Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://dx.doi.org/10.18419/opus-13225
Langanzeige der Metadaten
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Manjunath, Smruti | - |
dc.contributor.author | Yeligeti, Madhura | - |
dc.contributor.author | Fyta, Maria | - |
dc.contributor.author | Haas, Jannik | - |
dc.contributor.author | Gils, Hans-Christian | - |
dc.date.accessioned | 2023-06-26T12:10:38Z | - |
dc.date.available | 2023-06-26T12:10:38Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2306-5729 | - |
dc.identifier.other | 1852262672 | - |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-132447 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/13244 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-13225 | - |
dc.description.abstract | To assess the resilience of energy systems, i.e., the ability to recover after an unexpected shock, the system’s minimum state of service is a key input. Quantitative descriptions of such states are inherently elusive. The measures adopted by governments to contain COVID-19 have provided empirical data, which may serve as a proxy for such states of minimum service. Here, we systematize the impact of the adopted COVID-19 measures on the electricity demand. We classify the measures into three phases of increasing stringency, ranging from working from home to soft and full lockdowns, for four major electricity consuming countries of Europe. We use readily accessible data from the European Network of Transmission System Operators for Electricity as a basis. For each country and phase, we derive representative daily load profiles with hourly resolution obtained by k-medoids clustering. The analysis could unravel the influence of the different measures to the energy consumption and the differences among the four countries. It is observed that the daily peak load is considerably flattened and the total electricity consumption decreases by up to 30% under the circumstances brought about by the COVID-19 restrictions. These demand profiles are useful for the energy planning community, especially when designing future electricity systems with a focus on system resilience and a more digitalised society in terms of working from home. | en |
dc.description.sponsorship | German Federal Ministry of Economic Affairs and Energy | de |
dc.description.sponsorship | German Federal Ministry of Education and Research | de |
dc.language.iso | en | de |
dc.relation.uri | doi:10.3390/data6070076 | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | de |
dc.subject.ddc | 333.7 | de |
dc.title | Impact of COVID-19 on electricity demand : deriving minimum states of system health for studies on resilience | en |
dc.type | article | de |
dc.date.updated | 2021-08-01T14:51:08Z | - |
ubs.fakultaet | Bau- und Umweltingenieurwissenschaften | de |
ubs.fakultaet | Mathematik und Physik | de |
ubs.fakultaet | Externe wissenschaftliche Einrichtungen | de |
ubs.institut | Institut für Wasser- und Umweltsystemmodellierung | de |
ubs.institut | Institut für Computerphysik | de |
ubs.institut | Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) | de |
ubs.publikation.seiten | 20 | de |
ubs.publikation.source | Data 6 (2021), No. 76 | de |
ubs.publikation.typ | Zeitschriftenartikel | de |
Enthalten in den Sammlungen: | 14 Externe wissenschaftliche Einrichtungen |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
data-06-00076-v2.pdf | 1,1 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons