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Performance analysis of factory-made thermosiphon solar water heating systems

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  • Vera-Medina, J.
  • Fernandez-Peruchena, C.
  • Guasumba, J.
  • Lillo-Bravo, I.

Abstract

This work studies the relative influence of the constructive characteristics of thermosiphon factory made solar heating systems of components such as absorber type, collector area, thermal insulation of both collector(s) and tank, tank volume and volume/area ratio, on the annual energy production, the annual efficiency and the solar fraction. The research has been conducted on 28 systems available in the market, tested according to Standard ISO 9459–5:2007 and simulated fo different European reference locations (Athens, Davos, Würzburg and Stockholm) according to Standard EN 12976–2:2019. The results show that reduced volume has a marked influence on the energetic and efficiency behaviour of these systems. In particular, for reduced volume values greater than 0.8, the constructive characteristics have high influence on systems behaviour. On the contrary, for reduced volume values lower than 0.8, all tested systems have a similar behaviour at the same location. The results found in this study allow optimizing the design of TSWHS, as well as selecting a specific system according to the location and a daily load volume.

Suggested Citation

  • Vera-Medina, J. & Fernandez-Peruchena, C. & Guasumba, J. & Lillo-Bravo, I., 2021. "Performance analysis of factory-made thermosiphon solar water heating systems," Renewable Energy, Elsevier, vol. 164(C), pages 1215-1229.
  • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:1215-1229
    DOI: 10.1016/j.renene.2020.10.133
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    References listed on IDEAS

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    1. Kalogirou, Soteris A & Panteliou, Sofia & Dentsoras, Argiris, 1999. "Artificial neural networks used for the performance prediction of a thermosiphon solar water heater," Renewable Energy, Elsevier, vol. 18(1), pages 87-99.
    2. Kalogirou, S.A. & Agathokleous, R. & Barone, G. & Buonomano, A. & Forzano, C. & Palombo, A., 2019. "Development and validation of a new TRNSYS Type for thermosiphon flat-plate solar thermal collectors: energy and economic optimization for hot water production in different climates," Renewable Energy, Elsevier, vol. 136(C), pages 632-644.
    3. Zerrouki, A. & Boumedien, A. & Said, N. & Tedjiza, B., 2002. "Input/output test results and long-term performance prediction of a domestic thermosiphon solar water heater in Algiers, Algeria," Renewable Energy, Elsevier, vol. 25(1), pages 153-161.
    4. Camargo Nogueira, Carlos Eduardo & Vidotto, Magno Luiz & Toniazzo, Fernando & Debastiani, Gilson, 2016. "Software for designing solar water heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 361-375.
    5. Sahin, Ahmet Z. & Uddin, Mohammed Ayaz & Yilbas, Bekir S. & Al-Sharafi, Abdullah, 2020. "Performance enhancement of solar energy systems using nanofluids: An updated review," Renewable Energy, Elsevier, vol. 145(C), pages 1126-1148.
    6. Karaghouli, A.A & Alnaser, W.E, 2001. "Experimental study on thermosyphon solar water heater in Bahrain," Renewable Energy, Elsevier, vol. 24(3), pages 389-396.
    7. Shariah, Adnan & Shalabi, Bassam, 1997. "Optimal design for a thermosyphon solar water heater," Renewable Energy, Elsevier, vol. 11(3), pages 351-361.
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    1. Lillo-Bravo, I. & Vera-Medina, J. & Fernandez-Peruchena, C. & Perez-Aparicio, E. & Lopez-Alvarez, J.A. & Delgado-Sanchez, J.M., 2023. "Random Forest model to predict solar water heating system performance," Renewable Energy, Elsevier, vol. 216(C).

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