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Can fuzzy logic bring complex issues in risk based optimal ranking of hazardous plant sites into focus? A case study

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Abstract

Selection of sites for the installation of hazardous plants in general and thermal power plants in particular, has assumed significant importance due to excessive air pollution load. Coal-fired power based thermal plants which generate 41% of the world’s electricity are a major source of local pollution and health hazard. It is therefore, important to decide suitable sites for these plants with low risk levels based on formalised mathematical techniques. In this paper, realizing uncertainty in parametric data, authors used fuzzy logic based formalisms, wherein goal in combination with constraints is considered as fuzzy multi constraint optimization problem. The study concludes with identifying optimal ranking of nine thermal power plants in India with ‘low risk’ potential. The limitations of this study have also been outlined.

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Authors and Affiliations

  1. Berkeley Initiative Soft Computing, Special Interest Group, Environmental Management System, Berkeley, USA

    Ashok Deshpande

  2. College of Engineering, Pune, Maharashtra, 411005, India

    Ashok Deshpande

  3. Department of Computer Science, Modern College of Arts, Science, Commerce, Pune, Maharashtra, 411005, India

    Kalyani Sambhoo

Authors
  1. Ashok Deshpande
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  2. Kalyani Sambhoo
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Correspondence to Kalyani Sambhoo.

Appendices

Appendix 1

See Table 8.

Table 8 Details of adjoining cities around Power plant locations and their prominent wind directions
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Appendix 2

See Table 9.

Table 9 List of thermal power plants considered in our study
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Deshpande, A., Sambhoo, K. Can fuzzy logic bring complex issues in risk based optimal ranking of hazardous plant sites into focus? A case study. Int J Syst Assur Eng Manag 8 (Suppl 2), 1079–1089 (2017). https://doi.org/10.1007/s13198-017-0572-1

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  • DOI: https://doi.org/10.1007/s13198-017-0572-1

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