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  • Energy Research

  • Financial Viability of Grid-connected Solar PV and Wind Power Systems in Germany

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2016 Germany Publisher:Elsevier BV
    Authors: Weida, Sebastian; Kumar, Subhash; Madlener, Reinhard;

    doi: 10.1016/j.egypro.2016.12.103 , 10.18154/rwth-2017-02868

    Energy Economics Iberian Conference, EEIC 2016, 4-5 February 2016, Lisbon, Portugal / Edited by Isabel Soares and Pablo Arocena Garro 1st Energy Economics Iberian Conference, EEIC 2016, Lisbon, Portugal, 4 Feb 2016 - 5 Feb 2016; Amsterdam [u.a.] : Elsevier, Energy procedia, 106, 35-45 (2016). doi:10.1016/j.egypro.2016.12.103 Published by Elsevier, Amsterdam [u.a.]

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energy Procediaarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article . 2016 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article
    License: CC BY NC ND
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article . 2016
    License: CC BY NC ND
    Data sources: BASE (Open Access Aggregator)
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Journal
    Data sources: Microsoft Academic Graph
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Publikationsserver der RWTH Aachen University
    Conference object . 2016
    Data sources: Publikationsserver der RWTH Aachen University
    https://dx.doi.org/10.18154/rw...
    Conference object . 2016
    Data sources: Datacite
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    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energy Procediaarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article . 2016 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article . 2016
      License: CC BY NC ND
      Data sources: BASE (Open Access Aggregator)
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Journal
      Data sources: Microsoft Academic Graph
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Publikationsserver der RWTH Aachen University
      Conference object . 2016
      Data sources: Publikationsserver der RWTH Aachen University
      https://dx.doi.org/10.18154/rw...
      Conference object . 2016
      Data sources: Datacite
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  • Financial Viability of Grid-connected Solar PV and Wind Power Systems in Germany

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2016 Germany Publisher:Elsevier BV
    Authors: Weida, Sebastian; Kumar, Subhash; Madlener, Reinhard;

    doi: 10.1016/j.egypro.2016.12.103 , 10.18154/rwth-2017-02868

    Energy Economics Iberian Conference, EEIC 2016, 4-5 February 2016, Lisbon, Portugal / Edited by Isabel Soares and Pablo Arocena Garro 1st Energy Economics Iberian Conference, EEIC 2016, Lisbon, Portugal, 4 Feb 2016 - 5 Feb 2016; Amsterdam [u.a.] : Elsevier, Energy procedia, 106, 35-45 (2016). doi:10.1016/j.egypro.2016.12.103 Published by Elsevier, Amsterdam [u.a.]

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energy Procediaarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article . 2016 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article
    License: CC BY NC ND
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Article . 2016
    License: CC BY NC ND
    Data sources: BASE (Open Access Aggregator)
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energy Procedia
    Journal
    Data sources: Microsoft Academic Graph
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Publikationsserver der RWTH Aachen University
    Conference object . 2016
    Data sources: Publikationsserver der RWTH Aachen University
    https://dx.doi.org/10.18154/rw...
    Conference object . 2016
    Data sources: Datacite
    Claim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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    38
    citations38
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energy Procediaarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article . 2016 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Article . 2016
      License: CC BY NC ND
      Data sources: BASE (Open Access Aggregator)
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energy Procedia
      Journal
      Data sources: Microsoft Academic Graph
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Publikationsserver der RWTH Aachen University
      Conference object . 2016
      Data sources: Publikationsserver der RWTH Aachen University
      https://dx.doi.org/10.18154/rw...
      Conference object . 2016
      Data sources: Datacite
      Claim

      This Research product is the result of merged Research products in OpenAIRE.

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  • Impact of renewable auctions on renewable energy promotion taking the spatial dimension into account

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 2019 Germany
    Authors: Sheykhha, Siamak; Madlener, Reinhard; Borggrefe, Frieder;

    At present, the integration of renewables, and especially wind power plants, in the electricity market, accentuates the role of the capacity market mechanism as an important means for the further diffusion of mature renewable energy technologies. The Capacity market is one of the main solutions for improving supply adequacy. This paper studies the impact of the capacity market on supply adequacy in an advanced long-term electricity market model with a noticeable share of renewable energy, simulating the market by applying a bottom-up approach. In this regard, the entire electricity market of Europe is simulated in the HECTOR model, taking a system dynamics perspective. The model simulates the electricity market of 28 European countries, with a special focus on Germany. In addition, the auctions studied are analyzed on two different spatial levels, the state and the national level. In the state level design, all wind power plants within Germany are assumed to bid within the federal state they are located and the market is cleared at the state level. In the national level design , all wind power plants located in different states bid in a national market, which represents the German market. Comparing the results obtained for the market design reveals the superior spatial platform for the implementation of renewable energy auctions. The results obtained allow identification of the influence of capacity market on the performance of the electricity market and wind generation investment considering detailed and comprehensive categorization of wind power plants. Categorization of wind technologies is based on their regional potential. Furthermore, impacts of capacity market on market performance of neighboring regions in an interconnected market, considering different spatial platforms will be scrutinized. Methods: HECTOR is a simulation model which simulates supply side of electricity market of Europe with system dynamics perspective. It consists of five main modules which all of them are executed simultaneously with hourly resolution. Main modules includes: capacity investment, plant bidding logic, decentral production, residual demand and market clearance. The objective function of this long-term model, which minimizes total system costs subject to a set of constraints, is being solved in market clearance module. This function matches supply and residual demand considering regional constraints such as import and export costs and transmission capacities in order to find lowest total system cost. A zooming approach has been used to politically measure the optimal regional resolution in Germany which market performance can be maximized with. Results: As the database of this study is not completed yet, we just referred to the expected results from our work in progress which will be as follows: First, a group of results, provides us information about the impacts of capacity market on the installed capacity of wind technologies in different regions of Germany

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DLR publication serv...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DLR publication server
    Conference object . 2019
    Data sources: DLR publication server
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DLR publication server
    Other literature type . 2019
    Data sources: DLR publication server
    DLR publication server
    Conference object . 2019 . Peer-reviewed
    Full-Text: https://elib.dlr.de/133147/1/359_abstract_20190331_203739.pdf
    Data sources: DLR publication server
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    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DLR publication serv...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DLR publication server
      Conference object . 2019
      Data sources: DLR publication server
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DLR publication server
      Other literature type . 2019
      Data sources: DLR publication server
      DLR publication server
      Conference object . 2019 . Peer-reviewed
      Full-Text: https://elib.dlr.de/133147/1/359_abstract_20190331_203739.pdf
      Data sources: DLR publication server
      Claim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.

  • Impact of renewable auctions on renewable energy promotion taking the spatial dimension into account

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 2019 Germany
    Authors: Sheykhha, Siamak; Madlener, Reinhard; Borggrefe, Frieder;

    At present, the integration of renewables, and especially wind power plants, in the electricity market, accentuates the role of the capacity market mechanism as an important means for the further diffusion of mature renewable energy technologies. The Capacity market is one of the main solutions for improving supply adequacy. This paper studies the impact of the capacity market on supply adequacy in an advanced long-term electricity market model with a noticeable share of renewable energy, simulating the market by applying a bottom-up approach. In this regard, the entire electricity market of Europe is simulated in the HECTOR model, taking a system dynamics perspective. The model simulates the electricity market of 28 European countries, with a special focus on Germany. In addition, the auctions studied are analyzed on two different spatial levels, the state and the national level. In the state level design, all wind power plants within Germany are assumed to bid within the federal state they are located and the market is cleared at the state level. In the national level design , all wind power plants located in different states bid in a national market, which represents the German market. Comparing the results obtained for the market design reveals the superior spatial platform for the implementation of renewable energy auctions. The results obtained allow identification of the influence of capacity market on the performance of the electricity market and wind generation investment considering detailed and comprehensive categorization of wind power plants. Categorization of wind technologies is based on their regional potential. Furthermore, impacts of capacity market on market performance of neighboring regions in an interconnected market, considering different spatial platforms will be scrutinized. Methods: HECTOR is a simulation model which simulates supply side of electricity market of Europe with system dynamics perspective. It consists of five main modules which all of them are executed simultaneously with hourly resolution. Main modules includes: capacity investment, plant bidding logic, decentral production, residual demand and market clearance. The objective function of this long-term model, which minimizes total system costs subject to a set of constraints, is being solved in market clearance module. This function matches supply and residual demand considering regional constraints such as import and export costs and transmission capacities in order to find lowest total system cost. A zooming approach has been used to politically measure the optimal regional resolution in Germany which market performance can be maximized with. Results: As the database of this study is not completed yet, we just referred to the expected results from our work in progress which will be as follows: First, a group of results, provides us information about the impacts of capacity market on the installed capacity of wind technologies in different regions of Germany

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DLR publication serv...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DLR publication server
    Conference object . 2019
    Data sources: DLR publication server
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DLR publication server
    Other literature type . 2019
    Data sources: DLR publication server
    DLR publication server
    Conference object . 2019 . Peer-reviewed
    Full-Text: https://elib.dlr.de/133147/1/359_abstract_20190331_203739.pdf
    Data sources: DLR publication server
    Claim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DLR publication serv...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DLR publication server
      Conference object . 2019
      Data sources: DLR publication server
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DLR publication server
      Other literature type . 2019
      Data sources: DLR publication server
      DLR publication server
      Conference object . 2019 . Peer-reviewed
      Full-Text: https://elib.dlr.de/133147/1/359_abstract_20190331_203739.pdf
      Data sources: DLR publication server
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      This Research product is the result of merged Research products in OpenAIRE.

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  • Portfolio effects in green hydrogen production under temporal matching requirements

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    descriptionPublicationkeyboard_double_arrow_right Article 2024 Germany, Norway Publisher:Elsevier BV
    Authors: Casas Ferrús, M. Nieves; Ruhnau, Oliver; Madlener, Reinhard;

    doi: 10.1016/j.esr.2024.101580 , 10.2139/ssrn.4747405 , 10.18154/rwth-2024-11072

    handle: 11250/3180962

    Energy strategy reviews 56, 101580 (2024). doi:10.1016/j.esr.2024.101580 Published by Elsevier, Amsterdam [u.a.]

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  • Portfolio effects in green hydrogen production under temporal matching requirements

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    descriptionPublicationkeyboard_double_arrow_right Article 2024 Germany, Norway Publisher:Elsevier BV
    Authors: Casas Ferrús, M. Nieves; Ruhnau, Oliver; Madlener, Reinhard;

    doi: 10.1016/j.esr.2024.101580 , 10.2139/ssrn.4747405 , 10.18154/rwth-2024-11072

    handle: 11250/3180962

    Energy strategy reviews 56, 101580 (2024). doi:10.1016/j.esr.2024.101580 Published by Elsevier, Amsterdam [u.a.]

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  • A Critical Evaluation of the 2022 Greenhouse Gas Mitigation Quota in Germany from an Environmental Economics and Policy Perspective

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Elsevier BV
    Authors: Constanze Liepold; Paul Fabianek; Reinhard Madlener;

    doi: 10.2139/ssrn.4747571 , 10.1016/j.enpol.2024.114200 , 10.2139/ssrn.4593294 , 10.18154/rwth-2024-06680

    Energy policy 191, 114200 (2024). doi:10.1016/j.enpol.2024.114200 Published by Elsevier Science, Amsterdam [u.a.]

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  • A Critical Evaluation of the 2022 Greenhouse Gas Mitigation Quota in Germany from an Environmental Economics and Policy Perspective

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Elsevier BV
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    doi: 10.2139/ssrn.4747571 , 10.1016/j.enpol.2024.114200 , 10.2139/ssrn.4593294 , 10.18154/rwth-2024-06680

    Energy policy 191, 114200 (2024). doi:10.1016/j.enpol.2024.114200 Published by Elsevier Science, Amsterdam [u.a.]

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    descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC
    Authors: Fynn V. Hackstein; Reinhard Madlener;

    doi: 10.1186/s40517-024-00307-4

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      Geothermal Energy
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  • Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support

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    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en12193616 , 10.2139/ssrn.3515413 , 10.18154/rwth-2019-11899

    handle: 11250/2638718

    This paper aims to analyze what happens with renewable energy power plants, such as onshore wind, photovoltaics and biomass, when the public policy support based on the Renewable Energy Law expires. With its expiration, the first renewable energy (and especially onshore wind) power plants will have to be scrutinized as to whether they can economically continue operation, whether they have to be repowered, or whether they need to be decommissioned. The relative merits of these three alternatives are evaluated by applying real options analysis. In contrast to traditional project evaluation techniques, the real options approach takes advantage of the use of uncertain parameters included in the model, such as the development of the electricity price or electricity output. The results obtained suggest that parameters such as the level of future operation and maintenance costs, the expected development of the electricity price at the spot market, and the interrelations between these, as well as the development of the electricity output from renewables can significantly affect the profitability of these power plants and thus impact the decision about their further optimal operation.

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    Energies
    Other literature type . 2019
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    Energies
    Article . 2019 . Peer-reviewed
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    Energies
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    Article . 2019 . Peer-reviewed
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      Energies
      Other literature type . 2019
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      Energies
      Article . 2019 . Peer-reviewed
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      Energies
      Article . 2019
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      Energies
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      Norwegian Open Research Archives
      Article . 2019
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      Article . 2019
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      Article . 2019 . Peer-reviewed
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  • Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en12193616 , 10.2139/ssrn.3515413 , 10.18154/rwth-2019-11899

    handle: 11250/2638718

    This paper aims to analyze what happens with renewable energy power plants, such as onshore wind, photovoltaics and biomass, when the public policy support based on the Renewable Energy Law expires. With its expiration, the first renewable energy (and especially onshore wind) power plants will have to be scrutinized as to whether they can economically continue operation, whether they have to be repowered, or whether they need to be decommissioned. The relative merits of these three alternatives are evaluated by applying real options analysis. In contrast to traditional project evaluation techniques, the real options approach takes advantage of the use of uncertain parameters included in the model, such as the development of the electricity price or electricity output. The results obtained suggest that parameters such as the level of future operation and maintenance costs, the expected development of the electricity price at the spot market, and the interrelations between these, as well as the development of the electricity output from renewables can significantly affect the profitability of these power plants and thus impact the decision about their further optimal operation.

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    Energies
    Other literature type . 2019
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    Energies
    Article . 2019 . Peer-reviewed
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    Energies
    Article
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    Energies
    Article . 2019
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    Article . 2019
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    Article . 2019
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    Article . 2019 . Peer-reviewed
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      Article . 2019
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      Article . 2019
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      Article . 2019 . Peer-reviewed
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      Article . 2019
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  • Fuzzy Portfolio Optimization of Power Generation Assets

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    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2010 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en11113043 , 10.2139/ssrn.3305146 , 10.18154/rwth-2018-230600

    Fuzzy theory is proposed as an alternative to the probabilistic approach for assessing portfolios of power plants, in order to capture the complex reality of decision-making processes. This paper presents different fuzzy portfolio selection models, where the rate of returns as well as the investor’s aspiration levels of portfolio return and risk are regarded as fuzzy variables. Furthermore, portfolio risk is defined as a downside risk, which is why a semi-mean-absolute deviation portfolio selection model is introduced. Finally, as an illustration, the models presented are applied to a selection of power generation mixes. The efficient portfolio results show that the fuzzy portfolio selection models with different definitions of membership functions as well as the semi-mean-absolute deviation model perform better than the standard mean-variance approach. Moreover, introducing membership functions for the description of investors’ aspiration levels for the expected return and risk shows how the knowledge of experts, and investors’ subjective opinions, can be better integrated in the decision-making process than with probabilistic approaches.

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    Energies
    Other literature type . 2018
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    Energies
    Article . 2018 . Peer-reviewed
    License: CC BY
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    Energies
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    Energies
    Article . 2018
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    Article . 2018
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    Article . 2010 . Peer-reviewed
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      Energies
      Other literature type . 2018
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      Energies
      Article . 2018 . Peer-reviewed
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      Article . 2018
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      Article . 2010 . Peer-reviewed
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  • Fuzzy Portfolio Optimization of Power Generation Assets

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    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2010 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en11113043 , 10.2139/ssrn.3305146 , 10.18154/rwth-2018-230600

    Fuzzy theory is proposed as an alternative to the probabilistic approach for assessing portfolios of power plants, in order to capture the complex reality of decision-making processes. This paper presents different fuzzy portfolio selection models, where the rate of returns as well as the investor’s aspiration levels of portfolio return and risk are regarded as fuzzy variables. Furthermore, portfolio risk is defined as a downside risk, which is why a semi-mean-absolute deviation portfolio selection model is introduced. Finally, as an illustration, the models presented are applied to a selection of power generation mixes. The efficient portfolio results show that the fuzzy portfolio selection models with different definitions of membership functions as well as the semi-mean-absolute deviation model perform better than the standard mean-variance approach. Moreover, introducing membership functions for the description of investors’ aspiration levels for the expected return and risk shows how the knowledge of experts, and investors’ subjective opinions, can be better integrated in the decision-making process than with probabilistic approaches.

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    Energies
    Other literature type . 2018
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    Full-Text: http://www.mdpi.com/1996-1073/11/11/3043/pdf
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    Energies
    Article . 2018 . Peer-reviewed
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    Article . 2018
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    Energies
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    Publikationsserver der RWTH Aachen University
    Article . 2018
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    Article . 2010 . Peer-reviewed
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      Energies
      Other literature type . 2018
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      Energies
      Article . 2018 . Peer-reviewed
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      Energies
      Article . 2018
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      Publikationsserver der RWTH Aachen University
      Article . 2018
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      SSRN Electronic Journal
      Article . 2010 . Peer-reviewed
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      Article . 2018
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  • Sustainability performance of rural municipalities in Germany

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Springer Science and Business Media LLC
    Authors: Karami, Mahdi; Madlener, Reinhard;

    doi: 10.1186/s13705-023-00425-0 , 10.21203/rs.3.rs-2613829/v1 , 10.18154/rwth-2024-02934

    Abstract Background Sustainable rural development entails efforts to enhance the well-being of rural communities while safeguarding natural resources for future generations. The thorough examination of sustainable rural development is still scarce but nevertheless crucial, as it enables to reveal the various challenges and remaining potentials in rural areas, to identify key stakeholders and their respective roles in promoting sustainable rural development, and to determine the best practices for attaining set goals along the various sustainability dimensions considered. Germany has implemented a range of policies, initiatives, and programs to foster sustainable development, extending its efforts to also encompass rural areas. This study assesses the sustainability performance of rural municipalities in Germany, proposing a novel and comprehensive sustainability benchmarking system. For this purpose, the performance of selected rural municipalities along the ecological, social, economic, and technological dimensions is examined. Results Based on the systematic implementation of methodological stages, a rigorous literature review process, a systematic indicator selection, and stringent filtering criteria, the selected indicators of our study cover environmental, energy, quality of life, economic, and technological aspects. These indicators enable to efficiently and effectively measure, compare, and evaluate the sustainability performance of rural municipalities. After normalization, weighting, and aggregation of the considered indicators, the performance is visualized in radar charts. Radar charts are handy for comparing a larger number of variables and displaying them in compact and comprehensible form in a single chart. Finally, the overall relative sustainability performance of the selected rural municipalities in Germany is compared based on an aggregated single score. The adopted methodology of aggregating indicators enables us to assess the sustainability performance of municipalities as well as to highlight variations among them. Conclusion Most databases and sustainable development reports are updated only every couple of years and often do not report the performance of small rural municipalities but only larger (more urban) ones. By conducting a detailed analysis of these specific cases, we can identify key challenges and opportunities unique to rural communities and develop targeted strategies for a more sustainable development. Adding digitalization as a technological value indicator makes our approach more comprehensive than comparable others, and accounts for the important new sustainability dimension of societal transition. This study contributes to the existing literature by proposing a novel sustainability benchmarking system specifically tailored for rural areas. From a practical standpoint, the developed sustainability benchmarking system offers a practical tool for rural municipalities to assess and monitor their sustainability performance and to reflect on variations among them. The identified dimensions and indicators can guide the development of targeted strategies and interventions aimed at enhancing sustainability in rural communities. Finally, policymakers can utilize the benchmarking results to design policies, (incentive) programs, and initiatives that address the specific sustainability challenges faced by rural municipalities and account for limitations in the local potentials.

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    Energy, Sustainability and Society
    Article . 2023 . Peer-reviewed
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    https://doi.org/10.21203/rs.3....
    Article . 2023 . Peer-reviewed
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    Publikationsserver der RWTH Aachen University
    Article . 2023
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  • Sustainability performance of rural municipalities in Germany

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Springer Science and Business Media LLC
    Authors: Karami, Mahdi; Madlener, Reinhard;

    doi: 10.1186/s13705-023-00425-0 , 10.21203/rs.3.rs-2613829/v1 , 10.18154/rwth-2024-02934

    Abstract Background Sustainable rural development entails efforts to enhance the well-being of rural communities while safeguarding natural resources for future generations. The thorough examination of sustainable rural development is still scarce but nevertheless crucial, as it enables to reveal the various challenges and remaining potentials in rural areas, to identify key stakeholders and their respective roles in promoting sustainable rural development, and to determine the best practices for attaining set goals along the various sustainability dimensions considered. Germany has implemented a range of policies, initiatives, and programs to foster sustainable development, extending its efforts to also encompass rural areas. This study assesses the sustainability performance of rural municipalities in Germany, proposing a novel and comprehensive sustainability benchmarking system. For this purpose, the performance of selected rural municipalities along the ecological, social, economic, and technological dimensions is examined. Results Based on the systematic implementation of methodological stages, a rigorous literature review process, a systematic indicator selection, and stringent filtering criteria, the selected indicators of our study cover environmental, energy, quality of life, economic, and technological aspects. These indicators enable to efficiently and effectively measure, compare, and evaluate the sustainability performance of rural municipalities. After normalization, weighting, and aggregation of the considered indicators, the performance is visualized in radar charts. Radar charts are handy for comparing a larger number of variables and displaying them in compact and comprehensible form in a single chart. Finally, the overall relative sustainability performance of the selected rural municipalities in Germany is compared based on an aggregated single score. The adopted methodology of aggregating indicators enables us to assess the sustainability performance of municipalities as well as to highlight variations among them. Conclusion Most databases and sustainable development reports are updated only every couple of years and often do not report the performance of small rural municipalities but only larger (more urban) ones. By conducting a detailed analysis of these specific cases, we can identify key challenges and opportunities unique to rural communities and develop targeted strategies for a more sustainable development. Adding digitalization as a technological value indicator makes our approach more comprehensive than comparable others, and accounts for the important new sustainability dimension of societal transition. This study contributes to the existing literature by proposing a novel sustainability benchmarking system specifically tailored for rural areas. From a practical standpoint, the developed sustainability benchmarking system offers a practical tool for rural municipalities to assess and monitor their sustainability performance and to reflect on variations among them. The identified dimensions and indicators can guide the development of targeted strategies and interventions aimed at enhancing sustainability in rural communities. Finally, policymakers can utilize the benchmarking results to design policies, (incentive) programs, and initiatives that address the specific sustainability challenges faced by rural municipalities and account for limitations in the local potentials.

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    Energy, Sustainability and Society
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    https://doi.org/10.21203/rs.3....
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  • Economic Feasibility of a Compressed Air Energy Storage System Under Market Uncertainty: A Real Options Approach

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 Germany Publisher:Elsevier BV
    Authors: Hammann, Eide; Madlener, Reinhard; Hilgers, Christoph;

    doi: 10.1016/j.egypro.2017.03.888 , 10.5445/ir/1000071410 , 10.18154/rwth-2017-09017

    Since the liberalization of electricity markets power prices are considered as highly volatile. Thus investment in new power plants is exposed to higher risks. Traditional capital budgeting methods lack the integration of flexibility. This can be overcome by applying real options analysis. In the context of an increasing electricity production by highly volatile renewable power plants, new solutions need to be found to ensure security of supply and to accommodate intermittent generation. Energy storage is seen as a possible solution. The Compressed Air Energy Storage (CAES) technology provides many key features that are relevant to deal with arising problems by renewables. Lately an advanced adiabatic version with higher roundtrip efficiencies has been discussed. However, high capital expenditures limit the economically viable implementation. As conventional CAES uses natural gas for production, it is exposed to price fluctuations on two markets. Depending on the configuration of component sizes, CAES storage units can be used for different purposes. A price model is set up to produce, in combination with the application of a Monte Carlo simulation, possible future price paths for power, natural gas and demand rate for minute reserve. Based on these price paths costs and revenues for different CAES applications are calculated. For the economic evaluation three different configurations are considered for both diabatic and adiabatic CAES. Investment in a diabatic CAES used for load-leveling purposes is found to be the most economical option.

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  • Economic Feasibility of a Compressed Air Energy Storage System Under Market Uncertainty: A Real Options Approach

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 Germany Publisher:Elsevier BV
    Authors: Hammann, Eide; Madlener, Reinhard; Hilgers, Christoph;

    doi: 10.1016/j.egypro.2017.03.888 , 10.5445/ir/1000071410 , 10.18154/rwth-2017-09017

    Since the liberalization of electricity markets power prices are considered as highly volatile. Thus investment in new power plants is exposed to higher risks. Traditional capital budgeting methods lack the integration of flexibility. This can be overcome by applying real options analysis. In the context of an increasing electricity production by highly volatile renewable power plants, new solutions need to be found to ensure security of supply and to accommodate intermittent generation. Energy storage is seen as a possible solution. The Compressed Air Energy Storage (CAES) technology provides many key features that are relevant to deal with arising problems by renewables. Lately an advanced adiabatic version with higher roundtrip efficiencies has been discussed. However, high capital expenditures limit the economically viable implementation. As conventional CAES uses natural gas for production, it is exposed to price fluctuations on two markets. Depending on the configuration of component sizes, CAES storage units can be used for different purposes. A price model is set up to produce, in combination with the application of a Monte Carlo simulation, possible future price paths for power, natural gas and demand rate for minute reserve. Based on these price paths costs and revenues for different CAES applications are calculated. For the economic evaluation three different configurations are considered for both diabatic and adiabatic CAES. Investment in a diabatic CAES used for load-leveling purposes is found to be the most economical option.

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  • The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty

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    descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2020Embargo end date: 21 May 2024 Norway, Germany Publisher:MDPI AG
    Authors: Alexander Wimmers; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en17010104 , 10.2139/ssrn.4446634 , 10.2139/ssrn.3830442 , 10.14279/depositonce-20279 , 10.18154/rwth-2024-02933

    handle: 11250/3120176

    Guarantees of Origin (GOs) were introduced in order to enhance transparency about the origin of green electricity produced in Europe, and to deliberately empower end-consumers to participate in the sustainable energy transition. The separation of electricity and the GO trade has resulted in a prosperous GO market that, however, has been characterized by non-transparency and opportunistic behavior. Historic price development has been opaque and can therefore not be used to forecast future GO prices. This paper, firstly, provides a thorough overview of the European GO market and an analysis of the historic price development; secondly, it proposes a model, the first of its kind, for determining future price developments of European GOs for different renewable energy technologies in different countries up to 2040. For household consumers, GO price determination is based on willingness-to-pay estimates from the literature, whereas for non-household consumers, the model introduces a novel approach to determine the willingness to pay for green electricity. Four different scenarios are considered (Status Quo, Sustainable Development, Full Harmonization, and Ideal Development) and annual GO data are used. The findings indicate that GO prices can be expected to increase on average in the next years, with prices ranging from 1.77 to 3.36 EUR/MWh in 2040. Sensitivity analysis shows that ‘WTP percentages’ have the highest influence on GO prices. It can be concluded that future GO prices will remain challenging to predict, even with the support of sophisticated models, due to the expected supply and demand-driven market growth affecting the market equilibrium prices for different GOs in different countries.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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    Publikationsserver der RWTH Aachen University
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  • The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2020Embargo end date: 21 May 2024 Norway, Germany Publisher:MDPI AG
    Authors: Alexander Wimmers; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en17010104 , 10.2139/ssrn.4446634 , 10.2139/ssrn.3830442 , 10.14279/depositonce-20279 , 10.18154/rwth-2024-02933

    handle: 11250/3120176

    Guarantees of Origin (GOs) were introduced in order to enhance transparency about the origin of green electricity produced in Europe, and to deliberately empower end-consumers to participate in the sustainable energy transition. The separation of electricity and the GO trade has resulted in a prosperous GO market that, however, has been characterized by non-transparency and opportunistic behavior. Historic price development has been opaque and can therefore not be used to forecast future GO prices. This paper, firstly, provides a thorough overview of the European GO market and an analysis of the historic price development; secondly, it proposes a model, the first of its kind, for determining future price developments of European GOs for different renewable energy technologies in different countries up to 2040. For household consumers, GO price determination is based on willingness-to-pay estimates from the literature, whereas for non-household consumers, the model introduces a novel approach to determine the willingness to pay for green electricity. Four different scenarios are considered (Status Quo, Sustainable Development, Full Harmonization, and Ideal Development) and annual GO data are used. The findings indicate that GO prices can be expected to increase on average in the next years, with prices ranging from 1.77 to 3.36 EUR/MWh in 2040. Sensitivity analysis shows that ‘WTP percentages’ have the highest influence on GO prices. It can be concluded that future GO prices will remain challenging to predict, even with the support of sophisticated models, due to the expected supply and demand-driven market growth affecting the market equilibrium prices for different GOs in different countries.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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  • Financial Viability of Grid-connected Solar PV and Wind Power Systems in Germany

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2016 Germany Publisher:Elsevier BV
    Authors: Weida, Sebastian; Kumar, Subhash; Madlener, Reinhard;

    doi: 10.1016/j.egypro.2016.12.103 , 10.18154/rwth-2017-02868

    Energy Economics Iberian Conference, EEIC 2016, 4-5 February 2016, Lisbon, Portugal / Edited by Isabel Soares and Pablo Arocena Garro 1st Energy Economics Iberian Conference, EEIC 2016, Lisbon, Portugal, 4 Feb 2016 - 5 Feb 2016; Amsterdam [u.a.] : Elsevier, Energy procedia, 106, 35-45 (2016). doi:10.1016/j.egypro.2016.12.103 Published by Elsevier, Amsterdam [u.a.]

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    Energy Procedia
    Article . 2016 . Peer-reviewed
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    Energy Procedia
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    Energy Procedia
    Article . 2016
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    Energy Procedia
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      Energy Procedia
      Article . 2016 . Peer-reviewed
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      Energy Procedia
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      Energy Procedia
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  • Financial Viability of Grid-connected Solar PV and Wind Power Systems in Germany

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2016 Germany Publisher:Elsevier BV
    Authors: Weida, Sebastian; Kumar, Subhash; Madlener, Reinhard;

    doi: 10.1016/j.egypro.2016.12.103 , 10.18154/rwth-2017-02868

    Energy Economics Iberian Conference, EEIC 2016, 4-5 February 2016, Lisbon, Portugal / Edited by Isabel Soares and Pablo Arocena Garro 1st Energy Economics Iberian Conference, EEIC 2016, Lisbon, Portugal, 4 Feb 2016 - 5 Feb 2016; Amsterdam [u.a.] : Elsevier, Energy procedia, 106, 35-45 (2016). doi:10.1016/j.egypro.2016.12.103 Published by Elsevier, Amsterdam [u.a.]

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  • Impact of renewable auctions on renewable energy promotion taking the spatial dimension into account

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    descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 2019 Germany
    Authors: Sheykhha, Siamak; Madlener, Reinhard; Borggrefe, Frieder;

    At present, the integration of renewables, and especially wind power plants, in the electricity market, accentuates the role of the capacity market mechanism as an important means for the further diffusion of mature renewable energy technologies. The Capacity market is one of the main solutions for improving supply adequacy. This paper studies the impact of the capacity market on supply adequacy in an advanced long-term electricity market model with a noticeable share of renewable energy, simulating the market by applying a bottom-up approach. In this regard, the entire electricity market of Europe is simulated in the HECTOR model, taking a system dynamics perspective. The model simulates the electricity market of 28 European countries, with a special focus on Germany. In addition, the auctions studied are analyzed on two different spatial levels, the state and the national level. In the state level design, all wind power plants within Germany are assumed to bid within the federal state they are located and the market is cleared at the state level. In the national level design , all wind power plants located in different states bid in a national market, which represents the German market. Comparing the results obtained for the market design reveals the superior spatial platform for the implementation of renewable energy auctions. The results obtained allow identification of the influence of capacity market on the performance of the electricity market and wind generation investment considering detailed and comprehensive categorization of wind power plants. Categorization of wind technologies is based on their regional potential. Furthermore, impacts of capacity market on market performance of neighboring regions in an interconnected market, considering different spatial platforms will be scrutinized. Methods: HECTOR is a simulation model which simulates supply side of electricity market of Europe with system dynamics perspective. It consists of five main modules which all of them are executed simultaneously with hourly resolution. Main modules includes: capacity investment, plant bidding logic, decentral production, residual demand and market clearance. The objective function of this long-term model, which minimizes total system costs subject to a set of constraints, is being solved in market clearance module. This function matches supply and residual demand considering regional constraints such as import and export costs and transmission capacities in order to find lowest total system cost. A zooming approach has been used to politically measure the optimal regional resolution in Germany which market performance can be maximized with. Results: As the database of this study is not completed yet, we just referred to the expected results from our work in progress which will be as follows: First, a group of results, provides us information about the impacts of capacity market on the installed capacity of wind technologies in different regions of Germany

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  • Impact of renewable auctions on renewable energy promotion taking the spatial dimension into account

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    descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 2019 Germany
    Authors: Sheykhha, Siamak; Madlener, Reinhard; Borggrefe, Frieder;

    At present, the integration of renewables, and especially wind power plants, in the electricity market, accentuates the role of the capacity market mechanism as an important means for the further diffusion of mature renewable energy technologies. The Capacity market is one of the main solutions for improving supply adequacy. This paper studies the impact of the capacity market on supply adequacy in an advanced long-term electricity market model with a noticeable share of renewable energy, simulating the market by applying a bottom-up approach. In this regard, the entire electricity market of Europe is simulated in the HECTOR model, taking a system dynamics perspective. The model simulates the electricity market of 28 European countries, with a special focus on Germany. In addition, the auctions studied are analyzed on two different spatial levels, the state and the national level. In the state level design, all wind power plants within Germany are assumed to bid within the federal state they are located and the market is cleared at the state level. In the national level design , all wind power plants located in different states bid in a national market, which represents the German market. Comparing the results obtained for the market design reveals the superior spatial platform for the implementation of renewable energy auctions. The results obtained allow identification of the influence of capacity market on the performance of the electricity market and wind generation investment considering detailed and comprehensive categorization of wind power plants. Categorization of wind technologies is based on their regional potential. Furthermore, impacts of capacity market on market performance of neighboring regions in an interconnected market, considering different spatial platforms will be scrutinized. Methods: HECTOR is a simulation model which simulates supply side of electricity market of Europe with system dynamics perspective. It consists of five main modules which all of them are executed simultaneously with hourly resolution. Main modules includes: capacity investment, plant bidding logic, decentral production, residual demand and market clearance. The objective function of this long-term model, which minimizes total system costs subject to a set of constraints, is being solved in market clearance module. This function matches supply and residual demand considering regional constraints such as import and export costs and transmission capacities in order to find lowest total system cost. A zooming approach has been used to politically measure the optimal regional resolution in Germany which market performance can be maximized with. Results: As the database of this study is not completed yet, we just referred to the expected results from our work in progress which will be as follows: First, a group of results, provides us information about the impacts of capacity market on the installed capacity of wind technologies in different regions of Germany

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  • Portfolio effects in green hydrogen production under temporal matching requirements

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    descriptionPublicationkeyboard_double_arrow_right Article 2024 Germany, Norway Publisher:Elsevier BV
    Authors: Casas Ferrús, M. Nieves; Ruhnau, Oliver; Madlener, Reinhard;

    doi: 10.1016/j.esr.2024.101580 , 10.2139/ssrn.4747405 , 10.18154/rwth-2024-11072

    handle: 11250/3180962

    Energy strategy reviews 56, 101580 (2024). doi:10.1016/j.esr.2024.101580 Published by Elsevier, Amsterdam [u.a.]

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  • Portfolio effects in green hydrogen production under temporal matching requirements

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    descriptionPublicationkeyboard_double_arrow_right Article 2024 Germany, Norway Publisher:Elsevier BV
    Authors: Casas Ferrús, M. Nieves; Ruhnau, Oliver; Madlener, Reinhard;

    doi: 10.1016/j.esr.2024.101580 , 10.2139/ssrn.4747405 , 10.18154/rwth-2024-11072

    handle: 11250/3180962

    Energy strategy reviews 56, 101580 (2024). doi:10.1016/j.esr.2024.101580 Published by Elsevier, Amsterdam [u.a.]

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  • A Critical Evaluation of the 2022 Greenhouse Gas Mitigation Quota in Germany from an Environmental Economics and Policy Perspective

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Elsevier BV
    Authors: Constanze Liepold; Paul Fabianek; Reinhard Madlener;

    doi: 10.2139/ssrn.4747571 , 10.1016/j.enpol.2024.114200 , 10.2139/ssrn.4593294 , 10.18154/rwth-2024-06680

    Energy policy 191, 114200 (2024). doi:10.1016/j.enpol.2024.114200 Published by Elsevier Science, Amsterdam [u.a.]

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      Energy Policy
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      Publikationsserver der RWTH Aachen University
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  • A Critical Evaluation of the 2022 Greenhouse Gas Mitigation Quota in Germany from an Environmental Economics and Policy Perspective

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Elsevier BV
    Authors: Constanze Liepold; Paul Fabianek; Reinhard Madlener;

    doi: 10.2139/ssrn.4747571 , 10.1016/j.enpol.2024.114200 , 10.2139/ssrn.4593294 , 10.18154/rwth-2024-06680

    Energy policy 191, 114200 (2024). doi:10.1016/j.enpol.2024.114200 Published by Elsevier Science, Amsterdam [u.a.]

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    Energy Policy
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    Publikationsserver der RWTH Aachen University
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      Energy Policy
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      Publikationsserver der RWTH Aachen University
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      https://doi.org/10.2139/ssrn.4...
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      Article . 2023 . Peer-reviewed
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  • Correction: Sustainable operation of geothermal power plants: why economics matters

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC
    Authors: Fynn V. Hackstein; Reinhard Madlener;

    doi: 10.1186/s40517-024-00307-4

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Geothermal Energyarrow_drop_down
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    Geothermal Energy
    Article . 2024 . Peer-reviewed
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    Geothermal Energy
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      Geothermal Energy
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  • Correction: Sustainable operation of geothermal power plants: why economics matters

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    descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC
    Authors: Fynn V. Hackstein; Reinhard Madlener;

    doi: 10.1186/s40517-024-00307-4

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Geothermal Energyarrow_drop_down
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    Geothermal Energy
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    Geothermal Energy
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  • Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support

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    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en12193616 , 10.2139/ssrn.3515413 , 10.18154/rwth-2019-11899

    handle: 11250/2638718

    This paper aims to analyze what happens with renewable energy power plants, such as onshore wind, photovoltaics and biomass, when the public policy support based on the Renewable Energy Law expires. With its expiration, the first renewable energy (and especially onshore wind) power plants will have to be scrutinized as to whether they can economically continue operation, whether they have to be repowered, or whether they need to be decommissioned. The relative merits of these three alternatives are evaluated by applying real options analysis. In contrast to traditional project evaluation techniques, the real options approach takes advantage of the use of uncertain parameters included in the model, such as the development of the electricity price or electricity output. The results obtained suggest that parameters such as the level of future operation and maintenance costs, the expected development of the electricity price at the spot market, and the interrelations between these, as well as the development of the electricity output from renewables can significantly affect the profitability of these power plants and thus impact the decision about their further optimal operation.

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    Energies
    Other literature type . 2019
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    Energies
    Article . 2019 . Peer-reviewed
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    Article . 2019
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    Publikationsserver der RWTH Aachen University
    Article . 2019
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    Article . 2019 . Peer-reviewed
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    Article . 2019
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      Energies
      Other literature type . 2019
      License: CC BY
      Full-Text: http://www.mdpi.com/1996-1073/12/19/3616/pdf
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      Energies
      Article . 2019 . Peer-reviewed
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      Energies
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      Energies
      Article . 2019
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      Energies
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      Norwegian Open Research Archives
      Article . 2019
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      Publikationsserver der RWTH Aachen University
      Article . 2019
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      SSRN Electronic Journal
      Article . 2019 . Peer-reviewed
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      Article . 2019
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  • Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en12193616 , 10.2139/ssrn.3515413 , 10.18154/rwth-2019-11899

    handle: 11250/2638718

    This paper aims to analyze what happens with renewable energy power plants, such as onshore wind, photovoltaics and biomass, when the public policy support based on the Renewable Energy Law expires. With its expiration, the first renewable energy (and especially onshore wind) power plants will have to be scrutinized as to whether they can economically continue operation, whether they have to be repowered, or whether they need to be decommissioned. The relative merits of these three alternatives are evaluated by applying real options analysis. In contrast to traditional project evaluation techniques, the real options approach takes advantage of the use of uncertain parameters included in the model, such as the development of the electricity price or electricity output. The results obtained suggest that parameters such as the level of future operation and maintenance costs, the expected development of the electricity price at the spot market, and the interrelations between these, as well as the development of the electricity output from renewables can significantly affect the profitability of these power plants and thus impact the decision about their further optimal operation.

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    Energies
    Other literature type . 2019
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    Energies
    Article . 2019 . Peer-reviewed
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    Energies
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    SSRN Electronic Journal
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    Energies
    Article . 2019
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    Energies
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    Norwegian Open Research Archives
    Article . 2019
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    Publikationsserver der RWTH Aachen University
    Article . 2019
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    Article . 2019 . Peer-reviewed
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      Energies
      Other literature type . 2019
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      Energies
      Article . 2019 . Peer-reviewed
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      Energies
      Article . 2019
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      Norwegian Open Research Archives
      Article . 2019
      Data sources: Norwegian Open Research Archives
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      Publikationsserver der RWTH Aachen University
      Article . 2019
      Data sources: Publikationsserver der RWTH Aachen University
      SSRN Electronic Journal
      Article . 2019 . Peer-reviewed
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      https://dx.doi.org/10.18154/rw...
      Article . 2019
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  • Fuzzy Portfolio Optimization of Power Generation Assets

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    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2010 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en11113043 , 10.2139/ssrn.3305146 , 10.18154/rwth-2018-230600

    Fuzzy theory is proposed as an alternative to the probabilistic approach for assessing portfolios of power plants, in order to capture the complex reality of decision-making processes. This paper presents different fuzzy portfolio selection models, where the rate of returns as well as the investor’s aspiration levels of portfolio return and risk are regarded as fuzzy variables. Furthermore, portfolio risk is defined as a downside risk, which is why a semi-mean-absolute deviation portfolio selection model is introduced. Finally, as an illustration, the models presented are applied to a selection of power generation mixes. The efficient portfolio results show that the fuzzy portfolio selection models with different definitions of membership functions as well as the semi-mean-absolute deviation model perform better than the standard mean-variance approach. Moreover, introducing membership functions for the description of investors’ aspiration levels for the expected return and risk shows how the knowledge of experts, and investors’ subjective opinions, can be better integrated in the decision-making process than with probabilistic approaches.

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    Energies
    Other literature type . 2018
    License: CC BY
    Full-Text: http://www.mdpi.com/1996-1073/11/11/3043/pdf
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    Energies
    Article . 2018 . Peer-reviewed
    License: CC BY
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    Energies
    Article
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    Energies
    Article . 2018
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    Energies
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    Publikationsserver der RWTH Aachen University
    Article . 2018
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    Article . 2010 . Peer-reviewed
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      Energies
      Other literature type . 2018
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      Energies
      Article . 2018 . Peer-reviewed
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      Article . 2018
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      Publikationsserver der RWTH Aachen University
      Article . 2018
      Data sources: Publikationsserver der RWTH Aachen University
      SSRN Electronic Journal
      Article . 2010 . Peer-reviewed
      Data sources: Crossref
      https://dx.doi.org/10.18154/rw...
      Article . 2018
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  • Fuzzy Portfolio Optimization of Power Generation Assets

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2010 Germany Publisher:MDPI AG
    Authors: Barbara Glensk; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en11113043 , 10.2139/ssrn.3305146 , 10.18154/rwth-2018-230600

    Fuzzy theory is proposed as an alternative to the probabilistic approach for assessing portfolios of power plants, in order to capture the complex reality of decision-making processes. This paper presents different fuzzy portfolio selection models, where the rate of returns as well as the investor’s aspiration levels of portfolio return and risk are regarded as fuzzy variables. Furthermore, portfolio risk is defined as a downside risk, which is why a semi-mean-absolute deviation portfolio selection model is introduced. Finally, as an illustration, the models presented are applied to a selection of power generation mixes. The efficient portfolio results show that the fuzzy portfolio selection models with different definitions of membership functions as well as the semi-mean-absolute deviation model perform better than the standard mean-variance approach. Moreover, introducing membership functions for the description of investors’ aspiration levels for the expected return and risk shows how the knowledge of experts, and investors’ subjective opinions, can be better integrated in the decision-making process than with probabilistic approaches.

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    Energies
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    Energies
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      Energies
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  • Sustainability performance of rural municipalities in Germany

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Springer Science and Business Media LLC
    Authors: Karami, Mahdi; Madlener, Reinhard;

    doi: 10.1186/s13705-023-00425-0 , 10.21203/rs.3.rs-2613829/v1 , 10.18154/rwth-2024-02934

    Abstract Background Sustainable rural development entails efforts to enhance the well-being of rural communities while safeguarding natural resources for future generations. The thorough examination of sustainable rural development is still scarce but nevertheless crucial, as it enables to reveal the various challenges and remaining potentials in rural areas, to identify key stakeholders and their respective roles in promoting sustainable rural development, and to determine the best practices for attaining set goals along the various sustainability dimensions considered. Germany has implemented a range of policies, initiatives, and programs to foster sustainable development, extending its efforts to also encompass rural areas. This study assesses the sustainability performance of rural municipalities in Germany, proposing a novel and comprehensive sustainability benchmarking system. For this purpose, the performance of selected rural municipalities along the ecological, social, economic, and technological dimensions is examined. Results Based on the systematic implementation of methodological stages, a rigorous literature review process, a systematic indicator selection, and stringent filtering criteria, the selected indicators of our study cover environmental, energy, quality of life, economic, and technological aspects. These indicators enable to efficiently and effectively measure, compare, and evaluate the sustainability performance of rural municipalities. After normalization, weighting, and aggregation of the considered indicators, the performance is visualized in radar charts. Radar charts are handy for comparing a larger number of variables and displaying them in compact and comprehensible form in a single chart. Finally, the overall relative sustainability performance of the selected rural municipalities in Germany is compared based on an aggregated single score. The adopted methodology of aggregating indicators enables us to assess the sustainability performance of municipalities as well as to highlight variations among them. Conclusion Most databases and sustainable development reports are updated only every couple of years and often do not report the performance of small rural municipalities but only larger (more urban) ones. By conducting a detailed analysis of these specific cases, we can identify key challenges and opportunities unique to rural communities and develop targeted strategies for a more sustainable development. Adding digitalization as a technological value indicator makes our approach more comprehensive than comparable others, and accounts for the important new sustainability dimension of societal transition. This study contributes to the existing literature by proposing a novel sustainability benchmarking system specifically tailored for rural areas. From a practical standpoint, the developed sustainability benchmarking system offers a practical tool for rural municipalities to assess and monitor their sustainability performance and to reflect on variations among them. The identified dimensions and indicators can guide the development of targeted strategies and interventions aimed at enhancing sustainability in rural communities. Finally, policymakers can utilize the benchmarking results to design policies, (incentive) programs, and initiatives that address the specific sustainability challenges faced by rural municipalities and account for limitations in the local potentials.

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    Energy, Sustainability and Society
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  • Sustainability performance of rural municipalities in Germany

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    descriptionPublicationkeyboard_double_arrow_right Article 2023 Germany Publisher:Springer Science and Business Media LLC
    Authors: Karami, Mahdi; Madlener, Reinhard;

    doi: 10.1186/s13705-023-00425-0 , 10.21203/rs.3.rs-2613829/v1 , 10.18154/rwth-2024-02934

    Abstract Background Sustainable rural development entails efforts to enhance the well-being of rural communities while safeguarding natural resources for future generations. The thorough examination of sustainable rural development is still scarce but nevertheless crucial, as it enables to reveal the various challenges and remaining potentials in rural areas, to identify key stakeholders and their respective roles in promoting sustainable rural development, and to determine the best practices for attaining set goals along the various sustainability dimensions considered. Germany has implemented a range of policies, initiatives, and programs to foster sustainable development, extending its efforts to also encompass rural areas. This study assesses the sustainability performance of rural municipalities in Germany, proposing a novel and comprehensive sustainability benchmarking system. For this purpose, the performance of selected rural municipalities along the ecological, social, economic, and technological dimensions is examined. Results Based on the systematic implementation of methodological stages, a rigorous literature review process, a systematic indicator selection, and stringent filtering criteria, the selected indicators of our study cover environmental, energy, quality of life, economic, and technological aspects. These indicators enable to efficiently and effectively measure, compare, and evaluate the sustainability performance of rural municipalities. After normalization, weighting, and aggregation of the considered indicators, the performance is visualized in radar charts. Radar charts are handy for comparing a larger number of variables and displaying them in compact and comprehensible form in a single chart. Finally, the overall relative sustainability performance of the selected rural municipalities in Germany is compared based on an aggregated single score. The adopted methodology of aggregating indicators enables us to assess the sustainability performance of municipalities as well as to highlight variations among them. Conclusion Most databases and sustainable development reports are updated only every couple of years and often do not report the performance of small rural municipalities but only larger (more urban) ones. By conducting a detailed analysis of these specific cases, we can identify key challenges and opportunities unique to rural communities and develop targeted strategies for a more sustainable development. Adding digitalization as a technological value indicator makes our approach more comprehensive than comparable others, and accounts for the important new sustainability dimension of societal transition. This study contributes to the existing literature by proposing a novel sustainability benchmarking system specifically tailored for rural areas. From a practical standpoint, the developed sustainability benchmarking system offers a practical tool for rural municipalities to assess and monitor their sustainability performance and to reflect on variations among them. The identified dimensions and indicators can guide the development of targeted strategies and interventions aimed at enhancing sustainability in rural communities. Finally, policymakers can utilize the benchmarking results to design policies, (incentive) programs, and initiatives that address the specific sustainability challenges faced by rural municipalities and account for limitations in the local potentials.

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    Energy, Sustainability and Society
    Article . 2023 . Peer-reviewed
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    https://doi.org/10.21203/rs.3....
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    Publikationsserver der RWTH Aachen University
    Article . 2023
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      Article . 2023 . Peer-reviewed
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  • Economic Feasibility of a Compressed Air Energy Storage System Under Market Uncertainty: A Real Options Approach

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 Germany Publisher:Elsevier BV
    Authors: Hammann, Eide; Madlener, Reinhard; Hilgers, Christoph;

    doi: 10.1016/j.egypro.2017.03.888 , 10.5445/ir/1000071410 , 10.18154/rwth-2017-09017

    Since the liberalization of electricity markets power prices are considered as highly volatile. Thus investment in new power plants is exposed to higher risks. Traditional capital budgeting methods lack the integration of flexibility. This can be overcome by applying real options analysis. In the context of an increasing electricity production by highly volatile renewable power plants, new solutions need to be found to ensure security of supply and to accommodate intermittent generation. Energy storage is seen as a possible solution. The Compressed Air Energy Storage (CAES) technology provides many key features that are relevant to deal with arising problems by renewables. Lately an advanced adiabatic version with higher roundtrip efficiencies has been discussed. However, high capital expenditures limit the economically viable implementation. As conventional CAES uses natural gas for production, it is exposed to price fluctuations on two markets. Depending on the configuration of component sizes, CAES storage units can be used for different purposes. A price model is set up to produce, in combination with the application of a Monte Carlo simulation, possible future price paths for power, natural gas and demand rate for minute reserve. Based on these price paths costs and revenues for different CAES applications are calculated. For the economic evaluation three different configurations are considered for both diabatic and adiabatic CAES. Investment in a diabatic CAES used for load-leveling purposes is found to be the most economical option.

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    Energy Procedia
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    Publikationsserver der RWTH Aachen University
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      Energy Procedia
      Article . 2017 . Peer-reviewed
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  • Economic Feasibility of a Compressed Air Energy Storage System Under Market Uncertainty: A Real Options Approach

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    descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 Germany Publisher:Elsevier BV
    Authors: Hammann, Eide; Madlener, Reinhard; Hilgers, Christoph;

    doi: 10.1016/j.egypro.2017.03.888 , 10.5445/ir/1000071410 , 10.18154/rwth-2017-09017

    Since the liberalization of electricity markets power prices are considered as highly volatile. Thus investment in new power plants is exposed to higher risks. Traditional capital budgeting methods lack the integration of flexibility. This can be overcome by applying real options analysis. In the context of an increasing electricity production by highly volatile renewable power plants, new solutions need to be found to ensure security of supply and to accommodate intermittent generation. Energy storage is seen as a possible solution. The Compressed Air Energy Storage (CAES) technology provides many key features that are relevant to deal with arising problems by renewables. Lately an advanced adiabatic version with higher roundtrip efficiencies has been discussed. However, high capital expenditures limit the economically viable implementation. As conventional CAES uses natural gas for production, it is exposed to price fluctuations on two markets. Depending on the configuration of component sizes, CAES storage units can be used for different purposes. A price model is set up to produce, in combination with the application of a Monte Carlo simulation, possible future price paths for power, natural gas and demand rate for minute reserve. Based on these price paths costs and revenues for different CAES applications are calculated. For the economic evaluation three different configurations are considered for both diabatic and adiabatic CAES. Investment in a diabatic CAES used for load-leveling purposes is found to be the most economical option.

    downloadFull-Text
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    KITopen (Karlsruhe Institute of Technologie)
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    Energy Procedia
    Article . 2017 . Peer-reviewed
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    Energy Procedia
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    https://dx.doi.org/10.5445/ir/...
    Article . 2017
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    Publikationsserver der RWTH Aachen University
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      Energy Procedia
      Article . 2017 . Peer-reviewed
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  • The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty

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    descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2020Embargo end date: 21 May 2024 Norway, Germany Publisher:MDPI AG
    Authors: Alexander Wimmers; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en17010104 , 10.2139/ssrn.4446634 , 10.2139/ssrn.3830442 , 10.14279/depositonce-20279 , 10.18154/rwth-2024-02933

    handle: 11250/3120176

    Guarantees of Origin (GOs) were introduced in order to enhance transparency about the origin of green electricity produced in Europe, and to deliberately empower end-consumers to participate in the sustainable energy transition. The separation of electricity and the GO trade has resulted in a prosperous GO market that, however, has been characterized by non-transparency and opportunistic behavior. Historic price development has been opaque and can therefore not be used to forecast future GO prices. This paper, firstly, provides a thorough overview of the European GO market and an analysis of the historic price development; secondly, it proposes a model, the first of its kind, for determining future price developments of European GOs for different renewable energy technologies in different countries up to 2040. For household consumers, GO price determination is based on willingness-to-pay estimates from the literature, whereas for non-household consumers, the model introduces a novel approach to determine the willingness to pay for green electricity. Four different scenarios are considered (Status Quo, Sustainable Development, Full Harmonization, and Ideal Development) and annual GO data are used. The findings indicate that GO prices can be expected to increase on average in the next years, with prices ranging from 1.77 to 3.36 EUR/MWh in 2040. Sensitivity analysis shows that ‘WTP percentages’ have the highest influence on GO prices. It can be concluded that future GO prices will remain challenging to predict, even with the support of sophisticated models, due to the expected supply and demand-driven market growth affecting the market equilibrium prices for different GOs in different countries.

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    https://dx.doi.org/10.14279/de...
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    Article . 2020 . Peer-reviewed
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      https://doi.org/10.2139/ssrn.4...
      Article . 2023 . Peer-reviewed
      Data sources: Crossref
      SSRN Electronic Journal
      Article . 2020 . Peer-reviewed
      Data sources: Crossref
      https://dx.doi.org/10.18154/rw...
      Article . 2024
      Data sources: Datacite
      https://papers.ssrn.com/sol3/p...
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  • The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty

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    descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2020Embargo end date: 21 May 2024 Norway, Germany Publisher:MDPI AG
    Authors: Alexander Wimmers; Reinhard Madlener; Reinhard Madlener;

    doi: 10.3390/en17010104 , 10.2139/ssrn.4446634 , 10.2139/ssrn.3830442 , 10.14279/depositonce-20279 , 10.18154/rwth-2024-02933

    handle: 11250/3120176

    Guarantees of Origin (GOs) were introduced in order to enhance transparency about the origin of green electricity produced in Europe, and to deliberately empower end-consumers to participate in the sustainable energy transition. The separation of electricity and the GO trade has resulted in a prosperous GO market that, however, has been characterized by non-transparency and opportunistic behavior. Historic price development has been opaque and can therefore not be used to forecast future GO prices. This paper, firstly, provides a thorough overview of the European GO market and an analysis of the historic price development; secondly, it proposes a model, the first of its kind, for determining future price developments of European GOs for different renewable energy technologies in different countries up to 2040. For household consumers, GO price determination is based on willingness-to-pay estimates from the literature, whereas for non-household consumers, the model introduces a novel approach to determine the willingness to pay for green electricity. Four different scenarios are considered (Status Quo, Sustainable Development, Full Harmonization, and Ideal Development) and annual GO data are used. The findings indicate that GO prices can be expected to increase on average in the next years, with prices ranging from 1.77 to 3.36 EUR/MWh in 2040. Sensitivity analysis shows that ‘WTP percentages’ have the highest influence on GO prices. It can be concluded that future GO prices will remain challenging to predict, even with the support of sophisticated models, due to the expected supply and demand-driven market growth affecting the market equilibrium prices for different GOs in different countries.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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    Energies
    Article . 2023 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    SSRN Electronic Journal
    Article
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://dx.doi.org/10.14279/de...
    Article . 2023
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Energies
    Article . 2023
    Data sources: DOAJ
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    NTNU Open
    Article . 2023
    Data sources: NTNU Open
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    Publikationsserver der RWTH Aachen University
    Article . 2024
    Data sources: Publikationsserver der RWTH Aachen University
    https://doi.org/10.2139/ssrn.4...
    Article . 2023 . Peer-reviewed
    Data sources: Crossref
    SSRN Electronic Journal
    Article . 2020 . Peer-reviewed
    Data sources: Crossref
    https://dx.doi.org/10.18154/rw...
    Article . 2024
    Data sources: Datacite
    https://papers.ssrn.com/sol3/p...
    Other literature type
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    This Research product is the result of merged Research products in OpenAIRE.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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      Energies
      Article . 2023 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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      SSRN Electronic Journal
      Article
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      https://dx.doi.org/10.14279/de...
      Article . 2023
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Energies
      Article . 2023
      Data sources: DOAJ
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      NTNU Open
      Article . 2023
      Data sources: NTNU Open
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Publikationsserver der RWTH Aachen University
      Article . 2024
      Data sources: Publikationsserver der RWTH Aachen University
      https://doi.org/10.2139/ssrn.4...
      Article . 2023 . Peer-reviewed
      Data sources: Crossref
      SSRN Electronic Journal
      Article . 2020 . Peer-reviewed
      Data sources: Crossref
      https://dx.doi.org/10.18154/rw...
      Article . 2024
      Data sources: Datacite
      https://papers.ssrn.com/sol3/p...
      Other literature type
      Data sources: Microsoft Academic Graph
      Claim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
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