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
为了进一步降低园区综合能源系统(park-level integrated energy system,PIES)碳排放量,优化热电联产(combined heat and power,CHP)机组出力的灵活性,提出一种考虑改进阶梯型碳交易和CHP热电灵活输出的PIES低碳经济调度策略。首先,将...为了进一步降低园区综合能源系统(park-level integrated energy system,PIES)碳排放量,优化热电联产(combined heat and power,CHP)机组出力的灵活性,提出一种考虑改进阶梯型碳交易和CHP热电灵活输出的PIES低碳经济调度策略。首先,将遗传算法与模糊控制相结合,设计一种遗传模糊碳交易参数优化器,从而对现有阶梯型碳交易机制进行改进,实现该机制参数的自适应变化;其次,在传统CHP中加入卡琳娜(Kalina)循环与电锅炉(electricboiler,EB),构造CHP热电灵活输出模型,以同时满足电、热负荷的不同需求;然后,提出一种柔性指标——电、热输出占比率,进而计算出电、热输出占比率区间,以衡量CHP运行灵活性;最后,将改进阶梯型碳交易机制和CHP热电灵活输出模型协同优化,以系统运行成本和碳交易成本之和最小为目标,构建PIES低碳经济优化模型。算例分析表明,所提策略可有效降低经济成本和碳排放量,同时还可扩展CHP灵活输出调节范围,能够为PIES低碳经济调度提供参考。展开更多
能源电力系统的低碳转型是实现碳达峰碳中和目标的关键所在。为研判“双碳”目标下我国能源电力系统的未来发展趋势,该文构建了考虑绿电替代与绿氢替代的中长期能源电力发展估算模型,基于模型对2020—2060年我国能源电力发展场景进行测...能源电力系统的低碳转型是实现碳达峰碳中和目标的关键所在。为研判“双碳”目标下我国能源电力系统的未来发展趋势,该文构建了考虑绿电替代与绿氢替代的中长期能源电力发展估算模型,基于模型对2020—2060年我国能源电力发展场景进行测算,分析相关核心指标的演化趋势,并针对绿电绿氢与现有能源系统协同发展的多能互补综合能源发展模式提出方案设想。结果表明,以绿电为主、绿氢为辅对传统化石能源的“双替代”,作为实现“双碳”目标的关键措施,将在新型能源体系和新型电力系统建设中发挥决定性作用,分别针对源端能源生产基地和终端消费区域提出的综合能源生产单元(integrated energy production unit,IEPU)和综合能源产消单元(integrated energy production and consumption unit,IECU)设想,可为促进多类型资源协同优化和高效配置、支撑构建新型能源体系与新型电力系统提供方案参考。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.
文摘为了进一步降低园区综合能源系统(park-level integrated energy system,PIES)碳排放量,优化热电联产(combined heat and power,CHP)机组出力的灵活性,提出一种考虑改进阶梯型碳交易和CHP热电灵活输出的PIES低碳经济调度策略。首先,将遗传算法与模糊控制相结合,设计一种遗传模糊碳交易参数优化器,从而对现有阶梯型碳交易机制进行改进,实现该机制参数的自适应变化;其次,在传统CHP中加入卡琳娜(Kalina)循环与电锅炉(electricboiler,EB),构造CHP热电灵活输出模型,以同时满足电、热负荷的不同需求;然后,提出一种柔性指标——电、热输出占比率,进而计算出电、热输出占比率区间,以衡量CHP运行灵活性;最后,将改进阶梯型碳交易机制和CHP热电灵活输出模型协同优化,以系统运行成本和碳交易成本之和最小为目标,构建PIES低碳经济优化模型。算例分析表明,所提策略可有效降低经济成本和碳排放量,同时还可扩展CHP灵活输出调节范围,能够为PIES低碳经济调度提供参考。
文摘能源电力系统的低碳转型是实现碳达峰碳中和目标的关键所在。为研判“双碳”目标下我国能源电力系统的未来发展趋势,该文构建了考虑绿电替代与绿氢替代的中长期能源电力发展估算模型,基于模型对2020—2060年我国能源电力发展场景进行测算,分析相关核心指标的演化趋势,并针对绿电绿氢与现有能源系统协同发展的多能互补综合能源发展模式提出方案设想。结果表明,以绿电为主、绿氢为辅对传统化石能源的“双替代”,作为实现“双碳”目标的关键措施,将在新型能源体系和新型电力系统建设中发挥决定性作用,分别针对源端能源生产基地和终端消费区域提出的综合能源生产单元(integrated energy production unit,IEPU)和综合能源产消单元(integrated energy production and consumption unit,IECU)设想,可为促进多类型资源协同优化和高效配置、支撑构建新型能源体系与新型电力系统提供方案参考。
文摘该文分析了火电机组脱硫系统主要能耗设备的能耗特性,建立脱硫设备能耗与机组负荷、燃煤硫分和脱硫率的数学关系,在此基础上提出电站脱硫系统的节能优化运行方法,并结合典型1 000 MW火电机组脱硫系统开展案例分析与定量计算。结果表明:新型优化运行方法不增加新设备、不影响机组安全稳定运行,在40%~100%锅炉最大连续蒸发量(boiler maximum continue rate,BMCR)负荷工况下,仅通过运行方式的调整即可在确保脱硫效果的前提下使烟气脱硫(flue gas desulfurization,FGD)系统电耗下降约2%~22%,其中大部分负荷下电耗下降均可达10%以上;而按典型负荷工况估算,年可节约电能5052MW h,相比于原方案总电耗下降10.6%,节约电费176.8万元,节能效果显著。
