Coal Energy Production Efficiency Improvement Strategy with Integrated Genetic Algorithm and Its Economic Impact Assessment
DOI:
https://doi.org/10.4108/ew.8976Keywords:
Coal Energy Production, Genetic Algorithms, Economic Impact, Environmental Impact, Pollution Abatement, Social Cost-Benefit AnalysisAbstract
INTRODUCTION: Global energy systems heavily rely on coal energy generation, particularly in emerging nations.
OBJECTIVES: Strategies that maximize the efficiency of coal energy generation while limiting environmental harm are essential to addressing these issues. With an emphasis on increasing productivity and minimizing environmental effects, this study suggests an integrated strategy for optimizing coal energy production processes using Genetic Algorithms (GA).
METHODS: Key factors, including GDP growth rate, pollution abatement investment, coal intensity, and clean technology efficiency, are all optimized using GA in the suggested approach. Finding the best combination of these factors to maximize coal production efficiency while reducing CO2 emissions and other pollutants is made possible by GA-based optimization. A Social Cost-Benefit Analysis (SCBA) and environmental impact appraisal are also included to assess various scenarios' economic and environmental consequences. The findings show that, particularly in situations with slower GDP growth, more pollution abatement expenditures and cleaner technology adoption result in notable emissions reductions and increased overall efficiency.
RESULTS: The results show how crucial it is to balance environmental sustainability and economic prosperity. The study offers insightful information to industry executives and regulators, highlighting GA's potential to maximize the efficiency of coal energy generation.
CONCLUSION: Scenario A provided the best economic advantages, with a greater GDP growth rate and higher environmental costs.
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References
[1] Marinina, O., Kirsanova, N., & Nevskaya, M. (2022). Circular Economy Models in Industry: Developing a Conceptual Framework. Energies, 15(24), 9376. https://doi.org/10.3390/en15249376 DOI: https://doi.org/10.3390/en15249376
[2] In, S. Y., Manav, B., Venereau, C. M. A., Cruz, L. E. R., & Weyant, J. P. (2022). Climate-related financial risk assessment on energy infrastructure investments. Renewable and Sustainable Energy Reviews, 167, 112689. https://doi.org/10.1016/j.rser.2022.112689 DOI: https://doi.org/10.1016/j.rser.2022.112689
[3] Gheewala, S. H. (2023). Life cycle assessment for sustainability assessment of biofuels and bioproducts. Biofuel Research Journal, 10(1), 1810–1815. https://doi.org/10.18331/BRJ2023.10.1.5 DOI: https://doi.org/10.18331/BRJ2023.10.1.5
[4] Voumik, L. C., Islam, Md. A., Ray, S., Yusop, N. Y. M., & Ridzuan, A. R. (2023). CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment. Energies, 16(3), 1044. https://doi.org/10.3390/en16031044 DOI: https://doi.org/10.3390/en16031044
[5] Backes, J. G., Traverso, M., & Horvath, A. (2023). Environmental assessment of a disruptive innovation: Comparative cradle-to-gate life cycle assessments of carbon-reinforced concrete building component. International Journal of Life Cycle Assessment, 28(1), 16–37. https://doi.org/10.1007/s11367-022-02115-z DOI: https://doi.org/10.1007/s11367-022-02115-z
[6] Wei, R., Ayub, B., & Dagar, V. (2022). Environmental Benefits From Carbon Tax in the Chinese Carbon Market: A Roadmap to Energy Efficiency in the Post-COVID-19 Era. Frontiers in Energy Research, 10, 832578. https://doi.org/10.3389/fenrg.2022.832578 DOI: https://doi.org/10.3389/fenrg.2022.832578
[7] Barbera, E., Mio, A., Massi Pavan, A., Bertucco, A., & Fermeglia, M. (2022). Fuelling power plants by natural gas: An analysis of energy efficiency, economical aspects and environmental footprint based on detailed process simulation of the whole carbon capture and storage system. Energy Conversion and Management, 252, 115072. https://doi.org/10.1016/j.enconman.2021.115072 DOI: https://doi.org/10.1016/j.enconman.2021.115072
[8] Wu, Q., Tan, C., Wang, D., Wu, Y., Meng, J., & Zheng, H. (2023). How carbon emission prices accelerate net zero: Evidence from China’s coal-fired power plants. Energy Policy, 177, 113524. https://doi.org/10.1016/j.enpol.2023.113524 DOI: https://doi.org/10.1016/j.enpol.2023.113524
[9] Amin, M., et al. (2022). Hydrogen production through renewable and non-renewable energy processes and their impact on climate change. International Journal of Hydrogen Energy, 47(77), 33112–33134. https://doi.org/10.1016/j.ijhydene.2022.07.172 DOI: https://doi.org/10.1016/j.ijhydene.2022.07.172
[10] Ainou, F. Z., Ali, M., & Sadiq, M. (2022). Green energy security assessment in Morocco: Green finance as a step toward sustainable energy transition. Environmental Science and Pollution Research, 30(22), 61411–61429. https://doi.org/10.1007/s11356-022-19153-7 DOI: https://doi.org/10.1007/s11356-022-19153-7
[11] Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2023). Inclusive Economic Growth: Relationship between Energy and Governance Efficiency. Energies, 16(6), 2511. https://doi.org/10.3390/en16062511 DOI: https://doi.org/10.3390/en16062511
[12] Debiagi, P., Rocha, R. C., Scholtissek, A., Janicka, J., & Hasse, C. (2022). Iron as a sustainable chemical carrier of renewable energy: Analysis of opportunities and challenges for retrofitting coal-fired power plants. Renewable and Sustainable Energy Reviews, 165, 112579. https://doi.org/10.1016/j.rser.2022.112579 DOI: https://doi.org/10.1016/j.rser.2022.112579
[13] Hia, A. K., et al. (2023). Managing Coal Enterprise Competitiveness in the Context of Global Challenges. Emerging Science Journal, 7(2), 589–608. https://doi.org/10.28991/ESJ-2023-07-02-021 DOI: https://doi.org/10.28991/ESJ-2023-07-02-021
[14] Na, H., Sun, J., Qiu, Z., Yuan, Y., & Du, T. (2022). Optimize energy efficiency, energy consumption and CO2 emission in typical iron and steel manufacturing processes. Energy, 257, 124822. https://doi.org/10.1016/j.energy.2022.124822 DOI: https://doi.org/10.1016/j.energy.2022.124822
[15] Kabeyi, M. J. B., & Olanrewaju, O. A. (2022). Sustainable Energy Transition for Renewable and Low Carbon Grid Electricity Generation and Supply. Frontiers in Energy Research, 9, 743114. https://doi.org/10.3389/fenrg.2021.743114 DOI: https://doi.org/10.3389/fenrg.2021.743114
[16] Yang, Z., Wang, M.-C., Chang, T., Wong, W.-K., & Li, F. (2022). Which Factors Determine CO2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test. Energies, 15(7), 2450. https://doi.org/10.3390/en15072450 DOI: https://doi.org/10.3390/en15072450
[17] Jiang, W., & Sun, Y. (2023). Which is the more important factor of carbon emission, coal consumption or industrial structure? Energy Policy, 176, 113508. https://doi.org/10.1016/j.enpol.2023.113508 DOI: https://doi.org/10.1016/j.enpol.2023.113508
[18] Cormos, C.-C. (2022). Decarbonization options for cement production process: A techno-economic and environmental evaluation. Fuel, 320, 123907. https://doi.org/10.1016/j.fuel.2022.123907 DOI: https://doi.org/10.1016/j.fuel.2022.123907
[19] Khalid, I., Ahmad, T., & Ullah, S. (2022). Environmental impact assessment of CPEC: A way forward for sustainable development. International Journal of Development and Innovation, 21(1), 159–171. https://doi.org/10.1108/IJDI-08-2021-0154 DOI: https://doi.org/10.1108/IJDI-08-2021-0154
[20] Wei, X., et al. (2022). Roadmap to carbon emissions neutral industrial parks: Energy, economic and environmental analysis. Energy, 238, 121732. https://doi.org/10.1016/j.energy.2021.121732 DOI: https://doi.org/10.1016/j.energy.2021.121732
[21] Shatar, N. M., Sabri, M. F. M., Salleh, M. F. M., & Ani, M. H. (2023). Energy, exergy, economic, and environmental analysis for solar still using a partially coated condensing cover with thermoelectric cover cooling. Journal of Cleaner Production, 387, 135833. https://doi.org/10.1016/j.jclepro.2022.135833 DOI: https://doi.org/10.1016/j.jclepro.2022.135833
[22] Wu, N., Lan, K., & Yao, Y. (2023). An integrated techno-economic and environmental assessment for carbon capture in hydrogen production by biomass gasification. Resources, Conservation and Recycling, 188, 106693. https://doi.org/10.1016/j.resconrec.2022.106693 DOI: https://doi.org/10.1016/j.resconrec.2022.106693
[23] Deng, Y., Jiang, W., & Wang, Z. (2023). Economic resilience assessment and policy interaction of coal resource oriented cities for the low carbon economy based on AI. Resources Policy, 82, 103522. https://doi.org/10.1016/j.resourpol.2023.103522 DOI: https://doi.org/10.1016/j.resourpol.2023.103522
[24] Dong, Z., Ye, X., Jiang, J., & Li, C. (2022). Life cycle assessment of coal-fired solar-assisted carbon capture power generation system integrated with organic Rankine cycle. Journal of Cleaner Production, 356, 131888. https://doi.org/10.1016/j.jclepro.2022.131888 DOI: https://doi.org/10.1016/j.jclepro.2022.131888
[25] Узі, З., & Сотник, І. (2023). Economic analysis of energy efficiency of China’s and India’s national economies. Journal, 1(99), 11–16. https://doi.org/10.32782/mer.2023.99.02 DOI: https://doi.org/10.32782/mer.2023.99.02
[26] Smaisim, G. F., Abed, A. M., & Alavi, H. (2023). Analysis of pollutant emission reduction in a coal power plant using renewable energy. International Journal of Low-Carbon Technologies, 18, 38–48. https://doi.org/10.1093/ijlct/ctac130 DOI: https://doi.org/10.1093/ijlct/ctac130
[27] Jolaoso, L. A., Duan, C., & Kazempoor, P. (2024). Life cycle analysis of a hydrogen production system based on solid oxide electrolysis cells integrated with different energy and wastewater sources. International Journal of Hydrogen Energy, 52, 485–501. https://doi.org/10.1016/j.ijhydene.2023.07.129 DOI: https://doi.org/10.1016/j.ijhydene.2023.07.129
[28] Terlouw, T., Bauer, C., McKenna, R., & Mazzotti, M. (2022). Large-scale hydrogen production via water electrolysis: A techno-economic and environmental assessment. Energy & Environmental Science, 15(9), 3583–3602. https://doi.org/10.1039/D2EE01023B DOI: https://doi.org/10.1039/D2EE01023B
[29] Wang, J., Li, Z., Wu, T., Wu, S., & Yin, T. (2022). The decoupling analysis of CO2 emissions from power generation in the Chinese provincial power sector. Energy, 255, 124488. https://doi.org/10.1016/j.energy.2022.124488 DOI: https://doi.org/10.1016/j.energy.2022.124488
[30] Provisional Coal Statistics 2022-2023.
[31] Das, B. K., Hassan, R., Tushar, M. S. H., Zaman, F., Hasan, M., & Das, P. (2021). Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh. Energy Conversion and Management, 230, 113823. DOI: https://doi.org/10.1016/j.enconman.2020.113823
[32] Hu, H., Sun, X., Zeng, B., Gong, D., & Zhang, Y. (2022). Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load. Applied Energy, 307, 118130. DOI: https://doi.org/10.1016/j.apenergy.2021.118130
[33] Entezari, A., Bahari, M., Aslani, A., Ghahremani, S., & Pourfayaz, F. (2021). Systematic analysis and multi-objective optimization of integrated power generation cycle for a thermal power plant using Genetic algorithm. Energy Conversion and Management, 241, 114309. DOI: https://doi.org/10.1016/j.enconman.2021.114309
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