Aniline is a vital industrial raw material.However,highly-toxic aniline wastewater usually deteriorated effluent quality,posed a threat to human health and ecosystem safety.Therefore,this study reported a novel intern...Aniline is a vital industrial raw material.However,highly-toxic aniline wastewater usually deteriorated effluent quality,posed a threat to human health and ecosystem safety.Therefore,this study reported a novel internal circulation iron-carbon micro-electrolysis(ICE)reactor to treat aniline wastewater.The effects of reaction time,pH,aeration rate and iron-carbon(Fe/C)ratio on the removal rate of aniline and the chemical oxygen demand were investigated using single-factor experiments.This process exhibited high aniline degradation performance of approximately 99.86% under optimal operating conditions(reaction time=20 min,pH=3,aeration rate=0.5 m3·h^(-1),and Fe/C=1:2).Based on the experimental results,the response surface method was applied to optimize the aniline removal rate.The Box–Behnken method was used to obtain the interaction effects of three main factors.The result showed that the reaction time had a dominant effect on the removal rate of aniline.The highest aniline removal rate was obtained at pH of 2,aeration rate of 0.5 m^(3)·h^(-1)and reaction time of 30 min.Under optional experimental conditions,the aniline content of effluent was reduced to 3 mg·L^(-1)and the removal rate was as high as 98.24%,within the 95% confidence interval(97.84%-99.32%)of the predicted values.The solution was treated and the reaction intermediates were identified by high-performance liquid chromatography,ultraviolet-visible spectroscopy,Fourier-transform infrared spectroscopy,gas chromatography-mass spectrometry,and ion chromatography.The main intermediates were phenol,benzoquinone,and carboxylic acid.These were used to propose the potential mechanism of aniline degradation in the ICE reactor.The results obtained in this study provide optimized conditions for the treatment of industrial wastewater containing aniline and can strengthen the understanding of the degradation mechanism of iron-carbon micro-electrolysis.展开更多
Oxygen evolution reaction is one of the key processes in the promising renewable energy technique of electrocatalytic water splitting.Developing high ecient oxygen evolution reaction(OER)catalysts requires determinati...Oxygen evolution reaction is one of the key processes in the promising renewable energy technique of electrocatalytic water splitting.Developing high ecient oxygen evolution reaction(OER)catalysts requires determination of the optimal values of the descriptor parameters.Using spinel CoFe2O4 as the model catalyst,this work demonstrates that irradiation with pulsed UV laser can control the quantity of surface oxygen vacancy and thus modify the OER activity,in a volcano-shape evolution trend.This strategy sheds light on quantita-tively investigation of the relationship between surface cation valence,anion vacancy,and physicochemical properties of transition-metal-based compounds.展开更多
为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源...为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源、燃气轮机、电制冷机组和吸收式制冷机组的IES系统,提出一种基于NSGA-Ⅱ的两阶段优化方法。第一阶段以考虑碳税在内的年经济成本最低为目标,确定最优设备容量;第二阶段则为直观反映各设备随负荷变化的出力响应,以典型日运行成本和碳排放量最低为双目标进行运行优化。研究结果表明:DC-IES系统中光伏和风电的总出力为24470.36 kW,相当于燃气轮机发电量的103.78%,承担了电负荷的33.01%;优化方案下,全年运行成本较以碳排放量为单目标的优化结果降低了1.3%,约37.45万元,碳排放量较以运行成本为单目标的优化结果减少3.5%,约305.48 t,有效降低了电网购电量及碳排放量,证明了所提方法在经济性和低碳性方面的优越性。展开更多
基金supported by the National Natural Science Foundation of China(21677018)the Joint Fund of the Beijing Municipal Natural Science Foundation and Beijing Municipal Education Commission(KZ201810017024)the Cross-Disciplinary Science Foundation from Beijing Institute of Petrochemical Technology(BIPTCSF–22032205003/014)。
文摘Aniline is a vital industrial raw material.However,highly-toxic aniline wastewater usually deteriorated effluent quality,posed a threat to human health and ecosystem safety.Therefore,this study reported a novel internal circulation iron-carbon micro-electrolysis(ICE)reactor to treat aniline wastewater.The effects of reaction time,pH,aeration rate and iron-carbon(Fe/C)ratio on the removal rate of aniline and the chemical oxygen demand were investigated using single-factor experiments.This process exhibited high aniline degradation performance of approximately 99.86% under optimal operating conditions(reaction time=20 min,pH=3,aeration rate=0.5 m3·h^(-1),and Fe/C=1:2).Based on the experimental results,the response surface method was applied to optimize the aniline removal rate.The Box–Behnken method was used to obtain the interaction effects of three main factors.The result showed that the reaction time had a dominant effect on the removal rate of aniline.The highest aniline removal rate was obtained at pH of 2,aeration rate of 0.5 m^(3)·h^(-1)and reaction time of 30 min.Under optional experimental conditions,the aniline content of effluent was reduced to 3 mg·L^(-1)and the removal rate was as high as 98.24%,within the 95% confidence interval(97.84%-99.32%)of the predicted values.The solution was treated and the reaction intermediates were identified by high-performance liquid chromatography,ultraviolet-visible spectroscopy,Fourier-transform infrared spectroscopy,gas chromatography-mass spectrometry,and ion chromatography.The main intermediates were phenol,benzoquinone,and carboxylic acid.These were used to propose the potential mechanism of aniline degradation in the ICE reactor.The results obtained in this study provide optimized conditions for the treatment of industrial wastewater containing aniline and can strengthen the understanding of the degradation mechanism of iron-carbon micro-electrolysis.
基金supported by the National Key Basic Research Program of China (2016YFA0300102)the National Natural Science Foundation of China (No.11675179,No.U1532142,and No.11434009)the Fundamental Research Funds for the Central Universities
文摘Oxygen evolution reaction is one of the key processes in the promising renewable energy technique of electrocatalytic water splitting.Developing high ecient oxygen evolution reaction(OER)catalysts requires determination of the optimal values of the descriptor parameters.Using spinel CoFe2O4 as the model catalyst,this work demonstrates that irradiation with pulsed UV laser can control the quantity of surface oxygen vacancy and thus modify the OER activity,in a volcano-shape evolution trend.This strategy sheds light on quantita-tively investigation of the relationship between surface cation valence,anion vacancy,and physicochemical properties of transition-metal-based compounds.
文摘为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源、燃气轮机、电制冷机组和吸收式制冷机组的IES系统,提出一种基于NSGA-Ⅱ的两阶段优化方法。第一阶段以考虑碳税在内的年经济成本最低为目标,确定最优设备容量;第二阶段则为直观反映各设备随负荷变化的出力响应,以典型日运行成本和碳排放量最低为双目标进行运行优化。研究结果表明:DC-IES系统中光伏和风电的总出力为24470.36 kW,相当于燃气轮机发电量的103.78%,承担了电负荷的33.01%;优化方案下,全年运行成本较以碳排放量为单目标的优化结果降低了1.3%,约37.45万元,碳排放量较以运行成本为单目标的优化结果减少3.5%,约305.48 t,有效降低了电网购电量及碳排放量,证明了所提方法在经济性和低碳性方面的优越性。
