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A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings

Gbemi Oluleye, John Allison, Graeme Hawker, Nick Kelly and Adam D. Hawkes

Applied Energy, 2018, vol. 228, issue C, 215-228

Abstract: Coupling the electricity and heat sectors is receiving interest as a potential source of flexibility to help absorb surplus renewable electricity. The flexibility afforded by power-to-heat systems in dwellings has yet to be quantified in terms of time, energy and costs, and especially in cases where homeowners are heterogeneous prosumers. Flexibility quantification whilst accounting for prosumer heterogeneity is non-trivial. Therefore in this work a novel two-step optimization framework is proposed to quantify the potential of prosumers to absorb surplus renewable electricity through the integration of air source heat pumps and thermal energy storage. The first step is formulated as a multi-period mixed integer linear programming problem to determine the optimal energy system, and the quantity of surplus electricity absorbed. The second step is formulated as a linear programming problem to determine the price a prosumer will accept for absorbing surplus electricity, and thus the number of active prosumers in the market.

Keywords: Demand-side response; Surplus electricity; Air source heat pump; Flexibility; Power-to-heat; Thermal energy storage (search for similar items in EconPapers)
Date: 2018
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