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Techno-economic and reliability assessment of solar water heaters in Australia based on Monte Carlo analysis

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  • Rezvani, S.
  • Bahri, P.A.
  • Urmee, T.
  • Baverstock, G.F.
  • Moore, A.D.

Abstract

Monte Carlo analysis is used in this study to estimate the techno-economic benefits and reliabilities of solar water heaters. The study focuses on a product range manufactured by a local company in Australia. The historical data provided by the company forms the basis of this investigation. The inverse Weibull distribution function is a good match for representing the historical data in the model in terms of the number of failures per operating time for each component. The overall system reliability is determined as the sum of individual component failures during the product lifetime. The analysis is carried out for different system configurations using copper, stainless steel and glass-lined storage tanks. All the systems utilise flat plate collectors. The product with glass-lined storage tanks and electric boosters show a good overall reliability if systems are maintained.

Suggested Citation

  • Rezvani, S. & Bahri, P.A. & Urmee, T. & Baverstock, G.F. & Moore, A.D., 2017. "Techno-economic and reliability assessment of solar water heaters in Australia based on Monte Carlo analysis," Renewable Energy, Elsevier, vol. 105(C), pages 774-785.
    • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:774-785
    DOI: 10.1016/j.renene.2017.01.005
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    References listed on IDEAS

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    Cited by:

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    2. Chopra, K. & Tyagi, V.V. & Popli, Sakshi & Pandey, A.K., 2023. "Technical & financial feasibility assessment of heat pipe evacuated tube collector for water heating using Monte Carlo technique for buildings," Energy, Elsevier, vol. 267(C).
    3. Chopra, K. & Tyagi, V.V. & Pandey, A.K. & Sharma, Ravi Kumar & Sari, Ahmet, 2020. "PCM integrated glass in glass tube solar collector for low and medium temperature applications: Thermodynamic & techno-economic approach," Energy, Elsevier, vol. 198(C).
    4. Carvalho, Diego B. & Pinto, Bárbara L. & Guardia, Eduardo C. & Marangon Lima, José W., 2020. "Economic impact of anticipations or delays in the completion of power generation projects in the Brazilian energy market," Renewable Energy, Elsevier, vol. 147(P1), pages 1312-1320.
    5. Mostafaeipour, Ali & Zarezade, Marjan & Goudarzi, Hossein & Rezaei-Shouroki, Mostafa & Qolipour, Mojtaba, 2017. "Investigating the factors on using the solar water heaters for dry arid regions: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 157-166.
    6. Wang, Jiangjiang & Li, Meng & Ren, Fukang & Li, Xiaojing & Liu, Boxiang, 2018. "Modified exergoeconomic analysis method based on energy level with reliability consideration: Cost allocations in a biomass trigeneration system," Renewable Energy, Elsevier, vol. 123(C), pages 104-116.
    7. Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Qiao, Yaning & Zhang, Xin, 2020. "Energy performance and life cycle cost assessments of a photovoltaic/thermal assisted heat pump system," Energy, Elsevier, vol. 206(C).
    8. Nourpour, Mohsen & Khoshgoftar Manesh, Mohammad Hasan, 2023. "Availability and 6E assessment and optimal design of a novel cogeneration system based on integrated turbo compressor station - SOFC-solar-geothermal-steam and organic Rankine cycles with machine lear," Renewable Energy, Elsevier, vol. 215(C).
    9. Naspolini, Helena F. & Rüther, Ricardo, 2019. "Impacts of the active power demand measurement-time resolution on the financial attractiveness of domestic solar hot water systems," Renewable Energy, Elsevier, vol. 139(C), pages 336-345.

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