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Solar water heating: From theory, application, marketing and research

Author

Listed:
  • Wang, Zhangyuan
  • Yang, Wansheng
  • Qiu, Feng
  • Zhang, Xiangmei
  • Zhao, Xudong

Abstract

The aim of the paper is to provide a comprehensive critical review towards the solar water heating (SWH) technology in terms of its theory, application, market potential and research questions. The theoretical issues relating to the solar water heating technology were illustrated in terms of the working principle, classification and associated mathematical expressions. The existing SWH production and engineering application were introduced and its future market potential was also predicted. Furthermore, research questions relating to the SWH were analysed involving (1) whole structure and individual components layout, sizing and optimisation; (2) thermal performance simulation and prediction; (3) laboratory based measurement compared against the modelling prediction; (4) dynamic performance evaluation through real time and on-site measurement; (5) energy saving, economic and environmental performance assessment, and social acceptance analyses; and (6) dissemination, marketing and exploitation strategies. Finally, the opportunities for the further works on the SWH were identified. This study will help understand the current status of the economic and technical developments, identify the barriers remaining to the existing solar water heating systems, develop the potential research areas to improve the performance of the systems, establish the associated strategic plans related to the design and installation of the system and promote the solar thermal global market. The study will contribute to achieving the China and international targets for energy saving, renewable energy utilisation, as well as carbon emission reduction in building sector.

Suggested Citation

  • Wang, Zhangyuan & Yang, Wansheng & Qiu, Feng & Zhang, Xiangmei & Zhao, Xudong, 2015. "Solar water heating: From theory, application, marketing and research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 68-84.
  • Handle: RePEc:eee:rensus:v:41:y:2015:i:c:p:68-84
    DOI: 10.1016/j.rser.2014.08.026
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    References listed on IDEAS

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    1. Khalifa, Abdul-Jabbar N., 1998. "Forced versus natural circulation solar water heaters: A comparative performance study," Renewable Energy, Elsevier, vol. 14(1), pages 77-82.
    2. Cassard, Hannah & Denholm, Paul & Ong, Sean, 2011. "Technical and economic performance of residential solar water heating in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3789-3800.
    3. Kalogirou, Soteris A. & Bojic, Milorad, 2000. "Artificial neural networks for the prediction of the energy consumption of a passive solar building," Energy, Elsevier, vol. 25(5), pages 479-491.
    4. Kalogirou, Soteris A., 2000. "Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural networks," Applied Energy, Elsevier, vol. 66(1), pages 63-74, May.
    5. Batidzirai, Bothwell & Lysen, Erik H. & van Egmond, Sander & van Sark, Wilfried G.J.H.M., 2009. "Potential for solar water heating in Zimbabwe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 567-582, April.
    6. Roulleau, T. & Lloyd, C.R., 2008. "International policy issues regarding solar water heating, with a focus on New Zealand," Energy Policy, Elsevier, vol. 36(6), pages 1843-1857, June.
    7. Zhai, X.Q. & Wang, R.Z. & Dai, Y.J. & Wu, J.Y. & Ma, Q., 2008. "Experience on integration of solar thermal technologies with green buildings," Renewable Energy, Elsevier, vol. 33(8), pages 1904-1910.
    8. Rittidech, S. & Donmaung, A. & Kumsombut, K., 2009. "Experimental study of the performance of a circular tube solar collector with closed-loop oscillating heat-pipe with check valve (CLOHP/CV)," Renewable Energy, Elsevier, vol. 34(10), pages 2234-2238.
    9. Nahar, N.M, 2002. "Capital cost and economic viability of thermosyphonic solar water heaters manufactured from alternate materials in India," Renewable Energy, Elsevier, vol. 26(4), pages 623-635.
    10. Zhang, Xingxing & Zhao, Xudong & Xu, Jihuan & Yu, Xiaotong, 2013. "Characterization of a solar photovoltaic/loop-heat-pipe heat pump water heating system," Applied Energy, Elsevier, vol. 102(C), pages 1229-1245.
    11. Zhai, X.Q. & Wang, R.Z., 2008. "Experiences on solar heating and cooling in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(4), pages 1110-1128, May.
    Full references (including those not matched with items on IDEAS)

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