Projects per year
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. A case study of 445 prosumers is presented to illustrate the approach. Results show that the number of active prosumers is affected by the quantity of absorbed electricity, frequency of requests, the price offered by aggregators and how prosumers determine the acceptable value of flexibility provided. This study is a step towards reducing the need for renewable curtailment and increasing pricing transparency in relation to demand-side response.
Original language | English |
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Pages (from-to) | 215-228 |
Number of pages | 14 |
Journal | Applied Energy |
Volume | 228 |
Early online date | 23 Jun 2018 |
DOIs | |
Publication status | Published - 15 Oct 2018 |
Keywords
- air source heat pump
- demand-side response
- flexibility
- power-to-heat
- surplus electricity
- thermal energy storage
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Dive into the research topics of 'A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings'. Together they form a unique fingerprint.Projects
- 1 Finished
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FITS-LCD: Fabric Integrated Thermal Storage for Low-Carbon Dwellings
Kelly, N., Bell, K., Clarke, J. A., Strachan, P., Tuohy, P. G. & Hawker, G.
EPSRC (Engineering and Physical Sciences Research Council)
1/04/16 → 31/03/19
Project: Research
Datasets
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OccDem - a program to generate statistically-based occupancy and occupant-driven electrical demand profiles.
Flett, G. H. (Creator) & Kelly, N. (Contributor), University of Strathclyde, 2 Mar 2021
DOI: 10.15129/ec5a8dc0-def2-4a07-bf53-a8deefcfcc99
Dataset