Unlocking heat pump flexibility: A multi-objective optimisation approach for self sufficiency and energy costs

• Multi-objective optimisation for local demand-side management. • Energy costs and self-sufficiency are jointly optimised within in one cost function. • Optimisation leverages energy prices for local demand −side management. • Market- vs. grid-oriented optimisation objectives are mutually combined. • Flexible heat pump operation and energy storages reduces local grid loads overall. The global energy landscape is undergoing a transformative shift towards cleaner, more sustainable, and renewable energy sources. However, the intermittent nature of renewable energy sources, limited storage capacity, and grid transport constraints introduce significant fluctuations in electricity supply and demand. To maintain grid stability and resilience, advanced flexibility measures are required, particularly in medium- to low-voltage networks. Heat pumps, when combined with thermal energy storage, present a promising solution by providing a controllable and adaptive load that aligns with grid conditions. This study explores the theoretical potential of flexible heat pump operation for heating in decentralised energy systems as a strategy for enhancing renewable energy integration and reducing local grid loads. In contrast to previous research that focuses on system design and sizing, this work emphasises optimal operational strategies through a multi-objective optimisation framework. A mixed-integer linear programming based multi-objective optimisation model is developed to simultaneously minimise household energy costs and alleviate strain on the low-voltage grid by optimising the degree of self-sufficiency. The framework incorporates various electrical and thermal synthetic load profiles, building types, living scenarios, photovoltaic system sizes, predefined heat pumps and energy storage capacities. Findings show that leveraging day-ahead energy prices as a demand-response strategy effectively manages price volatility, prevents grid peak loads and consumption, and increases degree of self-sufficiency while reducing energy costs. Results further indicate that the most significant benefits were achieved when using thermal energy storage and heat pumps as primary flexibility measures.

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Publication Details

Journal
Energy Conversion and Management
Published
2025-05-02
DOI
https://doi.org/10.1016/j.enconman.2025.119822
Citations
3
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
2.19

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article

Unlocking heat pump flexibility: A multi-objective optimisation approach for self sufficiency and energy costs

Shama Naz Islam, Christopher Gradwohl, Thomas Kienberger, Dan Cornelius Maxim
3 citations
Energy Conversion and Management
Integrated Energy Systems Optimization
2.19
article

Unlocking heat pump flexibility: A multi-objective optimisation approach for self sufficiency and energy costs

Shama Naz Islam, Christopher Gradwohl, Thomas Kienberger, Dan Cornelius Maxim
article en
3 citations

Abstract

• Multi-objective optimisation for local demand-side management. • Energy costs and self-sufficiency are jointly optimised within in one cost function. • Optimisation leverages energy prices for local demand −side management. • Market- vs. grid-oriented optimisation objectives are mutually combined. • Flexible heat pump operation and energy storages reduces local grid loads overall. The global energy landscape is undergoing a transformative shift towards cleaner, more sustainable, and renewable energy sources. However, the intermittent nature of renewable energy sources, limited storage capacity, and grid transport constraints introduce significant fluctuations in electricity supply and demand. To maintain grid stability and resilience, advanced flexibility measures are required, particularly in medium- to low-voltage networks. Heat pumps, when combined with thermal energy storage, present a promising solution by providing a controllable and adaptive load that aligns with grid conditions. This study explores the theoretical potential of flexible heat pump operation for heating in decentralised energy systems as a strategy for enhancing renewable energy integration and reducing local grid loads. In contrast to previous research that focuses on system design and sizing, this work emphasises optimal operational strategies through a multi-objective optimisation framework. A mixed-integer linear programming based multi-objective optimisation model is developed to simultaneously minimise household energy costs and alleviate strain on the low-voltage grid by optimising the degree of self-sufficiency. The framework incorporates various electrical and thermal synthetic load profiles, building types, living scenarios, photovoltaic system sizes, predefined heat pumps and energy storage capacities. Findings show that leveraging day-ahead energy prices as a demand-response strategy effectively manages price volatility, prevents grid peak loads and consumption, and increases degree of self-sufficiency while reducing energy costs. Results further indicate that the most significant benefits were achieved when using thermal energy storage and heat pumps as primary flexibility measures.

Energy Conversion and ManagementVol. 334
Deakin University (AU), Montanuniversität Leoben (AT)
H2020 Marie Skłodowska-Curie Actions, HORIZON EUROPE Marie Sklodowska-Curie Actions
Affordable and clean energy
Openalex Percentile: Top 12%
Integrated Energy Systems Optimization
2.19
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