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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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Science China(Technological Sciences) 2022年第11期65卷 2703-2722页

作者： MOHTARAM Soheil WU WeiDong aryanfar yashar ABRISHAMI Arya OMIDI Mohammad YANG QiGuo GARCIA ALCARAZ Jorge Luis CHEN YongBao School of Energy and Power Engineering University of Shanghai for Science and Technology Shanghai 20093China Department of Electric Engineering and Computation Autonomous University of Ciudad JudrezJuarezChihuahuaMexico School of Aerospace Engineering Tsinghua University Bejing 100084China School of Energy and Power Engineering Dalian University of TechnologyDalian116024China Depariment of Industrial Engineering and Manufacturing Autonomous University of Ciudad JudrezJudrezChihuahuaMexico

This research paper aims to perform dynamics analysis,3E assessment including energy,exergy,exergoeconomic,and the multiobjective 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.

关键词： solar absorption refrigeration water-lithium bromide thermodynamics performance exergy analysis multi-objective optimization

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Optimization of a Single Flash Geothermal Power Plant Powered by a Trans-Critical Carbon Dioxide Cycle Using Genetic Algorithm and Nelder-Mead Simplex Method

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Energy Engineering 2023年第2期120卷 263-275页

作者： yashar aryanfar Jorge Luis García Alcaraz Department of Electric Engineering and Computation Autonomous University of Ciudad JuárezCiudad JuárezChihuahuaMéxico Department of Industrial Engineering and Manufacturing Autonomous University of Ciudad JuárezCiudad JuárezChihuahuaMéxico

The usage of renewable energies,including geothermal energy,is expanding rapidly worldwide.The low efficiency of geothermal cycles has consistently highlighted the importance of recovering heat loss for these cycles.This paper proposes a combined power generation cycle(single flash geothermal cycle with trans-critical CO_(2) cycle)and simulates in the EES(Engineering Equation Solver)software.The results show that the design parameters of the proposed system are significantly improved compared to the BASIC single flash cycle.Then,the proposed approach is optimized using the genetic algorithm and the Nelder-Mead Simplex method.Separator pressure,steam turbine output pressure,and CO_(2) turbine inlet pressure are three assumed variable parameters,and exergy efficiency is the target parameter.In the default operating mode,the system exergy efficiency was 32%,increasing to 39%using the genetic algorithm and 37%using the Nelder-Mead method.

关键词： Optimization geothermal genetic algorithm Nelder-Mead simplex exergy efficiency

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