Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm

2019

Mechanics & Industry

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.

Section: Mathematical Modelingmentioning

confidence: 99%

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

2019

Mechanics & Industry

“…In recent years, there is growing research on the application of optimization algorithms to solve the problems related to the heat exchanger and power generation units [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. For example, some researchers examined the cost minimization of the t of initial investment based on the surface area of heat as the objective function [15].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Particle Swarm Optimization of the K-Type Shell and Tube Heat Exchanger (Case Study)

Nadi

Journal of Thermal Engineering

Ahmadi

et al. 2021

This paper investigated optimization of two objectives function include the total amount of heat transfer between two mediums and the total cost of shell and tube heat exchanger. The study was carried out for k-type heat exchanger of the cryogenic unit of gas condensates by multiple objective particle swarm optimization. Six decision variables including pipe pitch ratio, pipe diameter, pipe number, pipe length, baffle cut ratio, and baffle distance ratio were taking into account to conduct this simulation-based research. The results of mathematical modeling confirmed the actual results (data collected from the evaporator unit of the Tehran refinery’s absorption chiller). The optimization results revealed that the two objective functions of heat transfer rate and the total cost were in contradiction with each other. The results of the sensitivity analysis showed that with change in the pitch ratio from 1.25 to 2, the amount of heat transfer was reduced from 420 to 390 kW about 7.8%. Moreover, these variations caused reduction in cost function from 24,500 to 23,500 $, less than 1%. On the other hand, an increase in pipe length from 3 to 12 meters, the heat transfer rate raised from 365 to 415 kW by 13.7%, while the cost increased from 20,000$ to 24500$ about 22%.

“…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

Journal of Thermal Engineering

2020

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