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New optimized configuration for a hybrid PVT solar/electrolyzer/absorption chiller system utilizing the response surface method as a machine learning technique and multi-objective optimization

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  • Assareh, Ehsanolah
  • Mousavi Asl, Seyed Sajad
  • Agarwal, Neha
  • Ahmadinejad, Mehrdad
  • Ghodrat, Maryam
  • Lee, Moonyong

Abstract

The presented study examined the multigenerational power, cooling, heating, and hydrogen systems in coastal areas using thermodynamic and economic modeling and multiobjective optimization tools. The organic Rankine cycle (ORC), water heater, proton-exchange membrane (PEM) electrolyzer, absorption chiller, and photovoltaic (PV/T) panel were all included in a case study that was carried out in four different regions. In the EES, the suggested system was thermodynamically modeled. By utilizing the surface response (RSM) methodology, multi-objective optimization was carried out to identify the ideal PV/T area, turbine efficiency, evaporator pinch point, pump efficiency, and turbine input temperature. The ideal cost rate and exergy efficiency were 1.299 USD/h and 19.100%, respectively. The feasibility of the suggested module was studied in coastal areas of San Francisco (America), Dubai (Asia), Barcelona (Europe), and Melbourne (Oceania). Finally, the system's effectiveness in providing the power, cooling, and heating demands of a two-floor two-unit building during the year was evaluated.

Suggested Citation

  • Assareh, Ehsanolah & Mousavi Asl, Seyed Sajad & Agarwal, Neha & Ahmadinejad, Mehrdad & Ghodrat, Maryam & Lee, Moonyong, 2023. "New optimized configuration for a hybrid PVT solar/electrolyzer/absorption chiller system utilizing the response surface method as a machine learning technique and multi-objective optimization," Energy, Elsevier, vol. 281(C).
    • Handle: RePEc:eee:energy:v:281:y:2023:i:c:s0360544223017036
    DOI: 10.1016/j.energy.2023.128309
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