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Impact of COVID-19 on Electricity Demand: Deriving Minimum States of System Health for Studies on Resilience

1
Institute of Networked Energy Systems, German Aerospace Center (DLR), 70563 Stuttgart, Germany
2
Institute for Computational Physics, University of Stuttgart, 70569 Stuttgart, Germany
3
Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), University of Stuttgart, 70569 Stuttgart, Germany
*
Authors to whom correspondence should be addressed.
Academic Editor: Vladimir Sreckovic
Received: 25 May 2021 / Revised: 11 July 2021 / Accepted: 11 July 2021 / Published: 16 July 2021
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. View Full-Text
Keywords: energy modelling; energy planning; COVID-19; energy demand; resilience; remote-working energy modelling; energy planning; COVID-19; energy demand; resilience; remote-working
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MDPI and ACS Style

Manjunath, S.; Yeligeti, M.; Fyta, M.; Haas, J.; Gils, H.-C. Impact of COVID-19 on Electricity Demand: Deriving Minimum States of System Health for Studies on Resilience. Data 2021, 6, 76. https://doi.org/10.3390/data6070076

AMA Style

Manjunath S, Yeligeti M, Fyta M, Haas J, Gils H-C. Impact of COVID-19 on Electricity Demand: Deriving Minimum States of System Health for Studies on Resilience. Data. 2021; 6(7):76. https://doi.org/10.3390/data6070076

Chicago/Turabian Style

Manjunath, Smruti, Madhura Yeligeti, Maria Fyta, Jannik Haas, and Hans-Christian Gils. 2021. "Impact of COVID-19 on Electricity Demand: Deriving Minimum States of System Health for Studies on Resilience" Data 6, no. 7: 76. https://doi.org/10.3390/data6070076

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