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Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings

Author

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  • Alessia Arteconi

    (Università eCampus, via Isimbardi 10, 22060 Novedrate (CO), Italy)

  • Fabio Polonara

    (Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica delle Marche, via brecce bianche 1, 60131 Ancona, Italy)

Abstract

The energy demand in buildings represents a considerable share of the overall energy use. Given the significance and acknowledged flexibility of thermostatically controlled loads, they represent an interesting option for the implementation of demand side management (DSM) strategies. In this paper, an overview of the possible DSM applications in the field of air conditioning and heat pumps is provided. In particular, the focus is on the heat pump sector. Three case studies are analyzed in order to assess the energy flexibility provided by DSM technologies classified as energy efficient devices, energy storage systems, and demand response programs. The load shifting potential, in terms of power and time, is evaluated by varying the system configuration. Main findings show that energy efficient devices perform strategic conservation and peak shaving strategies, energy storage systems perform load shifting, while demand response programs perform peak shaving and valley filling strategies.

Suggested Citation

  • Alessia Arteconi & Fabio Polonara, 2018. "Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings," Energies, MDPI, vol. 11(7), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1846-:d:158007
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    12. Eggimann, Sven & Hall, Jim W. & Eyre, Nick, 2019. "A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion," Applied Energy, Elsevier, vol. 236(C), pages 997-1010.
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    14. Tzinnis, Efstratios & Baldini, Luca, 2021. "Combining sorption storage and electric heat pumps to foster integration of solar in buildings," Applied Energy, Elsevier, vol. 301(C).
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    17. Simona-Vasilica Oprea & Adela Bâra & Răzvan Cristian Marales & Margareta-Stela Florescu, 2021. "Data Model for Residential and Commercial Buildings. Load Flexibility Assessment in Smart Cities," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    18. Dhirendran Munith Kumar & Pietro Catrini & Antonio Piacentino & Maurizio Cirrincione, 2023. "Integrated Thermodynamic and Control Modeling of an Air-to-Water Heat Pump for Estimating Energy-Saving Potential and Flexibility in the Building Sector," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    19. D’Ettorre, F. & Banaei, M. & Ebrahimy, R. & Pourmousavi, S. Ali & Blomgren, E.M.V. & Kowalski, J. & Bohdanowicz, Z. & Łopaciuk-Gonczaryk, B. & Biele, C. & Madsen, H., 2022. "Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    20. Hasan M. Salman & Jagadeesh Pasupuleti & Ahmad H. Sabry, 2023. "Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies," Sustainability, MDPI, vol. 15(20), pages 1-34, October.
    21. Sourav Khanna & Victor Becerra & Adib Allahham & Damian Giaouris & Jamie M. Foster & Keiron Roberts & David Hutchinson & Jim Fawcett, 2020. "Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study," Energies, MDPI, vol. 13(3), pages 1-27, January.

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