Huang Yue-Run, Yang Wen, Wang Xiu-Yan, Wang Yu-Yan, Cheng Ying, Wang Shuai
College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
Huan Jing Ke Xue. 2023 Sep 8;44(9):4832-4842. doi: 10.13227/j.hjkx.202208009.
To evaluate the emission level and emission reduction potential of volatile organic compounds (VOCs) in the coating industry in Zibo, we conducted field research on eight typical enterprises in three representative coating industries:the automobile manufacturing coating industry, wooden furniture coating industry, and metal surface coating industry. The actual measurement method, material balance algorithm, and emission factor method were used to calculate the VOC emissions of enterprises, and the localized emission factors were established. The emission levels of enterprises were evaluated by comparing with other domestic and foreign studies including AP-42, and the emission reduction potential was calculated based on the material balance algorithm. The significance difference analysis method was used to study the influence degree of each link management and control. The results showed that the VOC emission factor in Zibo was 4.38 kg·car for the automobile manufacturing coating industry, 212.52 g·kg paint for the wooden furniture industry, and 42.79 g·kg paint for the metal surface painting industry. The source emission reduction potential of furniture enterprise C and the process emission reduction potential of metal enterprises G and F could reach more than 50%. The degree of influence of each link management and control from high to low was source>process>end.
为评估淄博市涂料行业挥发性有机化合物（VOCs）的排放水平及减排潜力，我们对汽车制造涂料行业、木制家具涂料行业和金属表面涂料行业这三个代表性涂料行业中的八家典型企业进行了实地调研。采用实测法、物料衡算法和排放因子法计算企业的VOCs排放量，并建立本地化排放因子。通过与包括AP - 42在内的国内外其他研究进行比较，评估企业的排放水平，并基于物料衡算法计算减排潜力。采用显著性差异分析方法研究各环节管控的影响程度。结果表明，淄博市汽车制造涂料行业的VOCs排放因子为4.38 kg/辆汽车，木制家具行业为212.52 g/kg涂料，金属表面涂装行业为42.79 g/kg涂料。家具企业C的源头减排潜力以及金属企业G和F的过程减排潜力可达50%以上。各环节管控的影响程度由高到低依次为源头>过程>末端。
