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  • 1
    UID:
    edoccha_BV047175466
    Umfang: 1 Online-Ressource (xxix, 309 Seiten).
    ISBN: 978-3-030-60914-6
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-60913-9
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Energieversorgung ; Energiewende ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Mehr zum Autor: Möst, Dominik 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    UID:
    almahu_BV047175466
    Umfang: 1 Online-Ressource (xxix, 309 Seiten).
    ISBN: 978-3-030-60914-6
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-60913-9
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Energieversorgung ; Energiewende ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Mehr zum Autor: Möst, Dominik, 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    UID:
    edocfu_BV047175466
    Umfang: 1 Online-Ressource (xxix, 309 Seiten).
    ISBN: 978-3-030-60914-6
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-60913-9
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Energieversorgung ; Energiewende ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Mehr zum Autor: Möst, Dominik 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    UID:
    b3kat_BV047175466
    Umfang: 1 Online-Ressource (xxix, 309 Seiten)
    ISBN: 9783030609146
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-60913-9
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Europa ; Energieversorgung ; Energiewende ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Mehr zum Autor: Möst, Dominik 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    UID:
    kobvindex_HPB1240209242
    Umfang: 1 online resource
    ISBN: 9783030609146 , 3030609146 , 9783030609153 , 3030609154 , 9783030609160 , 3030609162
    Serie: Open Access e-Books
    Inhalt: This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. By covering the main energy sectors - including the industry, residential, tertiary and transport sector as well as the heating and electricity sector - the analysis assesses flexibility requirements in a cross-sectoral energy system with high shares of renewable energies. The contributing authors - all European energy experts - apply models and tools from various research fields, including techno-economic learning, fundamental energy system modeling, and environmental and social life cycle as well as health impact assessment, to develop an innovative and comprehensive energy models system (EMS). Moreover, the contributions examine renewable penetrations and their contributions to climate change mitigation, and the impacts of available technologies on the energy system. Given its scope, the book appeals to researchers studying energy systems and markets, professionals and policymakers of the energy industry and readers interested in the transformation to a low-carbon energy system in Europe.
    Anmerkung: Part I : Introduction, Scenario Description and Model Coupling Approach -- Chapter 1 - Introduction ( Dominik Most, Steffi Schreiber and Martin Jakob) -- Chapter 2 - Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System ( Andrea Herbst, Steffi Schreiber, Witold-Roger Poganietz, Angelo Martino and Dominik Most) -- Chapter 3 - Model Coupling Approach for the Analysis of the Future European Energy System ( Robert Kunze and Steffi Schreiber ) -- Part II : Technological Progress -- Chapter 4 - Deriving Experience Curves and Implementing Technological Learning in Energy System Models ( Atse Louwen and Martin Junginger ) -- Chapter 5 - Electric Vehicle Market Diffusion in Main Non-European Markets ( Katrin Seddig, Patrick Jochem and Wolf Fichtner ) -- Part III : Demand Side Flexibility and the Role of Disruptive Technologies -- Chapter 6 - Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Central Energy System ( Andrea Herbst, Anna-Lena Klingler, Stephanie Heitel, Pia Manz, Tobias Fleiter, Matthias Rehfeldt, Francesca Fermi, Davide Fiorello, Angelo Martino and Ulrich Reiter) -- Chapter 7 - Disruptive Demand Side Technologies: Market Shares and Impact on Flexibility in a Decentralized World ( Stephanie Heitel, Anna-Lena Klingler, Andrea Herbst and Francesca Fermi ) -- Chapter 8 - What is the Flexibility Potential in the Tertiary Sector? (Ulrich Reiter and Martin Jakob) -- Chapter 9 - A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options (Theresa Ladwig) -- Part IV: Flexibility Options in the Electricity and Heating Sector -- Chapter 10 - Optimal Energy Portfolios in the Electricity Sector: Trade-offs and Interplay between Different Flexibility Options ( Steffi Schreiber, Christoph Zophel and Dominik Most ) -- Chapter 11 - Impact of Electricity Market Designs on Investments in Flexibility Options ( Christoph Fraunholz, Dogan Keles and Wolf Fichtner ) -- Chapter 12 - Optimal Energy Portfolios in the Heating Sector and the Flexibility Potential of Combined-Heat-Power Plants and District Heating Systems ( Maciej Raczynski, Artur Wyrwa, Marcin Pluta and Wojciech Suwaa ) -- Part V : Analysis of the Environmental and Socio-Impacts beyond the Greenhouse Gas Emission Reduction Targets -- Chapter 13 - Unintended Environmental Impacts at Local and Global Scale Trade-offs of a Low-carbon Electricity System (Maryegli Fuss and Lei Xu).-Chapter 14 - Assessing Social Impacts in Current and Future Electricity Production in the European Union (Nils Brown and David Linden ) -- Chapter 15 - Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions (Janusz Zysk, Artur Wyrwa, Beata Sliz-Szkliniarz) -- Part VI : Concluding Remarks -- Chapter 16 - Comprehensive Insights and Recommendations (Dominik Most, Andrea Herbst, Martin Jakob, Witold-Roger Poganietz, Steffi Schreiber and Christoph Zophel).
    In: Springer Nature eBook
    Weitere Ausg.: 3030609138
    Weitere Ausg.: 9783030609139
    Sprache: Englisch
    Schlagwort(e): Electronic books. ; Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 6
    UID:
    almahu_9949301296102882
    Umfang: 1 online resource (321 pages)
    ISBN: 9783030609146
    Anmerkung: Intro -- Foreword -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- List of Figures -- List of Tables -- Part IIntroduction, Scenario Description and Model Coupling Approach -- 1 Introduction -- Reference -- 2 Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System -- 2.1 Introduction -- 2.2 Scenario Definition and General Drivers -- 2.3 Socio-Technical Scenario Framework -- 2.4 Moderate Renewable Energy Source Scenario (Mod-RES) -- 2.5 Centralized versus Decentralized High Renewable Scenario (High-RES) -- 2.5.1 Centralized High-RES Scenario -- 2.5.2 Decentralized High-RES Scenario -- 2.6 Conclusions -- References -- 3 Model Coupling Approach for the Analysis of the Future European Energy System -- 3.1 Introduction -- 3.2 Description of Applied Models -- 3.2.1 ELTRAMOD -- 3.2.2 TIMES-Heat-EU -- 3.2.3 PowerACE -- 3.2.4 FORECAST -- 3.2.5 eLOAD -- 3.2.6 ASTRA -- 3.2.7 TE3 -- 3.2.8 eLCA and sLCA -- 3.2.9 πESA -- 3.3 REFLEX Energy Models System -- References -- Part IITechnological Progress -- 4 Deriving Experience Curves and Implementing Technological Learning in Energy System Models -- 4.1 Introduction -- 4.1.1 History and Concept -- 4.1.2 Key Applications of Experience Curves -- 4.1.3 Key Issues and Drawbacks of Experience Curves -- 4.2 Data Collection and Derivation of Experience Curves -- 4.2.1 Functional Unit and System Boundaries -- 4.2.2 Correction for Currency and Inflation -- 4.2.3 Deriving Experience Curve Parameters -- 4.3 Experience Curves in Energy System Models -- 4.3.1 Model Implementation of Experience Curves -- 4.3.2 Issues with Implementation of Experience Curves in Energy Models -- 4.3.3 Description of Energy Models with Implemented Experience Curves -- 4.4 State-of-the-Art Experience Curves and Modeling Results. , 4.4.1 Overview of State-of-the-Art Experience Curves -- 4.4.2 Deployments and Cost Developments of Relevant Technologies -- 4.5 Lessons Learned -- 4.5.1 Methodological Issues -- 4.5.2 Model Implementation Issues -- 4.6 Conclusions -- References -- 5 Electric Vehicle Market Diffusion in Main Non-European Markets -- 5.1 Introduction -- 5.1.1 Motivation -- 5.1.2 Related Research and Research Question -- 5.2 Considering Experience Curves in Market Diffusion Modeling and Scenario Definition -- 5.2.1 The TE3 Model and Implementation of Experience Curves -- 5.2.2 Framework of the Two Analyzed Scenarios for the Main Non-European Car Markets -- 5.3 Results of Key Non-European Countries -- 5.3.1 Effects on Cumulative Battery Capacity and Battery Costs -- 5.3.2 Development of the Car Stock for the Four Main Markets in the Mod-RES and High-RES Scenario -- 5.3.3 Critical Review and Limitations -- 5.4 Summary and Conclusions -- References -- Part IIIDemand Side Flexibility and the Role of Disruptive Technologies -- 6 Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System -- 6.1 Introduction -- 6.2 Scenario Assumptions and Model Coupling -- 6.3 Future Energy Demand and CO2 Emissions -- 6.3.1 Decarbonizing the Transport Sector -- 6.3.2 Decarbonizing the Residential and Tertiary Sector -- 6.3.3 Decarbonizing the Industry Sector -- 6.4 The Future Need for Demand Side Flexibility -- 6.5 Conclusions -- References -- 7 Disruptive Demand Side Technologies: Market Shares and Impact on Flexibility in a Decentralized World -- 7.1 Introduction -- 7.1.1 Strategies for Decarbonizing Transport -- 7.1.2 Technologies for Decarbonizing Industry -- 7.1.3 Focus of this Study: Disruptive Technologies with Demand Side Flexibility -- 7.2 Disruptive Technologies with Flexibility Potential. , 7.2.1 Photovoltaic Systems and Stationary Batteries -- 7.2.2 Battery Electric Vehicles -- 7.2.3 Hydrogen Electrolysis -- 7.3 Scenario Assumptions and Methodology -- 7.3.1 Scenario Assumptions for High-RES Decentralized -- 7.3.2 Model Coupling Approach -- 7.3.3 Methods Used for Technology Diffusion -- 7.4 Results: Diffusion of Technologies and Energy Demand -- 7.4.1 Installed Battery Capacity -- 7.4.2 Vehicle Fleet Technology Composition and Resulting Energy Demand -- 7.4.3 Radical Process Improvements in Industry and Their Implications for Future Electricity Demand -- 7.5 Impacts of Disruptive Technologies on Demand Side Flexibility -- 7.6 Discussion and Conclusions -- References -- 8 What is the Flexibility Potential in the Tertiary Sector? -- 8.1 Introduction -- 8.1.1 Overview of Demand Side Flexibility Markets -- 8.1.2 Overview of Tertiary Sector and Potential Applications, Regulatory Environment -- 8.2 Data Collection Methodology -- 8.2.1 Research Questions -- 8.2.2 Empirical Survey Introduction -- 8.2.3 Issues Encountered Regarding Empirical Data -- 8.3 Survey Results and Derived Flexibility Potentials -- 8.3.1 Participation Interest in DSM -- 8.3.2 Available Technologies -- 8.3.3 Derived Flexibility Potentials (S-Curve) -- 8.3.4 Lessons Learned and Issues Identified for Modelers -- 8.4 Conclusions and Recommendations for Further Research -- References -- 9 A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options -- 9.1 Introduction -- 9.2 Techno-Economic Characteristics of DSM in Comparison with Other Flexibility Options -- 9.2.1 Technical Characteristics of DSM -- 9.2.2 Activation and Initialization Costs of DSM -- 9.3 Impact of DSM on Other Flexibility Options -- 9.3.1 Framework of the Analysis -- 9.3.2 Impact of DSM on the Operation of Conventional Power Plants and Pump Storage Plants. , 9.3.3 Impact of DSM on Imports and Exports -- 9.4 Conclusions -- References -- Part IVFlexibility Options in the Electricity and Heating Sector -- 10 Optimal Energy Portfolios in the Electricity Sector: Trade-Offs and Interplay Between Different Flexibility Options -- 10.1 Introduction -- 10.2 Data Input and Model Coupling -- 10.3 Optimal Investments in Flexibility Options -- 10.3.1 Sector Coupling Technologies -- 10.3.2 Power Plant Mix -- 10.3.3 Storages -- 10.4 Sensitivity Analyses -- 10.4.1 Impact of Limited DSM Potential and Reduced Battery Investment Costs on the Storage Value in the Electricity Market -- 10.4.2 Impact of Higher Shares of Renewable Energy Sources -- 10.5 Levelized Costs of Electricity and CO2 Abatement Costs -- 10.6 Discussion and Conclusion -- References -- 11 Impact of Electricity Market Designs on Investments in Flexibility Options -- 11.1 The European Debate on Electricity Market Design -- 11.2 Research Design -- 11.3 Development of the Conventional Generation Capacities and Wholesale Electricity Prices -- 11.3.1 Mod-RES Scenario -- 11.3.2 High-RES Decentralized Scenario -- 11.3.3 High-RES Centralized Scenario -- 11.4 Impact on Generation Adequacy -- 11.5 Summary and Conclusions -- References -- 12 Optimal Energy Portfolios in the Heating Sector and Flexibility Potentials of Combined-Heat-Power Plants and District Heating Systems -- 12.1 Introduction -- 12.2 TIMES-Heat-EU Model -- 12.3 Developments in the District Heating Sector -- 12.3.1 Scenario Results -- 12.3.2 CO2 Emissions in the Heating Sector -- 12.3.3 Sensitivity Analysis -- 12.4 Conclusion -- References -- Part VAnalysis of the Environmental and Socio-Impacts beyond the Greenhouse Gas Emission Reduction Targets -- 13 Unintended Environmental Impacts at Local and Global Scale-Trade-Offs of a Low-Carbon Electricity System -- 13.1 Introduction. , 13.2 Developing the Model Coupling Approach to Identify Environmental Trade-Offs -- 13.2.1 Describing Relevant Input Parameters for the LCA Model in Context of the REFLEX Scenarios -- 13.2.2 Coupling the Results of ELTRAMOD and the LCA Model to Determine Policy Implications -- 13.3 Unintended Environmental Consequences of the European Low-Carbon Electricity System -- 13.3.1 Environmental Impacts at Local Scale and the Challenges for European Member States -- 13.3.2 Resource Depletion in REFLEX Mitigation Scenarios as a Backdrop of Global Trade Uncertainty -- 13.4 Conclusions and Policy Implications -- References -- 14 Assessing Social Impacts in Current and Future Electricity Production in the European Union -- 14.1 Introduction -- 14.2 Method -- 14.2.1 Background to the SOCA Add-on for Social Life Cycle Assessment -- 14.2.2 Establishing the Life Cycle Model for Social Assessment -- 14.2.3 Social Impact Categories -- 14.2.4 Calculation Method -- 14.2.5 Contribution Analysis -- 14.3 Results -- 14.4 Concluding Discussion and Policy Implications -- References -- 15 Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions -- 15.1 Introduction -- 15.2 Description of the Method -- 15.2.1 Emission Scenarios -- 15.2.2 Air Quality Modeling -- 15.2.3 Health Impacts and External Costs -- 15.3 Results -- 15.3.1 Summary and Conclusions -- References -- Part VIConcluding Remarks -- 16 Summary, Conclusion and Recommendations -- 16.1 Summary -- 16.1.1 Electricity Sector -- 16.1.2 Demand Side Sectors -- 16.1.3 Environmental Impacts -- 16.2 Conclusions and Recommendations -- 16.2.1 Electricity Sector -- 16.2.2 Industry Sector -- 16.2.3 Transport Sector -- 16.2.4 Heating Sector -- 16.2.5 Environmental, Social Life Cycle and Health Impact Assessment -- 16.3 Further Aspects and Outlook -- References.
    Weitere Ausg.: Print version: Möst, Dominik The Future European Energy System Cham : Springer International Publishing AG,c2021 ISBN 9783030609139
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    UID:
    kobvindex_INTEBC6491804
    Umfang: 1 online resource (321 pages)
    ISBN: 9783030609146
    Anmerkung: Intro -- Foreword -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- List of Figures -- List of Tables -- Part IIntroduction, Scenario Description and Model Coupling Approach -- 1 Introduction -- Reference -- 2 Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System -- 2.1 Introduction -- 2.2 Scenario Definition and General Drivers -- 2.3 Socio-Technical Scenario Framework -- 2.4 Moderate Renewable Energy Source Scenario (Mod-RES) -- 2.5 Centralized versus Decentralized High Renewable Scenario (High-RES) -- 2.5.1 Centralized High-RES Scenario -- 2.5.2 Decentralized High-RES Scenario -- 2.6 Conclusions -- References -- 3 Model Coupling Approach for the Analysis of the Future European Energy System -- 3.1 Introduction -- 3.2 Description of Applied Models -- 3.2.1 ELTRAMOD -- 3.2.2 TIMES-Heat-EU -- 3.2.3 PowerACE -- 3.2.4 FORECAST -- 3.2.5 eLOAD -- 3.2.6 ASTRA -- 3.2.7 TE3 -- 3.2.8 eLCA and sLCA -- 3.2.9 πESA -- 3.3 REFLEX Energy Models System -- References -- Part IITechnological Progress -- 4 Deriving Experience Curves and Implementing Technological Learning in Energy System Models -- 4.1 Introduction -- 4.1.1 History and Concept -- 4.1.2 Key Applications of Experience Curves -- 4.1.3 Key Issues and Drawbacks of Experience Curves -- 4.2 Data Collection and Derivation of Experience Curves -- 4.2.1 Functional Unit and System Boundaries -- 4.2.2 Correction for Currency and Inflation -- 4.2.3 Deriving Experience Curve Parameters -- 4.3 Experience Curves in Energy System Models -- 4.3.1 Model Implementation of Experience Curves -- 4.3.2 Issues with Implementation of Experience Curves in Energy Models -- 4.3.3 Description of Energy Models with Implemented Experience Curves -- 4.4 State-of-the-Art Experience Curves and Modeling Results , 13.2 Developing the Model Coupling Approach to Identify Environmental Trade-Offs -- 13.2.1 Describing Relevant Input Parameters for the LCA Model in Context of the REFLEX Scenarios -- 13.2.2 Coupling the Results of ELTRAMOD and the LCA Model to Determine Policy Implications -- 13.3 Unintended Environmental Consequences of the European Low-Carbon Electricity System -- 13.3.1 Environmental Impacts at Local Scale and the Challenges for European Member States -- 13.3.2 Resource Depletion in REFLEX Mitigation Scenarios as a Backdrop of Global Trade Uncertainty -- 13.4 Conclusions and Policy Implications -- References -- 14 Assessing Social Impacts in Current and Future Electricity Production in the European Union -- 14.1 Introduction -- 14.2 Method -- 14.2.1 Background to the SOCA Add-on for Social Life Cycle Assessment -- 14.2.2 Establishing the Life Cycle Model for Social Assessment -- 14.2.3 Social Impact Categories -- 14.2.4 Calculation Method -- 14.2.5 Contribution Analysis -- 14.3 Results -- 14.4 Concluding Discussion and Policy Implications -- References -- 15 Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions -- 15.1 Introduction -- 15.2 Description of the Method -- 15.2.1 Emission Scenarios -- 15.2.2 Air Quality Modeling -- 15.2.3 Health Impacts and External Costs -- 15.3 Results -- 15.3.1 Summary and Conclusions -- References -- Part VIConcluding Remarks -- 16 Summary, Conclusion and Recommendations -- 16.1 Summary -- 16.1.1 Electricity Sector -- 16.1.2 Demand Side Sectors -- 16.1.3 Environmental Impacts -- 16.2 Conclusions and Recommendations -- 16.2.1 Electricity Sector -- 16.2.2 Industry Sector -- 16.2.3 Transport Sector -- 16.2.4 Heating Sector -- 16.2.5 Environmental, Social Life Cycle and Health Impact Assessment -- 16.3 Further Aspects and Outlook -- References , 4.4.1 Overview of State-of-the-Art Experience Curves -- 4.4.2 Deployments and Cost Developments of Relevant Technologies -- 4.5 Lessons Learned -- 4.5.1 Methodological Issues -- 4.5.2 Model Implementation Issues -- 4.6 Conclusions -- References -- 5 Electric Vehicle Market Diffusion in Main Non-European Markets -- 5.1 Introduction -- 5.1.1 Motivation -- 5.1.2 Related Research and Research Question -- 5.2 Considering Experience Curves in Market Diffusion Modeling and Scenario Definition -- 5.2.1 The TE3 Model and Implementation of Experience Curves -- 5.2.2 Framework of the Two Analyzed Scenarios for the Main Non-European Car Markets -- 5.3 Results of Key Non-European Countries -- 5.3.1 Effects on Cumulative Battery Capacity and Battery Costs -- 5.3.2 Development of the Car Stock for the Four Main Markets in the Mod-RES and High-RES Scenario -- 5.3.3 Critical Review and Limitations -- 5.4 Summary and Conclusions -- References -- Part IIIDemand Side Flexibility and the Role of Disruptive Technologies -- 6 Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System -- 6.1 Introduction -- 6.2 Scenario Assumptions and Model Coupling -- 6.3 Future Energy Demand and CO2 Emissions -- 6.3.1 Decarbonizing the Transport Sector -- 6.3.2 Decarbonizing the Residential and Tertiary Sector -- 6.3.3 Decarbonizing the Industry Sector -- 6.4 The Future Need for Demand Side Flexibility -- 6.5 Conclusions -- References -- 7 Disruptive Demand Side Technologies: Market Shares and Impact on Flexibility in a Decentralized World -- 7.1 Introduction -- 7.1.1 Strategies for Decarbonizing Transport -- 7.1.2 Technologies for Decarbonizing Industry -- 7.1.3 Focus of this Study: Disruptive Technologies with Demand Side Flexibility -- 7.2 Disruptive Technologies with Flexibility Potential , 7.2.1 Photovoltaic Systems and Stationary Batteries -- 7.2.2 Battery Electric Vehicles -- 7.2.3 Hydrogen Electrolysis -- 7.3 Scenario Assumptions and Methodology -- 7.3.1 Scenario Assumptions for High-RES Decentralized -- 7.3.2 Model Coupling Approach -- 7.3.3 Methods Used for Technology Diffusion -- 7.4 Results: Diffusion of Technologies and Energy Demand -- 7.4.1 Installed Battery Capacity -- 7.4.2 Vehicle Fleet Technology Composition and Resulting Energy Demand -- 7.4.3 Radical Process Improvements in Industry and Their Implications for Future Electricity Demand -- 7.5 Impacts of Disruptive Technologies on Demand Side Flexibility -- 7.6 Discussion and Conclusions -- References -- 8 What is the Flexibility Potential in the Tertiary Sector? -- 8.1 Introduction -- 8.1.1 Overview of Demand Side Flexibility Markets -- 8.1.2 Overview of Tertiary Sector and Potential Applications, Regulatory Environment -- 8.2 Data Collection Methodology -- 8.2.1 Research Questions -- 8.2.2 Empirical Survey Introduction -- 8.2.3 Issues Encountered Regarding Empirical Data -- 8.3 Survey Results and Derived Flexibility Potentials -- 8.3.1 Participation Interest in DSM -- 8.3.2 Available Technologies -- 8.3.3 Derived Flexibility Potentials (S-Curve) -- 8.3.4 Lessons Learned and Issues Identified for Modelers -- 8.4 Conclusions and Recommendations for Further Research -- References -- 9 A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options -- 9.1 Introduction -- 9.2 Techno-Economic Characteristics of DSM in Comparison with Other Flexibility Options -- 9.2.1 Technical Characteristics of DSM -- 9.2.2 Activation and Initialization Costs of DSM -- 9.3 Impact of DSM on Other Flexibility Options -- 9.3.1 Framework of the Analysis -- 9.3.2 Impact of DSM on the Operation of Conventional Power Plants and Pump Storage Plants , 9.3.3 Impact of DSM on Imports and Exports -- 9.4 Conclusions -- References -- Part IVFlexibility Options in the Electricity and Heating Sector -- 10 Optimal Energy Portfolios in the Electricity Sector: Trade-Offs and Interplay Between Different Flexibility Options -- 10.1 Introduction -- 10.2 Data Input and Model Coupling -- 10.3 Optimal Investments in Flexibility Options -- 10.3.1 Sector Coupling Technologies -- 10.3.2 Power Plant Mix -- 10.3.3 Storages -- 10.4 Sensitivity Analyses -- 10.4.1 Impact of Limited DSM Potential and Reduced Battery Investment Costs on the Storage Value in the Electricity Market -- 10.4.2 Impact of Higher Shares of Renewable Energy Sources -- 10.5 Levelized Costs of Electricity and CO2 Abatement Costs -- 10.6 Discussion and Conclusion -- References -- 11 Impact of Electricity Market Designs on Investments in Flexibility Options -- 11.1 The European Debate on Electricity Market Design -- 11.2 Research Design -- 11.3 Development of the Conventional Generation Capacities and Wholesale Electricity Prices -- 11.3.1 Mod-RES Scenario -- 11.3.2 High-RES Decentralized Scenario -- 11.3.3 High-RES Centralized Scenario -- 11.4 Impact on Generation Adequacy -- 11.5 Summary and Conclusions -- References -- 12 Optimal Energy Portfolios in the Heating Sector and Flexibility Potentials of Combined-Heat-Power Plants and District Heating Systems -- 12.1 Introduction -- 12.2 TIMES-Heat-EU Model -- 12.3 Developments in the District Heating Sector -- 12.3.1 Scenario Results -- 12.3.2 CO2 Emissions in the Heating Sector -- 12.3.3 Sensitivity Analysis -- 12.4 Conclusion -- References -- Part VAnalysis of the Environmental and Socio-Impacts beyond the Greenhouse Gas Emission Reduction Targets -- 13 Unintended Environmental Impacts at Local and Global Scale-Trade-Offs of a Low-Carbon Electricity System -- 13.1 Introduction
    Weitere Ausg.: Print version Möst, Dominik The Future European Energy System Cham : Springer International Publishing AG,c2021 ISBN 9783030609139
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    URL: FULL  ((Currently Only Available on Campus))
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    UID:
    gbv_1759143553
    Umfang: xxix, 309 Seiten , Diagramme
    ISBN: 9783030609139
    Inhalt: This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. By covering the main energy sectors – including the industry, residential, tertiary and transport sector as well as the heating and electricity sector – the analysis assesses flexibility requirements in a cross-sectoral energy system with high shares of renewable energies. The contributing authors – all European energy experts – apply models and tools from various research fields, including techno-economic learning, fundamental energy system modeling, and environmental and social life cycle as well as health impact assessment, to develop an innovative and comprehensive energy models system (EMS). Moreover, the contributions examine renewable penetrations and their contributions to climate change mitigation, and the impacts of available technologies on the energy system. Given its scope, the book appeals to researchers studying energy systems and markets, professionals and policymakers of the energy industry and readers interested in the transformation to a low-carbon energy system in Europe
    Weitere Ausg.: ISBN 9783030609146
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-3-030-60914-6
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Europa ; Energieversorgung ; Energiewende
    Mehr zum Autor: Möst, Dominik 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 9
    UID:
    edoccha_9959782730302883
    Umfang: 1 online resource (321 pages)
    ISBN: 3-030-60914-6
    Inhalt: This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. By covering the main energy sectors – including the industry, residential, tertiary and transport sector as well as the heating and electricity sector – the analysis assesses flexibility requirements in a cross-sectoral energy system with high shares of renewable energies. The contributing authors – all European energy experts – apply models and tools from various research fields, including techno-economic learning, fundamental energy system modeling, and environmental and social life cycle as well as health impact assessment, to develop an innovative and comprehensive energy models system (EMS). Moreover, the contributions examine renewable penetrations and their contributions to climate change mitigation, and the impacts of available technologies on the energy system. Given its scope, the book appeals to researchers studying energy systems and markets, professionals and policymakers of the energy industry and readers interested in the transformation to a low-carbon energy system in Europe.
    Anmerkung: Intro -- Foreword -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- List of Figures -- List of Tables -- Part IIntroduction, Scenario Description and Model Coupling Approach -- 1 Introduction -- Reference -- 2 Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System -- 2.1 Introduction -- 2.2 Scenario Definition and General Drivers -- 2.3 Socio-Technical Scenario Framework -- 2.4 Moderate Renewable Energy Source Scenario (Mod-RES) -- 2.5 Centralized versus Decentralized High Renewable Scenario (High-RES) -- 2.5.1 Centralized High-RES Scenario -- 2.5.2 Decentralized High-RES Scenario -- 2.6 Conclusions -- References -- 3 Model Coupling Approach for the Analysis of the Future European Energy System -- 3.1 Introduction -- 3.2 Description of Applied Models -- 3.2.1 ELTRAMOD -- 3.2.2 TIMES-Heat-EU -- 3.2.3 PowerACE -- 3.2.4 FORECAST -- 3.2.5 eLOAD -- 3.2.6 ASTRA -- 3.2.7 TE3 -- 3.2.8 eLCA and sLCA -- 3.2.9 πESA -- 3.3 REFLEX Energy Models System -- References -- Part IITechnological Progress -- 4 Deriving Experience Curves and Implementing Technological Learning in Energy System Models -- 4.1 Introduction -- 4.1.1 History and Concept -- 4.1.2 Key Applications of Experience Curves -- 4.1.3 Key Issues and Drawbacks of Experience Curves -- 4.2 Data Collection and Derivation of Experience Curves -- 4.2.1 Functional Unit and System Boundaries -- 4.2.2 Correction for Currency and Inflation -- 4.2.3 Deriving Experience Curve Parameters -- 4.3 Experience Curves in Energy System Models -- 4.3.1 Model Implementation of Experience Curves -- 4.3.2 Issues with Implementation of Experience Curves in Energy Models -- 4.3.3 Description of Energy Models with Implemented Experience Curves -- 4.4 State-of-the-Art Experience Curves and Modeling Results. , 4.4.1 Overview of State-of-the-Art Experience Curves -- 4.4.2 Deployments and Cost Developments of Relevant Technologies -- 4.5 Lessons Learned -- 4.5.1 Methodological Issues -- 4.5.2 Model Implementation Issues -- 4.6 Conclusions -- References -- 5 Electric Vehicle Market Diffusion in Main Non-European Markets -- 5.1 Introduction -- 5.1.1 Motivation -- 5.1.2 Related Research and Research Question -- 5.2 Considering Experience Curves in Market Diffusion Modeling and Scenario Definition -- 5.2.1 The TE3 Model and Implementation of Experience Curves -- 5.2.2 Framework of the Two Analyzed Scenarios for the Main Non-European Car Markets -- 5.3 Results of Key Non-European Countries -- 5.3.1 Effects on Cumulative Battery Capacity and Battery Costs -- 5.3.2 Development of the Car Stock for the Four Main Markets in the Mod-RES and High-RES Scenario -- 5.3.3 Critical Review and Limitations -- 5.4 Summary and Conclusions -- References -- Part IIIDemand Side Flexibility and the Role of Disruptive Technologies -- 6 Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System -- 6.1 Introduction -- 6.2 Scenario Assumptions and Model Coupling -- 6.3 Future Energy Demand and CO2 Emissions -- 6.3.1 Decarbonizing the Transport Sector -- 6.3.2 Decarbonizing the Residential and Tertiary Sector -- 6.3.3 Decarbonizing the Industry Sector -- 6.4 The Future Need for Demand Side Flexibility -- 6.5 Conclusions -- References -- 7 Disruptive Demand Side Technologies: Market Shares and Impact on Flexibility in a Decentralized World -- 7.1 Introduction -- 7.1.1 Strategies for Decarbonizing Transport -- 7.1.2 Technologies for Decarbonizing Industry -- 7.1.3 Focus of this Study: Disruptive Technologies with Demand Side Flexibility -- 7.2 Disruptive Technologies with Flexibility Potential. , 7.2.1 Photovoltaic Systems and Stationary Batteries -- 7.2.2 Battery Electric Vehicles -- 7.2.3 Hydrogen Electrolysis -- 7.3 Scenario Assumptions and Methodology -- 7.3.1 Scenario Assumptions for High-RES Decentralized -- 7.3.2 Model Coupling Approach -- 7.3.3 Methods Used for Technology Diffusion -- 7.4 Results: Diffusion of Technologies and Energy Demand -- 7.4.1 Installed Battery Capacity -- 7.4.2 Vehicle Fleet Technology Composition and Resulting Energy Demand -- 7.4.3 Radical Process Improvements in Industry and Their Implications for Future Electricity Demand -- 7.5 Impacts of Disruptive Technologies on Demand Side Flexibility -- 7.6 Discussion and Conclusions -- References -- 8 What is the Flexibility Potential in the Tertiary Sector? -- 8.1 Introduction -- 8.1.1 Overview of Demand Side Flexibility Markets -- 8.1.2 Overview of Tertiary Sector and Potential Applications, Regulatory Environment -- 8.2 Data Collection Methodology -- 8.2.1 Research Questions -- 8.2.2 Empirical Survey Introduction -- 8.2.3 Issues Encountered Regarding Empirical Data -- 8.3 Survey Results and Derived Flexibility Potentials -- 8.3.1 Participation Interest in DSM -- 8.3.2 Available Technologies -- 8.3.3 Derived Flexibility Potentials (S-Curve) -- 8.3.4 Lessons Learned and Issues Identified for Modelers -- 8.4 Conclusions and Recommendations for Further Research -- References -- 9 A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options -- 9.1 Introduction -- 9.2 Techno-Economic Characteristics of DSM in Comparison with Other Flexibility Options -- 9.2.1 Technical Characteristics of DSM -- 9.2.2 Activation and Initialization Costs of DSM -- 9.3 Impact of DSM on Other Flexibility Options -- 9.3.1 Framework of the Analysis -- 9.3.2 Impact of DSM on the Operation of Conventional Power Plants and Pump Storage Plants. , 9.3.3 Impact of DSM on Imports and Exports -- 9.4 Conclusions -- References -- Part IVFlexibility Options in the Electricity and Heating Sector -- 10 Optimal Energy Portfolios in the Electricity Sector: Trade-Offs and Interplay Between Different Flexibility Options -- 10.1 Introduction -- 10.2 Data Input and Model Coupling -- 10.3 Optimal Investments in Flexibility Options -- 10.3.1 Sector Coupling Technologies -- 10.3.2 Power Plant Mix -- 10.3.3 Storages -- 10.4 Sensitivity Analyses -- 10.4.1 Impact of Limited DSM Potential and Reduced Battery Investment Costs on the Storage Value in the Electricity Market -- 10.4.2 Impact of Higher Shares of Renewable Energy Sources -- 10.5 Levelized Costs of Electricity and CO2 Abatement Costs -- 10.6 Discussion and Conclusion -- References -- 11 Impact of Electricity Market Designs on Investments in Flexibility Options -- 11.1 The European Debate on Electricity Market Design -- 11.2 Research Design -- 11.3 Development of the Conventional Generation Capacities and Wholesale Electricity Prices -- 11.3.1 Mod-RES Scenario -- 11.3.2 High-RES Decentralized Scenario -- 11.3.3 High-RES Centralized Scenario -- 11.4 Impact on Generation Adequacy -- 11.5 Summary and Conclusions -- References -- 12 Optimal Energy Portfolios in the Heating Sector and Flexibility Potentials of Combined-Heat-Power Plants and District Heating Systems -- 12.1 Introduction -- 12.2 TIMES-Heat-EU Model -- 12.3 Developments in the District Heating Sector -- 12.3.1 Scenario Results -- 12.3.2 CO2 Emissions in the Heating Sector -- 12.3.3 Sensitivity Analysis -- 12.4 Conclusion -- References -- Part VAnalysis of the Environmental and Socio-Impacts beyond the Greenhouse Gas Emission Reduction Targets -- 13 Unintended Environmental Impacts at Local and Global Scale-Trade-Offs of a Low-Carbon Electricity System -- 13.1 Introduction. , 13.2 Developing the Model Coupling Approach to Identify Environmental Trade-Offs -- 13.2.1 Describing Relevant Input Parameters for the LCA Model in Context of the REFLEX Scenarios -- 13.2.2 Coupling the Results of ELTRAMOD and the LCA Model to Determine Policy Implications -- 13.3 Unintended Environmental Consequences of the European Low-Carbon Electricity System -- 13.3.1 Environmental Impacts at Local Scale and the Challenges for European Member States -- 13.3.2 Resource Depletion in REFLEX Mitigation Scenarios as a Backdrop of Global Trade Uncertainty -- 13.4 Conclusions and Policy Implications -- References -- 14 Assessing Social Impacts in Current and Future Electricity Production in the European Union -- 14.1 Introduction -- 14.2 Method -- 14.2.1 Background to the SOCA Add-on for Social Life Cycle Assessment -- 14.2.2 Establishing the Life Cycle Model for Social Assessment -- 14.2.3 Social Impact Categories -- 14.2.4 Calculation Method -- 14.2.5 Contribution Analysis -- 14.3 Results -- 14.4 Concluding Discussion and Policy Implications -- References -- 15 Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions -- 15.1 Introduction -- 15.2 Description of the Method -- 15.2.1 Emission Scenarios -- 15.2.2 Air Quality Modeling -- 15.2.3 Health Impacts and External Costs -- 15.3 Results -- 15.3.1 Summary and Conclusions -- References -- Part VIConcluding Remarks -- 16 Summary, Conclusion and Recommendations -- 16.1 Summary -- 16.1.1 Electricity Sector -- 16.1.2 Demand Side Sectors -- 16.1.3 Environmental Impacts -- 16.2 Conclusions and Recommendations -- 16.2.1 Electricity Sector -- 16.2.2 Industry Sector -- 16.2.3 Transport Sector -- 16.2.4 Heating Sector -- 16.2.5 Environmental, Social Life Cycle and Health Impact Assessment -- 16.3 Further Aspects and Outlook -- References. , English
    Weitere Ausg.: ISBN 3-030-60913-8
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 10
    UID:
    edocfu_9959782730302883
    Umfang: 1 online resource (321 pages)
    ISBN: 3-030-60914-6
    Inhalt: This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. By covering the main energy sectors – including the industry, residential, tertiary and transport sector as well as the heating and electricity sector – the analysis assesses flexibility requirements in a cross-sectoral energy system with high shares of renewable energies. The contributing authors – all European energy experts – apply models and tools from various research fields, including techno-economic learning, fundamental energy system modeling, and environmental and social life cycle as well as health impact assessment, to develop an innovative and comprehensive energy models system (EMS). Moreover, the contributions examine renewable penetrations and their contributions to climate change mitigation, and the impacts of available technologies on the energy system. Given its scope, the book appeals to researchers studying energy systems and markets, professionals and policymakers of the energy industry and readers interested in the transformation to a low-carbon energy system in Europe.
    Anmerkung: Intro -- Foreword -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- List of Figures -- List of Tables -- Part IIntroduction, Scenario Description and Model Coupling Approach -- 1 Introduction -- Reference -- 2 Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System -- 2.1 Introduction -- 2.2 Scenario Definition and General Drivers -- 2.3 Socio-Technical Scenario Framework -- 2.4 Moderate Renewable Energy Source Scenario (Mod-RES) -- 2.5 Centralized versus Decentralized High Renewable Scenario (High-RES) -- 2.5.1 Centralized High-RES Scenario -- 2.5.2 Decentralized High-RES Scenario -- 2.6 Conclusions -- References -- 3 Model Coupling Approach for the Analysis of the Future European Energy System -- 3.1 Introduction -- 3.2 Description of Applied Models -- 3.2.1 ELTRAMOD -- 3.2.2 TIMES-Heat-EU -- 3.2.3 PowerACE -- 3.2.4 FORECAST -- 3.2.5 eLOAD -- 3.2.6 ASTRA -- 3.2.7 TE3 -- 3.2.8 eLCA and sLCA -- 3.2.9 πESA -- 3.3 REFLEX Energy Models System -- References -- Part IITechnological Progress -- 4 Deriving Experience Curves and Implementing Technological Learning in Energy System Models -- 4.1 Introduction -- 4.1.1 History and Concept -- 4.1.2 Key Applications of Experience Curves -- 4.1.3 Key Issues and Drawbacks of Experience Curves -- 4.2 Data Collection and Derivation of Experience Curves -- 4.2.1 Functional Unit and System Boundaries -- 4.2.2 Correction for Currency and Inflation -- 4.2.3 Deriving Experience Curve Parameters -- 4.3 Experience Curves in Energy System Models -- 4.3.1 Model Implementation of Experience Curves -- 4.3.2 Issues with Implementation of Experience Curves in Energy Models -- 4.3.3 Description of Energy Models with Implemented Experience Curves -- 4.4 State-of-the-Art Experience Curves and Modeling Results. , 4.4.1 Overview of State-of-the-Art Experience Curves -- 4.4.2 Deployments and Cost Developments of Relevant Technologies -- 4.5 Lessons Learned -- 4.5.1 Methodological Issues -- 4.5.2 Model Implementation Issues -- 4.6 Conclusions -- References -- 5 Electric Vehicle Market Diffusion in Main Non-European Markets -- 5.1 Introduction -- 5.1.1 Motivation -- 5.1.2 Related Research and Research Question -- 5.2 Considering Experience Curves in Market Diffusion Modeling and Scenario Definition -- 5.2.1 The TE3 Model and Implementation of Experience Curves -- 5.2.2 Framework of the Two Analyzed Scenarios for the Main Non-European Car Markets -- 5.3 Results of Key Non-European Countries -- 5.3.1 Effects on Cumulative Battery Capacity and Battery Costs -- 5.3.2 Development of the Car Stock for the Four Main Markets in the Mod-RES and High-RES Scenario -- 5.3.3 Critical Review and Limitations -- 5.4 Summary and Conclusions -- References -- Part IIIDemand Side Flexibility and the Role of Disruptive Technologies -- 6 Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System -- 6.1 Introduction -- 6.2 Scenario Assumptions and Model Coupling -- 6.3 Future Energy Demand and CO2 Emissions -- 6.3.1 Decarbonizing the Transport Sector -- 6.3.2 Decarbonizing the Residential and Tertiary Sector -- 6.3.3 Decarbonizing the Industry Sector -- 6.4 The Future Need for Demand Side Flexibility -- 6.5 Conclusions -- References -- 7 Disruptive Demand Side Technologies: Market Shares and Impact on Flexibility in a Decentralized World -- 7.1 Introduction -- 7.1.1 Strategies for Decarbonizing Transport -- 7.1.2 Technologies for Decarbonizing Industry -- 7.1.3 Focus of this Study: Disruptive Technologies with Demand Side Flexibility -- 7.2 Disruptive Technologies with Flexibility Potential. , 7.2.1 Photovoltaic Systems and Stationary Batteries -- 7.2.2 Battery Electric Vehicles -- 7.2.3 Hydrogen Electrolysis -- 7.3 Scenario Assumptions and Methodology -- 7.3.1 Scenario Assumptions for High-RES Decentralized -- 7.3.2 Model Coupling Approach -- 7.3.3 Methods Used for Technology Diffusion -- 7.4 Results: Diffusion of Technologies and Energy Demand -- 7.4.1 Installed Battery Capacity -- 7.4.2 Vehicle Fleet Technology Composition and Resulting Energy Demand -- 7.4.3 Radical Process Improvements in Industry and Their Implications for Future Electricity Demand -- 7.5 Impacts of Disruptive Technologies on Demand Side Flexibility -- 7.6 Discussion and Conclusions -- References -- 8 What is the Flexibility Potential in the Tertiary Sector? -- 8.1 Introduction -- 8.1.1 Overview of Demand Side Flexibility Markets -- 8.1.2 Overview of Tertiary Sector and Potential Applications, Regulatory Environment -- 8.2 Data Collection Methodology -- 8.2.1 Research Questions -- 8.2.2 Empirical Survey Introduction -- 8.2.3 Issues Encountered Regarding Empirical Data -- 8.3 Survey Results and Derived Flexibility Potentials -- 8.3.1 Participation Interest in DSM -- 8.3.2 Available Technologies -- 8.3.3 Derived Flexibility Potentials (S-Curve) -- 8.3.4 Lessons Learned and Issues Identified for Modelers -- 8.4 Conclusions and Recommendations for Further Research -- References -- 9 A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options -- 9.1 Introduction -- 9.2 Techno-Economic Characteristics of DSM in Comparison with Other Flexibility Options -- 9.2.1 Technical Characteristics of DSM -- 9.2.2 Activation and Initialization Costs of DSM -- 9.3 Impact of DSM on Other Flexibility Options -- 9.3.1 Framework of the Analysis -- 9.3.2 Impact of DSM on the Operation of Conventional Power Plants and Pump Storage Plants. , 9.3.3 Impact of DSM on Imports and Exports -- 9.4 Conclusions -- References -- Part IVFlexibility Options in the Electricity and Heating Sector -- 10 Optimal Energy Portfolios in the Electricity Sector: Trade-Offs and Interplay Between Different Flexibility Options -- 10.1 Introduction -- 10.2 Data Input and Model Coupling -- 10.3 Optimal Investments in Flexibility Options -- 10.3.1 Sector Coupling Technologies -- 10.3.2 Power Plant Mix -- 10.3.3 Storages -- 10.4 Sensitivity Analyses -- 10.4.1 Impact of Limited DSM Potential and Reduced Battery Investment Costs on the Storage Value in the Electricity Market -- 10.4.2 Impact of Higher Shares of Renewable Energy Sources -- 10.5 Levelized Costs of Electricity and CO2 Abatement Costs -- 10.6 Discussion and Conclusion -- References -- 11 Impact of Electricity Market Designs on Investments in Flexibility Options -- 11.1 The European Debate on Electricity Market Design -- 11.2 Research Design -- 11.3 Development of the Conventional Generation Capacities and Wholesale Electricity Prices -- 11.3.1 Mod-RES Scenario -- 11.3.2 High-RES Decentralized Scenario -- 11.3.3 High-RES Centralized Scenario -- 11.4 Impact on Generation Adequacy -- 11.5 Summary and Conclusions -- References -- 12 Optimal Energy Portfolios in the Heating Sector and Flexibility Potentials of Combined-Heat-Power Plants and District Heating Systems -- 12.1 Introduction -- 12.2 TIMES-Heat-EU Model -- 12.3 Developments in the District Heating Sector -- 12.3.1 Scenario Results -- 12.3.2 CO2 Emissions in the Heating Sector -- 12.3.3 Sensitivity Analysis -- 12.4 Conclusion -- References -- Part VAnalysis of the Environmental and Socio-Impacts beyond the Greenhouse Gas Emission Reduction Targets -- 13 Unintended Environmental Impacts at Local and Global Scale-Trade-Offs of a Low-Carbon Electricity System -- 13.1 Introduction. , 13.2 Developing the Model Coupling Approach to Identify Environmental Trade-Offs -- 13.2.1 Describing Relevant Input Parameters for the LCA Model in Context of the REFLEX Scenarios -- 13.2.2 Coupling the Results of ELTRAMOD and the LCA Model to Determine Policy Implications -- 13.3 Unintended Environmental Consequences of the European Low-Carbon Electricity System -- 13.3.1 Environmental Impacts at Local Scale and the Challenges for European Member States -- 13.3.2 Resource Depletion in REFLEX Mitigation Scenarios as a Backdrop of Global Trade Uncertainty -- 13.4 Conclusions and Policy Implications -- References -- 14 Assessing Social Impacts in Current and Future Electricity Production in the European Union -- 14.1 Introduction -- 14.2 Method -- 14.2.1 Background to the SOCA Add-on for Social Life Cycle Assessment -- 14.2.2 Establishing the Life Cycle Model for Social Assessment -- 14.2.3 Social Impact Categories -- 14.2.4 Calculation Method -- 14.2.5 Contribution Analysis -- 14.3 Results -- 14.4 Concluding Discussion and Policy Implications -- References -- 15 Spatially Disaggregated Impact Pathway Analysis of Direct Particulate Matter Emissions -- 15.1 Introduction -- 15.2 Description of the Method -- 15.2.1 Emission Scenarios -- 15.2.2 Air Quality Modeling -- 15.2.3 Health Impacts and External Costs -- 15.3 Results -- 15.3.1 Summary and Conclusions -- References -- Part VIConcluding Remarks -- 16 Summary, Conclusion and Recommendations -- 16.1 Summary -- 16.1.1 Electricity Sector -- 16.1.2 Demand Side Sectors -- 16.1.3 Environmental Impacts -- 16.2 Conclusions and Recommendations -- 16.2.1 Electricity Sector -- 16.2.2 Industry Sector -- 16.2.3 Transport Sector -- 16.2.4 Heating Sector -- 16.2.5 Environmental, Social Life Cycle and Health Impact Assessment -- 16.3 Further Aspects and Outlook -- References. , English
    Weitere Ausg.: ISBN 3-030-60913-8
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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