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Flattening the peak demand curve through energy efficient buildings: A holistic approach towards net-zero carbon

Akhmetov, Yerbol; Fedotova, Ekaterina; Frysztacki, Martha Maria ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This study employs a sector-coupled energy system model to co-optimise investments in the supply side, demand side, and efficiency improvements. Beginning with a novel validation exercise of 2023, we demonstrate that the model can accurately reproduce the energy mix with an error of less than 5%. This approach incorporates often-neglected energy carriers, such as coal, gas, and nuclear, providing a holistic view of the current energy landscape. The analysis focuses on the impact of energy efficiency measures and building renovations on seasonal peak heating demand in Europe, featuring a pathway study that examines carbon emission targets for 2030, 2040, and 2050, while incorporating a new focus on efficiency improvements and demand-side response for the heating sector. Results indicate that reducing peak heating demand by up to 49% is cost-optimal and can facilitate annual reductions of 0.2 billion tons of greenhouse gas emissions by 2030, exceeding current emissions targets by 10%. Additionally, the findings suggest potential savings of €44.2 billion in distribution grid investments and a 75% decrease in transmission grid congestion. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000188873
Veröffentlicht am 17.12.2025
Originalveröffentlichung
DOI: 10.1016/j.apenergy.2025.125421
Scopus
Zitationen: 6
Web of Science
Zitationen: 5
Dimensions
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2025
Sprache Englisch
Identifikator ISSN: 0306-2619
KITopen-ID: 1000188873
Erschienen in Applied Energy
Verlag Elsevier
Band 384
Seiten 125421
Schlagwörter Energy efficiency, Building renovation, Heating, Energy system modelling, Sector coupling, Optimisation
Nachgewiesen in Scopus
Web of Science
OpenAlex
Dimensions
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