Modeling variable renewable energy and storage in the power sector

The emergence of variable renewable energy and battery storage technologies have fundamentally transformed the electric power sector and generated demand for analysis to understand their roles in future energy systems. Although unique characteristics of these resources are well-recognized and requir...

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Veröffentlicht in:	Energy policy Jg. 156; S. 112424
Hauptverfasser:	Bistline, John, Blanford, Geoffrey, Mai, Trieu, Merrick, James
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.09.2021 Elsevier Science Ltd
Schlagworte:	Alternative energy batteries Best practice Consumers Decarbonization Demand analysis Deployment Electric power Electric power demand Electricity Energy Energy and environmental policy Energy policy Energy storage Energy systems modeling Impact analysis Literature reviews Modelling Policy analysis Policy and planning Policy making Power Power sector economics Renewable energy renewable energy sources Renewable resources Scale models stakeholders Storage Energy systems modeling Power sector economics Renewable energy Energy and environmental policy Energy storage
ISSN:	0301-4215, 1873-6777
Online-Zugang:	Volltext
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Abstract	The emergence of variable renewable energy and battery storage technologies have fundamentally transformed the electric power sector and generated demand for analysis to understand their roles in future energy systems. Although unique characteristics of these resources are well-recognized and require more sophisticated methodologies to capture effectively, guidance is limited on best practices and research gaps. This paper selectively reviews recent literature and draws upon our collective modeling experience to offer recommendations to analysts and consumers of model outputs on approaches for modeling variable renewable energy and storage in long-term electric sector models. We focus on regional- and national-scale models with technological, temporal, and spatial detail given their prevalence in planning and policy analysis, though insights are applicable in other settings. The review highlights how the research frontier has advanced in representing renewables and energy storage over the past decade; however, given the many considerations involved with appropriately capturing salient economic and operational characteristics of renewables, there is a gap between commonly used models and state-of-the-art methods. Model simplifications can materially impact policy analysis associated with power sector decarbonization and high renewables deployment, and improving model representations of variable renewables can enhance insights for policymakers and other stakeholders. This review can point the way for improved methods for established models and designs for emerging ones. •Variable renewables and storage require advanced modeling to capture unique traits.•This survey highlights model considerations, best practices, and research gaps.•Choices about model structure and parameters impact policy analysis.
AbstractList	The emergence of variable renewable energy and battery storage technologies have fundamentally transformed the electric power sector and generated demand for analysis to understand their roles in future energy systems. Although unique characteristics of these resources are well-recognized and require more sophisticated methodologies to capture effectively, guidance is limited on best practices and research gaps. This paper selectively reviews recent literature and draws upon our collective modeling experience to offer recommendations to analysts and consumers of model outputs on approaches for modeling variable renewable energy and storage in long-term electric sector models. We focus on regional- and national-scale models with technological, temporal, and spatial detail given their prevalence in planning and policy analysis, though insights are applicable in other settings. The review highlights how the research frontier has advanced in representing renewables and energy storage over the past decade; however, given the many considerations involved with appropriately capturing salient economic and operational characteristics of renewables, there is a gap between commonly used models and state-of-the-art methods. Model simplifications can materially impact policy analysis associated with power sector decarbonization and high renewables deployment, and improving model representations of variable renewables can enhance insights for policymakers and other stakeholders. This review can point the way for improved methods for established models and designs for emerging ones. •Variable renewables and storage require advanced modeling to capture unique traits.•This survey highlights model considerations, best practices, and research gaps.•Choices about model structure and parameters impact policy analysis. The emergence of variable renewable energy and battery storage technologies have fundamentally transformed the electric power sector and generated demand for analysis to understand their roles in future energy systems. Although unique characteristics of these resources are well-recognized and require more sophisticated methodologies to capture effectively, guidance is limited on best practices and research gaps. This paper selectively reviews recent literature and draws upon our collective modeling experience to offer recommendations to analysts and consumers of model outputs on approaches for modeling variable renewable energy and storage in long-term electric sector models. We focus on regional- and national-scale models with technological, temporal, and spatial detail given their prevalence in planning and policy analysis, though insights are applicable in other settings. The review highlights how the research frontier has advanced in representing renewables and energy storage over the past decade; however, given the many considerations involved with appropriately capturing salient economic and operational characteristics of renewables, there is a gap between commonly used models and state-of-the-art methods. Model simplifications can materially impact policy analysis associated with power sector decarbonization and high renewables deployment, and improving model representations of variable renewables can enhance insights for policymakers and other stakeholders. This review can point the way for improved methods for established models and designs for emerging ones.
ArticleNumber	112424
Author	Mai, Trieu Bistline, John Merrick, James Blanford, Geoffrey
Author_xml	– sequence: 1 givenname: John surname: Bistline fullname: Bistline, John email: jbistline@epri.com organization: Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA, 94304, USA – sequence: 2 givenname: Geoffrey surname: Blanford fullname: Blanford, Geoffrey organization: Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA, 94304, USA – sequence: 3 givenname: Trieu surname: Mai fullname: Mai, Trieu organization: National Renewable Energy Laboratory, Golden, CO, USA – sequence: 4 givenname: James orcidid: 0000-0001-5224-7337 surname: Merrick fullname: Merrick, James organization: Geal Research, Shean, Edenderry, Co. Offaly, Ireland
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SubjectTerms	Alternative energy batteries Best practice Consumers Decarbonization Demand analysis Deployment Electric power Electric power demand Electricity Energy Energy and environmental policy Energy policy Energy storage Energy systems modeling Impact analysis Literature reviews Modelling Policy analysis Policy and planning Policy making Power Power sector economics Renewable energy renewable energy sources Renewable resources Scale models stakeholders Storage
Title	Modeling variable renewable energy and storage in the power sector
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