【摘要】：傳統(tǒng)海水淡化技術(shù),消耗常規(guī)能源,能耗高,對(duì)環(huán)境產(chǎn)生污染,膜蒸餾技術(shù)可在中低溫工況下運(yùn)行,因此,可將膜蒸餾與太陽(yáng)能等低品位能源結(jié)合。傳統(tǒng)研究一般采用單因素分析方法,不能有效分析各個(gè)操作參數(shù)之間的相互影響關(guān)系。因此,本研究將太陽(yáng)能光熱光電系統(tǒng)耦合中空纖維膜蒸餾組件,運(yùn)用響應(yīng)曲面法設(shè)計(jì)分析實(shí)驗(yàn)工況,搭建完全依靠太陽(yáng)能為膜蒸餾系統(tǒng)提供能量的實(shí)驗(yàn)平臺(tái),分析操作參數(shù)之間的相互影響關(guān)系,研究最佳操作工況下的最優(yōu)膜通量和能耗,從理論和實(shí)驗(yàn)兩方面展開(kāi)研究。首先,搭架太陽(yáng)能光熱光電中空纖維膜蒸餾系統(tǒng)實(shí)驗(yàn)平臺(tái),選擇全玻璃真空管集熱器為膜組件提供熱能,采用光伏組件為系統(tǒng)提供電能,為充分利用太陽(yáng)能,將集熱器和光伏組件并列安裝在全自動(dòng)雙軸太陽(yáng)能跟蹤平臺(tái)上,耦合中空纖維膜蒸餾組件系統(tǒng),研究不同操作參數(shù)對(duì)膜通量的影響。其次,運(yùn)用響應(yīng)曲面法(response surface methodology,RSM)對(duì)太陽(yáng)能膜蒸餾系統(tǒng)中的操作參數(shù)和膜通量進(jìn)行分析,結(jié)合中心復(fù)合設(shè)計(jì)法優(yōu)化設(shè)計(jì)了兩種不同工況下的實(shí)驗(yàn)。根據(jù)響應(yīng)曲面法設(shè)計(jì)的實(shí)驗(yàn)工況在搭架的實(shí)驗(yàn)平臺(tái)上進(jìn)行實(shí)驗(yàn),收集分析兩種工況下的實(shí)驗(yàn)數(shù)據(jù)并錄入軟件進(jìn)行優(yōu)化模擬。運(yùn)用Design-Expert軟件對(duì)實(shí)驗(yàn)數(shù)據(jù)進(jìn)行分析,建立二次模型進(jìn)行回歸擬合,獲得響應(yīng)曲面圖和等高線(xiàn)圖,分析操作參數(shù)對(duì)膜通量響應(yīng)值的影響及各個(gè)參數(shù)之間的相互影響關(guān)系,得出操作參數(shù)的最優(yōu)工況及最優(yōu)膜通量響應(yīng)值。研究表明,考慮膜組件進(jìn)口溫度、膜組件進(jìn)口流量和真空度三個(gè)操作參數(shù)下的二次回歸模型顯著,重要性因子F=21.33,決定性系數(shù)R2 =0.9505,預(yù)測(cè)膜通量與實(shí)驗(yàn)?zāi)ね肯嚓P(guān)性強(qiáng)。模擬分析的最佳工況為進(jìn)口溫度為63℃,流量為237L/h,真空壓力為0.75×105Pa,此最佳工況下的預(yù)測(cè)膜通量為6.05kg/(m2·h),實(shí)驗(yàn)?zāi)ね繛?.26kg/(m2·h),二者誤差為3.35%。考慮膜組件進(jìn)口溫度、膜組件進(jìn)口流量和太陽(yáng)輻射度三個(gè)影響因素下的二次回歸擬合模型中F=9.2,R2=0.8922,方差分析表明模型擬合良好。此工況下模擬分析的最佳工況為溫度為63℃,流量為232L/h,輻射度為700w/m2時(shí),預(yù)測(cè)膜通量為6.44kg/(m2·h),實(shí)驗(yàn)?zāi)ね繛?.24kg/(m2·h),兩者誤差為11.05%。最后,搭架的實(shí)驗(yàn)平臺(tái)首次實(shí)現(xiàn)完全依靠太陽(yáng)能為膜蒸餾系統(tǒng)提供能量,因此,分析呈現(xiàn)了實(shí)驗(yàn)系統(tǒng)運(yùn)行中電流、電壓、功率等物理參數(shù)的變化趨勢(shì),分析了耗電量、真空度和膜組件進(jìn)料液溫度對(duì)膜通量的影響。根據(jù)實(shí)驗(yàn)數(shù)據(jù),對(duì)系統(tǒng)的熱耗、能耗和發(fā)電效率進(jìn)行了簡(jiǎn)要的熱力學(xué)分析。
[Abstract]:Traditional seawater desalination technology consumes conventional energy, high energy consumption and pollution to the environment. Membrane distillation technology can operate at medium and low temperature, so membrane distillation can be combined with solar energy and other low-grade energy. The traditional research usually adopts single factor analysis method, which can not effectively analyze the interaction between the operating parameters. Therefore, in this study, the solar photothermal optoelectronic system is coupled with the hollow fiber membrane distillation module, and the experimental conditions are designed and analyzed by using the response surface method, and the experimental platform which relies entirely on solar energy to provide energy for the membrane distillation system is built. The interaction between the operating parameters is analyzed, the optimal membrane flux and energy consumption under the optimal operating conditions are studied, and the theoretical and experimental studies are carried out. First of all, the experimental platform of solar photothermal optoelectronic hollow fiber membrane distillation system is set up, the all-glass vacuum tube collector is selected to provide heat energy for the membrane module, and the photovoltaic module is used to provide electric energy for the system, in order to make full use of solar energy. The collector and photovoltaic module are installed side by side on the automatic biaxial solar tracking platform, and the hollow fiber membrane distillation module system is coupled to study the influence of different operating parameters on the membrane flux. Secondly, the operating parameters and membrane flux in the solar membrane distillation system are analyzed by using the response surface method (response surface methodology,RSM). Combined with the central composite design method, the experiments under two different working conditions are optimized. According to the experimental conditions designed by the response surface method, the experiments are carried out on the experimental platform, and the experimental data under the two working conditions are collected and analyzed and input into the software for optimization simulation. The experimental data are analyzed by Design-Expert software, the quadratic model is established for regression fitting, the response surface diagram and contour diagram are obtained, and the influence of operation parameters on the response value of membrane flux and the interaction among each parameter are analyzed. The optimal operating conditions and membrane flux response values of the operating parameters are obtained. The results show that the quadratic regression model considering the inlet temperature, inlet flow rate and vacuum degree of the membrane module is significant, the importance factor F 鈮，

本文編號(hào)：2477439