System integration of wind and solar power in Integrated Assessment Models: A cross-model evaluation of new approaches
Robert C. Pietzcker (),
Falko Ueckerdt,
Samuel Carrara,
Harmen Sytze de Boer,
Jacques Després,
Shinichiro Fujimori,
Nils Johnson,
Alban Kitous,
Yvonne Scholz,
Patrick Sullivan and
Gunnar Luderer
Additional contact information
Robert C. Pietzcker: PIK - Potsdam Institute for Climate Impact Research
Falko Ueckerdt: PIK - Potsdam Institute for Climate Impact Research
Samuel Carrara: ISIS - Institut de Science et d'ingénierie supramoléculaires - UNISTRA - Université de Strasbourg - INC-CNRS - Institut de Chimie - CNRS Chimie - CNRS - Centre National de la Recherche Scientifique - MNGE - Matériaux et Nanosciences Grand-Est - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - INSERM - Institut National de la Santé et de la Recherche Médicale - INC-CNRS - Institut de Chimie - CNRS Chimie - CNRS - Centre National de la Recherche Scientifique - Réseau nanophotonique et optique - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - CNRS - Centre National de la Recherche Scientifique
Harmen Sytze de Boer: PBL Netherlands Environmental Assessment Agency
Shinichiro Fujimori: NIES - National Institute for Environmental Studies
Nils Johnson: IIASA - International Institute for Applied Systems Analysis [Laxenburg]
Alban Kitous: IPTS - JRC Institute for Prospective Technological Studies - JRC - European Commission - Joint Research Centre [Seville]
Yvonne Scholz: ITT - DLR Institut für Technische Thermodynamik / Institute of Engineering Thermodynamics - DLR - Deutsches Zentrum für Luft- und Raumfahrt [Stuttgart]
Patrick Sullivan: NREL - National Renewable Energy Laboratory
Gunnar Luderer: PIK - Potsdam Institute for Climate Impact Research
Post-Print from HAL
Abstract:
Mitigation-Process Integrated Assessment Models (MP-IAMs) are used to analyze long-term transformation pathways of the energy system required to achieve stringent climate change mitigation targets. Due to their substantial temporal and spatial aggregation, IAMs cannot explicitly represent all detailed challenges of integrating the variable renewable energies (VRE) wind and solar in power systems, but rather rely on parameterized modeling approaches. In the ADVANCE project, six international modeling teams have developed new approaches to improve the representation of power sector dynamics and VRE integration in IAMs. In this study, we qualitatively and quantitatively evaluate the last years' modeling progress and study the impact of VRE integration modeling on VRE deployment in IAM scenarios. For a comprehensive and transparent qualitative evaluation, we first develop a framework of 18 features of power sector dynamics and VRE integration. We then apply this framework to the newly-developed modeling approaches to derive a detailed map of strengths and limitations of the different approaches. For the quantitative evaluation, we compare the IAMs to the detailed hourly-resolution power sector model REMIX. We find that the new modeling approaches manage to represent a large number of features of the power sector, and the numerical results are in reasonable agreement with those derived from the detailed power sector model. Updating the power sector representation and the cost and resources of wind and solar substantially increased wind and solar shares across models: Under a carbon price of 30$/tCO2 in 2020 (increasing by 5% per year), the model-average cost-minimizing VRE share over the period 2050–2100 is 62% of electricity generation, 24%-points higher than with the old model version.
Keywords: flexibility options (storage; power sector model; system integration; model evaluation; transmission grid; demand response); Integrated assessment models (IAM); variable renewable energy (VRE); wind and solar power; model validation (search for similar items in EconPapers)
Date: 2016-11-25
Note: View the original document on HAL open archive server: https://hal.science/hal-01404158v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Published in Energy Economics, 2016, 64, pp.583-599. ⟨10.1016/j.eneco.2016.11.018⟩
Downloads: (external link)
https://hal.science/hal-01404158v1/document (application/pdf)
Related works:
Journal Article: System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches (2017) 
Working Paper: System Integration of Wind and Solar Power in Integrated Assessment Models: a Cross-model Evaluation of New Approaches (2017) 
Working Paper: System Integration of Wind and Solar Power in Integrated Assessment Models: a Cross-model Evaluation of New Approaches (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01404158
DOI: 10.1016/j.eneco.2016.11.018
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().