Modelling and Assessment of Effect of Operation Parameters on Gas Turbine Power Plant Performance using First and Second Laws of Thermodynamics

Traditionally, gas turbine power plant preventive maintenance schedules are set with constant intervals based on recommendations from the equipment suppliers. Preventive maintenance is based on fleet-wide experience as a guideline as long as individual unit experience is not available. In reality, the operating conditions for each gas turbine may vary from site to site and from unit to unit. Furthermore, the gas turbine is a repairable deteriorating system, and preventive maintenance usually restores only part of its performance. This suggests a gas turbine needs more frequent inspection and maintenance as it ages. A unit-specific sequential preventive maintenance approach is therefore needed for gas turbine power plant preventive maintenance scheduling. Traditionally, the optimization criteria for preventive maintenance scheduling is usually cost based. However, in the deregulated electric power market, a profit-based optimization approach is expected to be more effective than the cost-based approach. In such an approach, power plant performance, reliability, and the market dynamics are considered in a joint fashion. In this paper, a novel idea that economic factors drive maintenance frequency and expense to more frequent repairs and greater expense as equipment ages is introduced, and a profit-based unit-specific sequential preventive maintenance scheduling methodology is developed. To demonstrate the feasibility of the proposed approach, a conceptual level study is performed using a base load combined cycle power plant with a single gas turbine unit.

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A Sequential Approach for Gas Turbine Power Plant Preventive Maintenance Scheduling

ASME 2005 Power Conference ◽

10.1115/pwr2005-50131 ◽

2005 ◽

Cited By ~ 2

Author(s):

Yongjun Zhao ◽

Vitali Volovoi ◽

Mark Waters ◽

Dimitri Mavris

Keyword(s):

Power Plant ◽

Gas Turbine ◽

Preventive Maintenance ◽

Gas Turbines ◽

Combined Cycle ◽

Operating Conditions ◽

Maintenance Scheduling ◽

Plant Performance ◽

Optimization Approach ◽

Gas Turbine Power Plant

Traditionally the gas turbine power plant preventive maintenances are scheduled with constant maintenance intervals based on recommendations from the equipment suppliers. The preventive maintenances are based on fleet wide experiences, and they are scheduled in a one-size-fit-all fashion. However, in reality, the operating conditions for each gas turbine may vary from site to site, and from unit to unit. Furthermore, the gas turbine is a repairable deteriorating system, and preventive maintenance usually restores only part of its performance. This suggests the gas turbines need more frequent inspection and maintenance as it ages. A unit specific sequential preventive maintenance approach is therefore needed for gas turbine power plants preventive maintenance scheduling. Traditionally the optimization criteria for preventive maintenance scheduling is usually cost based. In the deregulated electric power market, a profit based optimization approach is expected to be more effective than the cost based approach. In such an approach, power plant performance, reliability, and the market dynamics are considered in a joint fashion. In this paper, a novel idea that economics drive maintenance expense and frequency to more frequent repairs and greater expense as the equipment and components age is introduced, and a profit based unit specific sequential preventive maintenance scheduling methodology is developed. To demonstrate the feasibility of the proposed approach, this methodology is implemented using a base load combined cycle power plant with single gas turbine unit.

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A kernel partial least squares method for gas turbine power plant performance prediction

2012 24th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2012.6244501 ◽

2012 ◽

Cited By ~ 1

Author(s):

Fei Chu ◽

Fuli Wang ◽

Xiaogang Wang ◽

Shuning Zhang

Keyword(s):

Power Plant ◽

Least Squares ◽

Gas Turbine ◽

Partial Least Squares ◽

Performance Prediction ◽

Least Squares Method ◽

Plant Performance ◽

Kernel Partial Least Squares ◽

Partial Least Squares Method ◽

Gas Turbine Power Plant

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E213 PLANT PERFORMANCE AND ECONOMIC STUDY ON OXY FUEL GAS TURBINE POWER PLANT UTILIZING NUCLEAR STEAM GENERATOR(Power System-3)

The Proceedings of the International Conference on Power Engineering (ICOPE) ◽

10.1299/jsmeicope.2009.2._2-425_ ◽

2009 ◽

Vol 2009.2 (0) ◽

pp. _2-425_-_2-430_

Author(s):

Kanji OSHIMA ◽

Yohji UCHIYAMA

Keyword(s):

Power Plant ◽

Power System ◽

Gas Turbine ◽

Steam Generator ◽

Plant Performance ◽

Economic Study ◽

Fuel Gas ◽

Gas Turbine Power Plant

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Study of an External Fired Gas Turbine Power Plant Fed by Solid Fuel

Volume 2: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations ◽

10.1115/2000-gt-0015 ◽

2000 ◽

Cited By ~ 4

Author(s):

G. Riccio ◽

F. Martelli ◽

S. Maltagliati

Keyword(s):

Power Plant ◽

Gas Turbine ◽

Solid Fuel ◽

Pressure Ratio ◽

Plant Performance ◽

Current Application ◽

Solid Fuel Combustion ◽

Technical Discussion ◽

External Combustion ◽

Gas Turbine Power Plant

The study of a gas turbine plant fed by solid fuel is discussed in this paper. The plant presented is a small one, 3 MWel, externally fired by the combustion of solid biomass. The aim of the technical discussion is to find both the energetic optimisation and the actual feasibility of the plant through available industrial components (gas turbine, heat exchanger, biomass combustor). The final optimal configuration found in the present study allows for a mix of internal (gas) and external (solid fuel) combustion. In this way higher maximum cycle temperature than in standard biomasss combustors are reached through a small addition of gaseous or liquid fuel. The technical study is based on an optimum size and configuration of the power plant, previously defined, with respect to the performance and the complexity of the plant, and in comparison with other energy conversion processes of biomass such as pyrolysis or gasification. A sensitivity analysis permits the determination an optimal gas turbine in terms of pressure ratio and TIT for the current application and indicates the most important parameters that affect the power plant performance, i.e. the components on which the performance of the plant may depend. Economic data show that the direct external combustion of solid fuel has a more favourable trade-off than the configuration of the plant with gasifier.

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Thermodynamic and Economic Evaluation of Gas Turbine Power Plants

Journal of Engineering Sciences ◽

10.21272/jes.2020.7(1).g1 ◽

2020 ◽

Vol 7 (1) ◽

pp. G1-G8

Author(s):

T. Oyegoke ◽

I. I. Akanji ◽

O. O. Ajayi ◽

E. A. Obajulu ◽

A. O. Abemi

Keyword(s):

Power Plant ◽

Combustion Chamber ◽

Gas Turbine ◽

Payback Period ◽

Operating Conditions ◽

Plant Performance ◽

Second Law ◽

Profitability Analysis ◽

Second Law Analysis ◽

Gas Turbine Power Plant

Thermodynamic analysis and economic feasibility of a gas turbine power plant using a theoretical approach are studied here. The operating conditions of Afam Gas Power Plant, Nigeria are utilized. A modern gas turbine power plant is composed of three key components which are the compressor, combustion chamber, and turbine. The plants were analyzed in different control volumes, and plant performance was estimated by component-wise modeling. Mass and energy conservation laws were applied to each component, and a complete energy balance conducted for each component. The lost energy was calculated for each control volume, and cumulative performance indices such as thermal efficiency and power output were also calculated. The profitability of the proposed project was analyzed using the Return on Investment (ROI), Net Present Worth (NPW), Payback Period (PBP), and Internal Rate of Return (IRR). First law analysis reveals that 0.9 % of the energy supplied to the compressor was lost while 99.1 % was adequately utilized. 7.0 % energy was generated within the Combustion Chamber as a result of the combustion reaction, while 33.2 % of the energy input to the Gas Turbine was lost, and 66.8 % was adequately converted to shaft work which drives both compressor and electric generator. Second law analysis shows that the combustion chamber unit recorded lost work of 248.27 MW (56.1 % of the summation), and 77.33 MW (17.5 % of the summation) for Gas Turbine, while air compressor recorded 11.8 MW (2.7 %). Profitability analysis shows that the investment criteria are sensitive to change in the price of natural gas. Selling electricity at the current price set by the Nigerian Electricity Regulation Commission (NERC) at zero subsidies and an exchange rate of 365 NGN/kWh is not profitable, as the analysis of the investment gave an infinite payback period. The investment becomes profitable only at a 45 % subsidy regime. Keywords: energy conversion system, gas turbine, economic analysis, second law analysis, power plant.

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