Climate proofing the renewable electricity deployment in Europe - Introducing climate variability in large energy systems models

Autor: Filipa Amorim, Sofia Simoes, Sílvia Carvalho, Gildas Siggini, Hamza Mraihi, Edi Assoumou, Yves-Marie Saint-Drenan, Valentina Sessa
Přispěvatelé: Centre de Mathématiques Appliquées (CMA), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratório Nacional de Energia e Geologia (LNEG), Centro de Investigação em Ambiente e Sustentabilidade [Lisbonne] (CENSE), Faculdade de Ciências e Tecnologia = School of Science & Technology (FCT NOVA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)-Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Centre Observation, Impacts, Énergie (O.I.E.), Climate Change Impact Adaptation And Modelling [Lisboa] (CCIAM), Faculdade de Ciências [Lisboa], Universidade de Lisboa (ULISBOA)-Universidade de Lisboa (ULISBOA), Repositório da Universidade de Lisboa
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Natural resource economics
020209 energy
Climate change
02 engineering and technology
010501 environmental sciences
01 natural sciences
7. Clean energy
Energy industries. Energy policy. Fuel trade
Electric power system
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
0202 electrical engineering
electronic engineering
information engineering
Climate variability
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
Variable renewables power
business.industry
[SPI.NRJ]Engineering Sciences [physics]/Electric power
[SDE.PLT]Environmental Sciences/domain_sde.plt
TIMES optimization Model
Energy mix
[SDE.ES]Environmental Sciences/Environmental and Society
Renewable energy
Electricity generation
13. Climate action
Software deployment
Environmental science
HD9502-9502.5
Electricity
European power sector
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
business
Energy (signal processing)
Energy (miscellaneous)
Zdroj: Energy Strategy Reviews
Energy Strategy Reviews, Elsevier, 2021, 35, pp.100657. ⟨10.1016/j.esr.2021.100657⟩
Energy Strategy Reviews, Vol 35, Iss, Pp 100657-(2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
ISSN: 2211-467X
DOI: 10.1016/j.esr.2021.100657⟩
Popis: Climate and weather conditions influence energy demand. as well as electricity generation, especially due to the strong development of renewable energy. The changes of the European energy mix, together with ongoing climate change, raise a number of questions on impact on the electricity sector. In this paper we present results for the whole of the European power sector regarding on how considering current and future climate variability affects the results of a TIMES energy system model for the whole European power sector (eTIMES-EU) up to 2050. For each member-state we consider six climate projections to generate future capacity factors for wind, solar and hydro power generation. as well as temperature impact on electricity demand for heating and cooling. These are input into the eTIMES-EU model to assess how climate affects the optimal operation of the power system and if current EU-wide RES and emissions target deployment may be affected. Results show that although at EU-wide level there are no substantial changes, there are significant differences in countries RES deployment (especially wind and solar) and in electricity trade.
Databáze: OpenAIRE
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