Optimization of Combined Cycle Power Plant Using Sequential Quadratic Programming

Meigounpoory, Mohammad Reza; Ahmadi, Pouria; Ghaffarizadeh, Ahmad Reza; Khanmohammadi, Shoaib

doi:10.1115/ht2008-56129

Cited by 13 publications

(5 citation statements)

References 2 publications

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“…The lower heating value (LHV), referred to as the net calorific value, of a fuel is determined by combusting a specified quantity of the fuel (initially at 25℃) and restoring the temperature of the combustion products to 150℃. In the case of gaseous fuels with a composition of C x H y , a specific experimental equation is employed to calculate the parameter ξ, representing the fuel exergy [21],…”

Section: Exergy Analysismentioning

confidence: 99%

Energy and Exergy Evaluation of a Dual Fuel Combined Cycle Power Plant: An Optimization Case Study of the Khoy Plant

Rezaei¹

2023

PEET

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This study examines the energy and exergy performance of the Khoy dual fuel combined cycle power plant, focusing on dual pressure heat recovery steam generators (HRSGs). The aim is to identify an optimal design through the development of a thermodynamic model using ASPEN PLUS software. In the simulation, isentropic efficiencies of high-pressure and low-pressure steam turbines, gas turbines, and compressors are assumed to be 0.85, 0.80, 0.85, and 0.85, respectively. Various practical parameters, such as compressor pressure, condenser pressure, high-pressure steam turbine pressure, and outlet and inlet temperatures of superheaters and turbines, are investigated for their effects on energy and exergy efficiencies. The analysis reveals that combustion chamber I and combustion chamber II contribute the highest amounts of exergy destruction, accounting for 21.80% and 21.50% of the total exergy destruction, respectively. These areas are identified as requiring improvement. Based on the findings, an optimal design is presented, resulting in significant enhancements in energy and exergy efficiencies. The energy efficiency experiences a remarkable increase of 8.75%, while the exergy efficiency demonstrates a substantial improvement of 22.04%. This underscores the superiority of the optimized power plant configuration and provides valuable insights for designers, engineers, and power plant operators. In conclusion, this study advances the understanding of the energy and exergy performance of the Khoy dual fuel combined cycle power plant and offers guidance for optimizing its design and operation.

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Section: Exergy Analysismentioning

confidence: 99%

Energy and Exergy Evaluation of a Dual Fuel Combined Cycle Power Plant: An Optimization Case Study of the Khoy Plant

Rezaei¹

2023

PEET

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“…Along with system simulation and economic analysis, mathematical optimization was applied to gas turbine power cycles [14][15][16][17][18]. For the optimization, several algorithms were selected depending on the type of optimization, e.g., the mixed integer linear programming (MINLP), genetic algorithm (GA), simplex method, and sequential quadratic programming (SQP).…”

Section: Simple Cyclementioning

confidence: 99%

“…The inequality constraints were selected considering the technological status of the gas turbine components [18,38,39,44]. As discussed in Section 4.2 and shown in Table A1, design variables, such as the air compressor pressure ratio, compressor and turbine isentropic efficiencies, were included in the cost equations.…”

Section: Optimization Proceduresmentioning

confidence: 99%

Life-Cycle Cost Minimization of Gas Turbine Power Cycles for Distributed Power Generation Using Sequential Quadratic Programming Method

et al. 2018

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The life-cycle cost reduction of medium-class gas turbine power plants was investigated using the mathematical optimization technique. Three different types of gas turbine power cycles-a simple cycle, a regenerative cycle, and a combined cycle-were examined, and their optimal design conditions were determined using the sequential quadratic programming (SQP) technique. As a modeling reference, the Siemens SGT-700 gas turbine was chosen and its technical data were used for system simulation and validation. Through optimization using the SQP method, the overall costs of the simple cycle, regenerative cycle, and combined cycle were reduced by 7.4%, 12.0%, and 3.9%, respectively, compared to the cost of the base cases. To examine the effect of economic parameters on the optimal design condition and cost, different values of fuel costs, interest rates, and discount rates were applied to the cost calculation, and the optimization results were analyzed and compared. The values were chosen to reflect different countries' economic situations: South Korea, China, India, and Indonesia. For South Korea and China, the optimal design condition is proposed near the upper bound of the variation range, implying that the efficiency improvement plays an important role in cost reduction. For India and Indonesia, the optimal condition is proposed in the middle of the variation ranges. Even for India and Indonesia, the fuel cost has the largest contribution to the total cost, accounting for more than 60%.Energies 2018, 11, 3511 2 of 21As an alternative to large-scale, centralized power plants, small-scale power plants located at or near the consumer sites can supply electricity; these small power generators are called distributed (or decentralized) power generation (DPG). The use of DPG is increasing; it was responsible for 21% of the global electricity generation in 2000, and it is projected to account for approximately 40% of the global electricity increase in 2020 [5].Among several available technologies such as photovoltaic panels, wind turbines, internal combustion engines, and fuel cells [6,7], gas turbines were recognized as the most attractive option from the technological and economic standpoints [5]. However, power generation using small-or medium-sized gas turbines still remains expensive compared to the large-scale power generators [8] due to the relatively higher investment costs and lower electrical efficiencies. Therefore, reducing the operating costs of gas turbines by means of the mathematical optimization is crucial, particularly in distributed power generation areas. As shown in Table 1, several commercial gas turbine products exist that are suitable for use in large factories and urban buildings [8][9][10][11].

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“…The cost function for each composition of the multigeneration system in terms of design parameters[8,9]. exp (C 32 comb − 24 )) 21 = 46.08, 22 = 0.995 23 = 0.018, 24 = 26.4…”

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confidence: 99%

Modeling and Assessment of a Biomass Gasification Integrated System for Multigeneration Purpose

Khanmohammadi

Atashkari

Kouhikamali

2016

International Journal of Chemical Engineering

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The use of biomass due to the reduction in greenhouse gas emissions and environmental impacts has attracted many researchers’ attention in the recent years. Access to an energy conversion system which is able to have the optimum performance for applying valuable low heating value fuels has been considered by many practitioners and scholars. This paper focuses on the accurate modeling of biomass gasification process and the optimal design of a multigeneration system (heating, cooling, electrical power, and hydrogen as energy carrier) to take the advantage of this clean energy. In the process of gasification modeling, a thermodynamic equilibrium model based on Gibbs energy minimization is used. Also, in the present study, a detailed parametric analysis of multigeneration system for undersigning the behavior of objective functions with changing design parameters and obtaining the optimal design parameters of the system is done as well. The results show that with exergy efficiency as an objective function this parameter can increase from 19.6% in base case to 21.89% in the optimized case. Also, for the total cost rate of system as an objective function it can decrease from 154.4 $/h to 145.1 $/h.

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Optimization of Combined Cycle Power Plant Using Sequential Quadratic Programming

Cited by 13 publications

References 2 publications

Energy and Exergy Evaluation of a Dual Fuel Combined Cycle Power Plant: An Optimization Case Study of the Khoy Plant

Energy and Exergy Evaluation of a Dual Fuel Combined Cycle Power Plant: An Optimization Case Study of the Khoy Plant

Life-Cycle Cost Minimization of Gas Turbine Power Cycles for Distributed Power Generation Using Sequential Quadratic Programming Method

Modeling and Assessment of a Biomass Gasification Integrated System for Multigeneration Purpose

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