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Residential solar water heaters in Brisbane, Australia: Key performance parameters and indicators

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  • Vieira, Abel S.
  • Stewart, Rodney A.
  • Lamberts, Roberto
  • Beal, Cara D.

Abstract

A multi-parametric sensitivity analysis of Solar Water Heater (SWH) systems was undertaken for the city of Brisbane in Australia using computational models calibrated by experimental data. The models were calculated using EnergyPlus 8.6. The following technical specification parameters were assessed in the modelling: (i) solar collector efficiency; (ii) solar collector area; (iii) tank volume; (iv) tank heat loss; (v) electric back-up heating power rate; (vi) electric back-up heating position (height) for vertical tanks; and (vii) electric back-up heating temperature range. The site-specific parameters included: (i) solar collector direction; (ii) solar collector tilt angle; (iii) solar collector shadowing; (iv) solar collector dust accumulation; (v) hot water pipe insulation; (vi) hot water pipe length; (vii) electricity tariff time-of-use; and (viii) cold water temperature. User behaviour patterns were comprised of the following parameters: (i) end-use water temperature; (ii) end-use water demand; and (iii) end-use time-of-use. For all parameters, two system types were assessed, namely: (i) thermosiphon systems with natural (passive) circulation in collectors and unstratified horizontal hot water storage tanks; and (ii) split systems with forced (pumped) circulation in collectors and stratified vertical hot water storage tanks. The performance of SWHs was analysed considering both energy performance indicators (i.e. total and peak-hour energy consumption, solar fraction and energy intensity) and level of service indicators (i.e. compliance with recommended hot water temperatures for Legionella spp. control and comfort levels). Notwithstanding the prevalence of thermosiphon systems among SWH technologies, results indicate that split systems usually outperformed thermosiphon systems both in terms of energy efficiency and level of service, and hence should be a preferred option for energy efficiency initiatives and policies.

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  • Vieira, Abel S. & Stewart, Rodney A. & Lamberts, Roberto & Beal, Cara D., 2018. "Residential solar water heaters in Brisbane, Australia: Key performance parameters and indicators," Renewable Energy, Elsevier, vol. 116(PA), pages 120-132.
    • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:120-132
    DOI: 10.1016/j.renene.2017.09.054
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    References listed on IDEAS

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    2. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning," Applied Energy, Elsevier, vol. 318(C).
    3. Casanovas-Rubio, Maria del Mar & Armengou, Jaume, 2018. "Decision-making tool for the optimal selection of a domestic water-heating system considering economic, environmental and social criteria: Application to Barcelona (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 741-753.
    4. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    5. 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).
    6. He, Zhaoyu & Farooq, Abdul Samad & Guo, Weimin & Zhang, Peng, 2022. "Optimization of the solar space heating system with thermal energy storage using data-driven approach," Renewable Energy, Elsevier, vol. 190(C), pages 764-776.
    7. Junpeng Huang & Jianhua Fan & Simon Furbo & Liqun Li, 2019. "Solar Water Heating Systems Applied to High-Rise Buildings—Lessons from Experiences in China," Energies, MDPI, vol. 12(16), pages 1-26, August.

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