Thermodynamic Evaluation of a 42MW Gas Turbine Power Plant

2014 ◽  
Vol 12 ◽  
pp. 83-94 ◽  
Author(s):  
Henry Egware ◽  
Albert I. Obanor ◽  
Harrison Itoje
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Air Temperature ◽  
Power Plants ◽  
Exergy Analysis ◽  
Ambient Air ◽  
Thermodynamic Evaluation ◽  
Ambient Air Temperature ◽  
Energy And Exergy ◽  
Gas Turbine Power Plant

Energy and exergy analyses were carried out on an active 42MW open cycle gas turbine power plant. Data from the power plant record book were employed in the investigation. The First and Second Laws of Thermodynamics were applied to each component of the gas power plant at ambient air temperature range of 21 - 330C. Results obtained from the analyses show that the energy and exergy efficiencies decrease with increase in ambient air temperature entering the compressor. It was also shown that 66.98% of fuel input and 54.53% of chemical exergy are both lost to the environment as heat from the combustion chamber in the energy and exergy analysis respectively. The energy analysis quantified the efficiency of the plant arising from energy losses , while exergy analysis revealed the magnitude of losses in various components of the plant. Therefore a complete thermodynamic evaluation of gas turbine power plants requires the use of both analytical methods.

Thermal performance of gas turbine power plant based on exergy analysis

2017 ◽  
Vol 115 ◽  
pp. 977-985 ◽  
Author(s):  
Thamir K. Ibrahim ◽  
Firdaus Basrawi ◽  
Omar I. Awad ◽  
Ahmed N. Abdullah ◽  
G. Najafi ◽  
...  
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Thermal Performance ◽  
Exergy Analysis ◽  
Gas Turbine Power Plant

scholarly journals Considerations regarding the anti-icing system for the ship propulsion plant with gas turbine

2021 ◽  
Vol 286 ◽  
pp. 04013
Author(s):  
George Iulian Balan ◽  
Octavian Narcis Volintiru ◽  
Ionut Cristian Scurtu ◽  
Florin Ioniță ◽  
Mirela Letitia Vasile ◽  
...  
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Energy Flow ◽  
Gas Turbines ◽  
Power Plants ◽  
Compressed Air ◽  
Ambient Temperatures ◽  
Foreign Objects ◽  
Technical Solutions ◽  
Gas Turbine Power Plant

Vessels that have navigation routes in areas with ambient temperatures that can drop below + 5 [°C], with a relative humidity of over 65%, will have implemented technical solutions for monitoring and combating ice accumulations in the intake routes of gas turbine power plants. Because gas turbines are not designed and built to allow the admission of foreign objects (in this case - ice), it is necessary to avoid the accumulation of ice through anti-icing systems and not to melt ice through defrost systems. Naval anti-icing systems may have as a source of energy flow compressed air, supersaturated steam, exhaust gases, electricity or a combination of those listed. The monitoring and optimization of the operation of the anti-icing system gives the gas turbine power plant an operation as close as possible to the normal regimes stipulated in the ship's construction or retrofit specification.

Thermo-Economic Assessment Under Electrical Market Uncertainties of a Combined Cycle Gas Turbine Integrated With a Flue Gas-Condensing Heat Pump

2020 ◽  
Author(s):  
Alberto Vannoni ◽  
Andrea Giugno ◽  
Alessandro Sorce
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Gas Turbine ◽  
Heat Pump ◽  
Flue Gas ◽  
Power Plants ◽  
Greenhouse Gas Emission ◽  
Capital Expenditure ◽  
Combined Cycle ◽  
Gas Turbine Power Plant

Abstract Renewable energy penetration is growing, due to the target of greenhouse-gas-emission reduction, even though fossil fuel-based technologies are still necessary in the current energy market scenario to provide reliable back-up power to stabilize the grid. Nevertheless, currently, an investment in such a kind of power plant might not be profitable enough, since some energy policies have led to a general decrease of both the average price of electricity and its variability; moreover, in several countries negative prices are reached on some sunny or windy days. Within this context, Combined Heat and Power systems appear not just as a fuel-efficient way to fulfill local thermal demand, but also as a sustainable way to maintain installed capacity able to support electricity grid reliability. Innovative solutions to increase both the efficiency and flexibility of those power plants, as well as careful evaluations of the economic context, are essential to ensure the sustainability of the economic investment in a fast-paced changing energy field. This study aims to evaluate the economic viability and environmental impact of an integrated solution of a cogenerative combined cycle gas turbine power plant with a flue gas condensing heat pump. Considering capital expenditure, heat demand, electricity price and its fluctuations during the whole system life, the sustainability of the investment is evaluated taking into account the uncertainties of economic scenarios and benchmarked against the integration of a cogenerative combined cycle gas turbine power plant with a Heat-Only Boiler.

Feed Forward Neural Network-Based Diagnostic Tool for Gas Turbine Power Plant

2002 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Bomba ◽  
Sergio M. Camporeale ◽  
Bernardo Fortunato
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Diagnostic Tool ◽  
Power Plants ◽  
Early Stage ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Single Fault ◽  
Fully Connected ◽  
Gas Turbine Power Plant

A diagnostic tool able to detect faults that may occur in a gas turbine power plant at an early stage of their emergence is of a great importance for power production. In the present paper, a diagnostic tool, based on Feed Forward Neural Networks (FFNN), has been proposed for gas turbine power plants with a condition monitoring approach. The main aim of the proposed diagnostic tool is to reliably detect not only every considered single fault, but also two or more faults that may occur contemporarily. Two different FFNNs compose the proposed diagnostic tool. The first network, that is not-fully connected, operates a fault pre-processing in order to evaluate the influence of the single fault variable on the single fault condition. The second FFNN detects the fault conditions by means of an iterative process. Such a diagnostic tool has been applied to a mathematical model of a single shaft gas turbine for power generation, resulting able to detect the 100% of single faults and the 80% of combined faults.

scholarly journals Obtaining a Neural Network Mathematical Model That Takes Into Account Various Power Supply Schemes

2021 ◽  
Vol 93 ◽  
pp. 01019
Author(s):  
G.A. Kilin ◽  
B.V. Kavalerov ◽  
A.I. Suslov ◽  
M.A. Kolpakova
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Power Plant ◽  
Control Systems ◽  
Gas Turbine ◽  
Power Plants ◽  
Electric Power System ◽  
Software Modeling ◽  
Electric Generator ◽  
Gas Turbine Power Plant

Gas turbine units are widely used as a drive for a synchronous generator in a gas turbine power plant. The main problem here lies in the fact that the control systems of such gas turbine plants are transferred practically unchanged from their aviation counterparts. This situation leads to inefficient operation of the gas turbine power plant, which affects the quality of electricity generation. To solve this problem, it is necessary to improve the control algorithms for the automatic control systems of gas turbine plants. When solving this problem, gas turbine plants should be considered in interaction with other subsystems and units; for gas turbine power plants, this is, first of all, an electric generator and the electric power system as a whole. Setting up a control system is one of the most costly stages of their production, both in terms of finance and time. Especially time-consuming operations are non-automated manual configuration management system for developmental and operational testing. Therefore, it is proposed to use a software-modeling complex, on the basis of which it is possible to obtain a neural network mathematical model of a gas turbine power plant and conduct its tests.

scholarly journals Risk Analysis of Associated Gas Utilization in Power Plants

2020 ◽  
Vol 5 (8) ◽  
pp. 858-863
Author(s):  
Isaiah Allison ◽  
Roupa Agbadede
Keyword(s):  
Power Plant ◽  
Risk Analysis ◽  
Gas Turbine ◽  
Power Plants ◽  
Simulation Software ◽  
Performance Simulation ◽  
Associated Gas ◽  
Gas Utilization ◽  
Plant Life ◽  
Gas Turbine Power Plant

This study presents the analysis of associated gas fueled gas turbine power plant with a view to harnessing associated gas. GASTURB performance simulation software was employed to model and simulate the design and off design performance of the various engines that made up the power plant investigated. Monte Carlo Simulation using Palisade’s @RISK software was employed to conduct the risk analysis of associated fueled gas turbine by incorporating different variables. A decline rate of -13% was applied over the 20-year period of power plant life, beginning from Year 2015. When the distribution curves for the clean and degraded conditions of DS25 engine set were compared, the plots show that the clean condition generates higher profit than the degraded condition.  Also, when the clean condition for DS25 and LM6K engine sets were compared, the distribution curve plots show that the cluster of DS25 engine set generates a higher profit than the LM6K engine set.

Energy and Exergy Analysis of a Gas Turbine Power Plant Integrated With Vapor Adsorption Refrigeration System

2019 ◽  
Author(s):  
Sanchit Agarwal ◽  
Darshika Gupta ◽  
Devendra Dandotiya ◽  
Nitin D. Banker
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Exhaust Gas ◽  
Absorption Refrigeration ◽  
Refrigeration System ◽  
Adsorption Refrigeration ◽  
Energy And Exergy ◽  
Energy And Exergy Analysis ◽  
Waste Energy ◽  
Gas Turbine Power Plant

Abstract In the step towards the utilization of waste energy of Gas Turbine (GT) power plant exhaust gas, researchers have imposed adsorption refrigeration system over the absorption refrigeration due to several positive advantages. In the reported work, the system was analyzed based on first law efficiency. However, combining heat and work together for an evaluating system using first law efficiency would not provide a true picture of the performance of the system, whereas second law efficiency shows various irreversibilities associated with each component of the system and helpful in obtaining the optimum conversion of energy. In view of this, the presented paper studies performance analysis of GT power plant incorporated with the adsorption refrigeration system. Based on the parameters such as energy and exergetic efficiencies, cooling to power ratio and exergetic specific fuel consumption are considered for the system performance evaluation.

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