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Application of weather forecast in conjunction with price-based method for PCM solar passive buildings – An experimental study

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  • Barzin, Reza
  • Chen, John J.J.
  • Young, Brent R.
  • Farid, Mohammed M

Abstract

This study experimentally investigated the application of weather forecasting in combination with the price-based control method for solar passive buildings. Two identical lightweight test huts were used for the experimental study, one finished with ordinary gypsum board and the other finished with PCM-impregnated gypsum boards. Based on the experimental results, the application of weather forecast data showed significant energy saving when PCM is used. In some days, an electrical energy saving up to 90% per day was achieved using the proposed method. The results also showed that the application of inaccurate weather forecasts can significantly deteriorate performance of the control system and even lead to more energy consumption in the PCM hut.

Suggested Citation

  • Barzin, Reza & Chen, John J.J. & Young, Brent R. & Farid, Mohammed M, 2016. "Application of weather forecast in conjunction with price-based method for PCM solar passive buildings – An experimental study," Applied Energy, Elsevier, vol. 163(C), pages 9-18.
  • Handle: RePEc:eee:appene:v:163:y:2016:i:c:p:9-18
    DOI: 10.1016/j.apenergy.2015.11.016
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    References listed on IDEAS

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    3. Zuo, Hongyan & Tan, Jiqiu & Wei, Kexiang & Huang, Zhonghua & Zhong, Dingqing & Xie, Fuchun, 2021. "Effects of different poses and wind speeds on wind-induced vibration characteristics of a dish solar concentrator system," Renewable Energy, Elsevier, vol. 168(C), pages 1308-1326.
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    5. J. H. R. van Duin & H. Geerlings & L. A. Tavasszy & D. L. Bank, 2019. "Factors causing peak energy consumption of reefers at container terminals," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-17, December.
    6. Lamrani, B. & Johannes, K. & Kuznik, F., 2021. "Phase change materials integrated into building walls: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    7. Alperen Yayla & Kübra Sultan Świerczewska & Mahmut Kaya & Bahadır Karaca & Yusuf Arayici & Yunus Emre Ayözen & Onur Behzat Tokdemir, 2022. "Artificial Intelligence (AI)-Based Occupant-Centric Heating Ventilation and Air Conditioning (HVAC) Control System for Multi-Zone Commercial Buildings," Sustainability, MDPI, vol. 14(23), pages 1-29, December.
    8. Kahwaji, Samer & Johnson, Michel B. & Kheirabadi, Ali C. & Groulx, Dominic & White, Mary Anne, 2018. "A comprehensive study of properties of paraffin phase change materials for solar thermal energy storage and thermal management applications," Energy, Elsevier, vol. 162(C), pages 1169-1182.
    9. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wu, Jing & Zhang, Yelin & Wu, Zhenghong & He, Xihua, 2017. "Performance analysis of a self-adaptive building integrated photovoltaic thermoelectric wall system in hot summer and cold winter zone of China," Energy, Elsevier, vol. 140(P1), pages 584-600.
    10. Zhang, Shu & Ma, Yuxin & Li, Dong & Liu, Changyu & Yang, Ruitong, 2022. "Thermal performance of a reversible multiple-glazing roof filled with two PCM," Renewable Energy, Elsevier, vol. 182(C), pages 1080-1093.
    11. Soares, N. & Matias, T. & Durães, L. & Simões, P.N. & Costa, J.J., 2023. "Thermophysical characterization of paraffin-based PCMs for low temperature thermal energy storage applications for buildings," Energy, Elsevier, vol. 269(C).
    12. Li, Dong & Wu, Yangyang & Zhang, Guojun & Arıcı, Müslüm & Liu, Changyu & Wang, Fuqiang, 2018. "Influence of glazed roof containing phase change material on indoor thermal environment and energy consumption," Applied Energy, Elsevier, vol. 222(C), pages 343-350.

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