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
为提升综合能源系统的低碳性与经济性,充分挖掘灵活需求,提出一种基于绿证-碳交易和热电灵活输出的含氢综合能源系统(hydrogen-containing integrated energy system,HIES)。首先,将传统热电联产(combined heat and power,CHP)耦合有机...为提升综合能源系统的低碳性与经济性,充分挖掘灵活需求,提出一种基于绿证-碳交易和热电灵活输出的含氢综合能源系统(hydrogen-containing integrated energy system,HIES)。首先,将传统热电联产(combined heat and power,CHP)耦合有机朗肯循环(organic Rankine cycle,ORC)与电锅炉(electric boiler,EB)灵活运行,使燃气轮机(gas turbine,GT)产生的电力可以同时供应给电力网络和EB,其释放的热能则可以同时用于ORC和EB,以此缓解热电耦合限制。其次,融合绿证交易和阶梯式碳交易构建绿证-碳交易模型,以降低系统的碳排放、提高可再生能源的消纳,同时分析绿证单价和可再生能源配额系数对于系统优化调度的影响。然后,将电解槽、氢燃料电池等纳入模型中,充分考虑氢能的多元化利用,提升系统的低碳性。最后,以系统总成本最低为优化目标,构建日前优化调度模型。算例结果表明:该策略可提高系统的可再生能源消纳,同时降低系统碳排放和总成本。展开更多
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.
