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Research on Low-Carbon Development Pathways of China’s Industrial Parks Under the Guidance of Big Data

机译:大数据指导下中国工业园区低碳发展途径研究

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The Chinese government pledged to strive to peak carbon emission by 2030 and achieve carbon neutrality by 2060. In the context of the industrial sector’s deepening response to climate change and the overall promotion of green transformation, industrial parks have become the critical trouble-shooters in achieving scientific and precise targeted carbon emission reductions in the industrial sector during the “14th Five-Year Plan” period and even in the future. Based on big data analysis, this paper analyzed the carbon emission data of 213 national industrial parks. This paper identified challenges and opportunities underlying the low-carbon transition of China’s industrial parks, and quantified decarbonization targets, pathways and potentials of the industrial parks towards 2035 and 2050. During 2015-2050, China’s industrial parks are expected to reduce CO2 emission by 1.8 gigaton (dropped by more than 60%) via industrial structure optimization, energy efficiency improvement, energy structure decarbonization, and carbon capture, utilization and storage; specifically, 0.8 and 1.0 gigaton of CO2 emission could be reduced during 2015-2035 and 2035-2050, respectively.
机译:中国政府承诺争取2030年的碳排放量,并在2060年实现碳中立。在工业部门对气候变化的深入应对和绿色转型的整体推广的背景下,工业园已成为实现的危急困难射击者“第14五年计划”期间甚至将来,工业部门的科学和精确的有针对性的碳排放减少。基于大数据分析,本文分析了213个国家工业园区的碳排放数据。本文确定了中国工业园区低碳转型的挑战和机遇,以及量化的脱碳目标,工业园区的贬低目标,朝向2035年和2050年的脱碳目标,途径和潜力。在2015 - 2015年期间,中国的工业园区预计将减少1.8的二氧化碳排放量1.8 Gigaton(跌幅超过60%)通过产业结构优化,能源效率提高,能源结构脱碳和碳捕获,利用和储存;具体地,在2015-2035和2035-2050期间,可以减少0.8和1.0千兆的二氧化碳排放。

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