Imperial College London

DrAdamHawkes

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 9300a.hawkes

 
 
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Assistant

 

Ms Quasirat Hasnat +44 (0)20 7594 7250

 
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Location

 

C502Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Oluleye:2018:10.1016/j.apenergy.2018.06.072,
author = {Oluleye, OO and Allison, J and Hawker, G and Kelly, N and Hawkes, A},
doi = {10.1016/j.apenergy.2018.06.072},
journal = {Applied Energy},
pages = {215--228},
title = {A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings},
url = {http://dx.doi.org/10.1016/j.apenergy.2018.06.072},
volume = {228},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Oluleye,OO
AU - Allison,J
AU - Hawker,G
AU - Kelly,N
AU - Hawkes,A
DO - 10.1016/j.apenergy.2018.06.072
EP - 228
PY - 2018///
SN - 0306-2619
SP - 215
TI - A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings
T2 - Applied Energy
UR - http://dx.doi.org/10.1016/j.apenergy.2018.06.072
UR - http://hdl.handle.net/10044/1/61564
VL - 228
ER -