The ever-increasing demand for energy worldwide is hurting our environment, especially global warming. This is due to the significant use of fossil fuels. Faced with this situation, research and innovation actions are directed toward reducing these emissions by various scientific solutions including the multi-objective optimization of thermal machines. Among these thermal machines, one can mention the micro-gas turbines. Indeed, internal and external heat transfers are made in these machines because of their small size. These heat transfers contribute to degrading their performances in particular their environmental discharges that increase brutally. The present study aims at applying the eco-design methodology to these machines to evaluate their actual performances according to the heat transfers and to improve them. For this study, a thermodynamic model coupled with an environmental and economic model that describes the global behavior of micro-gas turbines has been performed. This model, operating in two modes adiabatic and polytropic to appreciate the deviations, gives good results that agree with those of the literature. The model was then optimized in a multi-objective way by Genetic Algorithms (NSGA IIb) giving a set of Pareto optimal solutions. The ideal solutions’ selection was done by applying the TOPSIS multi-criteria decision-making technique and gave the following results in polytropic operation: net power: 858.4 kW; global warming potential: 0.9561 kg CO2/kWh and the estimated production cost of US$4256/hr. This ideal solution was subsequently analyzed by OpenLCA software to evaluate the whole environmental impacts characterized mainly by HTP (kg C6H6/kWh): 0.356; EP (kg PO43-/kWh): 0.525; PCOP (kg C2H4/kWh): 0.295; AP (kg SO2/kWh): 0.356.
| Published in | American Journal of Environmental Protection (Volume 12, Issue 1) |
| DOI | 10.11648/j.ajep.20231201.11 |
| Page(s) | 1-10 |
| 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 |
Eco-design, Micro-Gas Turbines, Multiobjective Optimization, Genetic Algorithm
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APA Style
Koffi N’guessan Marcellin, Adama Ouattara, Saraka Kouassi Joseph. (2023). Multiobjective Optimization of Micro-Gas Turbines Environmental Polluting Emissions Due to their Internal and External Thermal Losses. American Journal of Environmental Protection, 12(1), 1-10. https://doi.org/10.11648/j.ajep.20231201.11
ACS Style
Koffi N’guessan Marcellin; Adama Ouattara; Saraka Kouassi Joseph. Multiobjective Optimization of Micro-Gas Turbines Environmental Polluting Emissions Due to their Internal and External Thermal Losses. Am. J. Environ. Prot. 2023, 12(1), 1-10. doi: 10.11648/j.ajep.20231201.11
AMA Style
Koffi N’guessan Marcellin, Adama Ouattara, Saraka Kouassi Joseph. Multiobjective Optimization of Micro-Gas Turbines Environmental Polluting Emissions Due to their Internal and External Thermal Losses. Am J Environ Prot. 2023;12(1):1-10. doi: 10.11648/j.ajep.20231201.11
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Download@article{10.11648/j.ajep.20231201.11,
author = {Koffi N’guessan Marcellin and Adama Ouattara and Saraka Kouassi Joseph},
title = {Multiobjective Optimization of Micro-Gas Turbines Environmental Polluting Emissions Due to their Internal and External Thermal Losses},
journal = {American Journal of Environmental Protection},
volume = {12},
number = {1},
pages = {1-10},
doi = {10.11648/j.ajep.20231201.11},
url = {https://doi.org/10.11648/j.ajep.20231201.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20231201.11},
abstract = {The ever-increasing demand for energy worldwide is hurting our environment, especially global warming. This is due to the significant use of fossil fuels. Faced with this situation, research and innovation actions are directed toward reducing these emissions by various scientific solutions including the multi-objective optimization of thermal machines. Among these thermal machines, one can mention the micro-gas turbines. Indeed, internal and external heat transfers are made in these machines because of their small size. These heat transfers contribute to degrading their performances in particular their environmental discharges that increase brutally. The present study aims at applying the eco-design methodology to these machines to evaluate their actual performances according to the heat transfers and to improve them. For this study, a thermodynamic model coupled with an environmental and economic model that describes the global behavior of micro-gas turbines has been performed. This model, operating in two modes adiabatic and polytropic to appreciate the deviations, gives good results that agree with those of the literature. The model was then optimized in a multi-objective way by Genetic Algorithms (NSGA IIb) giving a set of Pareto optimal solutions. The ideal solutions’ selection was done by applying the TOPSIS multi-criteria decision-making technique and gave the following results in polytropic operation: net power: 858.4 kW; global warming potential: 0.9561 kg CO2/kWh and the estimated production cost of US$4256/hr. This ideal solution was subsequently analyzed by OpenLCA software to evaluate the whole environmental impacts characterized mainly by HTP (kg C6H6/kWh): 0.356; EP (kg PO43-/kWh): 0.525; PCOP (kg C2H4/kWh): 0.295; AP (kg SO2/kWh): 0.356.},
year = {2023}
}
TY - JOUR T1 - Multiobjective Optimization of Micro-Gas Turbines Environmental Polluting Emissions Due to their Internal and External Thermal Losses AU - Koffi N’guessan Marcellin AU - Adama Ouattara AU - Saraka Kouassi Joseph Y1 - 2023/01/10 PY - 2023 N1 - https://doi.org/10.11648/j.ajep.20231201.11 DO - 10.11648/j.ajep.20231201.11 T2 - American Journal of Environmental Protection JF - American Journal of Environmental Protection JO - American Journal of Environmental Protection SP - 1 EP - 10 PB - Science Publishing Group SN - 2328-5699 UR - https://doi.org/10.11648/j.ajep.20231201.11 AB - The ever-increasing demand for energy worldwide is hurting our environment, especially global warming. This is due to the significant use of fossil fuels. Faced with this situation, research and innovation actions are directed toward reducing these emissions by various scientific solutions including the multi-objective optimization of thermal machines. Among these thermal machines, one can mention the micro-gas turbines. Indeed, internal and external heat transfers are made in these machines because of their small size. These heat transfers contribute to degrading their performances in particular their environmental discharges that increase brutally. The present study aims at applying the eco-design methodology to these machines to evaluate their actual performances according to the heat transfers and to improve them. For this study, a thermodynamic model coupled with an environmental and economic model that describes the global behavior of micro-gas turbines has been performed. This model, operating in two modes adiabatic and polytropic to appreciate the deviations, gives good results that agree with those of the literature. The model was then optimized in a multi-objective way by Genetic Algorithms (NSGA IIb) giving a set of Pareto optimal solutions. The ideal solutions’ selection was done by applying the TOPSIS multi-criteria decision-making technique and gave the following results in polytropic operation: net power: 858.4 kW; global warming potential: 0.9561 kg CO2/kWh and the estimated production cost of US$4256/hr. This ideal solution was subsequently analyzed by OpenLCA software to evaluate the whole environmental impacts characterized mainly by HTP (kg C6H6/kWh): 0.356; EP (kg PO43-/kWh): 0.525; PCOP (kg C2H4/kWh): 0.295; AP (kg SO2/kWh): 0.356. VL - 12 IS - 1 ER -
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