4E analyses of an intercooled-recuperative gas turbine-based CCHP system: Parametric analysis and tri-objective optimization

被引:24
作者
Nondy, J. [1 ]
Gogoi, T. K. [1 ]
机构
[1] Tezpur Univ, Dept Mech Engn, Napaam 784028, Tezpur, India
关键词
Gas turbine; CCHP system; Tri-objective optimization; PESA-II; TOPSIS; MULTIOBJECTIVE OPTIMIZATION; ABSORPTION-REFRIGERATION; WASTE HEAT; POWER; ENERGY; CYCLE; PERFORMANCE; EMISSION; EXERGY; TECHNOLOGIES;
D O I
10.1016/j.tsep.2023.101719
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a combined cooling heating and power system is proposed for the trigeneration of chilled water, process heat, and electricity. It comprises an intercooled-recuperative gas turbine cycle, an absorption cooling system and a heat recovery steam generator. The absorption cooling system is driven by utilizing the low-grade heat rejected during the intercooling of compressed air and the heat recovery steam generator is operated by recapturing the same from the flue gas. The proposed system is modelled based on energy, exergy, exer-goeconomic and environmental analyses. The simulation showed that the system provides a net power of 30 MW, process heat of 29.92 MW, and cooling of 4.72 MW at the base case operating state, with an energy and exergy efficiencies of 83.79 % and 50.60 %, respectively. The optimal case for a proposed system is then determined, with exergy efficiency, system cost, and environmental cost acting as the objective functions to maximise the first and minimise the other two. A parametric analysis is used to find the ideal values of the operating conditions that do not offer a trade-off solution. A tri-objective optimization using the Pareto envelope-based selection algorithm-II is applied to determine the ideal values of the reaming operational conditions that provide trade-off solutions. The technique for order preference by similarity to the ideal solution is also used to select the best optimal solutions from the Pareto front. It is found that the exergy efficiency increased by 2.53 %, and system and environmental costs were reduced by 13.62 % and 18.67 %, respectively.
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页数:18
相关论文
共 43 条
[1]   Development, evaluation, and multi-objective optimization of a multi-effect desalination unit integrated with a gas turbine plant [J].
Ahmadi, Pouria ;
Khanmohammadi, Shoaib ;
Musharavati, Farayi ;
Afrand, Masoud .
APPLIED THERMAL ENGINEERING, 2020, 176
[2]   Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system [J].
Ahmadi, Pouria ;
Dincer, Ibrahim ;
Rosen, Marc A. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 76 :282-300
[3]   Greenhouse gas emission and exergo-environmental analyses of a trigeneration energy system [J].
Ahmadi, Pouria ;
Rosen, Marc A. ;
Dincer, Ibrahim .
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2011, 5 (06) :1540-1549
[4]   Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant [J].
Ahmadi, Pouria ;
Dincer, Ibrahim .
APPLIED THERMAL ENGINEERING, 2011, 31 (14-15) :2529-2540
[5]   Developing an Innovative biomass-based Power Plant for low-carbon Power production: Exergy and Exergoeconomic analyses [J].
Akrami, Ehsan ;
Ameri, Mohammad ;
Rocco, Matteo, V .
THERMAL SCIENCE AND ENGINEERING PROGRESS, 2020, 19
[6]   Review of tri-generation technologies: Design evaluation, optimization, decision-making, and selection approach [J].
Al Moussawi, Houssein ;
Fardoun, Farouk ;
Louahlia-Gualous, Hasna .
ENERGY CONVERSION AND MANAGEMENT, 2016, 120 :157-196
[7]  
Al-Sulaiman F.A., 2010, Thermodynamic modeling and thermoeconomic optimization of integrated trigeneration plants using organic Rankine cycles
[8]   Thermodynamic analysis of a tri-generation system based on micro-gas turbine with a steam ejector refrigeration system [J].
Ameri, Mohammad ;
Behbahaninia, Ali ;
Tanha, Amir Abbas .
ENERGY, 2010, 35 (05) :2203-2209
[9]  
[Anonymous], 2021, THERM SCI ENG PROG, V21
[10]   Thermo- economical consideration of Regenerative organic Rankine cycle coupling with the absorption chiller systems incorporated in the trigeneration system [J].
Anvari, Simin ;
Taghavifar, Hadi ;
Parvishi, Alireza .
ENERGY CONVERSION AND MANAGEMENT, 2017, 148 :317-329