Optimization of power-to-heat flexibility for residential buildings in response to day-ahead electricity price

Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and volatility of renewable energy. In the residential sector, heat pumps are economic alternatives for district heating to unlock heat flexibility i...

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Veröffentlicht in:Energy and buildings Jg. 232; S. 110665
Hauptverfasser: Golmohamadi, Hessam, Guldstrand Larsen, Kim, Gjøl Jensen, Peter, Riaz Hasrat, Imran
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Lausanne Elsevier B.V 01.02.2021
Elsevier BV
Schlagworte:
Alternative energy sources
Day-ahead market
District heating
Economic analysis
Economic models
economic MPC
Economics
Electric power systems
Electricity
Electricity consumption
Electricity pricing
Energy consumption
Flexibility
Heat consumption
Heat exchangers
Heat pump
Heat pumps
Identification methods
Occupancy
Optimization
Parameter estimation
Parameter identification
Power consumption
Predictive control
Renewable energy
Residential areas
Residential buildings
Residential energy
Thermal storage
Volatility
Day-ahead market
Heat pump
economic MPC
Flexibility
Heat consumption
ISSN:0378-7788, 1872-6178
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Zusammenfassung:Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and volatility of renewable energy. In the residential sector, heat pumps are economic alternatives for district heating to unlock heat flexibility in response to renewable power availability. This paper proposes a novel economic approach to optimize the heat consumption of a single responsive building with multiple rooms. The suggested approach makes it possible to set different temperature zones for the rooms based on the occupancy patterns. To provide power system flexibility, an Economic Model Predictive Control (EMPC) is designed. The EMPC adjusts heat consumption in response to the electricity price. Integration of the heat flexibility into the power system, two types of heat flexibilities are investigated, including thermal inertia of rooms and thermal storage of buffer. To increase the applicability of the problem, real sensor data of a Danish residential building is used to estimate the constant parameters of the thermal dynamic. To achieve the aim, a model identification method is developed to estimate the constant factors based on the maximum likelihood function. Finally, the performance of the suggested approach is examined in response to the day-ahead electricity price of the Danish Electricity Market. The results showed that the suggested approach not only ensures power system flexibility but also decreases the energy consumption cost of the building up to 37% a week.
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ISSN:0378-7788
1872-6178
DOI:10.1016/j.enbuild.2020.110665