The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review

Improving the efficiency and reducing the pollutants are the critical concerns for any design of power generation plants. Identifying the characteristics of the Combined Cycle Gas Turbine (CCGT) system and locating the optimum operation conditions via simulation models are irreplaceable route due to...

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Main Authors: Ibrahim, Thamir K., Mohammed, Mohammed Kamil, Awad, Omar I., M. M., Rahman, G., Najafi, F., Basrawi, R., Mamat
Format: Article
Language:English
Published: Elsevier 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/2/The%20optimum%20performance%20of%20the%20combined%20cycle%20power%20plant-%20A%20comprehensive%20review%201.pdf
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spelling ump-179722018-01-09T01:26:37Z http://umpir.ump.edu.my/id/eprint/17972/ The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review Ibrahim, Thamir K. Mohammed, Mohammed Kamil Awad, Omar I. M. M., Rahman G., Najafi F., Basrawi R., Mamat T Technology (General) Improving the efficiency and reducing the pollutants are the critical concerns for any design of power generation plants. Identifying the characteristics of the Combined Cycle Gas Turbine (CCGT) system and locating the optimum operation conditions via simulation models are irreplaceable route due to the huge system and the impossibility of experimental investigations. To that end, this paper presents modelling analysis with the aim of enhancing the performance and optimization conditions seeking of the (CCGT) power plant with various configurations. The developed simulation models are integrated to encapsulate thermal analysis according to thermodynamics principles, optimization techniques, error analysis, and performance metrics assessment of the various CCGT system configurations using the MATLAB 10A software. A statistical tool, ANOVA, is utilized to assess the results and to develop correlations between the power outputs and performance metrics of the CCGT plants. The new correlations which are developed within the frame of this work are of acceptable accuracy for all the considered range of the simulation data. The coefficient of determination (R2) is calculated as 0.985 which is considered satisfactory as well. The validity of the correlations is investigated against actual performance and operation data extracted from an actual power generation plant, the MARAFIQ CCGT plant in KSA. Consequently, an error analysis which is carried out considering the actual operation and performance records of MARAFIQ CCGT plant as a benchmark proved the validity of the model. An error of about 0.8104% is found. The operation parameters and performance metrics of the CCGT plant are ultimately assessed against variations of selected parameters via the developed model. Adaptive Neuro-Fuzzy System (ANFIS) is used as an optimization technique. The highest attained power output and thermal efficiency were 1540 MW and 61%, respectively. Turbine inlet temperature is found to be the key parameter for the optimum performance (power and thermal efficiency). The models developed in this work are a powerful tool for analyzing and optimising CCGT which take the place of very expensive and strenuous experimental works. Elsevier 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17972/2/The%20optimum%20performance%20of%20the%20combined%20cycle%20power%20plant-%20A%20comprehensive%20review%201.pdf Ibrahim, Thamir K. and Mohammed, Mohammed Kamil and Awad, Omar I. and M. M., Rahman and G., Najafi and F., Basrawi and R., Mamat (2017) The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review. Renewable and Sustainable Energy Reviews, 79. pp. 457-474. ISSN 1364-0321 https://doi.org/10.1016/j.rser.2017.05.060 doi: https://doi.org/10.1016/j.rser.2017.05.060
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ibrahim, Thamir K.
Mohammed, Mohammed Kamil
Awad, Omar I.
M. M., Rahman
G., Najafi
F., Basrawi
R., Mamat
The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
description Improving the efficiency and reducing the pollutants are the critical concerns for any design of power generation plants. Identifying the characteristics of the Combined Cycle Gas Turbine (CCGT) system and locating the optimum operation conditions via simulation models are irreplaceable route due to the huge system and the impossibility of experimental investigations. To that end, this paper presents modelling analysis with the aim of enhancing the performance and optimization conditions seeking of the (CCGT) power plant with various configurations. The developed simulation models are integrated to encapsulate thermal analysis according to thermodynamics principles, optimization techniques, error analysis, and performance metrics assessment of the various CCGT system configurations using the MATLAB 10A software. A statistical tool, ANOVA, is utilized to assess the results and to develop correlations between the power outputs and performance metrics of the CCGT plants. The new correlations which are developed within the frame of this work are of acceptable accuracy for all the considered range of the simulation data. The coefficient of determination (R2) is calculated as 0.985 which is considered satisfactory as well. The validity of the correlations is investigated against actual performance and operation data extracted from an actual power generation plant, the MARAFIQ CCGT plant in KSA. Consequently, an error analysis which is carried out considering the actual operation and performance records of MARAFIQ CCGT plant as a benchmark proved the validity of the model. An error of about 0.8104% is found. The operation parameters and performance metrics of the CCGT plant are ultimately assessed against variations of selected parameters via the developed model. Adaptive Neuro-Fuzzy System (ANFIS) is used as an optimization technique. The highest attained power output and thermal efficiency were 1540 MW and 61%, respectively. Turbine inlet temperature is found to be the key parameter for the optimum performance (power and thermal efficiency). The models developed in this work are a powerful tool for analyzing and optimising CCGT which take the place of very expensive and strenuous experimental works.
format Article
author Ibrahim, Thamir K.
Mohammed, Mohammed Kamil
Awad, Omar I.
M. M., Rahman
G., Najafi
F., Basrawi
R., Mamat
author_facet Ibrahim, Thamir K.
Mohammed, Mohammed Kamil
Awad, Omar I.
M. M., Rahman
G., Najafi
F., Basrawi
R., Mamat
author_sort Ibrahim, Thamir K.
title The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
title_short The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
title_full The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
title_fullStr The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
title_full_unstemmed The Optimum Performance of the Combined Cycle Power Plant: A Comprehensive Review
title_sort optimum performance of the combined cycle power plant: a comprehensive review
publisher Elsevier
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/
http://umpir.ump.edu.my/id/eprint/17972/2/The%20optimum%20performance%20of%20the%20combined%20cycle%20power%20plant-%20A%20comprehensive%20review%201.pdf
first_indexed 2023-09-18T22:25:09Z
last_indexed 2023-09-18T22:25:09Z
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