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.
| Language | English |
|---|---|
| Pages | 215-228 |
| Number of pages | 14 |
| Journal | Applied Energy |
| Volume | 228 |
| Early online date | 23 Jun 2018 |
| DOIs | |
| Publication status | Published - 15 Oct 2018 |
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Keywords
- air source heat pump
- demand-side response
- flexibility
- power-to-heat
- surplus electricity
- thermal energy storage
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A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings. / Oluleye, Gbemi; Allison, John; Hawker, Graeme; Kelly, Nick; Hawkes, Adam D.
In: Applied Energy, Vol. 228, 15.10.2018, p. 215-228.Research output: Contribution to journal › Article
TY - JOUR
T1 - A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings
AU - Oluleye, Gbemi
AU - Allison, John
AU - Hawker, Graeme
AU - Kelly, Nick
AU - Hawkes, Adam D.
PY - 2018/10/15
Y1 - 2018/10/15
N2 - 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.
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.
KW - air source heat pump
KW - demand-side response
KW - flexibility
KW - power-to-heat
KW - surplus electricity
KW - thermal energy storage
UR - http://www.scopus.com/inward/record.url?scp=85048882465&partnerID=8YFLogxK
UR - https://sciencedirect.com/journal/applied-energy
U2 - 10.1016/j.apenergy.2018.06.072
DO - 10.1016/j.apenergy.2018.06.072
M3 - Article
VL - 228
SP - 215
EP - 228
JO - Applied Energy
T2 - Applied Energy
JF - Applied Energy
SN - 0306-2619
ER -