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Impact of different improvement measures on the thermal performance of a solar collector field for district heating

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  • Bava, Federico
  • Furbo, Simon

Abstract

The paper describes the impact of different measures to improve the thermal performance of a solar heating plant for district heating applications. The impact of the different measures was evaluated through a validated TRNSYS-Matlab model. The model included details such as effect of the flow regime in the absorber pipes on the collector efficiency, flow distribution in the collector field, thermal capacity of the pipes and shadows from row to row. The improvement measures included variation of the operating temperatures, accurate input to the control strategy, feedback control on the outlet temperature of the collector field, control strategy based on weather forecast and use of different heat transfer fluids. The results showed that accurate input to the control strategy improved the yearly energy output of the plant by about 3%. If accurate input is not technically or economically feasible, a feedback control on the field outlet temperature seemed to be a valid alternative. The integration of weather forecast in the control strategy did not give relevant improvements. Higher glycol concentrations in the solar collector fluid gave better results than lower concentrations, as the higher frost protection guaranteed by the former outweighed the better thermophysical properties of the latter.

Suggested Citation

  • Bava, Federico & Furbo, Simon, 2018. "Impact of different improvement measures on the thermal performance of a solar collector field for district heating," Energy, Elsevier, vol. 144(C), pages 816-825.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:816-825
    DOI: 10.1016/j.energy.2017.12.025
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    References listed on IDEAS

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    1. Biencinto, Mario & González, Lourdes & Valenzuela, Loreto, 2016. "A quasi-dynamic simulation model for direct steam generation in parabolic troughs using TRNSYS," Applied Energy, Elsevier, vol. 161(C), pages 133-142.
    2. Bava, Federico & Furbo, Simon, 2017. "Development and validation of a detailed TRNSYS-Matlab model for large solar collector fields for district heating applications," Energy, Elsevier, vol. 135(C), pages 698-708.
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    Cited by:

    1. Tschopp, Daniel & Tian, Zhiyong & Berberich, Magdalena & Fan, Jianhua & Perers, Bengt & Furbo, Simon, 2020. "Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria," Applied Energy, Elsevier, vol. 270(C).
    2. Fathabadi, Hassan, 2020. "Novel solar collector: Evaluating the impact of nanoparticles added to the collector’s working fluid, heat transfer fluid temperature and flow rate," Renewable Energy, Elsevier, vol. 148(C), pages 1165-1173.
    3. Song, Yuhui & Wang, Jiaxing & Zhang, Junli & Li, Yiguo, 2024. "Temperature homogenization control of parabolic trough solar collector field based on hydraulic calculation and extended Kalman filter," Renewable Energy, Elsevier, vol. 226(C).
    4. Ilze Polikarpova & Roberts Kakis & Ieva Pakere & Dagnija Blumberga, 2021. "Optimizing Large-Scale Solar Field Efficiency: Latvia Case Study," Energies, MDPI, vol. 14(14), pages 1-13, July.

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