Automated demand-side flexibility identification and utilization in energy optimization

Jakob Bjørnskov*, Muhyiddine Jradi, Christian Veje

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

The utilization of demand-side flexibility is vital in future energy systems where the supply-side relies on renewable energy sources. In this transition, it is widely recognized that the building sector will hold a key role in providing demand-side flexibility, being currently responsible for 40% of total energy consumption in the EU. To provide this flexibility, advanced building control must be made more accessible considering that most buildings today still use inflexible rule-based control. Currently, implementation of advanced building control is associated with cumbersome and time-consuming manual work which requires expert knowledge. In this work, a data-driven and autonomous approach is therefore proposed, in the form of three general project objectives, to overcome these barriers. Namely, building energy modelling and performance data monitoring and evaluation algorithms will be identified to support energy flexibility identification and quantification. Subsequently, an automated building flexibility methodology will be developed to form the basis for energy operational optimization. Finally, this methodology will be implemented and tested in case studies to assess the impact on the energy system operation.
Original languageEnglish
Article numberP8
JournalEnergy Informatics
Volume4
Issue numberSuppl. 1
ISSN2520-8942
Publication statusPublished - 24. Sep 2021
Event1st Energy Informatics.Academy Conference Asia - Ph.d. workshop - Sino Danish Center Sustainable Energy, Beijing, China
Duration: 28. May 202128. May 2021
Conference number: 1
https://www.energyinformatics.academy/eia-asia-2021-conference

Workshop

Workshop1st Energy Informatics.Academy Conference Asia - Ph.d. workshop
Number1
LocationSino Danish Center Sustainable Energy
Country/TerritoryChina
CityBeijing
Period28/05/202128/05/2021
Internet address

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