The semimetal Bi has received increasing interest as an alternative to noble metals for use in plasmonic photocatalysis. To enhance the photocatalytic efficiency of metallic Bi, Bi microspheres modified by SiO2 nanopa...The semimetal Bi has received increasing interest as an alternative to noble metals for use in plasmonic photocatalysis. To enhance the photocatalytic efficiency of metallic Bi, Bi microspheres modified by SiO2 nanoparticles were fabricated by a facile method. Bi-O-Si bonds were formed between Bi and SiO2, and acted as a transportation channel for hot electrons. The SiO2@Bi microspheres exhibited an enhanced plasmon-mediated photocatalytic activity for the removal of NO in air under 280 nm light irradiation, as a result of the enlarged specific surface areas and the promotion of electron transfer via the Bi-O-Si bonds. The reaction mechanism of photocatalytic oxidation of NO by SiO2@Bi was revealed with electron spin resonance and in situ diffuse reflectance infrared Fourier transform spectroscopy experiments, and involved the chain reaction NO -> NO2 -> NO3- with center dot OH and center dot O-2(-) radicals as the main reactive species. The present work could provide new insights into the in-depth mechanistic understanding of Bi plasmonic photocatalysis and the design of high-performance Bi-based photocatalysts. (C) 2017, Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.展开更多
为降低城市化进程中楼宇储能投资成本,提出一种基于共享储能服务的智能楼宇(intelligent buildings,IBs)双层优化配置方法。首先,建立计及寿命周期的共享储能电站(shared energy storage station,SESS)模型;其次,基于楼宇建筑物热惯性,...为降低城市化进程中楼宇储能投资成本,提出一种基于共享储能服务的智能楼宇(intelligent buildings,IBs)双层优化配置方法。首先,建立计及寿命周期的共享储能电站(shared energy storage station,SESS)模型;其次,基于楼宇建筑物热惯性,构建含空调系统的IBs数学模型;然后,综合考虑SESS与IBs的差异化利益诉求,建立基于SESS的IBs双层优化模型。上层模型目标函数旨在降低SESS的规划成本,下层模型目标函数旨在降低IBs的年运行成本,并采用卡罗需-库恩-塔克(Karush-Kuhn-Tucher,KKT)条件将原双层优化问题转换为单层混合整数线性规划问题进行求解。最后,以3个IBs社区的四季典型日为例,对比分析不同优化配置方法对于IBs运行和SESS配置结果的影响。结果表明,在满足IBs用户温度舒适性的同时,所提双层优化配置方法可充分满足SESS运营商与IBs的差异化利益诉求,实现双方的共赢。展开更多
基金supported by the National Natural Science Foundation of China(21501016,51478070,21406022,21676037)the National Key R&D Project(2016YFC0204702)+4 种基金the Innovative Research Team of Chongqing(CXTDG201602014)the Natural Science Foundation of Chongqing(cstc2016jcyjA 0481,cstc2015jcyjA 0061)the Science and Technology Project of Chongqing Education Commission(KJ1600625,KJ1500637)the Application and Basic Science Project of Ministry of Transport of People's Republic of China(2015319814100)the Innovative Research Project from CTBU(yjscxx2016-060-36)~~
文摘The semimetal Bi has received increasing interest as an alternative to noble metals for use in plasmonic photocatalysis. To enhance the photocatalytic efficiency of metallic Bi, Bi microspheres modified by SiO2 nanoparticles were fabricated by a facile method. Bi-O-Si bonds were formed between Bi and SiO2, and acted as a transportation channel for hot electrons. The SiO2@Bi microspheres exhibited an enhanced plasmon-mediated photocatalytic activity for the removal of NO in air under 280 nm light irradiation, as a result of the enlarged specific surface areas and the promotion of electron transfer via the Bi-O-Si bonds. The reaction mechanism of photocatalytic oxidation of NO by SiO2@Bi was revealed with electron spin resonance and in situ diffuse reflectance infrared Fourier transform spectroscopy experiments, and involved the chain reaction NO -> NO2 -> NO3- with center dot OH and center dot O-2(-) radicals as the main reactive species. The present work could provide new insights into the in-depth mechanistic understanding of Bi plasmonic photocatalysis and the design of high-performance Bi-based photocatalysts. (C) 2017, Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
文摘为降低城市化进程中楼宇储能投资成本,提出一种基于共享储能服务的智能楼宇(intelligent buildings,IBs)双层优化配置方法。首先,建立计及寿命周期的共享储能电站(shared energy storage station,SESS)模型;其次,基于楼宇建筑物热惯性,构建含空调系统的IBs数学模型;然后,综合考虑SESS与IBs的差异化利益诉求,建立基于SESS的IBs双层优化模型。上层模型目标函数旨在降低SESS的规划成本,下层模型目标函数旨在降低IBs的年运行成本,并采用卡罗需-库恩-塔克(Karush-Kuhn-Tucher,KKT)条件将原双层优化问题转换为单层混合整数线性规划问题进行求解。最后,以3个IBs社区的四季典型日为例,对比分析不同优化配置方法对于IBs运行和SESS配置结果的影响。结果表明,在满足IBs用户温度舒适性的同时,所提双层优化配置方法可充分满足SESS运营商与IBs的差异化利益诉求,实现双方的共赢。
