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Multi-objective optimization of solar powered adsorption chiller combined with river water heat pump system for air conditioning and space heating application

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  • Li, Rui
  • Dai, Yanjun
  • Cui, Guomin

Abstract

Multi-energy system is currently under rapid development due to their potential to reduce the use of fossil fuel resources and improve system stability. A systematic simulation-based, multi-objective optimization model of for solar hybrid heat pump heating and cooling system is presented. A combined energy, economic and environmental analysis of the system is conducted to calculate the primary energy use as well as the levelized total annual cost. A multi-objective optimization model is formulated using a genetic algorithm to simultaneously minimize these objective. Linear programming technique for multidimensional analysis of preference (LINMAP) is used to select the optimal point from the Pareto front. A sensitivity analysis is also performed to assess the influence of fuel cost, capital cost of innovative components and the annual interest rate on the Pareto front of the optimal solution.

Suggested Citation

  • Li, Rui & Dai, Yanjun & Cui, Guomin, 2019. "Multi-objective optimization of solar powered adsorption chiller combined with river water heat pump system for air conditioning and space heating application," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318365
    DOI: 10.1016/j.energy.2019.116141
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    References listed on IDEAS

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    Cited by:

    1. Rui Li & Guomin Cui, 2022. "Comprehensive Performance Evaluation of a Dual-Function Active Solar Thermal Façade System Based on Energy, Economic and Environmental Analysis in China," Energies, MDPI, vol. 15(11), pages 1-19, June.
    2. Sui, Yunren & Lin, Haosheng & Ding, Zhixiong & Li, Fuxiang & Sui, Zengguang & Wu, Wei, 2024. "Compact, efficient, and affordable absorption Carnot battery for long-term renewable energy storage," Applied Energy, Elsevier, vol. 357(C).
    3. Zurita, Adriana & Mata-Torres, Carlos & Cardemil, José M. & Guédez, Rafael & Escobar, Rodrigo A., 2021. "Multi-objective optimal design of solar power plants with storage systems according to dispatch strategy," Energy, Elsevier, vol. 237(C).
    4. Afzal, Asif & Buradi, Abdulrajak & Jilte, Ravindra & Shaik, Saboor & Kaladgi, Abdul Razak & Arıcı, Muslum & Lee, Chew Tin & Nižetić, Sandro, 2023. "Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Wang, Qiaochu & Ding, Yan & Kong, Xiangfei & Tian, Zhe & Xu, Linrui & He, Qing, 2022. "Load pattern recognition based optimization method for energy flexibility in office buildings," Energy, Elsevier, vol. 254(PC).
    6. Chauhan, P.R. & Kaushik, S.C. & Tyagi, S.K., 2022. "Current status and technological advancements in adsorption refrigeration systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

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