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Present a multi-criteria modeling and optimization (energy, economic and environmental) approach of industrial combined cooling heating and power (CCHP) generation systems using the genetic algorithm, case study: A tile factory

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  • Ershadi, Hamed
  • Karimipour, Arash

Abstract

In this study, an industrial combined cooling, heat and power (CCHP) generation system in a tile factory was simulated and optimized by the genetic algorithm approach taking into account electricity, heating and cooling loads. Modeling and optimization were performed based on thermodynamic, environmental and economic analyzes. A multi-criteria function (energy, economic, and environmental) called relative annual benefit (RAB) with a gas engine (with partial load operation) as the prime mover was used in the optimization process. The analysis was performed for three different scenarios of the possibility of selling (selling scenario or SS) and impossibility of selling electricity (no-selling scenario or NS) to the grid and the possibility of selling electricity with similar capacities. The designing variables including the number of prime movers, nominal capacity of movers, backup boiler capacity and the capacity of compression and absorption chillers were optimized. The CCHP system for the tile factory showed the better performance of selling scenario using a gas engine with a capacity of 5000 and 700. However, the nominal capacity of the prime movers in the selling scenario was higher than that in the no-selling strategy. The results showed that the relative annual benefit decreased by choosing a similar capacities.

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  • Ershadi, Hamed & Karimipour, Arash, 2018. "Present a multi-criteria modeling and optimization (energy, economic and environmental) approach of industrial combined cooling heating and power (CCHP) generation systems using the genetic algorithm,," Energy, Elsevier, vol. 149(C), pages 286-295.
    • Handle: RePEc:eee:energy:v:149:y:2018:i:c:p:286-295
    DOI: 10.1016/j.energy.2018.02.034
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    1. Karimipour, Arash & Hemmat Esfe, Mohammad & Safaei, Mohammad Reza & Toghraie Semiromi, Davood & Jafari, Saeed & Kazi, S.N., 2014. "Mixed convection of copper–water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 150-168.
    2. Li, Xian & Shen, Ye & Kan, Xiang & Hardiman, Timothy Kurnia & Dai, Yanjun & Wang, Chi-Hwa, 2018. "Thermodynamic assessment of a solar/autothermal hybrid gasification CCHP system with an indirectly radiative reactor," Energy, Elsevier, vol. 142(C), pages 201-214.
    3. Sanaye, Sepehr & Sarrafi, Ahmadreza, 2015. "Optimization of combined cooling, heating and power generation by a solar system," Renewable Energy, Elsevier, vol. 80(C), pages 699-712.
    4. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    5. Sanaye, Sepehr & Khakpaay, Navid, 2014. "Simultaneous use of MRM (maximum rectangle method) and optimization methods in determining nominal capacity of gas engines in CCHP (combined cooling, heating and power) systems," Energy, Elsevier, vol. 72(C), pages 145-158.
    6. Gvozdenac, Dušan & Urošević, Branka Gvozdenac & Menke, Christoph & Urošević, Dragan & Bangviwat, Athikom, 2017. "High efficiency cogeneration: CHP and non-CHP energy," Energy, Elsevier, vol. 135(C), pages 269-278.
    7. Sanaye, Sepehr & Ardali, Moslem Raessi, 2009. "Estimating the power and number of microturbines in small-scale combined heat and power systems," Applied Energy, Elsevier, vol. 86(6), pages 895-903, June.
    8. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    9. Ebrahimi, Masood & Keshavarz, Ali, 2013. "Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates," Energy, Elsevier, vol. 54(C), pages 291-301.
    10. Rensonnet, Thibaut & Uche, Javier & Serra, Luis, 2007. "Simulation and thermoeconomic analysis of different configurations of gas turbine (GT)-based dual-purpose power and desalination plants (DPPDP) and hybrid plants (HP)," Energy, Elsevier, vol. 32(6), pages 1012-1023.
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