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Multi-objective evolutionary optimization and thermodynamics performance assessment of a novel time-dependent solar Li-Br absorption refrigeration cycle

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Abstract

This research paper aims to perform dynamics analysis, 3E assessment including energy, exergy, exergoeconomic, and the multi-objective evolutionary optimization on a novel solar Li-Br absorption refrigeration cycle. The research is time-dependent, owing to solar radiation variability during different timelines. Theoretically, all the necessary thermodynamic, energy, and exergy equations are applied initially. This is followed by the thermoeconomic analysis, which takes place after defining the designing variables during the thermoeconomic optimization process and is presented together with the economic relations of the system and its thermoeconomic characteristics. Furthermore, the sensitivity analysis is undertaken, the source of system inefficiency is determined, the multi-objective evolutionary optimization of the whole system is carried out, and the optimal values are compared with the primary stage. Engineering Equation Solver (EES) software has been used to accomplish comprehensive analyses. As part of the validation process, the results of the research are compared with those published previously and are found to be relatively consistent.

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Correspondence to WeiDong Wu.

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This work was supported by the National Natural Science Foundation of China (Grant No. 52176016).

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Mohtaram, S., Wu, W., Aryanfar, Y. et al. Multi-objective evolutionary optimization and thermodynamics performance assessment of a novel time-dependent solar Li-Br absorption refrigeration cycle. Sci. China Technol. Sci. 65, 2703–2722 (2022). https://doi.org/10.1007/s11431-022-2147-3

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  • DOI: https://doi.org/10.1007/s11431-022-2147-3

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