The possibility of improving the overall efficiency of 100MW Delta IV Ughelli gas turbine power plant unit is presented. The study used Non-Dominated Sorting Genetic Algorithm (NSGA) to minimize the exergy destruction by optimally adjusting the operating parameters (decision variables). The adjusted operating variables were compressor pressure ratio rp, compressor isentropic efficiency ηic, turbine isentropic efficiency ηit, turbine inlet temperature T3, inlet flow rate of air ṁa and mass flow rate of fuel ṁf. The ambient temperature and pressure were held constant at 303K and 1.013 bar respectively because of location limitations. The optimization code was written in MATLAB programming language. The decision variables (constraints) were obtained randomly within the admissible range. The optimal values of the decision variables were obtained by minimizing the objective function (total exergy destruction). The choice of 300 generations was to enable the full utilization of the search space without putting strain on the computation time and complexity. The determined optimum values of the operating variables were rp= 12.41, ηic = 86.40%, ηit =89.12%, T3=1,486.36K ṁa =355.82kg/s and ṁf =8.62kg/s. The obtained optimal values of rp, ηic, ηit and T3 were higher than their base values while that for ṁa and ṁf were less. Increased rp brings about higher thermal efficiency while increased ηic guarantees less exergy destruction in the compressor. Increased ηic and T3 are crucial in decreasing the exergy destruction in the combustion chamber and in reducing the cycle fuel consumption. Reduced ṁa and ṁf play vital roles in the reduction of the total exergy destruction. They reduction also result in less emissions from the plant thereby decreasing the gas turbine’s negative impacts on the environment. Suggested coatings of compressor blades will lead to increased compressor efficiency whereas thermal barrier coatings of the hot sections of the plant will increase the lifespan of the parts at the designed firing temperature. Thermal barrier coatings also allow increased firing temperature while still maintaining the original designed lifespan.
| DOI | 10.11648/j.ijepe.20170605.11 |
| Published in | International Journal of Energy and Power Engineering (Volume 6, Issue 5, October 2017) |
| Page(s) | 68-74 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Optimization, Genetic Algorithm, Exergy Destruction, Thermal Efficiency
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APA Style
Obodeh Otunuya, Ugwuoke Philip Emeka. (2017). Optimal Operating Parameters of 100MW Delta IV Ughelli Gas Turbine Power Plant Unit. International Journal of Energy and Power Engineering, 6(5), 68-74. https://doi.org/10.11648/j.ijepe.20170605.11
ACS Style
Obodeh Otunuya; Ugwuoke Philip Emeka. Optimal Operating Parameters of 100MW Delta IV Ughelli Gas Turbine Power Plant Unit. Int. J. Energy Power Eng. 2017, 6(5), 68-74. doi: 10.11648/j.ijepe.20170605.11
AMA Style
Obodeh Otunuya, Ugwuoke Philip Emeka. Optimal Operating Parameters of 100MW Delta IV Ughelli Gas Turbine Power Plant Unit. Int J Energy Power Eng. 2017;6(5):68-74. doi: 10.11648/j.ijepe.20170605.11
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Download@article{10.11648/j.ijepe.20170605.11,
author = {Obodeh Otunuya and Ugwuoke Philip Emeka},
title = {Optimal Operating Parameters of 100MW Delta IV Ughelli Gas Turbine Power Plant Unit},
journal = {International Journal of Energy and Power Engineering},
volume = {6},
number = {5},
pages = {68-74},
doi = {10.11648/j.ijepe.20170605.11},
url = {https://doi.org/10.11648/j.ijepe.20170605.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20170605.11},
abstract = {The possibility of improving the overall efficiency of 100MW Delta IV Ughelli gas turbine power plant unit is presented. The study used Non-Dominated Sorting Genetic Algorithm (NSGA) to minimize the exergy destruction by optimally adjusting the operating parameters (decision variables). The adjusted operating variables were compressor pressure ratio rp, compressor isentropic efficiency ηic, turbine isentropic efficiency ηit, turbine inlet temperature T3, inlet flow rate of air ṁa and mass flow rate of fuel ṁf. The ambient temperature and pressure were held constant at 303K and 1.013 bar respectively because of location limitations. The optimization code was written in MATLAB programming language. The decision variables (constraints) were obtained randomly within the admissible range. The optimal values of the decision variables were obtained by minimizing the objective function (total exergy destruction). The choice of 300 generations was to enable the full utilization of the search space without putting strain on the computation time and complexity. The determined optimum values of the operating variables were rp= 12.41, ηic = 86.40%, ηit =89.12%, T3=1,486.36K ṁa =355.82kg/s and ṁf =8.62kg/s. The obtained optimal values of rp, ηic, ηit and T3 were higher than their base values while that for ṁa and ṁf were less. Increased rp brings about higher thermal efficiency while increased ηic guarantees less exergy destruction in the compressor. Increased ηic and T3 are crucial in decreasing the exergy destruction in the combustion chamber and in reducing the cycle fuel consumption. Reduced ṁa and ṁf play vital roles in the reduction of the total exergy destruction. They reduction also result in less emissions from the plant thereby decreasing the gas turbine’s negative impacts on the environment. Suggested coatings of compressor blades will lead to increased compressor efficiency whereas thermal barrier coatings of the hot sections of the plant will increase the lifespan of the parts at the designed firing temperature. Thermal barrier coatings also allow increased firing temperature while still maintaining the original designed lifespan.},
year = {2017}
}
TY - JOUR T1 - Optimal Operating Parameters of 100MW Delta IV Ughelli Gas Turbine Power Plant Unit AU - Obodeh Otunuya AU - Ugwuoke Philip Emeka Y1 - 2017/11/03 PY - 2017 N1 - https://doi.org/10.11648/j.ijepe.20170605.11 DO - 10.11648/j.ijepe.20170605.11 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 68 EP - 74 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20170605.11 AB - The possibility of improving the overall efficiency of 100MW Delta IV Ughelli gas turbine power plant unit is presented. The study used Non-Dominated Sorting Genetic Algorithm (NSGA) to minimize the exergy destruction by optimally adjusting the operating parameters (decision variables). The adjusted operating variables were compressor pressure ratio rp, compressor isentropic efficiency ηic, turbine isentropic efficiency ηit, turbine inlet temperature T3, inlet flow rate of air ṁa and mass flow rate of fuel ṁf. The ambient temperature and pressure were held constant at 303K and 1.013 bar respectively because of location limitations. The optimization code was written in MATLAB programming language. The decision variables (constraints) were obtained randomly within the admissible range. The optimal values of the decision variables were obtained by minimizing the objective function (total exergy destruction). The choice of 300 generations was to enable the full utilization of the search space without putting strain on the computation time and complexity. The determined optimum values of the operating variables were rp= 12.41, ηic = 86.40%, ηit =89.12%, T3=1,486.36K ṁa =355.82kg/s and ṁf =8.62kg/s. The obtained optimal values of rp, ηic, ηit and T3 were higher than their base values while that for ṁa and ṁf were less. Increased rp brings about higher thermal efficiency while increased ηic guarantees less exergy destruction in the compressor. Increased ηic and T3 are crucial in decreasing the exergy destruction in the combustion chamber and in reducing the cycle fuel consumption. Reduced ṁa and ṁf play vital roles in the reduction of the total exergy destruction. They reduction also result in less emissions from the plant thereby decreasing the gas turbine’s negative impacts on the environment. Suggested coatings of compressor blades will lead to increased compressor efficiency whereas thermal barrier coatings of the hot sections of the plant will increase the lifespan of the parts at the designed firing temperature. Thermal barrier coatings also allow increased firing temperature while still maintaining the original designed lifespan. VL - 6 IS - 5 ER -
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