Integrated assessment of climate impacts and adaptation in the energy sector
Open accessAbstract
From an engineering perspective, climate change can affect the energy sector in a number of ways, such as changes in the efficiency of power plants and increases in peak demand due to higher cooling demand in hotter summers. This article reviews how integrated assessment models have estimated the impacts of climate in the energy sector, including the modelling of adaptation. While most of the literature has considered changes in space heating and cooling demand, few models have studied the impacts on the supply side of the energy sector. The article also reviews the main findings of the related literature. A number of knowledge gaps and possible research priorities are identified. Modelling possible adaptation measures and assessing the effects of climate extremes on the energy infrastructure are topics that require further attention.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Space heating and cooling demand is highly dependent on temperature changes.
“Some demand, most notably space heating and cooling, is highly dependent on temperature changes [132,139].”
From Energy system resilience – A review (2021) · cites this paper as [132]
Carbon capture and storage is expected to increase water demand.
“The use of carbon capture and storage is also expected to increase the water demand [132].”
From Energy system resilience – A review (2021) · cites this paper as [132]
Cites
Impacts of climate change on European critical infrastructures: The case of the power sector
Rübbelke, D., & Vögele, S. (2011) · Environmental Science & Policy · doi:10.1016/j.envsci.2010.10.007 · Cited by 164 · see citing works
The impact of climate change on the European energy system
Dowling, P. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.05.093 · Cited by 118 · cited 5× · see citing works
“POLES is a global bottom-up energy model, which has been used to analyse climate change impacts on the European energy system in the JRC PESETA II project16 (Dowling, 2013).”
MethodInfluentialSelf-citation
Flagged first, then by citations
Cited by
Sorted by citations
Energy system resilience – A review
Jasiūnas, J., Lund, P. D., & Mikkola, J. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111476 · Cited by 412 · see citing works
“equipment, and geographical coverage (especially for large developing countries) [132].”
BackgroundInfluential
- Authors
- Ciscar, J.-C., & Dowling, P.
- Affiliations
- European Commission (BE)
- Corresponding author
- Ciscar, Juan-Carlos
- ORCID
- Ciscar, Juan-Carlos
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 46
- Pages
- 531-538
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W2023066654
- Cited by
- 112
- References
- 2
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 14 · 2023: 15 · 2022: 5 · 2021: 17 · 2020: 8 · 2019: 7 · 2018: 10 · 2017: 11 · 2016: 8 · 2015: 2
- FWCI
- 17.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Energy Economics (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Joint Research Centre (European Commission) (submittedVersion)
- Funders
- FP7 ClimateCost research project (212774)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- climate change impacts, climate change adaptation, energy sector, integrated assessment models, power plant efficiency, peak load, cooling demand, climate extremes, energy infrastructure, research priorities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review