Oil cleaning agents generated from nuclear power plants(NPPs)are radioactive organic liquid wastes.To date,because there are no satisfactory industrial treatment measures,these wastes can only be stored for a long tim...Oil cleaning agents generated from nuclear power plants(NPPs)are radioactive organic liquid wastes.To date,because there are no satisfactory industrial treatment measures,these wastes can only be stored for a long time.In this work,the optimization for the supercritical water oxidation(SCWO)of the spent organic solvent was investigated.The main process parameters of DURSET(oil cleaning agent)SCWO,such as temperature,reaction time,and excess oxygen coefficient,were optimized using response surface methodology,and a quadratic polynomial model was obtained.The determination coefficient(R^(2))of the model is 0.9812,indicating that the model is reliable.The optimized process conditions were at 515 C,66 s,and an excess oxygen coefficient of 211%.Under these conditions,the chemical oxygen demand removal of organic matter could reach 99.5%.The temperature was found to be the main factor affecting the SCWO process.Ketones and benzene-based compounds may be the main intermediates in DURSET SCWO.This work provides basic data for the industrialization of the degradation of spent organic solvents from NPP using SCWO technology.展开更多
A numerical model was established to predict and optimise the chemical cleaning process of Polyvinylidene Fluoride(PVDF)Ultra filtration(UF)membranes with the results from the experiment that applied the Response Surf...A numerical model was established to predict and optimise the chemical cleaning process of Polyvinylidene Fluoride(PVDF)Ultra filtration(UF)membranes with the results from the experiment that applied the Response Surface Method(RSM)and Central Composite Design(CCD).The factors considered in the experimental design were sodium hydroxide(NaOH)concentration,sodium hypochlorite concentration(NaClO),citric acid concentration and cleaning duration.The interactions between the factors were investigated with the numerical model.Humic acid(20 mg·L-1)was used as the model foulant,and chemical enhanced back flush(CEB)was employed to simulate the chemical cleaning process.The concentrations of sodium hydroxide,sodium hypochlorite,citric acid and cleaning duration tested during the experiments were in the range of 0.1%–0.3%,100–300 mg·L-1,1%–3%and 0.5–1.5 h,respectively.Among the variables,the sodium hypochlorite concentration and the cleaning duration showed a positive relationship involving the increased ef ficiency of the chemical cleaning.The chemical cleaning ef ficiency was hardly improved with increasing concentrations of sodium hydroxide.However,the data was sharply decreased when at a low level of sodium hydroxide concentration.In total,54 sets of cleaning schemes with 80%to 100%cleaning ef ficiency were observed with the RSM model after calibration.展开更多
能源低碳转型的时代大背景下,清洁能源持续向规模化、集约化发展。针对包含多种清洁能源的冷热电联供系统(combined cooling heating and power,CCHP)微网与共享储能电站的协同优化调度问题,考虑不同类型负荷的耦合特性以及综合需求响...能源低碳转型的时代大背景下,清洁能源持续向规模化、集约化发展。针对包含多种清洁能源的冷热电联供系统(combined cooling heating and power,CCHP)微网与共享储能电站的协同优化调度问题,考虑不同类型负荷的耦合特性以及综合需求响应对其激励作用,提出构建一种供需协同优化的CCHP-共享储能电站(shared energy storage station,SESS)双层经济调度模型,并提出一种考虑电满意度、热和冷舒适度的综合满意度指标。双层模型中,上层主体为CCHP微网,下层主体为共享储能电站,采用KKT(Karush-Kuhn-Tucker)条件对其实施降维,并以大M法引入二进制变量将非线性约束线性化,转为混合整数线性规划模型后调用CPLEX进行求解。以新疆某园区CCHP-SESS系统作为算例,仿真分析与验证结果表明,考虑综合需求响应可有效改善负荷功率分布,实现清洁能源出力特性与负荷需求响应特性的高效拟合,缓解供能压力;提出的CCHP-SESS双层优化配置方法通过协调上下层不同利益主体的能量分配,可有效降低CCHP微网的运行成本,同时增加共享储能电站收益,提升清洁能源消纳水平,确保系统供能稳定性。展开更多
基金supported by Shanghai Sail Program(No.19YF1458000).
文摘Oil cleaning agents generated from nuclear power plants(NPPs)are radioactive organic liquid wastes.To date,because there are no satisfactory industrial treatment measures,these wastes can only be stored for a long time.In this work,the optimization for the supercritical water oxidation(SCWO)of the spent organic solvent was investigated.The main process parameters of DURSET(oil cleaning agent)SCWO,such as temperature,reaction time,and excess oxygen coefficient,were optimized using response surface methodology,and a quadratic polynomial model was obtained.The determination coefficient(R^(2))of the model is 0.9812,indicating that the model is reliable.The optimized process conditions were at 515 C,66 s,and an excess oxygen coefficient of 211%.Under these conditions,the chemical oxygen demand removal of organic matter could reach 99.5%.The temperature was found to be the main factor affecting the SCWO process.Ketones and benzene-based compounds may be the main intermediates in DURSET SCWO.This work provides basic data for the industrialization of the degradation of spent organic solvents from NPP using SCWO technology.
基金Supported by State Key Laboratory of Urban Water Resource and Environment(2016DX01)the Fundamental Research Funds for the Central University(NSRIF.2014096)Science and Technology Planning Project of Chancheng District(2013A1044)
文摘A numerical model was established to predict and optimise the chemical cleaning process of Polyvinylidene Fluoride(PVDF)Ultra filtration(UF)membranes with the results from the experiment that applied the Response Surface Method(RSM)and Central Composite Design(CCD).The factors considered in the experimental design were sodium hydroxide(NaOH)concentration,sodium hypochlorite concentration(NaClO),citric acid concentration and cleaning duration.The interactions between the factors were investigated with the numerical model.Humic acid(20 mg·L-1)was used as the model foulant,and chemical enhanced back flush(CEB)was employed to simulate the chemical cleaning process.The concentrations of sodium hydroxide,sodium hypochlorite,citric acid and cleaning duration tested during the experiments were in the range of 0.1%–0.3%,100–300 mg·L-1,1%–3%and 0.5–1.5 h,respectively.Among the variables,the sodium hypochlorite concentration and the cleaning duration showed a positive relationship involving the increased ef ficiency of the chemical cleaning.The chemical cleaning ef ficiency was hardly improved with increasing concentrations of sodium hydroxide.However,the data was sharply decreased when at a low level of sodium hydroxide concentration.In total,54 sets of cleaning schemes with 80%to 100%cleaning ef ficiency were observed with the RSM model after calibration.
文摘能源低碳转型的时代大背景下,清洁能源持续向规模化、集约化发展。针对包含多种清洁能源的冷热电联供系统(combined cooling heating and power,CCHP)微网与共享储能电站的协同优化调度问题,考虑不同类型负荷的耦合特性以及综合需求响应对其激励作用,提出构建一种供需协同优化的CCHP-共享储能电站(shared energy storage station,SESS)双层经济调度模型,并提出一种考虑电满意度、热和冷舒适度的综合满意度指标。双层模型中,上层主体为CCHP微网,下层主体为共享储能电站,采用KKT(Karush-Kuhn-Tucker)条件对其实施降维,并以大M法引入二进制变量将非线性约束线性化,转为混合整数线性规划模型后调用CPLEX进行求解。以新疆某园区CCHP-SESS系统作为算例,仿真分析与验证结果表明,考虑综合需求响应可有效改善负荷功率分布,实现清洁能源出力特性与负荷需求响应特性的高效拟合,缓解供能压力;提出的CCHP-SESS双层优化配置方法通过协调上下层不同利益主体的能量分配,可有效降低CCHP微网的运行成本,同时增加共享储能电站收益,提升清洁能源消纳水平,确保系统供能稳定性。
