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Thermodynamic multi-objective optimization of a solar-dish Brayton system based on maximum power output, thermal efficiency and ecological performance

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  • Li, Yuqiang
  • Liu, Gang
  • Liu, Xianping
  • Liao, Shengming

Abstract

Solar-dish Brayton system driven by the hybrid of fossil fuel and solar energy is characterized by continuously stable operation, simplified hybridization, low system costs and high thermal efficiency. In order to enable the system to operate with its highest capabilities, a thermodynamic multi-objective optimization was performed in this study based on maximum power output, thermal efficiency and ecological performance. A thermodynamic model was developed to obtain the dimensionless power output, thermal efficiency and ecological performance, in which the imperfect performance of parabolic dish solar collector, the external irreversibility of Brayton heat engine and the conductive thermal bridging loss were considered. The combination of NSGA-II algorithm and decision makings was used to realize multi-objective optimization, where the temperatures of absorber, cooling water and working fluid, the effectiveness of hot-side heat exchanger, cold-side heat exchanger and regenerator were considered as optimization variables. Using the decision makings of Shannon Entropy, LINMAP and TOPSIS, the final optimal solutions were chosen from the Pareto frontier obtained by NSGA-II. By comparing the deviation index of each final optimal solution from the ideal solution, it is shown that the multi-objective optimization can lead to a more desirable design compared to the single-objective optimizations, and the final optimal solution selected by TOPSIS decision making presents superior performance. Moreover, the fitted curve between the optimal power output, thermal efficiency and ecological performance derived from Pareto frontier is obtained for better insight into the optimal design of the system. The sensitivity analysis shows that the optimal system performance is strongly dependent on the temperatures of absorber, cooling water and working fluid, and the effectiveness of regenerator. The results of this work offer benefits for related theoretic research and basis for solar energy industry.

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  • Li, Yuqiang & Liu, Gang & Liu, Xianping & Liao, Shengming, 2016. "Thermodynamic multi-objective optimization of a solar-dish Brayton system based on maximum power output, thermal efficiency and ecological performance," Renewable Energy, Elsevier, vol. 95(C), pages 465-473.
    • Handle: RePEc:eee:renene:v:95:y:2016:i:c:p:465-473
    DOI: 10.1016/j.renene.2016.04.052
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    1. Sogut, Oguz Salim & Durmayaz, Ahmet, 2005. "Performance optimization of a solar driven heat engine with finite-rate heat transfer," Renewable Energy, Elsevier, vol. 30(9), pages 1329-1344.
    2. Khaliq, Abdul & Kumar, Rajesh, 2005. "Finite-time heat-transfer analysis and ecological optimization of an endoreversible and regenerative gas-turbine power-cycle," Applied Energy, Elsevier, vol. 81(1), pages 73-84, May.
    3. Zhang, Yue & Lin, Bihong & Chen, Jincan, 2007. "Optimum performance characteristics of an irreversible solar-driven Brayton heat engine at the maximum overall efficiency," Renewable Energy, Elsevier, vol. 32(5), pages 856-867.
    4. Li, Yuqiang & Liao, Shengming & Rao, Zhenghua & Liu, Gang, 2014. "A dynamic assessment based feasibility study of concentrating solar power in China," Renewable Energy, Elsevier, vol. 69(C), pages 34-42.
    5. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2012. "Optimum performance of the small-scale open and direct solar thermal Brayton cycle at various environmental conditions and constraints," Energy, Elsevier, vol. 46(1), pages 42-50.
    6. Bernardos, Eva & López, Ignacio & Rodríguez, Javier & Abánades, Alberto, 2013. "Assessing the potential of hybrid fossil–solar thermal plants for energy policy making: Brayton cycles," Energy Policy, Elsevier, vol. 62(C), pages 99-106.
    7. Zheng, Shiyan & Chen, Jincan & Lin, Guoxing, 2005. "Performance characteristics of an irreversible solar-driven Braysson heat engine at maximum efficiency," Renewable Energy, Elsevier, vol. 30(4), pages 601-610.
    8. Şahi̇n, Bahri̇ & Kodal, Ali̇ & Ekmekç, İsmai̇l & Yilmaz, Tamer, 1997. "Exergy optimization for an endoreversible cogeneration cycle," Energy, Elsevier, vol. 22(5), pages 551-557.
    9. Şahi̇n, Bahri̇ & Kodal, Ali̇ & Yavuz, Hasbi̇, 1996. "Maximum power density for an endoreversible carnot heat engine," Energy, Elsevier, vol. 21(12), pages 1219-1225.
    10. Thirugnanasambandam, Mirunalini & Iniyan, S. & Goic, Ranko, 2010. "A review of solar thermal technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 312-322, January.
    11. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    12. Ferraro, Vittorio & Marinelli, Valerio, 2012. "An evaluation of thermodynamic solar plants with cylindrical parabolic collectors and air turbine engines with open Joule–Brayton cycle," Energy, Elsevier, vol. 44(1), pages 862-869.
    13. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    14. Wu, Chih & Chen, Lingen & Sun, Fengrui, 1996. "Performance of a regenerative Brayton heat engine," Energy, Elsevier, vol. 21(2), pages 71-76.
    15. Liu, Gang, 2014. "Development of a general sustainability indicator for renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 611-621.
    16. Chen, Lingen & Zhang, Wanli & Sun, Fengrui, 2007. "Power, efficiency, entropy-generation rate and ecological optimization for a class of generalized irreversible universal heat-engine cycles," Applied Energy, Elsevier, vol. 84(5), pages 512-525, May.
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