Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant

Shamoushaki, Moein; Ghanatir, Farrokh; Ehyaei, M.A.; Ahmadi, Abolfazl

doi:10.1504/ijex.2017.083160

Cited by 36 publications

(18 citation statements)

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“…The works that highlight exergy based optimization are performed on a wide variety of processes. Most of the authors in this area focused on leveraging the benefits of exergetic optimization, outlined in the Introduction, to improve existing processes [73,[75][76][77][78][79][80][81][82][83][84][85][86][87][88][89]91,92]. For instance, the work by a number of authors to improve the efficiency of gas turbine power plants is timely in light of the growth of installed gas turbine power plants over the past ten years [95].…”

Section: Discussionmentioning

confidence: 99%

“…In addition to the optimization of power plants, other authors used multi-objective optimization to minimize exergy destruction in a number of power cycles (Brayton, Kalina, etc. ), heating and power processes, or related unit operations [73,[76][77][78][79][80][81][82][83][84][86][87][88][89][90][91][92][93]. It is no coincidence that there are multiple works dedicated to turbines, power cycles, and related processes.…”

Section: Discussionmentioning

confidence: 99%

“…In the same year, Barzeger collaborated with Ahmadi and others on the same topic [83]. Shamoushaki et al built on this work by cleverly applying the multi-objective optimization algorithm used in other power system studies to improve the efficiency in a case study of the Aliabad Katoul power plant [84].…”

Section: Exergy Based Optimizationmentioning

confidence: 99%

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A Review of Exergy Based Optimization and Control

2020

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This work presents a critical review of the use of exergy based control and optimization for efficiency improvements in energy networks, with a background of exergy based analysis given for context. Over the past three decades, a number of studies using exergy were conducted to gain a performance advantage for high energy consumption systems and networks. Due to their complexity and the increased scale of the systems, the opportunity to misuse energy inevitability leads to inefficient operations. The studies accomplished in this area are grouped into either control or optimization to highlight each method's ability to minimize system irreversibilities that lead to exergy destruction. The exergy based optimization and control studies featured demonstrate substantial improvements (as high as 40%) over traditional methods based on the first law of thermodynamics. This paper reviews the work completed in the area of exergy based optimization and control as of the end of September 2019, outlines the progress made, and identifies specific areas where future work can advance this area of study. A relatively small amount of publications are available compared to other fields, with most work occurring in the area of exergy based multi-objective optimization.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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A Review of Exergy Based Optimization and Control

2020

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“…Several papers have been investigated about the exergy, economic and environment analysis of gas turbine power plant, various methods of gas turbine cycle inlet air cooler, dispersed power generation systems have been published by the author of this paper [20][21][22][23][24][25][26][27][28][29][30][31]. A. Abbassi and M. Aliehyaei in 2004 investigated Exergy method of optimization of a wavy plate indirect evaporative cooler they understated although the exery analysis has high efficiency for thermal systems at a high temperature difference , nevertheless the present result show that this method may also be applied for systems with high fraction pressure loss and low temperature difference by this method can increase energy efficiency by up to 65% [32].…”

Section: Introductionmentioning

confidence: 99%

Optimization of a New Configuration of Power Tri-Generation Cycle by the Use of a Multi-Purpose Genetic Algorithm

Eftekhari

Ehyaei

2020

Journal of Thermal Engineering

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In the current study, a new configuration of power tri-generation cycle was suggested. In this cycle, the energy of hot gases output from the gas cycle in the heat recovery steam generator (HRSG), and the waste energy of the condenser in the steam cycle were recovered in the Organic Rankine Cycle (ORC). After the energy, exergy, and economic modeling of the cycle, the optimization of this cycle by the use of multipurpose genetic algorithm was performed. The objective functions were the electricity cost and the second law efficiency of thermodynamics. The variables chosen for optimization were the air to fuel molar ratio, the compression, and expansion ratio of the compressor and turbine of the gas cycle, the mass flow rate of water steam and refrigerant in steam cycles and ORC, the Pinch points between the gas cycle and steam, and steam cycles and ORC, and the maximum temperatures of the steam and ORC cycles. The optimization results showed that by choosing the optimal values of variables, the efficiency of the first and second thermodynamic laws, and the produced entropy would be 67.3%, 68.9%, and

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“…Their results showed that variable-pressure ORCs deliver a better efficiency compared to constant-pressure ORCs [18]. Also many researches have been developed about energy, exergy, economic and environmental analysis and application in power generation systems both renewable and nonrenewable energy resources [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Energy, exergy, and economic analysis of a new triple-cycle power generation configuration and selection of the optimal working fluid

Zeinodini

Ehyaei

2019

Mechanics & Industry

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The present study investigated energy, exergy and economic analyses on a new triple-cycle power generation configuration. In this configuration, the energy of the exhaust gas and the wasted energy in the condenser of the steam cycle is recovered in the heat recovery steam generator (HRSG) and the evaporator of organic Rankine cycle (ORC), respectively. A computer code was written in MATLAB to analyze the triplecycle configuration. Validation through this program showed that the highest errors were 5.6 and 7.1%, which occurred in gas and steam cycles, respectively. The results revealed that the highest generated entropy was associated with the combustion chamber and the evaporator in the steam cycle. The first and second laws of thermodynamics efficiencies were improved by roughly 270 and 8%, respectively, through adding each of the steam and organic Rankine cycles. The entropy generated by the cycle increased by roughly 400 and 4% by adding the steam and organic Rankine cycles, respectively. The price of the produced electricity was also reduced by roughly 60 and 70%, respectively, for these two cycles.

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Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant

Cited by 36 publications

References 0 publications

A Review of Exergy Based Optimization and Control

A Review of Exergy Based Optimization and Control

Optimization of a New Configuration of Power Tri-Generation Cycle by the Use of a Multi-Purpose Genetic Algorithm

Energy, exergy, and economic analysis of a new triple-cycle power generation configuration and selection of the optimal working fluid

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