This recorded webinar discusses how policy analysts have monitored energy efficiency trends and policy impacts during the Covid-19 crisis. On one hand, novel data sources have made analysing changes during the crisis much easier. On the other, the crisis poses longer-term challenges for analysing policy impacts, particularly due to large changes in time series data.
This is illustrated with results from the IEA’s Energy Efficiency 2020 report, as well as analyses done by IEA’s Energy Data Centre (EDC).
Date & time
March 25, 2021 - 11h00 - 12h00
- Jeremy SUNG, IEA
- Florian Mante, IEA
- Mathilde Daugy, IEA
- Louis Chambeau, IEA
Further reading materials
IEA Energy Efficiency 2020 report:
IEA Energy Efficiency Indicators 2020 report:
Proceedings of the 4th workshop of the G20 Energy End-Use Data and Energy Efficiency Metrics initiative:
Questions received during the webinar
 Will we get the presentation?
 Do you have examples where the new sources of data you described would have been used to evaluate the impacts from a policy?
 Normally, the more energy efficient buildings are, the less their consumption is weather-dependent (in absolute terms). Is it possible to observe such trends already?
 The speaker mentioned that IEA is collecting energy data automatically, instead of using man power. I am curious if you are using available software in the market , eg Tableau, or you’re your own code, eg Python?
 In the comparison between two regions where one introduces an energy policy, in the case where the difference in energy efficiency would be <0, does the data allow analysis of specific rebound effects, or other explanations?