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Using the fuzzy set theory to developing an environmental impact assessment index for a thermal power plant

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  • Hee-Cheon Ju

  • Seung-Hoon Yoo

Abstract

Korean thermal power has had a prominent position in energy policies for the past decades. However, pollutants from the combustion of fossil fuels used in converting thermal energy into electrical energy have undesirable effect on the environment. This paper applies fuzzy set theory (FST) to identifying the significance of various environmental impacts using a specific case study of the electric power utilities in Korea. To this end, we consider nine environmental impacts: mortality, morbidity, forest, agricultural production, materials, visibility, thermal discharge water, landscape, and global warming. A survey of randomly sampled 1,000 households was administrated to obtain value judgments from FST about the environmental impacts of a thermal power plant. The overall results show that global warming is the most important attribute in environmental effect-related decision-making processes and followed by morbidity and mortality in order. The implications of the results for electric power utilities are also discussed. We found that the work and results can provide valuable insights for major decision making in energy and environmental planning of the electric power utilities. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Hee-Cheon Ju & Seung-Hoon Yoo, 2014. "Using the fuzzy set theory to developing an environmental impact assessment index for a thermal power plant," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 673-680, March.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:2:p:673-680
    DOI: 10.1007/s11135-012-9794-0
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    References listed on IDEAS

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    1. Tai-Yoo Kim & Seung-Jun Kwak & Seung-Hoon Yoo, 1998. "Applying Multi-attribute Utility Theory to Decision Making in Environmental Planning: A Case Study of the Electric Utility in Korea," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 41(5), pages 597-609.
    2. Medina, Santiago & Moreno, Julian, 2007. "Risk evaluation in Colombian electricity market using fuzzy logic," Energy Economics, Elsevier, vol. 29(5), pages 999-1009, September.
    3. Rafaj, Peter & Kypreos, Socrates, 2007. "Internalisation of external cost in the power generation sector: Analysis with Global Multi-regional MARKAL model," Energy Policy, Elsevier, vol. 35(2), pages 828-843, February.
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    1. Kim, Ju-Hee & Kim, Kyung-Hag & Yoo, Seung-Hoon, 2022. "Evaluating and ranking the mining damage prevention programs in South Korea: An application of the fuzzy set theory," Resources Policy, Elsevier, vol. 78(C).

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