Application of multi-objective optimization decision based on analytic hierarchyprocess in total emission reduction of air pollutants for an industrial park
Received Date:2022-05-17
Abstract:potential of main air pollutants was calculated and the primary emission reduction scenario of air pollu⁃tion control wa... Open+
Abstract:potential of main air pollutants was calculated and the primary emission reduction scenario of air pollu⁃tion control was formulated. The emission reduction scenarios were evaluated via the combined methodof analytic hierarchy process and entropy weight. The optimal implementation route of multi-objectivedecision-making in the whole process of air pollution control was constructed, and the optimal emissionreduction scenario was obtained. The prediction results showed that the emission reduction of VOCs,NOx, SO2, NH3and particulate matter were 2 610.2, 255.1, 96.6, 8.1 and 337.6 t, respectively. Thecorresponding fixed cost and saved operating cost were 42.2 million yuan per year and 4.199 3 millionyuan per year respectively. The feasible measures for the comprehensive control of air pollutants in theindustrial park were provided. The multi-objective optimization decision-making method integrating an⁃alytic hierarchy process proposed in this study could provide technical support for air pollution manage⁃ment for small or medium-sized industrial parks. Close-
Authors:
- CHENG Zhuowei1
- NIU Chuanzhen1
- CHEN Dongzhi2
- CHEN Jianmeng1,2,*
Units
- 1.College of Environment,Zhejiang University of Technology,Hangzhou 310014,China
- 2.School of Petrochemical Engineering & Environment,Zhejiang Ocean University,Zhoushan 316022,China
Keywords
- Emission reduction potential
- Analytic hierarchy process
- Emission reduction scenarios
- Air pollutants
- Multiobjective optimization
Citation
CHENG Zhuowei, NIU Chuanzhen, CHEN Dongzhi, et al. Application of multi-objective optimization decisionbased on analytic hierarchy process in total emission reduction of air pollutants for an industrial park[J]. EnergyEnvironmental Protection, 2022, 36(5):77-87.
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