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Environmental Problem Shifting Analysis of Pollution Control Units in a Coal-Fired Powerplant Based on Multiple Regression and LCA Methodology

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  • Harnpon Phungrassami

    (Excellence Center of Eco-Energy, Department of Chemical Engineering, Thammasat School of Engineering, Thammasat University, Khlong Nueng, Khlong Luang, Pathumthani 12120, Thailand)

  • Phairat Usubharatana

    (Excellence Center of Eco-Energy, Department of Chemical Engineering, Thammasat School of Engineering, Thammasat University, Khlong Nueng, Khlong Luang, Pathumthani 12120, Thailand)

Abstract

Coal-fired power generation leads to serious environmental pollution, such as air and water pollution; thus, pollution control or treatment is necessary. However, end-of-pipe treatments are still indispensable approaches to reducing environmental stress, and focusing on each in turn leads to pollutant-by-pollutant features. The present study applies the LCA method to reveal the total direct and indirect environmental impacts from increasing significant pollution control units for a coal-fired power plant. From the results, it was found that increasing the performance of CCS and FGD units may result in higher overall environmental impacts due to their energy costs. Greater energy requirements result in greater global warming potential, human toxicity, and terrestrial acidification effects. LNB & OFA, SCR, and ESP units did not cause any other significant environmental impacts, while activated carbon used in the ACI unit is an additional source of indirect terrestrial acidification. Water depletion effects must be considered when increasing the use of CCS units. Policy makers can use the data from the present study to establish sustainable directions to resolve environmental problems at the macro-economic scale.

Suggested Citation

  • Harnpon Phungrassami & Phairat Usubharatana, 2021. "Environmental Problem Shifting Analysis of Pollution Control Units in a Coal-Fired Powerplant Based on Multiple Regression and LCA Methodology," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5142-:d:548718
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