Synergistic CO₂ and Air Pollution Reduction Based on Multi-Objective Programming

Abstract:

With increasing frequency of hazards caused by global climate change, the importance of regulating carbon dioxide emission and coping with climate change has been recognized by the entire society. This paper utilized an Energy Flow Diagram to incorporate the energy supplies, conversion and final consumption for analyses. A multi-objective programming model was established to reduce the economic investment on the reduction of air pollution and carbon emission, and applied in a case study of Tianjin, one of the economic hubs of North China. This study can be potentially useful for making decisions on the synergistic CO₂ and air pollution reduction and solving conflicts between economic development and environmental protection in China.

• Periodical: Advanced Materials Research (Volumes 616-618)
• Pages: 1505-1511
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.616-618.1505
• Online since: December 2012
• Authors: Wen Tao Chang, Juan Wen, Jing Ling Bao, Ran Li
• Keywords: Air Pollutants, CO₂, Multi-Objective Programming, Synergistic Carbon Emission Reduction

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