陈晨,西安交通大学教授,博士生导师,IEEE高级会员,国家级青年人才计划入选者。2013年在美国里海大学获得电气工程博士学位,2013至2019年在美国阿贡国家实验室工作,担任Energy Systems Scientist。主要研究方向为电力系统优化运行、弹性...陈晨,西安交通大学教授,博士生导师,IEEE高级会员,国家级青年人才计划入选者。2013年在美国里海大学获得电气工程博士学位,2013至2019年在美国阿贡国家实验室工作,担任Energy Systems Scientist。主要研究方向为电力系统优化运行、弹性电力系统自愈恢复、信息-物理融合能源系统建模与分析等。展开更多
After the great east Japan earthquake in 2011, Japanese energy system has been expected to prioritize safety and trustworthiness. Now, distributed power systems are considered as one solution, but utilizing exhaust he...After the great east Japan earthquake in 2011, Japanese energy system has been expected to prioritize safety and trustworthiness. Now, distributed power systems are considered as one solution, but utilizing exhaust heat is an important task to be solved. The purpose of this study is to build a simulation model to harness waste heat of commercial buildings. We obtained two types of data： distributed power system in 1/15 scale model of supermarket, restaurant and real world energy consumption of the two buildings. Results showed cold cabinets, whose electricity was affected by temperatures outside and inside, consumed most in supermarket. While air conditioning, affected by air enthalpy of outside and inside, consumed most in restaurant. According to our simulation with gas engine, PV （photovoltaic） panel, PCM （phase change material）, thermal storage, FCU （fan coil unit） and refrigerated cabinets in scale model, we could reduce 27% of CO_2 emission and 25% of running cost by selecting optimal size.展开更多
文摘陈晨,西安交通大学教授,博士生导师,IEEE高级会员,国家级青年人才计划入选者。2013年在美国里海大学获得电气工程博士学位,2013至2019年在美国阿贡国家实验室工作,担任Energy Systems Scientist。主要研究方向为电力系统优化运行、弹性电力系统自愈恢复、信息-物理融合能源系统建模与分析等。
文摘After the great east Japan earthquake in 2011, Japanese energy system has been expected to prioritize safety and trustworthiness. Now, distributed power systems are considered as one solution, but utilizing exhaust heat is an important task to be solved. The purpose of this study is to build a simulation model to harness waste heat of commercial buildings. We obtained two types of data： distributed power system in 1/15 scale model of supermarket, restaurant and real world energy consumption of the two buildings. Results showed cold cabinets, whose electricity was affected by temperatures outside and inside, consumed most in supermarket. While air conditioning, affected by air enthalpy of outside and inside, consumed most in restaurant. According to our simulation with gas engine, PV （photovoltaic） panel, PCM （phase change material）, thermal storage, FCU （fan coil unit） and refrigerated cabinets in scale model, we could reduce 27% of CO_2 emission and 25% of running cost by selecting optimal size.
