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 2...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.展开更多
Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analys...Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analysis of the energy consumption of residential buildings in Chongqing,China,on the impact of carbon emission factors. Three impacts are analyzed,namely per capita residential housing area,domestic water consumption and the rate of air conditioner ownership per 100 urban households. The gray prediction model established using the Chongqing carbon emission-residential building energy consumption forecast model is sufficiently accurate to achieve a measure of feasibility and applicability.展开更多
为了应对越来越多的分布式电源接入配电网造成静态电压稳定性运行风险以及新能源消纳等问题,提出了一种考虑静态电压稳定的配电网柔性互联装置配置方法。提出了一种基于局部网络等值的静态电压稳定指标(static voltage stability index,...为了应对越来越多的分布式电源接入配电网造成静态电压稳定性运行风险以及新能源消纳等问题,提出了一种考虑静态电压稳定的配电网柔性互联装置配置方法。提出了一种基于局部网络等值的静态电压稳定指标(static voltage stability index,SVSI)计算方法,以经济性和新能源消纳为目标函数,建立了含双目标函数的双层规划模型,将SVSI作为约束条件嵌入下层模型中,上层模型优化电压源换流器的安装位置和容量,下层模型优化VSC的运行功率。采用非支配排序的遗传算法进行求解,通过仿真算例证明了所提规划方法的合理性,满足配置方案经济性的同时有助于提升配电网的消纳能力,减少网络损耗,且能够同时提升2个柔性互联区域的静态电压稳定性。展开更多
基金Project(2012GK2025)supported by Science-Technology Plan Foundation of Hunan Province,ChinaProject(2013zzts039)supported by the Fundamental Research Funds for Central South University,China
文摘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.
基金Project(50838009) supported by the National Natural Science Foundation of ChinaProjects(2006BAJ02A09,2006BAJ01A13-2) supported by the National Key Technologies R & D Program of China
文摘Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analysis of the energy consumption of residential buildings in Chongqing,China,on the impact of carbon emission factors. Three impacts are analyzed,namely per capita residential housing area,domestic water consumption and the rate of air conditioner ownership per 100 urban households. The gray prediction model established using the Chongqing carbon emission-residential building energy consumption forecast model is sufficiently accurate to achieve a measure of feasibility and applicability.
基金国家重点基础研究发展计划项目（973项目）（2009CB219801）国家杰出青年科学基金（51025624）+2 种基金国家科技支撑计划项目（2011BAA04803-2）. The National Basic Research Program of China （973 Program） （2009CB219801） The Funds for Creative Research Groups of China （51025624） Chinese Key Technology R＆D Program （2011BAA04B03-2）.
文摘为了应对越来越多的分布式电源接入配电网造成静态电压稳定性运行风险以及新能源消纳等问题,提出了一种考虑静态电压稳定的配电网柔性互联装置配置方法。提出了一种基于局部网络等值的静态电压稳定指标(static voltage stability index,SVSI)计算方法,以经济性和新能源消纳为目标函数,建立了含双目标函数的双层规划模型,将SVSI作为约束条件嵌入下层模型中,上层模型优化电压源换流器的安装位置和容量,下层模型优化VSC的运行功率。采用非支配排序的遗传算法进行求解,通过仿真算例证明了所提规划方法的合理性,满足配置方案经济性的同时有助于提升配电网的消纳能力,减少网络损耗,且能够同时提升2个柔性互联区域的静态电压稳定性。
