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

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

Energy, 2023, vol. 281, issue C

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.

Keywords: Multi-objective optimization; Multigeneration system; PV/T panel; PEM electrolyzer (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:281:y:2023:i:c:s0360544223017036

DOI: 10.1016/j.energy.2023.128309

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