Multi-objective thermo-economic optimization of solar parabolic dish Stirling heat engine with regenerative losses using NSGA-II and decision making |
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| Affiliation: | 1. Department of Mechanical and Automation Engineering, Amity University Haryana, Gurgaon 122413, India;2. Centre for Energy Studies, Indian Institute of Technology, Delhi, New Delhi 110016, India;3. Department of Mechanical Engineering, YMCA University of Science & Technology, Faridabad 121006, India;4. Renewable Energy Department, Amity University Haryana, Gurgaon 122413, India;1. Politecnico di Milano, Dipartimento di Energia, Via Lambruschini 4, 20156 Milano, Italy;2. National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, United States;1. Department of Electrical Engineering, Faculty of Engineering, Fayoum University, Fayoum, Egypt;2. Department of Solar Energy, Division of Engineering, National Research Centre, Dokki, Giza, Egypt;1. CS Centro Stirling S. Coop, Aretxabaleta, Spain;2. Mechanical and Manufacturing Department, Engineering Faculty, Mondragon University, Spain;3. IKERBASQUE, Basque Foundation for Science, Bilbao, Spain;4. Department of Energy, University of Oviedo, Spain;5. Department of Physics, University of Oviedo, Spain;1. School of Mechanical & Electronic Eng., Sanming University, Sanming 365004, China;2. Sanming Engineering Research Center of Mechanical CAD, Sanming 365000, China;3. Department of Microelectronic Science and Engineering, Ningbo University, Ningbo 315211, Zhejiang Province, China |
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| Abstract: | The proposed work investigates optimal values of various decision variables that simultaneously optimize power output, overall thermal efficiency and thermo-economic function of solar driven Stirling heat engine with regenerative heat losses, conducting thermal bridging losses using evolutionary algorithm based on second version of non-dominated sorting genetic algorithm (NSGA-II) in matrix laboratory (MATLAB) simulink environment. Effects of design parameters as absorber temperature, concentrating ratio, radiative and convective heat transfers are considered for the investigation. Pareto frontier is obtained for triple and dual objectives and the best optimal value is selected through four different decision making techniques viz. Fuzzy Bellman-Zadeh, Shannon’s entropy, LINMAP and TOPSIS. The optimum values of average absorber temperature and concentrating ratio are found to be 1168 K and 1300, respectively. Triple objective evolutionary approach applied to the proposed model gives power output, overall thermal efficiency and thermo-economic function as (38.96 kW, 0.2392, 0.3124) which are 17.09%, 35.09% and 10.74%, respectively lower in comparison with reversible system. With the objective of error investigation, the average and maximum error of the obtained results are reckoned at last. |
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| Keywords: | Solar energy Solar parabolic dish concentrators Finite time thermodynamics (FTT) Stirling heat engine Evolutionary algorithm Decision making methods |
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