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.

Magnus Korpås

WP3 Lead
+47 970 42 009
Magnus Korpås
WP3 Lead


Reference in CINELDI