A macroscopic model for VOC emissions process complemented by real data
A macroscopic model for VOC emissions process complemented by real data
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VOC排放过程宏观模型辅以真实数据
DOI：
10.1142/s0217984918502093
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发表时间：
2018-07
影响因子：
1.9
通讯作者：
Jia Bin
中科院分区：
文献类型：
--
作者：
Wang Yu-Qing;Zhou Chao-Fan;Zhu Zi-Ang;Wang Jia-Wei;Wang Zi-Meng;Fang Chen-Hao;Jia Bin
基于大量真实数据，建立了宏观模型，能够刻画挥发性有机物（即VOC）排放过程。与以前的工作不同的是，考虑了一组完整的源，而不仅仅是一个孤立的源。这些数据经过处理以支持样本集，以证明理论分析的有效性。此外，还讨论和描绘了工业生产与工业源VOC排放之间的关系。进一步强调并计算了电子工业生产与VOC排放之间的关系。调查单位产量的 VOC 排放量。此外，还说明了样本集中样本点的数量与VOC排放量之间的关系。然后，通过计算每个样本集的最优解，提出VOC排放的控制策略。研究发现，最优解的斜率越低，平均VOC排放量越低，VOC排放控制效果越好。
Based on tremendous real data, a macroscopic model is established, which can depict the process of volatile organic compound (namely, VOC) emissions. Different from previous work, a complete set of sources is taken into account rather than only an isolated source. These data have been processed to support the sample set in order to prove the validity of the theoretical analyses. Besides, the relationship between the industrial production and VOC emissions of industrial source is discussed and depicted. Furthermore, the relationship between the electronic industrial production and VOC emissions is emphasized and calculated. VOC emissions per unit production is investigated. Additionally, the relationship between the number of sample points in the sample set and VOC emissions is illustrated. Then, the control strategy of VOC emissions is proposed by calculating the optimal solutions of each sample set. It is found that the lower the slope of optimal solutions, the lower the average VOC emissions, the better the VOC emissions control effect.
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影响因子：
1.9
作者：
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影响因子：
4.9
作者：
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通讯作者：
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影响因子：
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作者：
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DOI：
10.1016/j.physa.2017.01.001
发表时间：
2017-05
期刊：
Physica A Statistical Mechanics & Its Applications,
影响因子：
--
作者：
冷军强
通讯作者：
冷军强
影响因子：
11.4
作者：
Junjun Wu;Xia Zhang;Jingwen Zhou;Mingsheng Dong
通讯作者：
Junjun Wu;Xia Zhang;Jingwen Zhou;Mingsheng Dong