Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning
Abstract The comprehensive evaluation of strategies for decarbonizing large‐scale energy systems requires insights from many different perspectives. In energy systems analysis, optimization models are widely used for this purpose. However, they are limited in incorporating all crucial aspects of suc...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
|
Series: | Energy Science & Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1002/ese3.891 |
id |
doaj-d7301dae55da4454a352f03718e33836 |
---|---|
record_format |
Article |
spelling |
doaj-d7301dae55da4454a352f03718e338362021-08-03T15:52:59ZengWileyEnergy Science & Engineering2050-05052021-08-01981052106010.1002/ese3.891Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planningKarl‐Kiên Cao0Jannik Haas1Evelyn Sperber2Shima Sasanpour3Seyedfarzad Sarfarazi4Thomas Pregger5Oussama Alaya6Hendrik Lens7Simon R. Drauz8Tanja M. Kneiske9Department of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment of Energy Systems Analysis Institute of Networked Energy Systems German Aerospace Center (DLR) Stuttgart GermanyDepartment Power Generation and Automatic Control Institute of Combustion and Power Plant Technology (IFK) University of Stuttgart Stuttgart GermanyDepartment Power Generation and Automatic Control Institute of Combustion and Power Plant Technology (IFK) University of Stuttgart Stuttgart GermanyGrid Planning and Grid Operation Division Fraunhofer Institute for Energy Economics and Energy System Technology Kassel GermanyGrid Planning and Grid Operation Division Fraunhofer Institute for Energy Economics and Energy System Technology Kassel GermanyAbstract The comprehensive evaluation of strategies for decarbonizing large‐scale energy systems requires insights from many different perspectives. In energy systems analysis, optimization models are widely used for this purpose. However, they are limited in incorporating all crucial aspects of such a complex system to be sustainably transformed. Hence, they differ in terms of their spatial, temporal, technological, and economic perspective and either have a narrow focus with high resolution or a broad scope with little detail. Against this background, we introduce the so‐called granularity gaps and discuss two possibilities to address them: increasing the resolutions of the established optimization models, and the different kinds of model coupling. After laying out open challenges, we propose a novel framework to design power systems in particular. Our exemplary concept exploits the capabilities of power system optimization, transmission network simulation, distribution grid planning, and agent‐based simulation. This integrated framework can serve to study the energy transition with greater comprehensibility and may be a blueprint for similar multimodel analyses.https://doi.org/10.1002/ese3.891decarbonizationdecentral flexibilityenergy system modelinggranularity gapsmodel couplingsecurity of supply |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Karl‐Kiên Cao Jannik Haas Evelyn Sperber Shima Sasanpour Seyedfarzad Sarfarazi Thomas Pregger Oussama Alaya Hendrik Lens Simon R. Drauz Tanja M. Kneiske |
spellingShingle |
Karl‐Kiên Cao Jannik Haas Evelyn Sperber Shima Sasanpour Seyedfarzad Sarfarazi Thomas Pregger Oussama Alaya Hendrik Lens Simon R. Drauz Tanja M. Kneiske Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning Energy Science & Engineering decarbonization decentral flexibility energy system modeling granularity gaps model coupling security of supply |
author_facet |
Karl‐Kiên Cao Jannik Haas Evelyn Sperber Shima Sasanpour Seyedfarzad Sarfarazi Thomas Pregger Oussama Alaya Hendrik Lens Simon R. Drauz Tanja M. Kneiske |
author_sort |
Karl‐Kiên Cao |
title |
Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning |
title_short |
Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning |
title_full |
Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning |
title_fullStr |
Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning |
title_full_unstemmed |
Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning |
title_sort |
bridging granularity gaps to decarbonize large‐scale energy systems—the case of power system planning |
publisher |
Wiley |
series |
Energy Science & Engineering |
issn |
2050-0505 |
publishDate |
2021-08-01 |
description |
Abstract The comprehensive evaluation of strategies for decarbonizing large‐scale energy systems requires insights from many different perspectives. In energy systems analysis, optimization models are widely used for this purpose. However, they are limited in incorporating all crucial aspects of such a complex system to be sustainably transformed. Hence, they differ in terms of their spatial, temporal, technological, and economic perspective and either have a narrow focus with high resolution or a broad scope with little detail. Against this background, we introduce the so‐called granularity gaps and discuss two possibilities to address them: increasing the resolutions of the established optimization models, and the different kinds of model coupling. After laying out open challenges, we propose a novel framework to design power systems in particular. Our exemplary concept exploits the capabilities of power system optimization, transmission network simulation, distribution grid planning, and agent‐based simulation. This integrated framework can serve to study the energy transition with greater comprehensibility and may be a blueprint for similar multimodel analyses. |
topic |
decarbonization decentral flexibility energy system modeling granularity gaps model coupling security of supply |
url |
https://doi.org/10.1002/ese3.891 |
work_keys_str_mv |
AT karlkiencao bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT jannikhaas bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT evelynsperber bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT shimasasanpour bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT seyedfarzadsarfarazi bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT thomaspregger bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT oussamaalaya bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT hendriklens bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT simonrdrauz bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning AT tanjamkneiske bridginggranularitygapstodecarbonizelargescaleenergysystemsthecaseofpowersystemplanning |
_version_ |
1721223165418405888 |