曹宏斌,赵赫,赵月红,张笛.工业生产全过程减污降碳:方法策略与科学基础[J].中国科学院院刊,2023,38(2):342-350.
工业生产全过程减污降碳:方法策略与科学基础
Pollution Control and Carbon Reduction in Whole Industrial Process: Method, Strategy and Scientific Basis
工业生产全过程减污降碳:方法策略与科学基础
Pollution Control and Carbon Reduction in Whole Industrial Process: Method, Strategy and Scientific Basis
作者
曹宏斌1,2,3*
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
CAO Hongbin1,2,3*
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
赵赫1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHAO He1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
赵月红1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHAO Yuehong1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
张笛1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHANG Di1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
CAO Hongbin1,2,3*
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
赵赫1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHAO He1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
赵月红1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHAO Yuehong1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
张笛1,2,3
中国科学院过程工程研究所 北京 100190;中国科学院化学化工科学数据中心 北京 100190;中国科学院大学 化学工程学院 北京 100049
ZHANG Di1,2,3
Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China;Chemistry & Chemical Engineering Data Center, Chinese Academy of Sciences, Beijing 100190, China;School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
中文关键词
工业污染;全过程控制;减污降碳;多尺度;集成优化
英文关键词
industrial pollution;whole process control;pollution control and carbon reduction;multiscale;optimization
中文摘要
随着我国环境保护排放标准日益严格及行业园区化发展日渐成型,有毒有害污染物稳定达标与碳减排协同治理技术缺乏、末端无害化治理控制成本高等问题,开始严重制约我国社会经济可持续发展和碳达峰、碳中和目标的实现。文章以工业行业的重大环境保护需求为导向,提出“工业生产全过程减污降碳”的方法策略及科学基础。通过控制方法协同、跨介质协同,以及多领域统筹、多要素统筹建模优化,将分子水平或微观水平上的基础科学创造性发现与工程研究开发直接联系起来,为减污降碳协同增效提供新的科学支撑,为我国工业绿色发展和碳减排贡献理论方法。
英文摘要
As China's environmental protection emission standards are becoming stricter and industrial parks are taking shape, problems such as the lack of stable cooperative treatment technology for toxic pollutants and carbon emission reduction, and the high control cost seriously restrict the sustainable development of economic society and the realization of the strategic goal of carbon emission reduction. Guided by the major environmental protection demand of industries, this study put forward the method, strategy and scientific basis of "Synergistic reduce pollution and carbon in the whole process of industry". Through the coordination of control methods, cross-media, multi-field and multi-factor modeling optimization, the creative discovery of basic science at molecular level was directly linked with engineering research, which provided new scientific support for the synergy reduction of pollution and carbon emission, and contributed theoretical methods to China's industrial green development.
DOI10.16418/j.issn.1000-3045.20220729004