- Name
- Magnus Korpås
- Title
- WP3 Lead
- Organization
Long-term value of flexibility for building operation
Challenge and objective
- To represent the long-term value of flexibility of building operation.
- Investigate how batteries (BESS), EV charger and space heating (SH) contribute to peak power reduction with a 1 month measured-peak grid tariff.
Work performed
- Created a Stochastic Dynamic Programming (SDP) framework for representing long-term value of flexibility of building operation.
- Analyzed the SDP framework for the flexible assets individually, to see their contribution to and stability on peak power reduction.
Significant results
- Generation of future cost curves capturing the cost of increasing peak power consumption.
- EV charger has the highest peak power reduction.
- Space heating contribute more on total cost-reduction than peak reduction, balancing both costs from the grid tariff and real-time pricing.
Impact for distribution system innovation
- Can give indication of value of flexibility from end-users.
Reference in CINELDI
- K.E. Thorvaldsen, S. Bjarghov, H. Farahmand: "Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming", International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2020.