Total SO2 emission control strategies for the management of air pollution in ulsan industrial complex |
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| Institution: | 1. Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, Quebec, Canada;2. Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec, Canada;1. Department of Chemical Engineering, Pohang University of Science and Technology, 77, Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, South Korea;2. Graduate Institute of Ferrous & Energy Materials Technology, Pohang University of Science and Technology, 77, Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, South Korea;3. Climate Change Research Division, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon, 34129, South Korea;4. POSCO, 6262, Donghaean-ro, Nam-gu, Pohang, Gyeongbuk, 37877, South Korea;5. School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan, 44919, South Korea;1. Department of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA;2. Avnos, Inc. Los Angeles, CA, 90046, USA |
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| Abstract: | Since emission regulations in Korea concentrate mainly on the limitation of pollutant concentration in the stack gas, it is difficult to achieve a desirable air quality in a heavily industralized city like Ulsan. To ensure a suitable air quality in the future, a total emission control method is proposed with a stack height formula of H = 10.6 q0.5, where H is the stack height (m) and q is the SO2 emission rate (m3 h?1 reduced to 0°C). The total emission permitted can be allocated to industries - 1.(1) at an uniform reduction rate,
- 2.(2) by the formula Q = aQo0.925, where Q is the emission allowed (g s?1), a is a constant, and Qo is the emission before control (g s?1), or
- 3.(3) by using a linear programming technique.
The above three approaches were evaluated using the TCM 2 air quality model. In order to achieve the air quality goal set for the area, the first approach requires 38.7 % reduction of SO2 emission from industries, the second 53.3 %, and the third 4.3 %. The linear programming method is found to be very economical, but there are some administrative difficulties in enforcement. |
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