Martin Robinius; Alexander Otto; Konstantinos Syranidis;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE
David S. Ryberg; +6 AuthorsDavid S. Ryberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid S. Ryberg in OpenAIRE Martin Robinius; Alexander Otto; Konstantinos Syranidis;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE David S. Ryberg; Philipp Heuser;David S. Ryberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid S. Ryberg in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Thomas Grube; Peter Markewitz; Vanessa Tietze; Detlef Stolten;Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIRE“Linking the power and transport sectors—Part 1” describes the general principle of “sector coupling” (SC), develops a working definition intended of the concept to be of utility to the international scientific community, contains a literature review that provides an overview of relevant scientific papers on this topic and conducts a rudimentary analysis of the linking of the power and transport sectors on a worldwide, EU and German level. The aim of this follow-on paper is to outline an approach to the modelling of SC. Therefore, a study of Germany as a case study was conducted. This study assumes a high share of renewable energy sources (RES) contributing to the grid and significant proportion of fuel cell vehicles (FCVs) in the year 2050, along with a dedicated hydrogen pipeline grid to meet hydrogen demand. To construct a model of this nature, the model environment “METIS” (models for energy transformation and integration systems) we developed will be described in more detail in this paper. Within this framework, a detailed model of the power and transport sector in Germany will be presented in this paper and the rationale behind its assumptions described. Furthermore, an intensive result analysis for the power surplus, utilization of electrolysis, hydrogen pipeline and economic considerations has been conducted to show the potential outcomes of modelling SC. It is hoped that this will serve as a basis for researchers to apply this framework in future to models and analysis with an international focus.
115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% 
Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en10070957&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Martin Robinius; Alexander Otto; Konstantinos Syranidis;
Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE David S. Ryberg; +6 AuthorsDavid S. Ryberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid S. Ryberg in OpenAIRE Martin Robinius; Alexander Otto; Konstantinos Syranidis;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE David S. Ryberg; Philipp Heuser;David S. Ryberg
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDavid S. Ryberg in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Thomas Grube; Peter Markewitz; Vanessa Tietze; Detlef Stolten;Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIRE“Linking the power and transport sectors—Part 1” describes the general principle of “sector coupling” (SC), develops a working definition intended of the concept to be of utility to the international scientific community, contains a literature review that provides an overview of relevant scientific papers on this topic and conducts a rudimentary analysis of the linking of the power and transport sectors on a worldwide, EU and German level. The aim of this follow-on paper is to outline an approach to the modelling of SC. Therefore, a study of Germany as a case study was conducted. This study assumes a high share of renewable energy sources (RES) contributing to the grid and significant proportion of fuel cell vehicles (FCVs) in the year 2050, along with a dedicated hydrogen pipeline grid to meet hydrogen demand. To construct a model of this nature, the model environment “METIS” (models for energy transformation and integration systems) we developed will be described in more detail in this paper. Within this framework, a detailed model of the power and transport sector in Germany will be presented in this paper and the rationale behind its assumptions described. Furthermore, an intensive result analysis for the power surplus, utilization of electrolysis, hydrogen pipeline and economic considerations has been conducted to show the potential outcomes of modelling SC. It is hoped that this will serve as a basis for researchers to apply this framework in future to models and analysis with an international focus.
115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en10070957&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - FCT| H21 ,UKRI| Understanding biomass value chains and the environment-food-energy-water nexus in Malaysia through whole-systems analysis and optimisation (BEFEW) Quarton, Christopher J.; Tlili, Olfa;
Quarton, Christopher J.
Harvested from ORCID Public Data FileQuarton, Christopher J. in OpenAIRE Welder, Lara; Mansilla, Christine; +7 AuthorsWelder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Quarton, Christopher J.; Tlili, Olfa;Quarton, Christopher J.
Harvested from ORCID Public Data FileQuarton, Christopher J. in OpenAIRE Welder, Lara; Mansilla, Christine;Welder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Blanco, Herib; Blanco, Herib
Harvested from ORCID Public Data FileBlanco, Herib in OpenAIRE Heinrichs, Heidi; Leaver, Jonathan; Samsatli, Nouri J.; Lucchese, Paul;Heinrichs, Heidi
Harvested from ORCID Public Data FileHeinrichs, Heidi in OpenAIRE Robinius, Martin; Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Samsatli, Sheila; Samsatli, Sheila
Harvested from ORCID Public Data FileSamsatli, Sheila in OpenAIREIt is puzzling that hydrogen is not prominent in global energy scenarios: this perspective investigates why and what can be done.
Access RoutesGreen hybrid 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/c9se00833k&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - FCT| H21 ,UKRI| Understanding biomass value chains and the environment-food-energy-water nexus in Malaysia through whole-systems analysis and optimisation (BEFEW) Quarton, Christopher J.; Tlili, Olfa;
Quarton, Christopher J.
Harvested from ORCID Public Data FileQuarton, Christopher J. in OpenAIRE Welder, Lara; Mansilla, Christine; +7 AuthorsWelder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Quarton, Christopher J.; Tlili, Olfa;Quarton, Christopher J.
Harvested from ORCID Public Data FileQuarton, Christopher J. in OpenAIRE Welder, Lara; Mansilla, Christine;Welder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Blanco, Herib; Blanco, Herib
Harvested from ORCID Public Data FileBlanco, Herib in OpenAIRE Heinrichs, Heidi; Leaver, Jonathan; Samsatli, Nouri J.; Lucchese, Paul;Heinrichs, Heidi
Harvested from ORCID Public Data FileHeinrichs, Heidi in OpenAIRE Robinius, Martin; Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Samsatli, Sheila; Samsatli, Sheila
Harvested from ORCID Public Data FileSamsatli, Sheila in OpenAIREIt is puzzling that hydrogen is not prominent in global energy scenarios: this perspective investigates why and what can be done.
Access RoutesGreen hybrid 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/c9se00833k&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Markus Reuß;
Markus Reuß
Harvested from ORCID Public Data FileMarkus Reuß in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Peter Stenzel; Felix Knicker; +6 AuthorsPeter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Markus Reuß; Markus Reuß
Harvested from ORCID Public Data FileMarkus Reuß in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Peter Stenzel; Felix Knicker;Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Detlef Stolten; Detlef Stolten;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Bernd Emonts; Bernd Emonts
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBernd Emonts in OpenAIRE Martin Robinius; Klaus Görner;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Thomas Grube; Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIREAbstract The substantial expansion of renewable energy sources is creating the foundation to successfully transform the German energy sector (the so-called ‘Energiewende’). A by-product of this development is the corresponding capacity demand for the transportation, distribution and storage of energy. Hydrogen produced by electrolysis offers a promising solution to these challenges, although the willingness to invest in hydrogen technologies requires the identification of competitive and climate-friendly pathways in the long run. Therefore, this paper employs a pathway analysis to investigate the use of renewable hydrogen in the German passenger car transportation sector in terms of varying market penetration scenarios for fuel cell-electric vehicles (FCEVs). The investigation focuses on how an H2 infrastructure can be designed on a national scale with various supply chain networks to establish robust pathways and important technologies, which has not yet been done. Therefore, the study includes all related aspects, from hydrogen production to fueling stations, for a given FCEV market penetration scenario, as well as the CO2 reduction potential that can be achieved for the transport sector. A total of four scenarios are considered, estimating an FCEV market share of 1–75% by the year 2050. This corresponds to an annual production of 0.02–2.88 million tons of hydrogen. The findings show that the most cost-efficient H2 supply (well-to-tank: 6.7–7.5 €/kgH2) can be achieved in high demand scenarios (FCEV market shares of 30% and 75%) through a combination of cavern storage and pipeline transport. For low-demand scenarios, however, technology pathways involving LH2 and LOHC truck transport represent the most cost-efficient options (well-to-tank: 8.2–11.4 €/kgH2).
70 citations 70 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2019.03.183&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Markus Reuß;
Markus Reuß
Harvested from ORCID Public Data FileMarkus Reuß in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Peter Stenzel; Felix Knicker; +6 AuthorsPeter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Markus Reuß; Markus Reuß
Harvested from ORCID Public Data FileMarkus Reuß in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Peter Stenzel; Felix Knicker;Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Detlef Stolten; Detlef Stolten;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Bernd Emonts; Bernd Emonts
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBernd Emonts in OpenAIRE Martin Robinius; Klaus Görner;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Thomas Grube; Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIREAbstract The substantial expansion of renewable energy sources is creating the foundation to successfully transform the German energy sector (the so-called ‘Energiewende’). A by-product of this development is the corresponding capacity demand for the transportation, distribution and storage of energy. Hydrogen produced by electrolysis offers a promising solution to these challenges, although the willingness to invest in hydrogen technologies requires the identification of competitive and climate-friendly pathways in the long run. Therefore, this paper employs a pathway analysis to investigate the use of renewable hydrogen in the German passenger car transportation sector in terms of varying market penetration scenarios for fuel cell-electric vehicles (FCEVs). The investigation focuses on how an H2 infrastructure can be designed on a national scale with various supply chain networks to establish robust pathways and important technologies, which has not yet been done. Therefore, the study includes all related aspects, from hydrogen production to fueling stations, for a given FCEV market penetration scenario, as well as the CO2 reduction potential that can be achieved for the transport sector. A total of four scenarios are considered, estimating an FCEV market share of 1–75% by the year 2050. This corresponds to an annual production of 0.02–2.88 million tons of hydrogen. The findings show that the most cost-efficient H2 supply (well-to-tank: 6.7–7.5 €/kgH2) can be achieved in high demand scenarios (FCEV market shares of 30% and 75%) through a combination of cavern storage and pipeline transport. For low-demand scenarios, however, technology pathways involving LH2 and LOHC truck transport represent the most cost-efficient options (well-to-tank: 8.2–11.4 €/kgH2).
70 citations 70 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2019.03.183&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| INTERACTIONTino Aboumahboub; Robert J. Brecha; Himalaya Bir Shrestha; Ursula Fuentes; +5 Authors
Robert J. Brecha
Harvested from ORCID Public Data FileRobert J. Brecha in OpenAIRETino Aboumahboub; Robert J. Brecha; Himalaya Bir Shrestha; Ursula Fuentes;Robert J. Brecha
Harvested from ORCID Public Data FileRobert J. Brecha in OpenAIRE Andreas Geiges; Andreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRE William Hare; Michiel Schaeffer;William Hare
Harvested from ORCID Public Data FileWilliam Hare in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Matthew J. Gidden; Matthew J. Gidden
Harvested from ORCID Public Data FileMatthew J. Gidden in OpenAIRETo achieve the Paris Agreement’s long-term temperature goal, current energy systems must be transformed. Australia represents an interesting case for energy system transformation modeling: with a power system dominated by fossil fuels and, specifically, with a heavy coal component, there is at the same time a vast potential for expansion and use of renewables. We used the multi-sectoral Australian Energy Modeling System (AUSeMOSYS) to perform an integrated analysis of implications for the electricity, transport, and selected industry sectors to the mid-century. The state-level resolution allows representation of regional discrepancies in renewable supply and the quantification of inter-regional grid extensions necessary for the physical integration of variable renewables. We investigated the impacts of different CO2 budgets and selected key factors on energy system transformation. Results indicate that coal-fired generation has to be phased out completely by 2030 and a fully renewable electricity supply achieved in the 2030s according to the cost-optimal pathway implied by the 1.5 °C Paris Agreement-compatible carbon budget. Wind and solar PV can play a dominant role in decarbonizing Australia’s energy system with continuous growth of demand due to the strong electrification of linked energy sectors.
Access Routesgold 33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13153805&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| INTERACTIONTino Aboumahboub; Robert J. Brecha; Himalaya Bir Shrestha; Ursula Fuentes; +5 Authors
Robert J. Brecha
Harvested from ORCID Public Data FileRobert J. Brecha in OpenAIRETino Aboumahboub; Robert J. Brecha; Himalaya Bir Shrestha; Ursula Fuentes;Robert J. Brecha
Harvested from ORCID Public Data FileRobert J. Brecha in OpenAIRE Andreas Geiges; Andreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRE William Hare; Michiel Schaeffer;William Hare
Harvested from ORCID Public Data FileWilliam Hare in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Matthew J. Gidden; Matthew J. Gidden
Harvested from ORCID Public Data FileMatthew J. Gidden in OpenAIRETo achieve the Paris Agreement’s long-term temperature goal, current energy systems must be transformed. Australia represents an interesting case for energy system transformation modeling: with a power system dominated by fossil fuels and, specifically, with a heavy coal component, there is at the same time a vast potential for expansion and use of renewables. We used the multi-sectoral Australian Energy Modeling System (AUSeMOSYS) to perform an integrated analysis of implications for the electricity, transport, and selected industry sectors to the mid-century. The state-level resolution allows representation of regional discrepancies in renewable supply and the quantification of inter-regional grid extensions necessary for the physical integration of variable renewables. We investigated the impacts of different CO2 budgets and selected key factors on energy system transformation. Results indicate that coal-fired generation has to be phased out completely by 2030 and a fully renewable electricity supply achieved in the 2030s according to the cost-optimal pathway implied by the 1.5 °C Paris Agreement-compatible carbon budget. Wind and solar PV can play a dominant role in decarbonizing Australia’s energy system with continuous growth of demand due to the strong electrification of linked energy sectors.
Access Routesgold 33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13153805&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| Open ENTRANCE ,EC| ENGAGE ,EC| NAVIGATE Maarten Brinkerink; Thorsten Burandt;
Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE L Welder; EF Álvarez Quispe; +15 Authors Maarten Brinkerink; Thorsten Burandt;Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE L Welder; EF Álvarez Quispe; Edward Byers; F Maczek; Jonas Hörsch; Jonas Hörsch
Harvested from ORCID Public Data FileJonas Hörsch in OpenAIRE Jarmo Kikstra; Jarmo Kikstra;Jarmo Kikstra
Harvested from ORCID Public Data FileJarmo Kikstra in OpenAIRE Zebedee Nicholls; Zebedee Nicholls
Harvested from ORCID Public Data FileZebedee Nicholls in OpenAIRE Sebastian Zwickl-Bernhard; Sebastian Zwickl-Bernhard
Harvested from ORCID Public Data FileSebastian Zwickl-Bernhard in OpenAIRE Daniel Huppmann; Daniel Huppmann
Harvested from ORCID Public Data FileDaniel Huppmann in OpenAIRE Oliver Fricko; Matthew Gidden; Robin Lamboll;Oliver Fricko
Harvested from ORCID Public Data FileOliver Fricko in OpenAIRE Christopher J. Smith; Christopher J. Smith;Christopher J. Smith
Harvested from ORCID Public Data FileChristopher J. Smith in OpenAIRE Paul Kishimoto; Paul Kishimoto
Harvested from ORCID Public Data FilePaul Kishimoto in OpenAIRE M Budzinski; M Budzinski
Harvested from ORCID Public Data FileM Budzinski in OpenAIREThe open-source Python package pyam provides a suite of features and methods for the analysis, validation and visualization of reference data and scenario results generated by integrated assessment models, macro-energy tools and other frameworks in the domain of energy transition, climate change mitigation and sustainable development. It bridges the gap between scenario processing and visualisation solutions that are "hard-wired" to specific modelling frameworks and generic data analysis or plotting packages. The package aims to facilitate reproducibility and reliability of scenario processing, validation and analysis by providing well-tested and documented methods for timeseries aggregation, downscaling and unit conversion. It supports various data formats, including sub-annual resolution using continuous time representation and "representative timeslices". The code base is implemented following best practices of collaborative scientific-software development. This manuscript describes the design principles of the package and the types of data which can be handled. The usefulness of pyam is illustrated by highlighting several recent applications.
Access RoutesGreen gold add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12688/openreseurope.13633.1&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| Open ENTRANCE ,EC| ENGAGE ,EC| NAVIGATE Maarten Brinkerink; Thorsten Burandt;
Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE L Welder; EF Álvarez Quispe; +15 Authors Maarten Brinkerink; Thorsten Burandt;Maarten Brinkerink
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMaarten Brinkerink in OpenAIRE L Welder; EF Álvarez Quispe; Edward Byers; F Maczek; Jonas Hörsch; Jonas Hörsch
Harvested from ORCID Public Data FileJonas Hörsch in OpenAIRE Jarmo Kikstra; Jarmo Kikstra;Jarmo Kikstra
Harvested from ORCID Public Data FileJarmo Kikstra in OpenAIRE Zebedee Nicholls; Zebedee Nicholls
Harvested from ORCID Public Data FileZebedee Nicholls in OpenAIRE Sebastian Zwickl-Bernhard; Sebastian Zwickl-Bernhard
Harvested from ORCID Public Data FileSebastian Zwickl-Bernhard in OpenAIRE Daniel Huppmann; Daniel Huppmann
Harvested from ORCID Public Data FileDaniel Huppmann in OpenAIRE Oliver Fricko; Matthew Gidden; Robin Lamboll;Oliver Fricko
Harvested from ORCID Public Data FileOliver Fricko in OpenAIRE Christopher J. Smith; Christopher J. Smith;Christopher J. Smith
Harvested from ORCID Public Data FileChristopher J. Smith in OpenAIRE Paul Kishimoto; Paul Kishimoto
Harvested from ORCID Public Data FilePaul Kishimoto in OpenAIRE M Budzinski; M Budzinski
Harvested from ORCID Public Data FileM Budzinski in OpenAIREThe open-source Python package pyam provides a suite of features and methods for the analysis, validation and visualization of reference data and scenario results generated by integrated assessment models, macro-energy tools and other frameworks in the domain of energy transition, climate change mitigation and sustainable development. It bridges the gap between scenario processing and visualisation solutions that are "hard-wired" to specific modelling frameworks and generic data analysis or plotting packages. The package aims to facilitate reproducibility and reliability of scenario processing, validation and analysis by providing well-tested and documented methods for timeseries aggregation, downscaling and unit conversion. It supports various data formats, including sub-annual resolution using continuous time representation and "representative timeslices". The code base is implemented following best practices of collaborative scientific-software development. This manuscript describes the design principles of the package and the types of data which can be handled. The usefulness of pyam is illustrated by highlighting several recent applications.
Access RoutesGreen gold add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12688/openreseurope.13633.1&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - DFG| Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks Martin Schmidt;
Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Detlef Stolten; Detlef Stolten; Jochen Linßen; +7 AuthorsDetlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Detlef Stolten; Detlef Stolten; Jochen Linßen;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Johannes Thürauf; Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Markus Reuß; Markus Reuß
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarkus Reuß in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Lara Welder; Lara Welder;Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Lars Schewe; Lars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Thomas Grube; Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIRECommon energy system models that integrate hydrogen transport in pipelines typically simplify fluid flow models and reduce the network size in order to achieve solutions quickly. This contribution analyzes two different types of pipeline network topologies (namely, star and tree networks) and two different fluid flow models (linear and nonlinear) for a given hydrogen capacity scenario of electrical reconversion in Germany to analyze the impact of these simplifications. For each network topology, robust demand and supply scenarios are generated. The results show that a simplified topology, as well as the consideration of detailed fluid flow, could heavily influence the total pipeline investment costs. For the given capacity scenario, an overall cost reduction of the pipeline costs of 37% is observed for the star network with linear cost compared to the tree network with nonlinear fluid flow. The impact of these improvements regarding the total electricity reconversion costs has led to a cost reduction of 1.4%, which is fairly small. Therefore, the integration of nonlinearities into energy system optimization models is not recommended due to their high computational burden. However, the applied method for generating robust demand and supply scenarios improved the credibility and robustness of the network topology, while the simplified fluid flow consideration can lead to infeasibilities. Thus, we suggest the utilization of the nonlinear model for post-processing to prove the feasibility of the results and strengthen their credibility, while retaining the computational performance of linear modeling.
Access RoutesGreen hybrid 31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2019.10.080&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - DFG| Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks Martin Schmidt;
Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Detlef Stolten; Detlef Stolten; Jochen Linßen; +7 AuthorsDetlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Detlef Stolten; Detlef Stolten; Jochen Linßen;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIRE Johannes Thürauf; Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Markus Reuß; Markus Reuß
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarkus Reuß in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Lara Welder; Lara Welder;Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Lars Schewe; Lars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Thomas Grube; Thomas Grube
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas Grube in OpenAIRECommon energy system models that integrate hydrogen transport in pipelines typically simplify fluid flow models and reduce the network size in order to achieve solutions quickly. This contribution analyzes two different types of pipeline network topologies (namely, star and tree networks) and two different fluid flow models (linear and nonlinear) for a given hydrogen capacity scenario of electrical reconversion in Germany to analyze the impact of these simplifications. For each network topology, robust demand and supply scenarios are generated. The results show that a simplified topology, as well as the consideration of detailed fluid flow, could heavily influence the total pipeline investment costs. For the given capacity scenario, an overall cost reduction of the pipeline costs of 37% is observed for the star network with linear cost compared to the tree network with nonlinear fluid flow. The impact of these improvements regarding the total electricity reconversion costs has led to a cost reduction of 1.4%, which is fairly small. Therefore, the integration of nonlinearities into energy system optimization models is not recommended due to their high computational burden. However, the applied method for generating robust demand and supply scenarios improved the credibility and robustness of the network topology, while the simplified fluid flow consideration can lead to infeasibilities. Thus, we suggest the utilization of the nonlinear model for post-processing to prove the feasibility of the results and strengthen their credibility, while retaining the computational performance of linear modeling.
Access RoutesGreen hybrid 31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2019.10.080&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Natalie Ebersbach; Peter Stenzel;
Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; +4 AuthorsMartin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRENatalie Ebersbach; Peter Stenzel; Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Detlef Stolten; Detlef Stolten; Peter Markewitz; Bernd Emonts;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIREAbstract For this study, a spatially and temporally resolved optimization model was used to investigate and economically evaluate pathways for using surplus electricity to cover positive residual loads by means of different technologies to reconvert hydrogen into electricity. The associated technology pathways consist of electrolyzers, salt caverns, hydrogen pipelines, power cables, and various technologies for reconversion into electricity. The investigations were conducted based on an energy scenario for 2050 in which surplus electricity from northern Germany is available to cover the electricity grid load in the federal state of North Rhine-Westphalia (NRW). A key finding of the pathway analysis is that NRW's electricity demand can be covered entirely by renewable energy sources in this scenario, which involves CO2 savings of 44.4 million tons of CO2/a in comparison to the positive residual load being covered from a conventional power plant fleet. The pathway involving CCGT (combined cycle gas turbines) as hydrogen reconversion option was identified as being the most cost effective (total investment: € 43.1 billion, electricity generation costs of reconversion: € 176/MWh). Large-scale hydrogen storage and reconversion as well as the use of the hydrogen infrastructure built for this purpose can make a meaningful contribution to the expansion of the electricity grid. However, for reasons of efficiency, substituting the electricity grid expansion entirely with hydrogen reconversion systems does not make sense from an economic standpoint. Furthermore, the hydrogen reconversion pathways evaluated, including large-scale storage, significantly contribute to the security of the energy supply and to secured power generation capacities.
47 citations 47 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2018.11.194&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Natalie Ebersbach; Peter Stenzel;
Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; +4 AuthorsMartin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRENatalie Ebersbach; Peter Stenzel; Peter Stenzel
Harvested from ORCID Public Data FilePeter Stenzel in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIRE Detlef Stolten; Detlef Stolten; Peter Markewitz; Bernd Emonts;Detlef Stolten
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDetlef Stolten in OpenAIREAbstract For this study, a spatially and temporally resolved optimization model was used to investigate and economically evaluate pathways for using surplus electricity to cover positive residual loads by means of different technologies to reconvert hydrogen into electricity. The associated technology pathways consist of electrolyzers, salt caverns, hydrogen pipelines, power cables, and various technologies for reconversion into electricity. The investigations were conducted based on an energy scenario for 2050 in which surplus electricity from northern Germany is available to cover the electricity grid load in the federal state of North Rhine-Westphalia (NRW). A key finding of the pathway analysis is that NRW's electricity demand can be covered entirely by renewable energy sources in this scenario, which involves CO2 savings of 44.4 million tons of CO2/a in comparison to the positive residual load being covered from a conventional power plant fleet. The pathway involving CCGT (combined cycle gas turbines) as hydrogen reconversion option was identified as being the most cost effective (total investment: € 43.1 billion, electricity generation costs of reconversion: € 176/MWh). Large-scale hydrogen storage and reconversion as well as the use of the hydrogen infrastructure built for this purpose can make a meaningful contribution to the expansion of the electricity grid. However, for reasons of efficiency, substituting the electricity grid expansion entirely with hydrogen reconversion systems does not make sense from an economic standpoint. Furthermore, the hydrogen reconversion pathways evaluated, including large-scale storage, significantly contribute to the security of the energy supply and to secured power generation capacities.
47 citations 47 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijhydene.2018.11.194&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Robinius, Martin;
Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Welder, Lara; Ryberg, David; Mansilla, Christine; +13 AuthorsWelder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Robinius, Martin; Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Welder, Lara; Ryberg, David; Mansilla, Christine; Lucchese, Paul; Tlili, Olfa; Le Duigou, Alain; Simon, Jesus; Balan, Mihai; Dickinson, Robert R.; Dolci, Francesco; Weidner, Eveline; Gammon, Rupert; Meeks, Noah;Welder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Pereira, Andre; Pereira, Andre
Harvested from ORCID Public Data FilePereira, Andre in OpenAIRE Samsatli, Sheila; Valentin, Solene;Samsatli, Sheila
Harvested from ORCID Public Data FileSamsatli, Sheila in OpenAIREWith the expansion of renewable energy's contribution to the energy mix, balancing the electricity grid is becoming increasingly challenging. Alongside other solutions, Power-to-Hydrogen concepts are gaining significant interest. In this paper, the “Task 38”, initiated by the Hydrogen Implementing Agreement of the International Energy Agency, presents the first of a two-step literature review regarding Power-to-Hydrogen and Hydrogen-to-X concepts with a focus on prospective market and economic potential. The study reveals a large scope of literature that shows a considerable variety of suggested implementation schemes. The transportation sector is identified as the most promising consumer market. Hydrogen-to-Gas pathways will require subsidies in order to be profitable. Hydrogen-to-Power becomes an economically promising option in the context of systems with high shares of renewables and a need for longer-term storages. Additionally, key enablers for Power-to-Hydrogen concepts are identified; namely support policies, concurrently with ongoing progress on the development and implementation of industry standard.
10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eem.2017.7981884&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Robinius, Martin;
Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Welder, Lara; Ryberg, David; Mansilla, Christine; +13 AuthorsWelder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Robinius, Martin; Robinius, Martin
Harvested from ORCID Public Data FileRobinius, Martin in OpenAIRE Welder, Lara; Ryberg, David; Mansilla, Christine; Lucchese, Paul; Tlili, Olfa; Le Duigou, Alain; Simon, Jesus; Balan, Mihai; Dickinson, Robert R.; Dolci, Francesco; Weidner, Eveline; Gammon, Rupert; Meeks, Noah;Welder, Lara
Harvested from ORCID Public Data FileWelder, Lara in OpenAIRE Pereira, Andre; Pereira, Andre
Harvested from ORCID Public Data FilePereira, Andre in OpenAIRE Samsatli, Sheila; Valentin, Solene;Samsatli, Sheila
Harvested from ORCID Public Data FileSamsatli, Sheila in OpenAIREWith the expansion of renewable energy's contribution to the energy mix, balancing the electricity grid is becoming increasingly challenging. Alongside other solutions, Power-to-Hydrogen concepts are gaining significant interest. In this paper, the “Task 38”, initiated by the Hydrogen Implementing Agreement of the International Energy Agency, presents the first of a two-step literature review regarding Power-to-Hydrogen and Hydrogen-to-X concepts with a focus on prospective market and economic potential. The study reveals a large scope of literature that shows a considerable variety of suggested implementation schemes. The transportation sector is identified as the most promising consumer market. Hydrogen-to-Gas pathways will require subsidies in order to be profitable. Hydrogen-to-Power becomes an economically promising option in the context of systems with high shares of renewables and a need for longer-term storages. Additionally, key enablers for Power-to-Hydrogen concepts are identified; namely support policies, concurrently with ongoing progress on the development and implementation of industry standard.
10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eem.2017.7981884&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - DFG Johannes Thürauf;
Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Lars Schewe; +3 AuthorsLars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Johannes Thürauf; Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Lars Schewe; Detlef Stolten; Detlef Stolten;Lars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIREWe consider the problem of discrete arc sizing for tree-shaped potential networks with respect to infinitely many demand scenarios. This means that the arc sizes need to be feasible for an infinite set of scenarios. The problem can be seen as a strictly robust counterpart of a single-scenario network design problem, which is shown to be NP-complete even on trees. In order to obtain a tractable problem, we introduce a method for generating a finite scenario set such that optimality of a sizing for this finite set implies the sizing’s optimality for the originally given infinite set of scenarios. We further prove that the size of the finite scenario set is quadratically bounded above in the number of nodes of the underlying tree and that it can be computed in polynomial time. The resulting problem can then be solved as a standard mixed-integer linear optimization problem. Finally, we show the applicability of our theoretical results by computing globally optimal arc sizes for a realistic hydrogen transport network of Eastern Germany.
24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10589-019-00085-x&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - DFG Johannes Thürauf;
Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Lars Schewe; +3 AuthorsLars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Johannes Thürauf; Johannes Thürauf
Harvested from ORCID Public Data FileJohannes Thürauf in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Schmidt; Martin Schmidt
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin Schmidt in OpenAIRE Lars Schewe; Detlef Stolten; Detlef Stolten;Lars Schewe
Harvested from ORCID Public Data FileLars Schewe in OpenAIRE Martin Robinius; Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIREWe consider the problem of discrete arc sizing for tree-shaped potential networks with respect to infinitely many demand scenarios. This means that the arc sizes need to be feasible for an infinite set of scenarios. The problem can be seen as a strictly robust counterpart of a single-scenario network design problem, which is shown to be NP-complete even on trees. In order to obtain a tractable problem, we introduce a method for generating a finite scenario set such that optimality of a sizing for this finite set implies the sizing’s optimality for the originally given infinite set of scenarios. We further prove that the size of the finite scenario set is quadratically bounded above in the number of nodes of the underlying tree and that it can be computed in polynomial time. The resulting problem can then be solved as a standard mixed-integer linear optimization problem. Finally, we show the applicability of our theoretical results by computing globally optimal arc sizes for a realistic hydrogen transport network of Eastern Germany.
24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10589-019-00085-x&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Detlef Stolten; Detlef Stolten; D. Severin Ryberg; Leander Kotzur; +3 Authors
Leander Kotzur
Harvested from ORCID Public Data FileLeander Kotzur in OpenAIREDetlef Stolten; Detlef Stolten; D. Severin Ryberg; Leander Kotzur; Leander Kotzur
Harvested from ORCID Public Data FileLeander Kotzur in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; Thomas Grube;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIREAbstract Achieving greenhouse gas reduction targets requires an increased share of renewable energy sources in todays energy systems. The spatial and temporal mismatch between electricity supply and consumers demand arising from fluctuating renewable electricity generation can be overcome by energy transport and storage. Here, one option is the Power-to-Gas concept. With this, hydrogen is produced by water electrolysis and can then be flexibly distributed and stored throughout the energy system. In this study, an optimization model is proposed that represents such an energy system as multiple interconnected nodes and which considers the systems time-dependent characteristics in terms of the integration of typical days and their chronological order. This methodology is applied to determine the cost-optimal design and operation of future energy systems for Power-to-Gas scenarios in Germany. In these scenarios, hydrogen is supplied to mobility and industry. Onshore wind turbines and hydrogen pipelines and underground storage facilities are considered for generation, transmission and storage. For all scenarios, a hydrogen cost below the current hydrogen retail price of 9.5 Euro/kg at German fueling stations is obtained. Additionally, the value of hydrogen storage in salt caverns is investigated by prohibiting their construction during optimization, which results in a cost increase of 1.5 Euro/kg.
203 citations 203 popularity Top 1% influence Top 1% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2018.05.059&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Detlef Stolten; Detlef Stolten; D. Severin Ryberg; Leander Kotzur; +3 Authors
Leander Kotzur
Harvested from ORCID Public Data FileLeander Kotzur in OpenAIREDetlef Stolten; Detlef Stolten; D. Severin Ryberg; Leander Kotzur; Leander Kotzur
Harvested from ORCID Public Data FileLeander Kotzur in OpenAIRE Lara Welder; Lara Welder
Harvested from ORCID Public Data FileLara Welder in OpenAIRE Martin Robinius; Thomas Grube;Martin Robinius
Harvested from ORCID Public Data FileMartin Robinius in OpenAIREAbstract Achieving greenhouse gas reduction targets requires an increased share of renewable energy sources in todays energy systems. The spatial and temporal mismatch between electricity supply and consumers demand arising from fluctuating renewable electricity generation can be overcome by energy transport and storage. Here, one option is the Power-to-Gas concept. With this, hydrogen is produced by water electrolysis and can then be flexibly distributed and stored throughout the energy system. In this study, an optimization model is proposed that represents such an energy system as multiple interconnected nodes and which considers the systems time-dependent characteristics in terms of the integration of typical days and their chronological order. This methodology is applied to determine the cost-optimal design and operation of future energy systems for Power-to-Gas scenarios in Germany. In these scenarios, hydrogen is supplied to mobility and industry. Onshore wind turbines and hydrogen pipelines and underground storage facilities are considered for generation, transmission and storage. For all scenarios, a hydrogen cost below the current hydrogen retail price of 9.5 Euro/kg at German fueling stations is obtained. Additionally, the value of hydrogen storage in salt caverns is investigated by prohibiting their construction during optimization, which results in a cost increase of 1.5 Euro/kg.
203 citations 203 popularity Top 1% influence Top 1% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2018.05.059&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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