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Impact of uncertainties on the flexibility quantification of HVAC systems in buildings
In recent years, the penetration of renewable energy resources in distribution grids has been steadily increasing, raising new issues such as voltage violations or line congestions. Due to their large inertia, individual buildings may regulate their heating system to help distribution system operators alleviating these congestion.
In our previous work, we designed an energy management system that self-exports a
flexibility envelope to a system operator for system-level dispatch [1]. The envelope contains the maximal and minimal energy that the household can consume over a day. However, the impact of uncertainties on flexibility envelopes has not yet been investigated. As many uncertain parameters come into play, this project aims at assessing the accuracy of our previous quantification method.
[1] Gasser, J., Cai, H., Karagiannopoulos, S., Heer, P. and Hug, G., 2021. Predictive energy management of residential buildings while self-reporting flexibility envelope. Applied
Energy, 288, p.116653.
This project aims to analyse the sensitivity of the previously developed flexibility envelopes to various uncertainties. To do so, the student will have the chance to work on measured data, from the NEST building, located at EMPA [2].
[2] https://www.empa.ch/web/nest/overview
This project aims to analyse the sensitivity of the previously developed flexibility envelopes to various uncertainties. To do so, the student will have the chance to work on measured data, from the NEST building, located at EMPA [2].
[2] https://www.empa.ch/web/nest/overview
Tasks include, but are not limited to:
1. Conduct a review on the flexibility potential of HVAC systems in buildings.
2. Get familiar with the NEST building data.
3. Identify and model major sources of uncertainty impacting indoor climate control.
4. Conduct a sensitivity analysis of the flexibility envelope to uncertainties.
5. Analyze results and write a report.
Tasks include, but are not limited to: 1. Conduct a review on the flexibility potential of HVAC systems in buildings. 2. Get familiar with the NEST building data. 3. Identify and model major sources of uncertainty impacting indoor climate control. 4. Conduct a sensitivity analysis of the flexibility envelope to uncertainties. 5. Analyze results and write a report.
Dr. Hanmin Cai (hanmin.cai@empa.ch)
Julie Rousseau (jroussea@ethz.ch)
Dr. Hanmin Cai (hanmin.cai@empa.ch) Julie Rousseau (jroussea@ethz.ch)