Title: | Selection of optimized air pollutant filtration technologies for petrochemical industries through multiple-attribute decision-making |
Author(s): | Moridi P; Atabi F; Nouri J; Yarahmadi R; |
Address: | "Department of Environmental Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. Electronic address: moridi618@yahoo.com. Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. Electronic address: far-atabi@jamejam.net. Department of Environmental Health Engineering, Tehran University of Medical Science, Tehran, Iran. Electronic address: nourijafar@gmail.com. Department of Occupational Health, Research Center for Occupational Health, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. Electronic address: yarahmadi.r@iums.ac.ir" |
DOI: | 10.1016/j.jenvman.2017.03.065 |
ISSN/ISBN: | 1095-8630 (Electronic) 0301-4797 (Linking) |
Abstract: | "Selecting cost-effective and efficient air filtration technologies that ensure sustainable development is a challenge to national, regional and local policy makers. Various factors such as efficiency, maintainability, and design of the developed devices can affect the selection of optimized technologies. The present study aimed to select optimal technologies for air filtration devices in petrochemical industries through a multi-criteria decision-making (MADM) method based on a fuzzy model of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Five criteria (filtration efficiency, cost, maintainability, designability, and size) were used to rank air pollution control technologies designed to eliminate particulate matter (PM), volatile organic compounds (VOCs), and ammonia (NH(3)). According to the results, the research criteria had different weights for different air pollutants. High-efficiency particulate air (HEPA + pre collector) filters, plasma chemistry, and chemical absorption were identified as the most appropriate filtration methods for PM, VOCs, and NH(3), respectively (coefficients = 0.923, 0.9586, and 0.867, respectively)" |
Keywords: | *Air Pollutants Air Pollution/*prevention & control Filtration Industry Particulate Matter Volatile Organic Compounds Air pollution filtration Fuzzy order of preference by similarity to ideal solution Multiple-attribute decision making Petrochemical indus; |
Notes: | "MedlineMoridi, Parvin Atabi, Farideh Nouri, Jafar Yarahmadi, Rasoul eng England 2017/04/17 J Environ Manage. 2017 Jul 15; 197:456-463. doi: 10.1016/j.jenvman.2017.03.065. Epub 2017 Apr 14" |