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Cost optimal analysis of heat pump technology adoption in residential reference buildings

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  • Aste, Niccolò
  • Adhikari, R.S.
  • Manfren, Massimiliano

Abstract

In European Union (EU) buildings consume approximately the 40% of total primary energy. Heat pump (HP) systems have proven to be an efficient and economically viable alternative to conventional systems to provide heating and cooling services in buildings. An effective penetration of this technology in the built environment is critical to achieve the ambitious goals set by the recent EU Directives on energy efficiency and energy performance of buildings. Although this technology is very versatile, its optimal design and management are related to specific climate, operational and economic conditions. The research presented aims to evaluate the performance of technical solutions for heating and cooling in residential buildings, using a “reference building” methodology. The comparison involves performance indicators such as primary energy consumption, CO2 emission and net present cost.

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  • Aste, Niccolò & Adhikari, R.S. & Manfren, Massimiliano, 2013. "Cost optimal analysis of heat pump technology adoption in residential reference buildings," Renewable Energy, Elsevier, vol. 60(C), pages 615-624.
  • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:615-624
    DOI: 10.1016/j.renene.2013.06.013
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    2. Naylor, Shawn & Ellett, Kevin M. & Gustin, Andrew R., 2015. "Spatiotemporal variability of ground thermal properties in glacial sediments and implications for horizontal ground heat exchanger design," Renewable Energy, Elsevier, vol. 81(C), pages 21-30.
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    4. Xingchi Shen & Yueming Lucy Qiu & Pengfei Liu & Anand Patwardhan, 2022. "The Effect of Rebate and Loan Incentives on Residential Heat Pump Adoption: Evidence from North Carolina," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 741-789, July.
    5. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    6. Liu, Yin & Ma, Jing & Zhou, Guanghui & Zhang, Chao & Wan, Wenlei, 2016. "Performance of a solar air composite heat source heat pump system," Renewable Energy, Elsevier, vol. 87(P3), pages 1053-1058.
    7. Pavel Pauli & Pavel Neuberger & Radomír Adamovský, 2016. "Monitoring and Analysing Changes in Temperature and Energy in the Ground with Installed Horizontal Ground Heat Exchangers," Energies, MDPI, vol. 9(8), pages 1-13, July.
    8. Baglivo, Cristina & Congedo, Paolo Maria & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal analysis and technical comparison between standard and high efficient mono-residential buildings in a warm climate," Energy, Elsevier, vol. 83(C), pages 560-575.
    9. Pinamonti, Maria & Baggio, Paolo, 2020. "Energy and economic optimization of solar-assisted heat pump systems with storage technologies for heating and cooling in residential buildings," Renewable Energy, Elsevier, vol. 157(C), pages 90-99.
    10. Szalay, Zsuzsa & Zöld, András, 2014. "Definition of nearly zero-energy building requirements based on a large building sample," Energy Policy, Elsevier, vol. 74(C), pages 510-521.
    11. Zhu, Tong & Curtis, John & Clancy, Matthew, 2023. "Modelling barriers to low-carbon technologies in energy system analysis: The example of renewable heat in Ireland," Applied Energy, Elsevier, vol. 330(PA).
    12. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    13. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 201(C), pages 332-342.
    14. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    15. Aste, Niccolò & Manfren, Massimiliano & Marenzi, Giorgia, 2017. "Building Automation and Control Systems and performance optimization: A framework for analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 313-330.
    16. Tronchin, Lamberto & Manfren, Massimiliano & James, Patrick AB., 2018. "Linking design and operation performance analysis through model calibration: Parametric assessment on a Passive House building," Energy, Elsevier, vol. 165(PA), pages 26-40.
    17. Junghans, Lars, 2015. "Evaluation of the economic and environmental feasibility of heat pump systems in residential buildings, with varying qualities of the building envelope," Renewable Energy, Elsevier, vol. 76(C), pages 699-705.
    18. Stojiljković, Mirko M. & Ignjatović, Marko G. & Vučković, Goran D., 2015. "Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization," Energy, Elsevier, vol. 92(P3), pages 420-434.
    19. Umberto Berardi & Lamberto Tronchin & Massimiliano Manfren & Benedetto Nastasi, 2018. "On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector," Energies, MDPI, vol. 11(4), pages 1-17, April.
    20. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    21. Maria Ferrara & Valentina Monetti & Enrico Fabrizio, 2018. "Cost-Optimal Analysis for Nearly Zero Energy Buildings Design and Optimization: A Critical Review," Energies, MDPI, vol. 11(6), pages 1-32, June.

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