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Integrating a thermal model of ground source heat pumps and solar regeneration within building energy system optimization

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  • Miglani, Somil
  • Orehounig, Kristina
  • Carmeliet, Jan

Abstract

The optimal design and operation of an integrated building energy system consisting of the renewable energy technologies such as ground source heat pumps (GSHPs) and solar thermal collectors, etc., is an important problem to be addressed. This paper describes a methodology for the optimization of a building energy system including a detailed thermal model of a borehole heat exchanger based GSHP. The novelty of this model is that it enables the study of dynamic temperature changes within the ground during operation. Furthermore, a model of solar thermal collectors is also included, which enables the study of solar regeneration of the ground in the short and long-term. Additionally, seven scenarios of building envelope retrofit are evaluated alongside optimal system design solutions. The methodology uses a bi-level multi-objective optimization approach, which consists of a genetic algorithm at the design level, and a mixed integer linear program at the operation level, in order to minimise the total costs and CO2 emissions. The methodology is applied to a single-family residential building in Zurich, Switzerland, in order to demonstrate its application and analyse the design and operation of the system, with special attention to the GSHP. The results indicate that in the short-term, the ground temperature reduces considerably, to almost 5 °C as compared to the initial temperature of 11.5 °C. Furthermore, solar regeneration due to excess heat in summer increases the temperature back above initial temperature. However, due to due to insufficient regeneration in the long-term, the ground temperature drops consistently to almost 4 °C at the end of 20 years of operation. On the demand-side, window retrofitting results in a 27.3% reduction in the total CO2 emissions at almost no additional costs. Retrofitting the whole building including windows, walls, roofs, and floors, is a CO2 optimal solution however, performs worst in terms of cost optimality.

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  • Miglani, Somil & Orehounig, Kristina & Carmeliet, Jan, 2018. "Integrating a thermal model of ground source heat pumps and solar regeneration within building energy system optimization," Applied Energy, Elsevier, vol. 218(C), pages 78-94.
    • Handle: RePEc:eee:appene:v:218:y:2018:i:c:p:78-94
    DOI: 10.1016/j.apenergy.2018.02.173
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    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
    2. Buker, Mahmut Sami & Riffat, Saffa B., 2016. "Solar assisted heat pump systems for low temperature water heating applications: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 399-413.
    3. Ashouri, Araz & Fux, Samuel S. & Benz, Michael J. & Guzzella, Lino, 2013. "Optimal design and operation of building services using mixed-integer linear programming techniques," Energy, Elsevier, vol. 59(C), pages 365-376.
    4. Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
    5. Retkowski, Waldemar & Thöming, Jorg, 2014. "Thermoeconomic optimization of vertical ground-source heat pump systems through nonlinear integer programming," Applied Energy, Elsevier, vol. 114(C), pages 492-503.
    6. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
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    1. Cao, Jingyu & Zheng, Ling & Peng, Jinqing & Wang, Wenjie & Leung, Michael K.H. & Zheng, Zhanying & Hu, Mingke & Wang, Qiliang & Cai, Jingyong & Pei, Gang & Ji, Jie, 2023. "Advances in coupled use of renewable energy sources for performance enhancement of vapour compression heat pump: A systematic review of applications to buildings," Applied Energy, Elsevier, vol. 332(C).
    2. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    3. Walch, Alina & Li, Xiang & Chambers, Jonathan & Mohajeri, Nahid & Yilmaz, Selin & Patel, Martin & Scartezzini, Jean-Louis, 2022. "Shallow geothermal energy potential for heating and cooling of buildings with regeneration under climate change scenarios," Energy, Elsevier, vol. 244(PB).
    4. Weeratunge, Hansani & Aditya, Gregorius Riyan & Dunstall, Simon & de Hoog, Julian & Narsilio, Guillermo & Halgamuge, Saman, 2021. "Feasibility and performance analysis of hybrid ground source heat pump systems in fourteen cities," Energy, Elsevier, vol. 234(C).
    5. Li, Chao & Guan, Yanling & Jiang, Chao & Deng, Shunxi & Lu, Zhenzhen, 2020. "Numerical study on the heat transfer, extraction, and storage in a deep-buried pipe," Renewable Energy, Elsevier, vol. 152(C), pages 1055-1066.
    6. Lee, Minwoo & Kim, Jinyoung & Shin, Hyun Ho & Cho, Wonhee & Kim, Yongchan, 2022. "CO2 emissions and energy performance analysis of ground-source and solar-assisted ground-source heat pumps using low-GWP refrigerants," Energy, Elsevier, vol. 261(PA).
    7. Fiorentini, Massimo & Heer, Philipp & Baldini, Luca, 2023. "Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage," Energy, Elsevier, vol. 262(PB).
    8. Ding, Yan & Wang, Qiaochu & Kong, Xiangfei & Yang, Kun, 2019. "Multi-objective optimisation approach for campus energy plant operation based on building heating load scenarios," Applied Energy, Elsevier, vol. 250(C), pages 1600-1617.
    9. Ma, Zhenjun & Xia, Lei & Gong, Xuemei & Kokogiannakis, Georgios & Wang, Shugang & Zhou, Xinlei, 2020. "Recent advances and development in optimal design and control of ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    10. Lee, Minwoo & Ham, Se Hyeon & Lee, Sewon & Kim, Jinyoung & Kim, Yongchan, 2023. "Multi-objective optimization of solar-assisted ground-source heat pumps for minimizing life-cycle cost and climate performance in heating-dominated regions," Energy, Elsevier, vol. 270(C).
    11. Pan, Aiqiang & McCartney, John S. & Lu, Lin & You, Tian, 2020. "A novel analytical multilayer cylindrical heat source model for vertical ground heat exchangers installed in layered ground," Energy, Elsevier, vol. 200(C).

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