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京津冀钢铁行业节能、SO_2、NO_x、PM_(2.5)和水协同控制 被引量:7

Co-control of energy, SO_2, NO_x, PM_(2.5), and water in the iron and steel industry in the Beijing-Tianjin-Hebei region
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摘要 建立自下而上的综合动态优化模型,在节能、大气污染物(SO_2、NO_x和PM_(2.5))减排和节水的综合约束下,研究京津冀地区2015~2030年钢铁行业48项节能减排技术优化发展路径,并预测该地区钢铁行业能耗、大气污染物排放和水耗.结果表明,国家应优先鼓励推广干熄焦,小球烧结技术等22项技术,此类技术可以有效协同控制能耗、大气污染物排放和水耗.京津冀地区钢铁行业具有很大的节能、大气污染物减排和节水潜力,到2030年在实现大量节能、大气污染物减排潜力的同时可以实现节水10.08亿m^3.虽然计算得到的购水成本仅约占总成本的2%,但是京津冀地区面临着严重大气污染和极度的水资源短缺问题,仍然需要兼顾节能减排技术对水资源的影响. Based on 48 energy-saving and emission reduction technologies, a bottom-up integrated dynamic optimization model was developed with constraints of energy, water, SO2, NOx, and PM2.5 reduction targets. This model, in which the energy and water demand, as well as SO2, NOx, and PM2.5 emissions were predicted, was used to optimize the technology pathway of the iron and steel industry in the Beijing-Tianjin-Hebei region from 2015 to 2030. Results showed that 22 technologies that presented co-control effects on energy, SO2, NOx, PM2.5, and water, such as coke dry quenching and small pellet sintering, should be given priority in promotion. The model also predicted that implementation of 48 technologies could potentially result in energy conservation and air emissions reduction in the iron and steel industry in the Beijing-Tianjin-Hebei region, and could save 1008 million cubic meters of water by 2030. Although the cost of water accounts for only about 2% of the total industry cost, the water impacts of energy-saving and emission reduction technologies should be emphasized because apart from air pollution, water scarcity also poses a serious threat to the Beijing-Tianjin-Hebei region.
作者 徐向阳 任明 高俊莲 XU Xiang-yang;REN Ming;GAO Jun-lian(School of Management,China University of Mining and Technology,Beijing 100083,China)
出处 《中国环境科学》 EI CAS CSSCI CSCD 北大核心 2018年第8期3160-3169,共10页 China Environmental Science
基金 国家自然科学基金资助项目(71403270) 中华人民共和国生态环境部资助项目(2015207010161) 中央高校基本科研业务费专项资金资助项目(2010YG06)
关键词 钢铁行业 动态优化 协同控制 技术路径 iron and steel industry dynamic optimization co-control technology pathway
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