The Future European Energy System : : Renewable Energy, Flexibility Options and Technological Progress.

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 secto...

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Place / Publishing House:Cham : : Springer International Publishing AG,, 2021.
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spelling Möst, Dominik.
The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
Springer Nature 2021
Cham : Springer International Publishing AG, 2021.
©2021.
1 online resource (321 pages)
text txt rdacontent
computer c rdamedia
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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.
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.
English
H2020 European Research Council
Environmental economics bicssc
Energy technology & engineering bicssc
Public administration bicssc
Electrical engineering bicssc
Natural Resource and Energy Economics
Energy Policy, Economics and Management
Public Policy
Power Electronics, Electrical Machines and Networks
Energy System Transformation
Energy Grids and Networks
Energy system analysis
Renewable energy
Life cycle assessment
Technological learing
Energy system models
Energy market models
Climate change
Low-carbon energy system
Strategic energy technology plan of the European Commission
Open Access
Environmental economics
Energy technology & engineering
Energy industries & utilities
Public administration
Electrical engineering
3-030-60913-8
Schreiber, Steffi.
Herbst, Andrea.
Jakob, Martin.
Martino, Angelo.
Poganietz, Witold-Roger.
language English
format eBook
author Möst, Dominik.
spellingShingle Möst, Dominik.
The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
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.
author_facet Möst, Dominik.
Schreiber, Steffi.
Herbst, Andrea.
Jakob, Martin.
Martino, Angelo.
Poganietz, Witold-Roger.
author_variant d m dm
author2 Schreiber, Steffi.
Herbst, Andrea.
Jakob, Martin.
Martino, Angelo.
Poganietz, Witold-Roger.
author2_variant s s ss
a h ah
m j mj
a m am
w r p wrp
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_sort Möst, Dominik.
title The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
title_sub Renewable Energy, Flexibility Options and Technological Progress.
title_full The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
title_fullStr The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
title_full_unstemmed The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
title_auth The Future European Energy System : Renewable Energy, Flexibility Options and Technological Progress.
title_new The Future European Energy System :
title_sort the future european energy system : renewable energy, flexibility options and technological progress.
publisher Springer Nature
Springer International Publishing AG,
publishDate 2021
physical 1 online resource (321 pages)
contents 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.
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fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>11080nam a22004573i 4500</leader><controlfield tag="001">993548645504498</controlfield><controlfield tag="005">20210901203437.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">210901s2021 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-030-60914-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4100000011781628</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)EBC6491804</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL6491804</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1240209242</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/64039</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994100000011781628</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HB71-74</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Möst, Dominik.</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Future European Energy System :</subfield><subfield code="b">Renewable Energy, Flexibility Options and Technological Progress.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Springer Nature</subfield><subfield code="c">2021</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2021.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (321 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This open access book analyzes the transition toward a low-carbon energy system in Europe under the aspects of flexibility and technological progress. 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