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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Caroline Moeller; Jan Meiss; Berit Mueller; Markus Hlusiak; +3 Authors

    We present possible steps for Germany's capital region for a pathway towards high-level renewable energy contributions. To this end, we give an overview of the current energy policy and status of electricity generation and demand of two federal states: the capital city Berlin and the surrounding state of Brandenburg. In a second step we present alternative, feasible scenarios with focus on the years 2020 and 2030. All scenarios were numerically evaluated in hourly time steps using a cost optimisation approach. The required installed capacities in an 80% renewables scenario in the year 2020 consist of 8.8 GW wind energy, 4.8 GW photovoltaics, 0.4 GWel bioenergy, 0.6 GWel methanation and a gas storage capacity of 180 GWhth. In order to meet a renewable electricity share of 100% in 2030, approximately 9.5 GW wind energy, 10.2 GW photovoltaics and 0.4 GWel bioenergy will be needed, complemented by a methanation capacity of about 1.5 GWel and gas storage of about 530 GWhth. In 2030, an additional 11 GWhel of battery storage capacity will be required. Approximately 3 GW of thermal gas power plants will be necessary to cover the residual load in both scenarios. Furthermore, we studied the transmission capacities of extra-high voltage transmission lines in a second simulation and found them to be sufficient for the energy distribution within the investigated region.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2014 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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    36
    citations36
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2014 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Caroline Moeller; Jan Meiss; Berit Mueller; Markus Hlusiak; +3 Authors

    We present possible steps for Germany's capital region for a pathway towards high-level renewable energy contributions. To this end, we give an overview of the current energy policy and status of electricity generation and demand of two federal states: the capital city Berlin and the surrounding state of Brandenburg. In a second step we present alternative, feasible scenarios with focus on the years 2020 and 2030. All scenarios were numerically evaluated in hourly time steps using a cost optimisation approach. The required installed capacities in an 80% renewables scenario in the year 2020 consist of 8.8 GW wind energy, 4.8 GW photovoltaics, 0.4 GWel bioenergy, 0.6 GWel methanation and a gas storage capacity of 180 GWhth. In order to meet a renewable electricity share of 100% in 2030, approximately 9.5 GW wind energy, 10.2 GW photovoltaics and 0.4 GWel bioenergy will be needed, complemented by a methanation capacity of about 1.5 GWel and gas storage of about 530 GWhth. In 2030, an additional 11 GWhel of battery storage capacity will be required. Approximately 3 GW of thermal gas power plants will be necessary to cover the residual load in both scenarios. Furthermore, we studied the transmission capacities of extra-high voltage transmission lines in a second simulation and found them to be sufficient for the energy distribution within the investigated region.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2014 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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    36
    citations36
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2014 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
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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/
    Authors: Narges Ghorbani; Arman Aghahosseini; Christian Breyer;

    Abstract Transition of Iran's power system from 2015 to 2050 through three scenarios was modelled. Two scenarios present a transition pathway towards a fully renewable run power system with different involved sectors (power only, power sector coupled with desalination and non-energetic gas sectors). The third scenario is based on the country's current policies. The energy model performs an hourly resolution to guarantee meeting energy demand for every hour of the whole year. It is found that renewable energy resources in Iran can satisfy 625 TWh of power sector demand in 2050. Further, it is technically and economically feasible that electricity demand for supplying 101 million m3 desalinated water and 249 TWhLHV synthetic natural gas for non-energetic industrial gas demand can be supplied via renewable resources. A 100% renewable power system with 54 €/MWhel levelised cost of electricity (LCOE) is more cost-effective than the current power system in Iran with 88.3 €/MWhel LCOE in 2015. LCOE of the system can decrease further and reach to 41.3 €/MWhel in 2050 via sector coupling. On the other hand, the current policies of the country lead to an inefficient power system with a LCOE of 128 €/MWhel and 188 Mt/a emitted CO2 in 2050.

    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/ Renewable Energyarrow_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/
    Renewable Energy
    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/
    LUTPub
    Article . 2019
    Data sources: LUTPub
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2020 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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    60
    citations60
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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/ Renewable Energyarrow_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/
      Renewable Energy
      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/
      LUTPub
      Article . 2019
      Data sources: LUTPub
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2020 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
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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/
    Authors: Narges Ghorbani; Arman Aghahosseini; Christian Breyer;

    Abstract Transition of Iran's power system from 2015 to 2050 through three scenarios was modelled. Two scenarios present a transition pathway towards a fully renewable run power system with different involved sectors (power only, power sector coupled with desalination and non-energetic gas sectors). The third scenario is based on the country's current policies. The energy model performs an hourly resolution to guarantee meeting energy demand for every hour of the whole year. It is found that renewable energy resources in Iran can satisfy 625 TWh of power sector demand in 2050. Further, it is technically and economically feasible that electricity demand for supplying 101 million m3 desalinated water and 249 TWhLHV synthetic natural gas for non-energetic industrial gas demand can be supplied via renewable resources. A 100% renewable power system with 54 €/MWhel levelised cost of electricity (LCOE) is more cost-effective than the current power system in Iran with 88.3 €/MWhel LCOE in 2015. LCOE of the system can decrease further and reach to 41.3 €/MWhel in 2050 via sector coupling. On the other hand, the current policies of the country lead to an inefficient power system with a LCOE of 128 €/MWhel and 188 Mt/a emitted CO2 in 2050.

    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/ Renewable Energyarrow_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/
    Renewable Energy
    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/
    LUTPub
    Article . 2019
    Data sources: LUTPub
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2020 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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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/ Renewable Energyarrow_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/
      Renewable Energy
      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/
      LUTPub
      Article . 2019
      Data sources: LUTPub
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2020 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
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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/
    Authors: Christian Breyer; Otto Koskinen;

    AbstractThere are a fast growing number of global energy scenarios based on high shares of renewable energy (RE). However, many of them lack comprehensive analyses of energy storage systems. A review of global scenarios reveals that energy storage systems are assessed mainly qualitatively; quantitative assessments of global energy storage demand are scarce. The possible future roles of energy storage systems are plentiful: they can be used in short-term control (e.g. in power grid frequency control), as a medium-term balance mechanism (to shift daily production to meet demand), as long-term storage (seasonal shift), or to substitute grid extensions. Typically, only power storage is considered, if energy storage is assessed at all. Scenario-makers do not always assess the dynamics and synergies of energy storage systems in the power, heat and mobility sectors.To date, publications of the dynamics between continent-wide renewable energy production, transmission grids and energy storage capacities are not numerous. The existing body of research indicates that transmission lines connecting individual countries are regarded as a key component in enabling RE-based, low-cost energy systems. However, various issues could restrain the implementation of proposed grid connections. These barriers could be overcome by partially substituting energy grid reinforcements with energy storage solutions. Furthermore, less storage related curtailment of renewable energy could lead to improved energy system efficiency and cost. Therefore, energy scenarios that capture quantitatively different configurations of international energy exchange and its influence on regional storage systems are needed. High spatial and temporal resolution energy system models are needed to assess scenarios for high share of renewable energy supply and demand for energy storage.

    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
    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/
    http://dx.doi.org/10.1016/j.eg...
    Article . Peer-reviewed
    Data sources: CORE
    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/
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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
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      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
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      Energy Procedia
      Article . 2016
      License: CC BY NC ND
      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/
      http://dx.doi.org/10.1016/j.eg...
      Article . Peer-reviewed
      Data sources: CORE
      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/
      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/
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    Authors: Christian Breyer; Otto Koskinen;

    AbstractThere are a fast growing number of global energy scenarios based on high shares of renewable energy (RE). However, many of them lack comprehensive analyses of energy storage systems. A review of global scenarios reveals that energy storage systems are assessed mainly qualitatively; quantitative assessments of global energy storage demand are scarce. The possible future roles of energy storage systems are plentiful: they can be used in short-term control (e.g. in power grid frequency control), as a medium-term balance mechanism (to shift daily production to meet demand), as long-term storage (seasonal shift), or to substitute grid extensions. Typically, only power storage is considered, if energy storage is assessed at all. Scenario-makers do not always assess the dynamics and synergies of energy storage systems in the power, heat and mobility sectors.To date, publications of the dynamics between continent-wide renewable energy production, transmission grids and energy storage capacities are not numerous. The existing body of research indicates that transmission lines connecting individual countries are regarded as a key component in enabling RE-based, low-cost energy systems. However, various issues could restrain the implementation of proposed grid connections. These barriers could be overcome by partially substituting energy grid reinforcements with energy storage solutions. Furthermore, less storage related curtailment of renewable energy could lead to improved energy system efficiency and cost. Therefore, energy scenarios that capture quantitatively different configurations of international energy exchange and its influence on regional storage systems are needed. High spatial and temporal resolution energy system models are needed to assess scenarios for high share of renewable energy supply and demand for energy storage.

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    Energy Procedia
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    Energy Procedia
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    http://dx.doi.org/10.1016/j.eg...
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      Energy Procedia
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      Energy Procedia
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      Energy Procedia
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      http://dx.doi.org/10.1016/j.eg...
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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/
    Authors: Hans-Josef Fell; Christian Breyer; Dmitrii Bogdanov; Michael Child;

    Abstract A transition towards a 100% renewable energy (RE) power sector by 2050 is investigated for Europe. Simulations using an hourly resolved model define the roles of storage technologies in a least cost system configuration. The investigated technologies are batteries, pumped hydro storage, adiabatic compressed air energy storage, thermal energy storage, and power-to-gas technology. Modelling proceeds from 2015 to 2050 in five-year time steps, and considers current power plant capacities, their corresponding lifetimes, and current and projected electricity demand to determine an optimal mix of plants needed to achieve a 100% RE power system by 2050. This optimization is carried out with regards to the assumed costs and technological status of all technologies involved. The total power capacity required by 2050, shares of resources, and storage technologies are defined. Results indicate that the levelised cost of electricity falls from a current level of 69 €/MWhe to 51 €/MWhe in 2050 through the adoption of low cost RE power generation, improvements in efficiency, and expanded power interconnections. Additionally, flexibility of and stability in the power system are provided by increasing shares of energy storage solutions over time, in parallel with expected price decreases in these technologies. Total storage requirements include up to 3320 GWhe of batteries, 396 GWhe of pumped hydro storage, and 218,042 GWhgas of gas storage (8% for synthetic natural gas and 92% for biomethane) for the time period depending on the scenario. The cost share of levelised cost of storage in the total levelised cost of electricity increases from less than 2 €/MWh (2% of total) to 16 €/MWh (28% of total) over the same time. Outputs of power-to-gas begin in 2020 when renewable energy generation reaches 50% in the power system, increasing to a total of 44 TWhgas in 2050. A 100% RE system can be a more economical and efficient solution for Europe, one that is also compatible with climate change mitigation targets set out in the Paris Agreement.

    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
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    Energy Procedia
    Article . 2017 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
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    Energy Procedia
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    Authors: Hans-Josef Fell; Christian Breyer; Dmitrii Bogdanov; Michael Child;

    Abstract A transition towards a 100% renewable energy (RE) power sector by 2050 is investigated for Europe. Simulations using an hourly resolved model define the roles of storage technologies in a least cost system configuration. The investigated technologies are batteries, pumped hydro storage, adiabatic compressed air energy storage, thermal energy storage, and power-to-gas technology. Modelling proceeds from 2015 to 2050 in five-year time steps, and considers current power plant capacities, their corresponding lifetimes, and current and projected electricity demand to determine an optimal mix of plants needed to achieve a 100% RE power system by 2050. This optimization is carried out with regards to the assumed costs and technological status of all technologies involved. The total power capacity required by 2050, shares of resources, and storage technologies are defined. Results indicate that the levelised cost of electricity falls from a current level of 69 €/MWhe to 51 €/MWhe in 2050 through the adoption of low cost RE power generation, improvements in efficiency, and expanded power interconnections. Additionally, flexibility of and stability in the power system are provided by increasing shares of energy storage solutions over time, in parallel with expected price decreases in these technologies. Total storage requirements include up to 3320 GWhe of batteries, 396 GWhe of pumped hydro storage, and 218,042 GWhgas of gas storage (8% for synthetic natural gas and 92% for biomethane) for the time period depending on the scenario. The cost share of levelised cost of storage in the total levelised cost of electricity increases from less than 2 €/MWh (2% of total) to 16 €/MWh (28% of total) over the same time. Outputs of power-to-gas begin in 2020 when renewable energy generation reaches 50% in the power system, increasing to a total of 44 TWhgas in 2050. A 100% RE system can be a more economical and efficient solution for Europe, one that is also compatible with climate change mitigation targets set out in the Paris Agreement.

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    Energy Procedia
    Article . 2017 . Peer-reviewed
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      Energy Procedia
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Christian Breyer; Dmitrii Bogdanov; Ashish Gulagi;

    Abstract In this work, a 100% renewable energy (RE) transition pathway based on an hourly resolved model till 2050 is simulated for India, covering demand by the power, desalination and non-energetic industrial gas sectors. Energy storage technologies: batteries, pumped hydro storage (PHS), adiabatic compressed air energy storage, thermal energy storage and power-to-gas technology are used in the modelling to provide flexibility to the system and balance demand. The optimisation for each time period (transition is modeled in 5 year steps) is carried out on an assumed costs and technological status of all energy technologies involved. Results indicate that a 100% renewable based energy system is achievable in 2050 with the levelised cost of electricity falling from a current level of 58 €/MWhe to 52 €/MWhe in 2050 in the power scenario. With large scale intermittent renewable energy sources in the system, the demand for storage technologies increases from the current level to 2050. Batteries provide 2596 TWh, PHS provides 12 TWh and gas storage provides 197 TWh of electricity to the total electricity demand. Most of the storage demand will be based on batteries, which provide as much as 42% of the total electricity demand. The synchronised discharging of batteries in the night time and charging of power-to-gas in the early summer and summer months reduces curtailment on the following day, and thus is a part of a least cost solution. The combination of solar photovoltaics (PV) and battery storage evolves as the low-cost backbone of Indian energy supply, resulting in 3.2–4.3 TWp of installed PV capacities, depending on the applied scenario in 2050. During the monsoon period, complementarity of storage technologies and the transmission grid help to achieve uninterrupted power supply. The above results clearly prove that renewable energy options are the most competitive and a least-cost solution for achieving a net zero emission energy system. This is the first study of its kind in full hourly resolution for India.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Energy St...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Journal of Energy Storage
    Article . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Energy Storage
      Article . 2018 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Christian Breyer; Dmitrii Bogdanov; Ashish Gulagi;

    Abstract In this work, a 100% renewable energy (RE) transition pathway based on an hourly resolved model till 2050 is simulated for India, covering demand by the power, desalination and non-energetic industrial gas sectors. Energy storage technologies: batteries, pumped hydro storage (PHS), adiabatic compressed air energy storage, thermal energy storage and power-to-gas technology are used in the modelling to provide flexibility to the system and balance demand. The optimisation for each time period (transition is modeled in 5 year steps) is carried out on an assumed costs and technological status of all energy technologies involved. Results indicate that a 100% renewable based energy system is achievable in 2050 with the levelised cost of electricity falling from a current level of 58 €/MWhe to 52 €/MWhe in 2050 in the power scenario. With large scale intermittent renewable energy sources in the system, the demand for storage technologies increases from the current level to 2050. Batteries provide 2596 TWh, PHS provides 12 TWh and gas storage provides 197 TWh of electricity to the total electricity demand. Most of the storage demand will be based on batteries, which provide as much as 42% of the total electricity demand. The synchronised discharging of batteries in the night time and charging of power-to-gas in the early summer and summer months reduces curtailment on the following day, and thus is a part of a least cost solution. The combination of solar photovoltaics (PV) and battery storage evolves as the low-cost backbone of Indian energy supply, resulting in 3.2–4.3 TWp of installed PV capacities, depending on the applied scenario in 2050. During the monsoon period, complementarity of storage technologies and the transmission grid help to achieve uninterrupted power supply. The above results clearly prove that renewable energy options are the most competitive and a least-cost solution for achieving a net zero emission energy system. This is the first study of its kind in full hourly resolution for India.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Energy St...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Journal of Energy Storage
    Article . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Energy St...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Energy Storage
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    Authors: Christian Breyer; Gabriel Lopez; Arman Aghahosseini; Dmitrii Bogdanov; +2 Authors
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    IEEE Journal of Photovoltaics
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    Authors: Christian Breyer; Gabriel Lopez; Arman Aghahosseini; Dmitrii Bogdanov; +2 Authors
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    Authors: Dmitrii Bogdanov; Ayobami Solomon Oyewo; Theophilus Nii Odai Mensah; Yuko Nishida; +8 Authors

    AbstractThis study presents a novel approach to analysing the Japanese energy system transition from a mostly fossil fuels‐based system as of today, to a sustainable renewable energy‐based system by 2050. This research uses a novel technology‐rich, multi‐regional, multi‐sectoral, and cost‐optimal energy system model for the analysis, describing pathways to achieving the Japanese climate neutrality vision by 2050 based on renewables in the most cost‐effective manner. The energy transition of Japan is analysed for both rapid and delayed defossilisation pathways, impact of demand sensitivity, and benefit of sustainable energy imports in the form of electricity from Russia and China or e‐fuels from countries like Australia. The results show that a self‐sufficient energy system is achievable; however, some sustainable energy imports in the form of electricity and e‐fuels can be beneficial in further reducing overall investments, relieve pressure to develop local renewable resources and improving energy system flexibility. In addition, this research highlights the critical advantage of a fully renewable pathway, sector coupling, and high electrification rates as the most cost‐efficient way of achieving the Japanese climate neutrality vision by 2050. The renewable pathway also delivers an energy system with high levels of efficiency gains through direct and indirect renewable electricity usage.

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    IET Renewable Power Generation
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    IET Renewable Power Generation
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    Authors: Dmitrii Bogdanov; Ayobami Solomon Oyewo; Theophilus Nii Odai Mensah; Yuko Nishida; +8 Authors

    AbstractThis study presents a novel approach to analysing the Japanese energy system transition from a mostly fossil fuels‐based system as of today, to a sustainable renewable energy‐based system by 2050. This research uses a novel technology‐rich, multi‐regional, multi‐sectoral, and cost‐optimal energy system model for the analysis, describing pathways to achieving the Japanese climate neutrality vision by 2050 based on renewables in the most cost‐effective manner. The energy transition of Japan is analysed for both rapid and delayed defossilisation pathways, impact of demand sensitivity, and benefit of sustainable energy imports in the form of electricity from Russia and China or e‐fuels from countries like Australia. The results show that a self‐sufficient energy system is achievable; however, some sustainable energy imports in the form of electricity and e‐fuels can be beneficial in further reducing overall investments, relieve pressure to develop local renewable resources and improving energy system flexibility. In addition, this research highlights the critical advantage of a fully renewable pathway, sector coupling, and high electrification rates as the most cost‐efficient way of achieving the Japanese climate neutrality vision by 2050. The renewable pathway also delivers an energy system with high levels of efficiency gains through direct and indirect renewable electricity usage.

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    Authors: Abdelrahman Azzuni; Arman Aghahosseini; Manish Ram; Dmitrii Bogdanov; +2 Authors

    Energy security analysis is a strong tool for policy makers. It allows them to formulate policies that would enhance energy systems by targeting necessary actions. In this study, the impacts of transitioning from a fossil fuels to a renewables dominated energy system on energy security is analysed for Jordan. A Best Policy Scenario was developed for the Jordanian energy system to trace the transition to a 100% renewable energy system. Energy security was analysed for the future system by a qualitative approach utilising colour codes. The results reveal that the primary energy demand increases from 64 TWh in 2015 to 130 TWh in 2050, dominated by electricity and followed by heat and bioenergy. This indicates that a high level of direct and indirect electrification is the key to transition towards a fully sustainable energy system. Renewable electricity generation is projected to increase from 0.1 TWh in 2015 to 110.7 TWh in 2050, with a solar photovoltaic share of 92%. The levelised cost of energy develops from 78 €/MWh in 2015 to 61 €/MWh in 2050. In 2050, this system will have zero greenhouse gas emissions, it will provide plenty of job opportunities and revenue generation. This proposed transition will enhance the energy security level of the Jordanian energy system in five of the six dimensions studied. The five dimensions that will be improved are availability, cost, environment, health, and employment, whereas the dimension on diversity will stay neutral. It can be concluded that Jordan can achieve a 100% renewable energy system by 2050 and such a transition will enhance the energy security level.

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    Authors: Abdelrahman Azzuni; Arman Aghahosseini; Manish Ram; Dmitrii Bogdanov; +2 Authors

    Energy security analysis is a strong tool for policy makers. It allows them to formulate policies that would enhance energy systems by targeting necessary actions. In this study, the impacts of transitioning from a fossil fuels to a renewables dominated energy system on energy security is analysed for Jordan. A Best Policy Scenario was developed for the Jordanian energy system to trace the transition to a 100% renewable energy system. Energy security was analysed for the future system by a qualitative approach utilising colour codes. The results reveal that the primary energy demand increases from 64 TWh in 2015 to 130 TWh in 2050, dominated by electricity and followed by heat and bioenergy. This indicates that a high level of direct and indirect electrification is the key to transition towards a fully sustainable energy system. Renewable electricity generation is projected to increase from 0.1 TWh in 2015 to 110.7 TWh in 2050, with a solar photovoltaic share of 92%. The levelised cost of energy develops from 78 €/MWh in 2015 to 61 €/MWh in 2050. In 2050, this system will have zero greenhouse gas emissions, it will provide plenty of job opportunities and revenue generation. This proposed transition will enhance the energy security level of the Jordanian energy system in five of the six dimensions studied. The five dimensions that will be improved are availability, cost, environment, health, and employment, whereas the dimension on diversity will stay neutral. It can be concluded that Jordan can achieve a 100% renewable energy system by 2050 and such a transition will enhance the energy security level.

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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/
      Sustainability
      Article . 2020 . Peer-reviewed
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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/
      Sustainability
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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/
      Sustainability
      Article . 2020
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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/
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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/
    Authors: Upeksha Caldera; Christian Breyer;

    Abstract Saudi Arabia can transition to a 100% renewable energy system by 2040 including the integration of the power, desalination and non-energetic industrial gas sectors. Single-axis tracking PV and battery storage contribute the highest to the final LCOE of the system. By 2050, single-axis tracking PV accounts for 77% of the total electricity generation. Battery storage accounts for 44% of the total electricity demand. Desalination plants provide additional flexibility to the energy system. Through sensitivity analysis, it is found that decreasing the capex of desalination plants results in a decrease in battery storage output and ultimately the total system capex throughout the transition. However, the required SWRO capex decrease seems to be higher than possible, leading to a lower cost flexibility provided by solar PV and battery storage than possible by very low cost water storage. This is because the relatively more expensive SWRO desalination prefers baseload operation for total energy system cost reasons.

    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 . 2017 . Peer-reviewed
    License: CC BY NC ND
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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 Procedia
    Article
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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/
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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 . 2017 . Peer-reviewed
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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 Procedia
      Article
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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/
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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/
    Authors: Upeksha Caldera; Christian Breyer;

    Abstract Saudi Arabia can transition to a 100% renewable energy system by 2040 including the integration of the power, desalination and non-energetic industrial gas sectors. Single-axis tracking PV and battery storage contribute the highest to the final LCOE of the system. By 2050, single-axis tracking PV accounts for 77% of the total electricity generation. Battery storage accounts for 44% of the total electricity demand. Desalination plants provide additional flexibility to the energy system. Through sensitivity analysis, it is found that decreasing the capex of desalination plants results in a decrease in battery storage output and ultimately the total system capex throughout the transition. However, the required SWRO capex decrease seems to be higher than possible, leading to a lower cost flexibility provided by solar PV and battery storage than possible by very low cost water storage. This is because the relatively more expensive SWRO desalination prefers baseload operation for total energy system cost reasons.

    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 . 2017 . 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
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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/
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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 Procedia
      Article . 2017 . Peer-reviewed
      License: CC BY NC ND
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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 Procedia
      Article
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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/
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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/
    Authors: Andreas Mühlbauer; Dominik Keiner; Christian Breyer;

    While a rapid defossilisation of the energy system is the highest priority, additional post-fossil CDR for net-negative emissions will be necessary. Routes for mineralisation (in situ-, ex situ mineralisation, enhanced rock weathering) are examined.

    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 & Environment...arrow_drop_down
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    Energy & Environmental Science
    Article . 2024 . Peer-reviewed
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      Energy & Environmental Science
      Article . 2024 . Peer-reviewed
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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/
    Authors: Andreas Mühlbauer; Dominik Keiner; Christian Breyer;

    While a rapid defossilisation of the energy system is the highest priority, additional post-fossil CDR for net-negative emissions will be necessary. Routes for mineralisation (in situ-, ex situ mineralisation, enhanced rock weathering) are examined.

    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 & Environment...arrow_drop_down
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    Energy & Environmental Science
    Article . 2024 . Peer-reviewed
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      Energy & Environmental Science
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135 Research products
  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Caroline Moeller; Jan Meiss; Berit Mueller; Markus Hlusiak; +3 Authors

    We present possible steps for Germany's capital region for a pathway towards high-level renewable energy contributions. To this end, we give an overview of the current energy policy and status of electricity generation and demand of two federal states: the capital city Berlin and the surrounding state of Brandenburg. In a second step we present alternative, feasible scenarios with focus on the years 2020 and 2030. All scenarios were numerically evaluated in hourly time steps using a cost optimisation approach. The required installed capacities in an 80% renewables scenario in the year 2020 consist of 8.8 GW wind energy, 4.8 GW photovoltaics, 0.4 GWel bioenergy, 0.6 GWel methanation and a gas storage capacity of 180 GWhth. In order to meet a renewable electricity share of 100% in 2030, approximately 9.5 GW wind energy, 10.2 GW photovoltaics and 0.4 GWel bioenergy will be needed, complemented by a methanation capacity of about 1.5 GWel and gas storage of about 530 GWhth. In 2030, an additional 11 GWhel of battery storage capacity will be required. Approximately 3 GW of thermal gas power plants will be necessary to cover the residual load in both scenarios. Furthermore, we studied the transmission capacities of extra-high voltage transmission lines in a second simulation and found them to be sufficient for the energy distribution within the investigated region.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2014 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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    citations36
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2014 . Peer-reviewed
      License: Elsevier TDM
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Caroline Moeller; Jan Meiss; Berit Mueller; Markus Hlusiak; +3 Authors

    We present possible steps for Germany's capital region for a pathway towards high-level renewable energy contributions. To this end, we give an overview of the current energy policy and status of electricity generation and demand of two federal states: the capital city Berlin and the surrounding state of Brandenburg. In a second step we present alternative, feasible scenarios with focus on the years 2020 and 2030. All scenarios were numerically evaluated in hourly time steps using a cost optimisation approach. The required installed capacities in an 80% renewables scenario in the year 2020 consist of 8.8 GW wind energy, 4.8 GW photovoltaics, 0.4 GWel bioenergy, 0.6 GWel methanation and a gas storage capacity of 180 GWhth. In order to meet a renewable electricity share of 100% in 2030, approximately 9.5 GW wind energy, 10.2 GW photovoltaics and 0.4 GWel bioenergy will be needed, complemented by a methanation capacity of about 1.5 GWel and gas storage of about 530 GWhth. In 2030, an additional 11 GWhel of battery storage capacity will be required. Approximately 3 GW of thermal gas power plants will be necessary to cover the residual load in both scenarios. Furthermore, we studied the transmission capacities of extra-high voltage transmission lines in a second simulation and found them to be sufficient for the energy distribution within the investigated region.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Renewable Energy
    Article . 2014 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable Energyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Renewable Energy
      Article . 2014 . Peer-reviewed
      License: Elsevier TDM
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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/
    Authors: Narges Ghorbani; Arman Aghahosseini; Christian Breyer;

    Abstract Transition of Iran's power system from 2015 to 2050 through three scenarios was modelled. Two scenarios present a transition pathway towards a fully renewable run power system with different involved sectors (power only, power sector coupled with desalination and non-energetic gas sectors). The third scenario is based on the country's current policies. The energy model performs an hourly resolution to guarantee meeting energy demand for every hour of the whole year. It is found that renewable energy resources in Iran can satisfy 625 TWh of power sector demand in 2050. Further, it is technically and economically feasible that electricity demand for supplying 101 million m3 desalinated water and 249 TWhLHV synthetic natural gas for non-energetic industrial gas demand can be supplied via renewable resources. A 100% renewable power system with 54 €/MWhel levelised cost of electricity (LCOE) is more cost-effective than the current power system in Iran with 88.3 €/MWhel LCOE in 2015. LCOE of the system can decrease further and reach to 41.3 €/MWhel in 2050 via sector coupling. On the other hand, the current policies of the country lead to an inefficient power system with a LCOE of 128 €/MWhel and 188 Mt/a emitted CO2 in 2050.

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    Renewable Energy
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    Renewable Energy
    Article . 2020 . Peer-reviewed
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    Authors: Narges Ghorbani; Arman Aghahosseini; Christian Breyer;

    Abstract Transition of Iran's power system from 2015 to 2050 through three scenarios was modelled. Two scenarios present a transition pathway towards a fully renewable run power system with different involved sectors (power only, power sector coupled with desalination and non-energetic gas sectors). The third scenario is based on the country's current policies. The energy model performs an hourly resolution to guarantee meeting energy demand for every hour of the whole year. It is found that renewable energy resources in Iran can satisfy 625 TWh of power sector demand in 2050. Further, it is technically and economically feasible that electricity demand for supplying 101 million m3 desalinated water and 249 TWhLHV synthetic natural gas for non-energetic industrial gas demand can be supplied via renewable resources. A 100% renewable power system with 54 €/MWhel levelised cost of electricity (LCOE) is more cost-effective than the current power system in Iran with 88.3 €/MWhel LCOE in 2015. LCOE of the system can decrease further and reach to 41.3 €/MWhel in 2050 via sector coupling. On the other hand, the current policies of the country lead to an inefficient power system with a LCOE of 128 €/MWhel and 188 Mt/a emitted CO2 in 2050.

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    Authors: Christian Breyer; Otto Koskinen;

    AbstractThere are a fast growing number of global energy scenarios based on high shares of renewable energy (RE). However, many of them lack comprehensive analyses of energy storage systems. A review of global scenarios reveals that energy storage systems are assessed mainly qualitatively; quantitative assessments of global energy storage demand are scarce. The possible future roles of energy storage systems are plentiful: they can be used in short-term control (e.g. in power grid frequency control), as a medium-term balance mechanism (to shift daily production to meet demand), as long-term storage (seasonal shift), or to substitute grid extensions. Typically, only power storage is considered, if energy storage is assessed at all. Scenario-makers do not always assess the dynamics and synergies of energy storage systems in the power, heat and mobility sectors.To date, publications of the dynamics between continent-wide renewable energy production, transmission grids and energy storage capacities are not numerous. The existing body of research indicates that transmission lines connecting individual countries are regarded as a key component in enabling RE-based, low-cost energy systems. However, various issues could restrain the implementation of proposed grid connections. These barriers could be overcome by partially substituting energy grid reinforcements with energy storage solutions. Furthermore, less storage related curtailment of renewable energy could lead to improved energy system efficiency and cost. Therefore, energy scenarios that capture quantitatively different configurations of international energy exchange and its influence on regional storage systems are needed. High spatial and temporal resolution energy system models are needed to assess scenarios for high share of renewable energy supply and demand for energy storage.

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    Energy Procedia
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    Energy Procedia
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    http://dx.doi.org/10.1016/j.eg...
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      http://dx.doi.org/10.1016/j.eg...
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    Authors: Christian Breyer; Otto Koskinen;

    AbstractThere are a fast growing number of global energy scenarios based on high shares of renewable energy (RE). However, many of them lack comprehensive analyses of energy storage systems. A review of global scenarios reveals that energy storage systems are assessed mainly qualitatively; quantitative assessments of global energy storage demand are scarce. The possible future roles of energy storage systems are plentiful: they can be used in short-term control (e.g. in power grid frequency control), as a medium-term balance mechanism (to shift daily production to meet demand), as long-term storage (seasonal shift), or to substitute grid extensions. Typically, only power storage is considered, if energy storage is assessed at all. Scenario-makers do not always assess the dynamics and synergies of energy storage systems in the power, heat and mobility sectors.To date, publications of the dynamics between continent-wide renewable energy production, transmission grids and energy storage capacities are not numerous. The existing body of research indicates that transmission lines connecting individual countries are regarded as a key component in enabling RE-based, low-cost energy systems. However, various issues could restrain the implementation of proposed grid connections. These barriers could be overcome by partially substituting energy grid reinforcements with energy storage solutions. Furthermore, less storage related curtailment of renewable energy could lead to improved energy system efficiency and cost. Therefore, energy scenarios that capture quantitatively different configurations of international energy exchange and its influence on regional storage systems are needed. High spatial and temporal resolution energy system models are needed to assess scenarios for high share of renewable energy supply and demand for energy storage.

    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
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    Energy Procedia
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      http://dx.doi.org/10.1016/j.eg...
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    Authors: Hans-Josef Fell; Christian Breyer; Dmitrii Bogdanov; Michael Child;

    Abstract A transition towards a 100% renewable energy (RE) power sector by 2050 is investigated for Europe. Simulations using an hourly resolved model define the roles of storage technologies in a least cost system configuration. The investigated technologies are batteries, pumped hydro storage, adiabatic compressed air energy storage, thermal energy storage, and power-to-gas technology. Modelling proceeds from 2015 to 2050 in five-year time steps, and considers current power plant capacities, their corresponding lifetimes, and current and projected electricity demand to determine an optimal mix of plants needed to achieve a 100% RE power system by 2050. This optimization is carried out with regards to the assumed costs and technological status of all technologies involved. The total power capacity required by 2050, shares of resources, and storage technologies are defined. Results indicate that the levelised cost of electricity falls from a current level of 69 €/MWhe to 51 €/MWhe in 2050 through the adoption of low cost RE power generation, improvements in efficiency, and expanded power interconnections. Additionally, flexibility of and stability in the power system are provided by increasing shares of energy storage solutions over time, in parallel with expected price decreases in these technologies. Total storage requirements include up to 3320 GWhe of batteries, 396 GWhe of pumped hydro storage, and 218,042 GWhgas of gas storage (8% for synthetic natural gas and 92% for biomethane) for the time period depending on the scenario. The cost share of levelised cost of storage in the total levelised cost of electricity increases from less than 2 €/MWh (2% of total) to 16 €/MWh (28% of total) over the same time. Outputs of power-to-gas begin in 2020 when renewable energy generation reaches 50% in the power system, increasing to a total of 44 TWhgas in 2050. A 100% RE system can be a more economical and efficient solution for Europe, one that is also compatible with climate change mitigation targets set out in the Paris Agreement.

    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
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    Energy Procedia
    Article . 2017 . Peer-reviewed
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    Energy Procedia
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      Energy Procedia
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    Authors: Hans-Josef Fell; Christian Breyer; Dmitrii Bogdanov; Michael Child;

    Abstract A transition towards a 100% renewable energy (RE) power sector by 2050 is investigated for Europe. Simulations using an hourly resolved model define the roles of storage technologies in a least cost system configuration. The investigated technologies are batteries, pumped hydro storage, adiabatic compressed air energy storage, thermal energy storage, and power-to-gas technology. Modelling proceeds from 2015 to 2050 in five-year time steps, and considers current power plant capacities, their corresponding lifetimes, and current and projected electricity demand to determine an optimal mix of plants needed to achieve a 100% RE power system by 2050. This optimization is carried out with regards to the assumed costs and technological status of all technologies involved. The total power capacity required by 2050, shares of resources, and storage technologies are defined. Results indicate that the levelised cost of electricity falls from a current level of 69 €/MWhe to 51 €/MWhe in 2050 through the adoption of low cost RE power generation, improvements in efficiency, and expanded power interconnections. Additionally, flexibility of and stability in the power system are provided by increasing shares of energy storage solutions over time, in parallel with expected price decreases in these technologies. Total storage requirements include up to 3320 GWhe of batteries, 396 GWhe of pumped hydro storage, and 218,042 GWhgas of gas storage (8% for synthetic natural gas and 92% for biomethane) for the time period depending on the scenario. The cost share of levelised cost of storage in the total levelised cost of electricity increases from less than 2 €/MWh (2% of total) to 16 €/MWh (28% of total) over the same time. Outputs of power-to-gas begin in 2020 when renewable energy generation reaches 50% in the power system, increasing to a total of 44 TWhgas in 2050. A 100% RE system can be a more economical and efficient solution for Europe, one that is also compatible with climate change mitigation targets set out in the Paris Agreement.

    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
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    Energy Procedia
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    Energy Procedia
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      Energy Procedia
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      Energy Procedia
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Christian Breyer; Dmitrii Bogdanov; Ashish Gulagi;

    Abstract In this work, a 100% renewable energy (RE) transition pathway based on an hourly resolved model till 2050 is simulated for India, covering demand by the power, desalination and non-energetic industrial gas sectors. Energy storage technologies: batteries, pumped hydro storage (PHS), adiabatic compressed air energy storage, thermal energy storage and power-to-gas technology are used in the modelling to provide flexibility to the system and balance demand. The optimisation for each time period (transition is modeled in 5 year steps) is carried out on an assumed costs and technological status of all energy technologies involved. Results indicate that a 100% renewable based energy system is achievable in 2050 with the levelised cost of electricity falling from a current level of 58 €/MWhe to 52 €/MWhe in 2050 in the power scenario. With large scale intermittent renewable energy sources in the system, the demand for storage technologies increases from the current level to 2050. Batteries provide 2596 TWh, PHS provides 12 TWh and gas storage provides 197 TWh of electricity to the total electricity demand. Most of the storage demand will be based on batteries, which provide as much as 42% of the total electricity demand. The synchronised discharging of batteries in the night time and charging of power-to-gas in the early summer and summer months reduces curtailment on the following day, and thus is a part of a least cost solution. The combination of solar photovoltaics (PV) and battery storage evolves as the low-cost backbone of Indian energy supply, resulting in 3.2–4.3 TWp of installed PV capacities, depending on the applied scenario in 2050. During the monsoon period, complementarity of storage technologies and the transmission grid help to achieve uninterrupted power supply. The above results clearly prove that renewable energy options are the most competitive and a least-cost solution for achieving a net zero emission energy system. This is the first study of its kind in full hourly resolution for India.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Energy St...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Journal of Energy Storage
    Article . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Energy Storage
      Article . 2018 . Peer-reviewed
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Christian Breyer; Dmitrii Bogdanov; Ashish Gulagi;

    Abstract In this work, a 100% renewable energy (RE) transition pathway based on an hourly resolved model till 2050 is simulated for India, covering demand by the power, desalination and non-energetic industrial gas sectors. Energy storage technologies: batteries, pumped hydro storage (PHS), adiabatic compressed air energy storage, thermal energy storage and power-to-gas technology are used in the modelling to provide flexibility to the system and balance demand. The optimisation for each time period (transition is modeled in 5 year steps) is carried out on an assumed costs and technological status of all energy technologies involved. Results indicate that a 100% renewable based energy system is achievable in 2050 with the levelised cost of electricity falling from a current level of 58 €/MWhe to 52 €/MWhe in 2050 in the power scenario. With large scale intermittent renewable energy sources in the system, the demand for storage technologies increases from the current level to 2050. Batteries provide 2596 TWh, PHS provides 12 TWh and gas storage provides 197 TWh of electricity to the total electricity demand. Most of the storage demand will be based on batteries, which provide as much as 42% of the total electricity demand. The synchronised discharging of batteries in the night time and charging of power-to-gas in the early summer and summer months reduces curtailment on the following day, and thus is a part of a least cost solution. The combination of solar photovoltaics (PV) and battery storage evolves as the low-cost backbone of Indian energy supply, resulting in 3.2–4.3 TWp of installed PV capacities, depending on the applied scenario in 2050. During the monsoon period, complementarity of storage technologies and the transmission grid help to achieve uninterrupted power supply. The above results clearly prove that renewable energy options are the most competitive and a least-cost solution for achieving a net zero emission energy system. This is the first study of its kind in full hourly resolution for India.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Energy St...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Journal of Energy Storage
    Article . 2018 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Energy Storage
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    Authors: Christian Breyer; Gabriel Lopez; Arman Aghahosseini; Dmitrii Bogdanov; +2 Authors
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    IEEE Journal of Photovoltaics
    Article . 2025 . Peer-reviewed
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      IEEE Journal of Photovoltaics
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    Authors: Christian Breyer; Gabriel Lopez; Arman Aghahosseini; Dmitrii Bogdanov; +2 Authors
    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/ IEEE Journal of Phot...arrow_drop_down
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    IEEE Journal of Photovoltaics
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      IEEE Journal of Photovoltaics
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    Authors: Dmitrii Bogdanov; Ayobami Solomon Oyewo; Theophilus Nii Odai Mensah; Yuko Nishida; +8 Authors

    AbstractThis study presents a novel approach to analysing the Japanese energy system transition from a mostly fossil fuels‐based system as of today, to a sustainable renewable energy‐based system by 2050. This research uses a novel technology‐rich, multi‐regional, multi‐sectoral, and cost‐optimal energy system model for the analysis, describing pathways to achieving the Japanese climate neutrality vision by 2050 based on renewables in the most cost‐effective manner. The energy transition of Japan is analysed for both rapid and delayed defossilisation pathways, impact of demand sensitivity, and benefit of sustainable energy imports in the form of electricity from Russia and China or e‐fuels from countries like Australia. The results show that a self‐sufficient energy system is achievable; however, some sustainable energy imports in the form of electricity and e‐fuels can be beneficial in further reducing overall investments, relieve pressure to develop local renewable resources and improving energy system flexibility. In addition, this research highlights the critical advantage of a fully renewable pathway, sector coupling, and high electrification rates as the most cost‐efficient way of achieving the Japanese climate neutrality vision by 2050. The renewable pathway also delivers an energy system with high levels of efficiency gains through direct and indirect renewable electricity usage.

    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/ IET Renewable Power ...arrow_drop_down
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    IET Renewable Power Generation
    Article . 2023 . Peer-reviewed
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    IET Renewable Power Generation
    Article . 2023
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      IET Renewable Power Generation
      Article . 2023 . Peer-reviewed
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    Authors: Dmitrii Bogdanov; Ayobami Solomon Oyewo; Theophilus Nii Odai Mensah; Yuko Nishida; +8 Authors

    AbstractThis study presents a novel approach to analysing the Japanese energy system transition from a mostly fossil fuels‐based system as of today, to a sustainable renewable energy‐based system by 2050. This research uses a novel technology‐rich, multi‐regional, multi‐sectoral, and cost‐optimal energy system model for the analysis, describing pathways to achieving the Japanese climate neutrality vision by 2050 based on renewables in the most cost‐effective manner. The energy transition of Japan is analysed for both rapid and delayed defossilisation pathways, impact of demand sensitivity, and benefit of sustainable energy imports in the form of electricity from Russia and China or e‐fuels from countries like Australia. The results show that a self‐sufficient energy system is achievable; however, some sustainable energy imports in the form of electricity and e‐fuels can be beneficial in further reducing overall investments, relieve pressure to develop local renewable resources and improving energy system flexibility. In addition, this research highlights the critical advantage of a fully renewable pathway, sector coupling, and high electrification rates as the most cost‐efficient way of achieving the Japanese climate neutrality vision by 2050. The renewable pathway also delivers an energy system with high levels of efficiency gains through direct and indirect renewable electricity usage.

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    IET Renewable Power Generation
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      Article . 2023
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    Authors: Abdelrahman Azzuni; Arman Aghahosseini; Manish Ram; Dmitrii Bogdanov; +2 Authors

    Energy security analysis is a strong tool for policy makers. It allows them to formulate policies that would enhance energy systems by targeting necessary actions. In this study, the impacts of transitioning from a fossil fuels to a renewables dominated energy system on energy security is analysed for Jordan. A Best Policy Scenario was developed for the Jordanian energy system to trace the transition to a 100% renewable energy system. Energy security was analysed for the future system by a qualitative approach utilising colour codes. The results reveal that the primary energy demand increases from 64 TWh in 2015 to 130 TWh in 2050, dominated by electricity and followed by heat and bioenergy. This indicates that a high level of direct and indirect electrification is the key to transition towards a fully sustainable energy system. Renewable electricity generation is projected to increase from 0.1 TWh in 2015 to 110.7 TWh in 2050, with a solar photovoltaic share of 92%. The levelised cost of energy develops from 78 €/MWh in 2015 to 61 €/MWh in 2050. In 2050, this system will have zero greenhouse gas emissions, it will provide plenty of job opportunities and revenue generation. This proposed transition will enhance the energy security level of the Jordanian energy system in five of the six dimensions studied. The five dimensions that will be improved are availability, cost, environment, health, and employment, whereas the dimension on diversity will stay neutral. It can be concluded that Jordan can achieve a 100% renewable energy system by 2050 and such a transition will enhance the energy security level.

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    Authors: Abdelrahman Azzuni; Arman Aghahosseini; Manish Ram; Dmitrii Bogdanov; +2 Authors

    Energy security analysis is a strong tool for policy makers. It allows them to formulate policies that would enhance energy systems by targeting necessary actions. In this study, the impacts of transitioning from a fossil fuels to a renewables dominated energy system on energy security is analysed for Jordan. A Best Policy Scenario was developed for the Jordanian energy system to trace the transition to a 100% renewable energy system. Energy security was analysed for the future system by a qualitative approach utilising colour codes. The results reveal that the primary energy demand increases from 64 TWh in 2015 to 130 TWh in 2050, dominated by electricity and followed by heat and bioenergy. This indicates that a high level of direct and indirect electrification is the key to transition towards a fully sustainable energy system. Renewable electricity generation is projected to increase from 0.1 TWh in 2015 to 110.7 TWh in 2050, with a solar photovoltaic share of 92%. The levelised cost of energy develops from 78 €/MWh in 2015 to 61 €/MWh in 2050. In 2050, this system will have zero greenhouse gas emissions, it will provide plenty of job opportunities and revenue generation. This proposed transition will enhance the energy security level of the Jordanian energy system in five of the six dimensions studied. The five dimensions that will be improved are availability, cost, environment, health, and employment, whereas the dimension on diversity will stay neutral. It can be concluded that Jordan can achieve a 100% renewable energy system by 2050 and such a transition will enhance the energy security level.

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    Sustainability
    Article . 2020 . Peer-reviewed
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    Authors: Upeksha Caldera; Christian Breyer;

    Abstract Saudi Arabia can transition to a 100% renewable energy system by 2040 including the integration of the power, desalination and non-energetic industrial gas sectors. Single-axis tracking PV and battery storage contribute the highest to the final LCOE of the system. By 2050, single-axis tracking PV accounts for 77% of the total electricity generation. Battery storage accounts for 44% of the total electricity demand. Desalination plants provide additional flexibility to the energy system. Through sensitivity analysis, it is found that decreasing the capex of desalination plants results in a decrease in battery storage output and ultimately the total system capex throughout the transition. However, the required SWRO capex decrease seems to be higher than possible, leading to a lower cost flexibility provided by solar PV and battery storage than possible by very low cost water storage. This is because the relatively more expensive SWRO desalination prefers baseload operation for total energy system cost reasons.

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    Energy Procedia
    Article . 2017 . Peer-reviewed
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    Authors: Upeksha Caldera; Christian Breyer;

    Abstract Saudi Arabia can transition to a 100% renewable energy system by 2040 including the integration of the power, desalination and non-energetic industrial gas sectors. Single-axis tracking PV and battery storage contribute the highest to the final LCOE of the system. By 2050, single-axis tracking PV accounts for 77% of the total electricity generation. Battery storage accounts for 44% of the total electricity demand. Desalination plants provide additional flexibility to the energy system. Through sensitivity analysis, it is found that decreasing the capex of desalination plants results in a decrease in battery storage output and ultimately the total system capex throughout the transition. However, the required SWRO capex decrease seems to be higher than possible, leading to a lower cost flexibility provided by solar PV and battery storage than possible by very low cost water storage. This is because the relatively more expensive SWRO desalination prefers baseload operation for total energy system cost reasons.

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    Energy Procedia
    Article . 2017 . Peer-reviewed
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    Energy Procedia
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      Energy Procedia
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    Authors: Andreas Mühlbauer; Dominik Keiner; Christian Breyer;

    While a rapid defossilisation of the energy system is the highest priority, additional post-fossil CDR for net-negative emissions will be necessary. Routes for mineralisation (in situ-, ex situ mineralisation, enhanced rock weathering) are examined.

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    Energy & Environmental Science
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      Energy & Environmental Science
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    Authors: Andreas Mühlbauer; Dominik Keiner; Christian Breyer;

    While a rapid defossilisation of the energy system is the highest priority, additional post-fossil CDR for net-negative emissions will be necessary. Routes for mineralisation (in situ-, ex situ mineralisation, enhanced rock weathering) are examined.

    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 & Environment...arrow_drop_down
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    Energy & Environmental Science
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