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Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry

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  • Aghaei, Ali Tavakkol
  • Saray, Rahim Khoshbakhti

Abstract

A proposed system consists of a combined cooling, heating, and power (CCHP) system driven by a gas turbine prime mover and an auxiliary boiler (CCHP-Boiler) system in a dairy factory. The CCHP-Boiler system optimized based on three different objective functions. In the 1st method, the system is considered as the combined CCHP-Boiler system. However, in the 2nd and 3rd methods, the optimization process has been carried out to the combined CCHP-Boiler system which has power transfer with the central power plant (CPP). The first objective function in the 1st method is the exergy efficiency of the CCHP-Boiler system. The second objective function is the annual total cost of the CCHP-Boiler system. In the 2nd and 3rd methods, the comprehensive objective function (CO), is the single-objective function. The results indicate that the base design requires a higher pressure ratio of air compressor (RP), which is equal to 14.79, and consequently, the existence of APH and LPG2 is recommended. But, optimization with all the methods for the CCHP-Boiler system leads to low RP values, which is approximately equal to 6. Meanwhile, it can be concluded that the existence of air pre-heater (APH) is not necessary and it should be removed.

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  • Aghaei, Ali Tavakkol & Saray, Rahim Khoshbakhti, 2021. "Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry," Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221010367
    DOI: 10.1016/j.energy.2021.120788
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    References listed on IDEAS

    as
    1. Lazzaretto, Andrea & Tsatsaronis, George, 2006. "SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems," Energy, Elsevier, vol. 31(8), pages 1257-1289.
    2. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    3. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q., 2014. "A novel operation strategy for CCHP systems based on minimum distance," Applied Energy, Elsevier, vol. 128(C), pages 325-335.
    4. Anvari, Simin & Khoshbakhti Saray, Rahim & Bahlouli, Keyvan, 2015. "Conventional and advanced exergetic and exergoeconomic analyses applied to a tri-generation cycle for heat, cold and power production," Energy, Elsevier, vol. 91(C), pages 925-939.
    5. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    6. Alkan, Mehmet Ali & Keçebaş, Ali & Yamankaradeniz, Nurettin, 2013. "Exergoeconomic analysis of a district heating system for geothermal energy using specific exergy cost method," Energy, Elsevier, vol. 60(C), pages 426-434.
    7. Atalay, Halil, 2019. "Comparative assessment of solar and heat pump dryers with regards to exergy and exergoeconomic performance," Energy, Elsevier, vol. 189(C).
    8. Liu, Yang & Han, Jitian & You, Huailiang, 2020. "Exergoeconomic analysis and multi-objective optimization of a CCHP system based on LNG cold energy utilization and flue gas waste heat recovery with CO2 capture," Energy, Elsevier, vol. 190(C).
    9. Mert, Mehmet Selçuk & Dilmaç, Ömer Faruk & Özkan, Semra & Karaca, Fatma & Bolat, Esen, 2012. "Exergoeconomic analysis of a cogeneration plant in an iron and steel factory," Energy, Elsevier, vol. 46(1), pages 78-84.
    10. Morosuk, Tatiana & Tsatsaronis, George, 2008. "A new approach to the exergy analysis of absorption refrigeration machines," Energy, Elsevier, vol. 33(6), pages 890-907.
    11. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    12. Kavvadias, K.C. & Maroulis, Z.B., 2010. "Multi-objective optimization of a trigeneration plant," Energy Policy, Elsevier, vol. 38(2), pages 945-954, February.
    Full references (including those not matched with items on IDEAS)

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    6. Chinese, D. & Orrù, P.F. & Meneghetti, A. & Cortella, G. & Giordano, L. & Benedetti, M., 2022. "Symbiotic and optimized energy supply for decarbonizing cheese production: An Italian case study," Energy, Elsevier, vol. 257(C).
    7. Xu, Yuhao & Luo, Xiaobing & Tu, Zhengkai & Siew Hwa Chan,, 2022. "Multi-criteria assessment of solid oxide fuel cell–combined cooling, heating, and power system model for residential application," Energy, Elsevier, vol. 259(C).
    8. Dai, Yiru & Zeng, Yipu, 2022. "Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes," Energy, Elsevier, vol. 260(C).
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