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Model predictive control for a solar assisted ground source heat pump system

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  • Weeratunge, Hansani
  • Narsilio, Guillermo
  • de Hoog, Julian
  • Dunstall, Simon
  • Halgamuge, Saman

Abstract

There has been an increased interest in cost and energy efficiency for heating, ventilation, and air conditioning systems for buildings since these are responsible for between 25% and 40% of total building energy demand. Solar assisted ground source heat pump systems which combine solar and geothermal energy are gaining attention due to their higher efficiency and greater functional diversity when compared with conventional systems. This paper presents a mixed integer linear programming approach to minimize the operational cost of a solar assisted ground source heat pump system, considering time-of-use electricity price (peak, off peak). Two types of system configurations are investigated in order to examine the effect of thermal storage in the system. Two different objectives are explored: minimizing electricity consumption and operational cost. The results indicate that the system having integrated thermal storage leads to improved peak shaving, which reduces the need for expensive peak electricity production for the grid, and has a reduction of operating cost by 7.8% when it is optimized for minimal cost.

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  • Weeratunge, Hansani & Narsilio, Guillermo & de Hoog, Julian & Dunstall, Simon & Halgamuge, Saman, 2018. "Model predictive control for a solar assisted ground source heat pump system," Energy, Elsevier, vol. 152(C), pages 974-984.
    • Handle: RePEc:eee:energy:v:152:y:2018:i:c:p:974-984
    DOI: 10.1016/j.energy.2018.03.079
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    7. Naili, Nabiha & Kooli, Sami, 2021. "Solar-assisted ground source heat pump system operated in heating mode: A case study in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
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    9. Lei Liang & Xuan Zhang & Hongbin Sun, 2021. "An Integration and Operation Framework of Geothermal Heat Pumps in Distribution Networks," Papers 2106.06665, arXiv.org.
    10. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    11. 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).
    12. Bae, Sangmu & Nam, Yujin, 2022. "Feasibility analysis for an integrated system using photovoltaic-thermal and ground source heat pump based on real-scale experiment," Renewable Energy, Elsevier, vol. 185(C), pages 1152-1166.
    13. Wang, Y. & Wang, J. & He, W., 2022. "Development of efficient, flexible and affordable heat pumps for supporting heat and power decarbonisation in the UK and beyond: Review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    14. Oscar Villegas Mier & Anna Dittmann & Wiebke Herzberg & Holger Ruf & Elke Lorenz & Michael Schmidt & Rainer Gasper, 2023. "Predictive Control of a Real Residential Heating System with Short-Term Solar Power Forecast," Energies, MDPI, vol. 16(19), pages 1-19, October.
    15. Asier Sanz & Antonio J. Martín & Ainhoa Pereda & Eduardo Román & Pedro Ibañez & Raquel Fuente, 2022. "A Solar Dually PVT Driven Direct Expansion Heat Pump One-Year Field Operation Results at Continental Climate," Energies, MDPI, vol. 15(9), pages 1-23, April.
    16. Badiei, A. & Golizadeh Akhlaghi, Y. & Zhao, X. & Shittu, S. & Xiao, X. & Li, J. & Fan, Y. & Li, G., 2020. "A chronological review of advances in solar assisted heat pump technology in 21st century," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Fan, Yi & Zhao, Xudong & Li, Jing & Cheng, Yuanda & Badiei, Ali & Zhou, Jinzhi & Yu, Min & Li, Guiqiang & Du, Zhenyu & Ji, Jie & Zhu, Zishang & Ma, Xiaoli & Bai, Huifeng & Myers, Steve, 2020. "Operational performance of a novel fast-responsive heat storage/exchanging unit (HSEU) for solar heating systems," Renewable Energy, Elsevier, vol. 151(C), pages 137-151.
    18. Han, Gwangwoo & Joo, Hong-Jin & Lim, Hee-Won & An, Young-Sub & Lee, Wang-Je & Lee, Kyoung-Ho, 2023. "Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost," Energy, Elsevier, vol. 270(C).
    19. Li, Fenglei & Chang, Zhao & Li, Xinchang & Tian, Qi, 2018. "Energy and exergy analyses of a solar-driven ejector-cascade heat pump cycle," Energy, Elsevier, vol. 165(PB), pages 419-431.
    20. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    21. 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).
    22. Chen, Yuzhu & Hua, Huilian & Wang, Jun & Lund, Peter D., 2021. "Thermodynamic performance analysis and modified thermo-ecological cost optimization of a hybrid district heating system considering energy levels," Energy, Elsevier, vol. 224(C).
    23. Davide Menegazzo & Giulia Lombardo & Sergio Bobbo & Michele De Carli & Laura Fedele, 2022. "State of the Art, Perspective and Obstacles of Ground-Source Heat Pump Technology in the European Building Sector: A Review," Energies, MDPI, vol. 15(7), pages 1-25, April.

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