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A reliability-based optimization of membrane-type total heat exchangers under uncertain design parameters

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  • Zhang, Li-Zhi

Abstract

Membrane-type Total heat exchangers (Heat and moisture recovery ventilators) have become key components for building energy conservation. Various materials and duct structures have been proposed to find an improved energy performance and a better economic return. However most previous optimizations of total heat exchangers are limited to deterministic design parameters whereas operational flexibility and feasibility were less concerned. In the real industrial world, each system experiences various disturbances due to changes in outside weather conditions, flow rates, size errors in equipment manufacturing, as well as uncertainties in interest rates and material properties. In this research, an approach, named the SLGA (Single-loop Genetic Algorithm) is proposed for the optimization of membrane-based total heat exchangers under severe uncertain operating conditions, which are represented by the reliabilities of design guidelines. The optimization problem selects eight uncertain parameters such as material type, duct structure, exchanger size, interest rate, etc, as the input variables, and the exchanger performance like economic return, sensible and latent effectiveness are selected as the objective functions respectively. Then the probabilistic constraints are transformed into deterministic forms by a single-loop deterministic method. The discrete and non-linear optimization problem is thereafter solved by a direction-based GA (genetic algorithm).

Suggested Citation

  • Zhang, Li-Zhi, 2016. "A reliability-based optimization of membrane-type total heat exchangers under uncertain design parameters," Energy, Elsevier, vol. 101(C), pages 390-401.
    • Handle: RePEc:eee:energy:v:101:y:2016:i:c:p:390-401
    DOI: 10.1016/j.energy.2016.02.032
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    References listed on IDEAS

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    1. Zhang, L.Z & Niu, J.L, 2001. "Energy requirements for conditioning fresh air and the long-term savings with a membrane-based energy recovery ventilator in Hong Kong," Energy, Elsevier, vol. 26(2), pages 119-135.
    2. Wang, Yang & Zhao, Fu-Yun & Kuckelkorn, Jens & Liu, Di & Liu, Li-Qun & Pan, Xiao-Chuan, 2014. "Cooling energy efficiency and classroom air environment of a school building operated by the heat recovery air conditioning unit," Energy, Elsevier, vol. 64(C), pages 991-1001.
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    Cited by:

    1. Kwok Tai Chui & Wadee Alhalabi & Sally Shuk Han Pang & Patricia Ordóñez de Pablos & Ryan Wen Liu & Mingbo Zhao, 2017. "Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications," Sustainability, MDPI, vol. 9(12), pages 1-23, December.
    2. Albdoor, Ahmed K. & Ma, Zhenjun & Cooper, Paul & Ren, Haoshan & Al-Ghazzawi, Fatimah, 2020. "Thermodynamic analysis and design optimisation of a cross flow air to air membrane enthalpy exchanger," Energy, Elsevier, vol. 202(C).
    3. Albdoor, A.K. & Ma, Z. & Al-Ghazzawi, F. & Arıcı, M., 2022. "Study on recent progress and advances in air-to-air membrane enthalpy exchangers: Materials selection, performance improvement, design optimisation and effects of operating conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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