Analysis of increasing efficiency of modern combined cycle power plant: A case study

For future sustainable seawater desalination, the importance of achieving better energy efficiency of the existing 19,500 commercial-scale desalination plants cannot be over emphasized. The major concern of the desalination industry is the inadequate approach to energy efficiency evaluation of diverse seawater desalination processes by omitting the grade of energy supplied. These conventional approaches would suffice if the efficacy comparison were to be conducted for the same energy input processes. The misconception of considering all derived energies as equivalent in the desalination industry has severe economic and environmental consequences. In the realms of the energy and desalination system planners, serious judgmental errors in the process selection of green installations are made unconsciously as the efficacy data are either flawed or inaccurate. Inferior efficacy technologies’ implementation decisions were observed in many water-stressed countries that can burden a country’s economy immediately with higher unit energy cost as well as cause more undesirable environmental effects on the surroundings. In this article, a standard primary energy-based thermodynamic framework is presented that addresses energy efficacy fairly and accurately. It shows clearly that a thermally driven process consumes 2.5–3% of standard primary energy (SPE) when combined with power plants. A standard universal performance ratio-based evaluation method has been proposed that showed all desalination processes performance varies from 10–14% of the thermodynamic limit. To achieve 2030 sustainability goals, innovative processes are required to meet 25–30% of the thermodynamic limit.

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“… Combined cycle efficiency and environment impact trend from 1870–2018 [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. …”

Section: Figurementioning

confidence: 99%

“…Recently, General Electric (GE) in partnership with EDF made history and set a Guinness World Records title for operating the world’s most efficient combined-cycle power plant at 62.22%. These gradual improvements in power plant efficiencies will help to save fossil fuel, CO 2 emissions and additional water consumption [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Desalination Processes’ Efficiency and Future Roadmap

Shahzad

Burhan

Ybyraiymkul

et al. 2019

Entropy

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“…This unit will operate at ultra-supercritical steam parameters (with a pressure of about 35 MPa and temperature up to 760 • C), and its efficiency is expected to reach approximately 55% [17,18]. Such high steam pressures and temperatures require special materials and technologies, the use of which in Poland remains confined to a rather distant future [19]. At present, the highest efficiencies are reached in combined-cycle power plants (slightly over 60%, designed by Siemens), but these power plants are not coal-fired [20][21][22].…”

Section: Problem Posingmentioning

confidence: 99%

Thermodynamic Cycle Concepts for High-Efficiency Power Plans. Part A: Public Power Plants 60+

et al. 2019

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An analysis was carried out for different thermodynamic cycles of power plants with air turbines. Variants with regeneration and different cogeneration systems were considered. In the paper, we propose a new modification of a gas turbine cycle with the combustion chamber at the turbine outlet. A special air by-pass system of the combustor was applied and, in this way, the efficiency of the turbine cycle was increased by a few points. The proposed cycle equipped with a regenerator can provide higher efficiency than a classical gas turbine cycle with a regenerator. The best arrangements of combined air–steam cycles achieved very high values for overall cycle efficiency—that is, higher than 60%. An increase in efficiency to such degree would decrease fuel consumption, contribute to the mitigation of carbon dioxide emissions, and strengthen the sustainability of the region served by the power plant. This increase in efficiency might also contribute to the economic resilience of the area.

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“…Proposed cooling technique increases CCPP overall efficiency, while simultaneously, such technique reduces plant flexibility and increases power plant start-up time. In [17] various gas turbine improvements in a modern CCPP are analyzed and is concluded that industry -known solutions such as sequential combustion can significantly increase overall plant efficiency.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

et al. 2019

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In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for combined cycle power plant power output estimation is presented. Dataset used in this research is a part of publicly available UCI Machine Learning Repository and it consists of 9568 data points (power plant operating regimes) that is divided on training dataset that consists of 7500 data points and testing dataset containing 2068 data points. Presented research was performed with aim of increasing regression performances of MLP in comparison to ones available in the literature by utilizing heuristic algorithm. The GA described in this paper is performed by using mutation and crossover procedures. These procedures are utilized for design of 20 different chromosomes in 50 different generations. MLP configurations that are designed with GA implementation are validated by using Bland - Altman (B-A) analysis. By utilizing GA, MLP with five hidden layers of 80,25,65,75 and 80 nodes, respectively, is designed. For aforementioned MLP, k - fold cross-validation is performed in order to examine its generalization performances. The Root Mean Square Error ( R M S E ) value achieved with aforementioned MLP is 4.305 , that is significantly lower in comparison with MLP presented in available literature, but still higher than several complex algorithms such as KStar and tree based algorithms.

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Analysis of increasing efficiency of modern combined cycle power plant: A case study

Cited by 61 publications

References 6 publications

Desalination Processes’ Efficiency and Future Roadmap

Desalination Processes’ Efficiency and Future Roadmap

Thermodynamic Cycle Concepts for High-Efficiency Power Plans. Part A: Public Power Plants 60+

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

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