A process-level hierarchical structural decomposition analysis (SDA) of energy consumption in an integrated steel plant

A hierarchical structural decomposition analysis(SDA) model has been developed based on process-level input-output(I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energy consumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-level decomposition analysis of aggregated indicators.

基于城市尺度的中国能源强度时空差异及演进特征

文章基于降尺度能源平衡表估算2003—2019年我国城市能源消费量,采用Dagum基尼系数和空间马尔科夫链解析城市能源强度的时空差异及演进特征。结果表明:我国城市能源强度持续下降,变动态势呈现出空间集聚特征,其中资源型城市能源强度下降较快但仍有较大节能潜力;城市能源强度存在明显的空间分异,其变动趋势具有显著的阶段性特征,而地区间差异为总体差异的主要来源;城市能源强度类型的“马太效应”突出,低能源强度城市存在先发优势“惯性”,高能源强度城市则存在路径依赖和锁定效应,城市能源强度类型的转换受到相邻城市类型的影响。

Structural Decomposition Analysis of the Decline in China's CO_2 Emission Intensity 2005–2010

Here we utilize input-output tables for 2005 and 2010 to calculate the change in carbon dioxide emission intensity. Results show that total carbon dioxide emissions were 6.79 and 9.30 billion tons, and carbon dioxide emission intensity was 0.37 and 0.33 ton per thousand CNY in 2005 and 2010, respectively. Carbon dioxide emission intensity declined 11% over these five years. We used structural decomposition analysis modeling to measure the effect of four factors on this reduction in intensity. We found that the contribution values of energy structure, energy efficiency, economic growth mode and economic structure were -0.001, -0.102, 0.050, and 0.013 ton per thousand CNY, respectively. Changes in energy efficiency and energy structure are major factors promoting decreases in carbon dioxide emission intensity; the effect of the former is more distinct than the latter. Economic growth mode and economic structure are major factors that increase carbon dioxide emission intensity, whereby the effect of the former is more distinct than the latter.

异质性能源消耗强度变化及其影响因素分解——基于四川省可比价能源投入产出表

基于2002—2007年四川省可比价能源投入产出表,分析了四川省6部门的异质性能源的完全能耗系数的变化趋势;采用因素分解法,将能耗强度总量变动的影响因素分解为直接能耗变化、产品技术变化和最终需求结构变化,并分析了不同因素对能源消耗强度变化的影响程度。结果表明:2002—2007年间,除农业外,其他产业部门的煤炭完全能耗系数均呈下降趋势;除了建筑业的天然气完全能耗系数呈上升趋势外,其他产业部门的该系数均呈先升后降的趋势;最终需求结构变动促使各类能源的消耗强度总量呈正向变化;直接能耗变动是影响4类能源的消耗强度变动的最主要因素。

我国能源强度变动的影响因素分析——基于SDA分解技术

随着我国经济的快速发展及能源消耗的急剧增加,深入分析我国能源强度变动的影响因素成为一个热点研究议题。基于结构分解分析方法(SDA),本文将能源强度变动因素分解成能源消耗系数、完全需要系数、最终需求、最终需求结构系数和最终能源消耗五个因素,并编制了1997、2002、2007、2012年我国实物价值型能源投入产出可比价序列表,以探索影响我国能源强度变动的主导因素。实证研究结果表明:(1)1997-2012年,我国能源总消费呈持续上升趋势,而能源强度波动性下降;(2)能源消耗系数一直是影响我国能源强度下降的主导因素;(3)然而,完全需要系数(即技术系数)对能源强度下降的影响效力在近年来逐步上升,并在2007-2012年间超过了能源消耗系数。