Modeling and Exergy and Exergoeconomic Optimization of a Gas Turbine Power Plant Using a Genetic Algorithm

2010 ◽  
Author(s):  
Soheil Fouladi ◽  
Hamid Saffari
Keyword(s):  
Genetic Algorithm ◽  
Power Plant ◽  
Combustion Chamber ◽  
Gas Turbine ◽  
Exergy Efficiency ◽  
Design Parameters ◽  
Working Fluid ◽  
Exergy Destruction ◽  
The Cost ◽  
Gas Turbine Power Plant

In this paper, the thermodynamic modelling of a gas turbine power plant in Iran is performed. Also, a computer code has been developed based on Matlab software. Moreover, both exergy and exergoeconomic analysis of this power plant have been conducted. To have a good insight into this study, the effects of key parameters such as compressor pressure ratio, gas turbine inlet temperature (TIT), compressor and turbine isentropic efficiency on the total exergy destruction, total exergy efficiency as well as total cost of exergy destruction have been performed. The modelling results have been compared with an actual running power plant located in Yazd city, Iran. The results of developed code have shown reasonable agreement between the simulation code results and experimental data obtained from power plant. The exergy analysis revealed that the combustion chamber is the must exergy destructor in comparison with other components. Also, its exergy efficiency is less than other components. This is due to the high temperature difference between working fluid and burner temperature. In addition, it was found that by the increase of TIT, the exergy destruction of this component can be reduced. On the other hand, the cost of exergy destruction is high for the combustion chamber. The effects of design parameters on exergy efficiency have shown that increase in the air compressor ratio and TIT, increases the total exergy efficiency of the cycle. Furthermore, the results have revealed that by the increase of TIT by 350°C, the cost of exergy destruction is decreased about 22%. Therefore, TIT is the best option to improve the cycle losses. In addition, an optimization using a genetic algorithm has been conducted to find the optimal solution of the plant.

scholarly journals Exergoeconomic Analysis of 21.6 MW Gas Turbine Power Plant in Riau, Indonesia

2021 ◽  
Vol 84 (1) ◽  
pp. 126-134
Author(s):  
Awaludin Martin ◽  
Nur Indah Rivai ◽  
Rahmat Dian Amir ◽  
Nasruddin
Keyword(s):  
Power Plant ◽  
Economic Analysis ◽  
Combustion Chamber ◽  
Gas Turbine ◽  
Exergy Analysis ◽  
Exergy Destruction ◽  
Exergetic Efficiency ◽  
Exergoeconomic Analysis ◽  
The Cost ◽  
Gas Turbine Power Plant

In this study, exergoeconomic analysis was carry out on a 21.6MW gas turbine power plant by using logbooks record Pekanbaru Unit. The exergy analysis was start to determine the exergy destruction of each component of the power plant based on the first and second laws of thermodynamics and in this study, exergy and economic analysis were combined and used to evaluate the accrued cost caused by irreversibility, including the cost of investment in each component. The exergy analysis results showed that the location of the largest destruction was in the combustion chamber with 21,851.18 kW, followed by the compressor and gas turbine with 8,495.48 kW and 3,094.34 kW, respectively. The economic analysis resulted that the total cost loss due to exergy destruction was 2,793.14$/hour, consisting of compressor 1,066.43$/hour, combustion chamber 1,561.46$/hour and gas turbine 165.25$/hour. The thermal and exergetic efficiency of gas turbine power plant were 24.51% and 22.73% respectively.

Kajian Eksergi Pembangkit Listrik Tenaga Gas (Studi Kasus di PT. Indonesia Power Up Perak-Grati)

2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Putri Sundari ◽  
Bayu Rudiyanto ◽  
Budi Hariyono
Keyword(s):  
Ambient Temperature ◽  
Combustion Chamber ◽  
Gas Turbine ◽  
Exergy Efficiency ◽  
Large Temperature ◽  
Exergy Destruction ◽  
Compressor Inlet ◽  
Energy And Exergy Analysis ◽  
Physical And Chemical ◽  
Gas Turbine Power Plant

This research discusses an energy and exergy analysis of a 112,45 MW gas turbine power generation system. The exergy of a material stream is divided into physical and chemical exergyand evaluated on each state. The results of this study reveal that the highest exergy destruction occurs in combustion chamber (65,81%), where the large temperature difference is the major source of the irreversibility. The exergy destruction in turbine gas and compressor was found 26,62% and 7,57% respectively. The effect of various gas turbine load and ambient temperature to the system’s performance were also studied. The result shows that increasing gas turbine loadgives positif effecton the exergy efficiency of the cycle as well as the components compressor and combustion chamber. Increasing ambient temperature givesnegatif effect, bywhich exergy efficiency of cycle was decreasing. Accordingly, cooling of the compressor inlet air is considered as the solution to this problem.Penelitian ini membahas analisis energi dan eksergi pada sistem pembangkit listrik tenaga gas berkapasitas 112,45 MW. Laju aliran eksergi dibagi menjadi dua komponen yaitu eksergi fisik dan eksergi kimia yang dievaluasi pada masing-masing keadaan. Hasil dari penelitian ini menunjukkan bahwa pemusnahan eksergi terbesar terjadi di ruang bakar (68,61%), dimana perbedaan temperatur yang besar merupakan sumber utama terjadinya irreversibilitas. Sedangkan pemusnahan eksergi pada turbin gas dan kompresor masing- masing sebesar 26,62% dan 7,57%. Pada penelitian ini juga membahas pengaruh dari tingkat pembebanan dan suhu udara lingkungan untuk mengetahui perubahan performa yang dihasilkan. Hasil dari variasi pembebanan menunjukkan bahwa peningkatan beban turbin gas berpengaruh positif terhadap efisiensi siklus maupun komponennya, yaitu kompresor dan ruang bakar. Peningkatan suhu udara lingkungan berdampak sebaliknya, dimana efisiensi siklus mengalami penurunan pada suhu udara lingkungan yang lebih tinggi. Sehingga untuk mengendalikan faktor tersebut dapat dilakukan dengan pendinginan suhu udara masuk kompresor.Keywords: energy, exergy, exergy efficiency, Gas Turbine Power Plant.

The Liquid Metal Fuel Reactor Closed-Cycle Gas Turbine Power Plant

1956 ◽  
Author(s):  
L. D. Stoughton ◽  
T. V. Sheehan
Keyword(s):  
Power Plant ◽  
Liquid Metal ◽  
Gas Turbine ◽  
Nuclear Power ◽  
Reactor Fuel ◽  
Working Fluid ◽  
Closed Cycle ◽  
Fuel Reactor ◽  
Metal Fuel ◽  
Gas Turbine Power Plant

A nuclear power plant is proposed which combines the advantages of a liquid metal fueled reactor with those inherent in a closed cycle gas turbine. The reactor fuel is a solution of uranium in molten bismuth which allows for unlimited burn-up with continuous fuel make-up and processing. The fuel can either be contained in a graphite core structure or circulated through an external heat exchanger. The cycle working fluid is an inert gas which is heated by the reactor fuel before entering the turbine. A 15 MW closed cycle gas turbine system is shown to illustrate the application of this reactor.

Thermodynamic Modeling and Optimization of Cogeneration Heat and Power System Using Evolutionary Algorithm (Genetic Algorithm)

2010 ◽  
Author(s):  
P. Ebrahimi ◽  
H. Karrabi ◽  
S. Ghadami ◽  
H. Barzegar ◽  
S. Rasoulipour ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Combustion Chamber ◽  
Objective Function ◽  
Evolutionary Algorithm ◽  
Gas Turbine ◽  
Saturated Steam ◽  
Design Parameters ◽  
Inlet Temperature ◽  
Decision Variables ◽  
Isentropic Efficiency

A gas-turbine cogeneration system with a regenerative air preheater and a single-pressure exhaust gas boiler serves as an example for application of CHP Plant. This CHP plant which can provide 30 MW of electric power and 14kg/s saturated steam at 20 bars. The plant is comprised of a gas turbine, air compressor, combustion chamber, and air pre-heater as well as a heat recovery steam generator (HRSG). The design Parameters of the plant, were chosen as: compressor pressure ratio (rc), compressor isentropic efficiency (ηac), gas turbine isentropic efficiency (ηgt), combustion chamber inlet temperature (T3), and turbine inlet temperature (T4). In order to optimally find the design parameters a thermoeconomic approach has been followed. An objective function, representing the total cost of the plant in terms of dollar per second, was defined as the sum of the operating cost, related to the fuel consumption. Subsequently, different pars of objective function have been expressed in terms of decision variables. Finally, the optimal values of decision variables were obtained by minimizing the objective function using Evolutionary algorithm such as Genetic Algorithm. The influence of changes in the demanded power on the design parameters has been also studied for 30, 40 MW of net power output.

Exergoeconomic analysis and performance assessment of selected gas turbine power plants

2015 ◽  
Vol 12 (3) ◽  
pp. 283-300 ◽  
Author(s):  
S.O. Oyedepo ◽  
R.O. Fagbenle ◽  
S.S. Adefila ◽  
Md. Mahbub Alam
Keyword(s):  
Combustion Chamber ◽  
Gas Turbine ◽  
Power Plants ◽  
Exergy Analysis ◽  
Unit Cost ◽  
Exergy Destruction ◽  
Improvement Potential ◽  
And Performance ◽  
Exergoeconomic Analysis ◽  
The Cost

In this study, exergoeconomic analysis and performance evaluation of selected gas turbine power plants in Nigeria were carried out. The study was conducted using operating data obtained from the power plants to determine the exergy efficiency, exergy destruction, unit cost of electricity and cost of exergy destruction of the major components of a gas turbine engine in the selected power plants. The results of exergy analysis confirmed that the combustion chamber is the most exergy destructive component compared to other cycle components as expected. The total efficiency defects and overall exergetic efficiency of the selected power plants vary from 38.64 to 69.33% and 15.66 to 30.72% respectively. The exergy analysis further shows that the exergy improvement potential of the selected plants varies from 54.04 MW to 159.88 MW. The component with the highest exergy improvement potential is the combustion chamber and its value varies from 30.21 MW to 88.86 MW. The results of exergoeconomic analysis show that the combustion chamber has the greatest cost of exergy destruction compared to other components. Increasing the gas turbine inlet temperature (GTIT), both the exergy destruction and the cost of exergy destruction of this component were found to decrease. The results of this study revealed that an increase in the GTIT of about 200 K can lead to a reduction of about 29% in the cost of exergy destruction. From exergy costing analysis, the unit cost of electricity produced in the selected power plants varies from cents 1.99 /kWh (N3.16 /kWh) to cents 5.65 /kWh (N8.98 /kWh).

Second Law Based Optimization of Micro Gas Turbine (MGT) Cycle for Residental Application Using a Genetic Algorithm

2010 ◽  
Author(s):  
N. Enadi ◽  
P. Ahmadi ◽  
F. Atabi ◽  
M. R. Heibati
Keyword(s):  
Genetic Algorithm ◽  
Combustion Chamber ◽  
Objective Function ◽  
Gas Turbine ◽  
Operating Cost ◽  
Saturated Steam ◽  
Design Parameters ◽  
Inlet Temperature ◽  
Decision Variables ◽  
Isentropic Efficiency

Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. Most of the conventional exergoeconomic optimization methods are iterative in nature and require the interpretation of the designer at each iteration. In this work, a cogeneration system that produces 50MW of electricity and 33.3 kg/s of saturated steam at 13 bars is optimized using exergoeconomic principles and evolutionary programming such as Genetic algorithm. The optimization program is developed in Matlab Software programming. The plant is comprised of a gas turbine, air compressor, combustion chamber, and air pre-heater as well as a heat recovery steam generator (HRSG).The design Parameters of the plant, were chosen as: compressor pressure ratio (rc), compressor isentropic efficiency (ηac), gas turbine isentropic efficiency (ηgt), combustion chamber inlet temperature (T3), and turbine inlet temperature (T4). In order to optimally find the design parameters a thermoeconomic approach has been followed. An objective function, representing the total cost of the plant in terms of dollar per second, was defined as the sum of the operating cost, related to the fuel consumption. Subsequently, different pars of objective function have been expressed in terms of decision variables. Finally, the optimal values of decision variables were obtained by minimizing the objective function using Evolutionary algorithm such as Genetic Algorithm. The influence of changes in the demanded power on the design parameters has been also studied for 50, 60, 70 MW of net power output.

Efficiency Optimization of Four Gas Turbine Power Plant Configurations

2016 ◽  
Author(s):  
Sultan Almodarra ◽  
Abdullah Alabdulkarem
Keyword(s):  
Power Plant ◽  
Combustion Chamber ◽  
Gas Turbine ◽  
Power Plants ◽  
Waste Heat ◽  
Combined Cycle ◽  
Conjugate Directions ◽  
Steam Power ◽  
Baseline Design ◽  
Gas Turbine Power Plant

Gas turbine power plants fueled by natural gas are common due to their quick start-up operation and low emissions compared with steam power plants that are directly fired. However, the efficiency of basic gas turbine power plant is considered low. Any improvement in the efficiency would result in fuel savings as well as reduction in CO2 emissions. One way to improve the efficiency is to utilize exhaust gas waste heat. Two waste heat utilization options were considered. The first option was to run a steam power plant (i.e. combined cycle power plant) while the other option was to use a regenerator which reduces the size of the combustion chamber. The regenerator utilizes the waste heat to preheat the compressed air before the combustion chamber. In addition, the efficiency can be improved with compressor intercooling and turbine reheating. In this paper, four gas turbine power plant configurations were investigated and optimized to find the maximum possible efficiency for each configuration. The configurations are (1) basic gas turbine, (2) combined cycle, (3) advanced combined cycle and (4) gas turbine with regenerator, intercooler and reheater. The power plants were modeled in EES software and the basic model was validated against vendor’s data (GE E-class gas turbine Model 7E) with good agreement. Maximum discrepancy was only 3%. The optimization was carried out using conjugate directions method and improvements in the baseline design were as high as 25%. The paper presents the modeling work, baseline designs, optimization and analysis of the optimization results using T-s diagrams. The efficiency of the optimized configurations varied from 49% up 65%.

Thermodynamic modeling and Exergy Analysis of Gas Turbine Cycle for Different Boundary conditions

2015 ◽  
Vol 6 (2) ◽  
pp. 205 ◽  
Author(s):  
Lalatendu Pattanayak
Keyword(s):  
Ambient Temperature ◽  
Combustion Chamber ◽  
Gas Turbine ◽  
Exergy Analysis ◽  
Load Condition ◽  
Exergy Efficiency ◽  
Inlet Temperature ◽  
Exergy Destruction ◽  
And Performance ◽  
Topping Cycle

In this study an exergy analysis of 88.71 MW 13D2 gas turbine (GT) topping cycle is carried out. Exergy analysis based on second law was applied to the gas cycle and individual components through a modeling approach. The analysis shows that the highest exergy destruction occurs in the combustion chamber (CC). In addition, the effects of the gas turbine load and performance variations with ambient temperature, compression ratio and turbine inlet temperature (TIT) are investigated to analyse the change in system behavior. The analysis shows that the gas turbine is significantly affected by the ambient temperature which leads to a decrease in power output. The results of the load variation of the gas turbine show that a reduction in gas turbine load results in a decrease in the exergy efficiency of the cycle as well as all the components. The compressor has the largest exergy efficiency of 92.84% compared to the other component of the GT and combustion chamber is the highest source of exergy destruction of 109.89 MW at 100 % load condition. With increase in ambient temperature both exergy destruction rate and exergy efficiency decreases.

Optimization of a Micro Gas Turbine Using Genetic Algorithm

2011 ◽  
Author(s):  
Maryam Pourhasanzadeh ◽  
Sajjad Bigham
Keyword(s):  
Genetic Algorithm ◽  
Combustion Chamber ◽  
Objective Function ◽  
Gas Turbine ◽  
Distributed Generation ◽  
Gas Turbines ◽  
Design Parameters ◽  
Micro Gas Turbine ◽  
Design Variables ◽  
Isentropic Efficiency

Distributed generation is an attractive way of producing energy, minimizing transport losses and enhancing energy efficiency. Micro gas turbines in distributed generation systems add other advantages such as low emissions and fuel flexibility. In the present work, a 100 kW micro gas turbine is considered. The optimization procedure is done by Genetic Algorithm method which is a new method in optimizing problems. The plant is comprised of an air compressor, recuperator, combustion chamber and gas turbine. The design Parameters of the plant, were chosen as: compressor pressure ratio, compressor isentropic efficiency, gas turbine isentropic efficiency, combustion chamber inlet temperature and the temperature of the combustion gas at the gas turbine inlet. In order to find the design parameters optimally, a thermo-economic approach has been followed. An objective function, representing the total cost of the plant in terms of dollar per second, was defined as the sum of the operating cost, related to the fuel consumption, the capital investment which stands for equipment purchase and maintenance cost. Subsequently, different parts of the objective function have been expressed in terms of design variables. Finally, the optimal values of design variables were obtained by minimizing the objective function using Genetic Algorithm code that is developed in Matlab software programming.

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