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Design optimization of the solar heating system for office buildings based on life cycle cost in Qinghai-Tibet plateau of China

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  • Liu, Yanfeng
  • Zhao, Yiting
  • Chen, Yaowen
  • Wang, Dengjia
  • Li, Yong
  • Yuan, Xipeng

Abstract

The Qinghai-Tibet Plateau is rich in solar energy resources (SER), and the operation conditions of office buildings are consistent with the daily fluctuations in solar radiation. Solar heating for office buildings on the plateau has great potential. To obtain the optimal capacity ratio of solar heating system (SHS) for office buildings in plateau area, an optimization model of SHS capacity matching was established. The minimum life cycle cost (LCC) was taken as the objective function, and collector area, tank volume and auxiliary heat source (AHS) power as the decision variables in the model. The Qinghai-Tibet plateau was divided into five typical regions, and optimization was carried out for each region. The results show that the system LCC optimized by the intermittent heating load is 12% lower than that calculated by the average intermittent heating load and 44% lower than that calculated by the average parameter method for Lhasa. From an economic perspective, the AHS is suitable for electric boilers or gas boilers in regions with rich or general SER and cold regions with abundant SER. The AHS is suitable for electric boilers, air source heat pumps, or gas boilers in severely cold regions with abundant SER.

Suggested Citation

  • Liu, Yanfeng & Zhao, Yiting & Chen, Yaowen & Wang, Dengjia & Li, Yong & Yuan, Xipeng, 2022. "Design optimization of the solar heating system for office buildings based on life cycle cost in Qinghai-Tibet plateau of China," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222001918
    DOI: 10.1016/j.energy.2022.123288
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    Cited by:

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    2. He, Xianya & Huang, Jingzhi & Liu, Zekun & Lin, Jian & Jing, Rui & Zhao, Yingru, 2023. "Topology optimization of thermally activated building system in high-rise building," Energy, Elsevier, vol. 284(C).
    3. Fernando García-Muñoz & Miguel Alfaro & Guillermo Fuertes & Manuel Vargas, 2022. "DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System," Energies, MDPI, vol. 15(12), pages 1-16, June.
    4. Nie, Yazhou & Deng, Mengsi & Shan, Ming & Yang, Xudong, 2023. "Clean and low-carbon heating in the building sector of China: 10-Year development review and policy implications," Energy Policy, Elsevier, vol. 179(C).
    5. Liu, Yanfeng & Tang, Huanlong & Chen, Yaowen & Wang, Dengjia & Song, Cong, 2022. "Optimization of layout and diameter for distributed solar heating network with multi-source and multi-sink," Energy, Elsevier, vol. 258(C).
    6. Zhang, Tianhu & Wang, Fuxi & Gao, Yi & Liu, Yuanjun & Guo, Qiang & Zhao, Qingxin, 2023. "Optimization of a solar-air source heat pump system in the high-cold and high-altitude area of China," Energy, Elsevier, vol. 268(C).
    7. Gyatso, Ngawang & Li, Ye & Gao, Zhiteng & Wang, Qiang & Li, Shoutu & Yin, Qiang & Chen, Junbo & Jin, Peng & Liu, Zhengshu & Ma, Zengyi & Chen, Xuefeng & Feng, Jiajia & Dorje,, 2023. "Wind power performance assessment at high plateau region: A case study of the wind farm field test on the Qinghai-Tibet plateau," Applied Energy, Elsevier, vol. 336(C).

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