CIESC Journal ›› 2021, Vol. 72 ›› Issue (4): 2156-2166.DOI: 10.11949/0438-1157.20201022
• Separation engineering • Previous Articles Next Articles
ZHANG Qinyi1(),YANG Xiaohong1,2(),DENG Hongling1,HU Junhu1,TIAN Rui1,3
Received:
2020-07-27
Revised:
2020-10-28
Online:
2021-04-05
Published:
2021-04-05
Contact:
YANG Xiaohong
张秦意1(),杨晓宏1,2(),邓洪玲1,胡俊虎1,田瑞1,3
通讯作者:
杨晓宏
作者简介:
张秦意(1997—),男,硕士研究生,基金资助:
CLC Number:
ZHANG Qinyi, YANG Xiaohong, DENG Hongling, HU Junhu, TIAN Rui. Study on optimization of thermal-photovoltaic membrane distillation system based on response surface methodology[J]. CIESC Journal, 2021, 72(4): 2156-2166.
张秦意, 杨晓宏, 邓洪玲, 胡俊虎, 田瑞. 基于响应面法光热-光电膜蒸馏系统优化研究[J]. 化工学报, 2021, 72(4): 2156-2166.
膜丝平均 孔径/μm | 膜丝内、外径/mm | 膜丝长度/mm | 膜面积/m2 | 孔隙率/% |
---|---|---|---|---|
0.2 | 0.6/1.0 | 65 | 0.1 | 60 |
Table 1 Parameters of membrane module
膜丝平均 孔径/μm | 膜丝内、外径/mm | 膜丝长度/mm | 膜面积/m2 | 孔隙率/% |
---|---|---|---|---|
0.2 | 0.6/1.0 | 65 | 0.1 | 60 |
温度点 | 流量点 | 名称 |
---|---|---|
1 | 1 | 集热器入口 |
2 | 1 | 集热器出口 |
3 | 3 | 膜组件入口 |
4 | 3 | 膜组件出口 |
Table 2 Name of measuring point
温度点 | 流量点 | 名称 |
---|---|---|
1 | 1 | 集热器入口 |
2 | 1 | 集热器出口 |
3 | 3 | 膜组件入口 |
4 | 3 | 膜组件出口 |
测量参数 | 测量仪器 |
---|---|
温度 | DTM411数字温度显示仪 |
流量 | LZB-25玻璃转子流量计 |
真空度 | 真空表 |
电导率 | DDS-307电导率仪 |
产水量 | JA31002电子天平 |
Table 3 Parameters and instruments of measurement
测量参数 | 测量仪器 |
---|---|
温度 | DTM411数字温度显示仪 |
流量 | LZB-25玻璃转子流量计 |
真空度 | 真空表 |
电导率 | DDS-307电导率仪 |
产水量 | JA31002电子天平 |
自变量 | 编码 | 水平 | ||||
---|---|---|---|---|---|---|
-α | -1 | 0 | 1 | +α | ||
T/℃ | X1 | 52 | 55 | 59 | 63 | 65 |
Qf/(L/h) | X2 | 31 | 100 | 200 | 300 | 368 |
I/(W/m2) | X3 | 163 | 300 | 500 | 700 | 836 |
Table 4 The code levels of influence factors
自变量 | 编码 | 水平 | ||||
---|---|---|---|---|---|---|
-α | -1 | 0 | 1 | +α | ||
T/℃ | X1 | 52 | 55 | 59 | 63 | 65 |
Qf/(L/h) | X2 | 31 | 100 | 200 | 300 | 368 |
I/(W/m2) | X3 | 163 | 300 | 500 | 700 | 836 |
实验编号 | 实验 类型① | T/℃ | Qf/(L/h) | I/(W/m2) | 响应值 | |||||
---|---|---|---|---|---|---|---|---|---|---|
实际值 | 编码值 | 实际值 | 编码值 | 实际值 | 编码值 | J/(L/(m2·h)) | Ec/(kW·h) | W/(L/(kW·h)) | ||
1 | O1 | 63 | 1 | 100 | -1 | 300 | -1 | 4.76 | 0.63 | 7.555556 |
2 | O2 | 63 | 1 | 300 | 1 | 700 | 1 | 5.34 | 0.49 | 10.89796 |
3 | O3 | 63 | 1 | 300 | 1 | 300 | -1 | 3.899 | 0.51 | 7.645098 |
4 | O4 | 63 | 1 | 100 | -1 | 700 | 1 | 4.9599 | 0.706 | 7.025354 |
5 | O5 | 55 | -1 | 300 | 1 | 300 | -1 | 1.9136 | 0.97 | 1.972784 |
6 | O6 | 55 | -1 | 100 | -1 | 700 | 1 | 2.4683 | 0.765 | 3.226536 |
7 | O7 | 55 | -1 | 300 | 1 | 700 | 1 | 3.2175 | 0.52 | 6.1875 |
8 | O8 | 55 | -1 | 100 | -1 | 300 | -1 | 2.4157 | 0.61 | 3.960164 |
9 | S1 | 65 | 1.68 | 200 | 0 | 500 | 0 | 7.7961 | 0.57 | 13.67737 |
10 | S2 | 52 | -1.68 | 200 | 0 | 500 | 0 | 0.6939 | 0.735 | 0.944082 |
11 | S3 | 59 | 0 | 368 | 1.68 | 500 | 0 | 3.5467 | 0.57 | 6.222281 |
12 | S4 | 59 | 0 | 31 | -1.68 | 500 | 0 | 1.0266 | 0.52 | 1.974231 |
13 | S5 | 59 | 0 | 200 | 0 | 836 | 1.68 | 4.904 | 0.61 | 8.039344 |
14 | S6 | 59 | 0 | 200 | 0 | 163 | -1.68 | 3.0409 | 0.53 | 5.737547 |
15 | C1 | 59 | 0 | 200 | 0 | 500 | 0 | 4.4908 | 0.645 | 6.962481 |
16 | C2 | 59 | 0 | 200 | 0 | 500 | 0 | 4.567 | 0.623 | 7.330658 |
17 | C3 | 59 | 0 | 200 | 0 | 500 | 0 | 4.63 | 0.68 | 6.808824 |
18 | C4 | 59 | 0 | 200 | 0 | 500 | 0 | 4.74 | 0.71 | 6.676056 |
19 | C5 | 59 | 0 | 200 | 0 | 500 | 0 | 4.831 | 0.59 | 8.188136 |
20 | C6 | 59 | 0 | 200 | 0 | 500 | 0 | 4.765 | 0.632 | 7.539557 |
Table 5 Experimental design and results of CCD
实验编号 | 实验 类型① | T/℃ | Qf/(L/h) | I/(W/m2) | 响应值 | |||||
---|---|---|---|---|---|---|---|---|---|---|
实际值 | 编码值 | 实际值 | 编码值 | 实际值 | 编码值 | J/(L/(m2·h)) | Ec/(kW·h) | W/(L/(kW·h)) | ||
1 | O1 | 63 | 1 | 100 | -1 | 300 | -1 | 4.76 | 0.63 | 7.555556 |
2 | O2 | 63 | 1 | 300 | 1 | 700 | 1 | 5.34 | 0.49 | 10.89796 |
3 | O3 | 63 | 1 | 300 | 1 | 300 | -1 | 3.899 | 0.51 | 7.645098 |
4 | O4 | 63 | 1 | 100 | -1 | 700 | 1 | 4.9599 | 0.706 | 7.025354 |
5 | O5 | 55 | -1 | 300 | 1 | 300 | -1 | 1.9136 | 0.97 | 1.972784 |
6 | O6 | 55 | -1 | 100 | -1 | 700 | 1 | 2.4683 | 0.765 | 3.226536 |
7 | O7 | 55 | -1 | 300 | 1 | 700 | 1 | 3.2175 | 0.52 | 6.1875 |
8 | O8 | 55 | -1 | 100 | -1 | 300 | -1 | 2.4157 | 0.61 | 3.960164 |
9 | S1 | 65 | 1.68 | 200 | 0 | 500 | 0 | 7.7961 | 0.57 | 13.67737 |
10 | S2 | 52 | -1.68 | 200 | 0 | 500 | 0 | 0.6939 | 0.735 | 0.944082 |
11 | S3 | 59 | 0 | 368 | 1.68 | 500 | 0 | 3.5467 | 0.57 | 6.222281 |
12 | S4 | 59 | 0 | 31 | -1.68 | 500 | 0 | 1.0266 | 0.52 | 1.974231 |
13 | S5 | 59 | 0 | 200 | 0 | 836 | 1.68 | 4.904 | 0.61 | 8.039344 |
14 | S6 | 59 | 0 | 200 | 0 | 163 | -1.68 | 3.0409 | 0.53 | 5.737547 |
15 | C1 | 59 | 0 | 200 | 0 | 500 | 0 | 4.4908 | 0.645 | 6.962481 |
16 | C2 | 59 | 0 | 200 | 0 | 500 | 0 | 4.567 | 0.623 | 7.330658 |
17 | C3 | 59 | 0 | 200 | 0 | 500 | 0 | 4.63 | 0.68 | 6.808824 |
18 | C4 | 59 | 0 | 200 | 0 | 500 | 0 | 4.74 | 0.71 | 6.676056 |
19 | C5 | 59 | 0 | 200 | 0 | 500 | 0 | 4.831 | 0.59 | 8.188136 |
20 | C6 | 59 | 0 | 200 | 0 | 500 | 0 | 4.765 | 0.632 | 7.539557 |
来源 | 自由度 | 平方和 | 均方 | F值 | P值 | R2 | R2adj | AP |
---|---|---|---|---|---|---|---|---|
模型 | 9 | 46.25 | 5.14 | 9.2 | 0.0009 | 0.8922 | 0.7952 | 10.21 |
残差 | 10 | 5.59 | 0.56 | — | — | — | — | — |
总和 | 19 | 51.84 | — | — | — | — | — | — |
Table 6 Variance analysis of RSM model of the membrane flux
来源 | 自由度 | 平方和 | 均方 | F值 | P值 | R2 | R2adj | AP |
---|---|---|---|---|---|---|---|---|
模型 | 9 | 46.25 | 5.14 | 9.2 | 0.0009 | 0.8922 | 0.7952 | 10.21 |
残差 | 10 | 5.59 | 0.56 | — | — | — | — | — |
总和 | 19 | 51.84 | — | — | — | — | — | — |
来源 | 自由度 | 平方和 | 均方 | F值 | P值 | R2 | R2adj | AP |
---|---|---|---|---|---|---|---|---|
模型 | 9 | 159.29 | 17.7 | 15.72 | 0.0001 | 0.934 | 0.8746 | 13.85 |
残差 | 10 | 11.26 | 1.13 | — | — | — | — | — |
总和 | 19 | 170.55 | — | — | — | — | — | — |
Table 7 Variance analysis of RSM model of the energy consumption
来源 | 自由度 | 平方和 | 均方 | F值 | P值 | R2 | R2adj | AP |
---|---|---|---|---|---|---|---|---|
模型 | 9 | 159.29 | 17.7 | 15.72 | 0.0001 | 0.934 | 0.8746 | 13.85 |
残差 | 10 | 11.26 | 1.13 | — | — | — | — | — |
总和 | 19 | 170.55 | — | — | — | — | — | — |
T/℃ | Qf/(L/h) | I/(W/m2) | J/(L/(m2·h)) | 误差/% | |
---|---|---|---|---|---|
预测值 | 实验值 | ||||
63 | 232 | 700 | 6.39 | 7.28 | 12.23 |
Table 8 The optimal membrane flux under optimal operating conditions
T/℃ | Qf/(L/h) | I/(W/m2) | J/(L/(m2·h)) | 误差/% | |
---|---|---|---|---|---|
预测值 | 实验值 | ||||
63 | 232 | 700 | 6.39 | 7.28 | 12.23 |
名称 | 价格/元 |
---|---|
集热器及配件 | 850 |
光伏板及配件 | 940 |
膜组件 | 3000 |
循环、真空泵 | 520 |
管道 | 168 |
保温水箱 | 550 |
运行维护成本 | 500 |
Table 9 Investment estimation of the system
名称 | 价格/元 |
---|---|
集热器及配件 | 850 |
光伏板及配件 | 940 |
膜组件 | 3000 |
循环、真空泵 | 520 |
管道 | 168 |
保温水箱 | 550 |
运行维护成本 | 500 |
1 | Yang H, Fu M X, Zhan Z L, et al. Study on combined freezing-based desalination processes with microwave treatment[J]. Desalination, 2020, 475: 114201. |
2 | Zheng Y J, Hatzell K B. Technoeconomic analysis of solar thermal desalination[J]. Desalination, 2020, 474: 114168. |
3 | Bendevis P, Karam A, Laleg-Kirati T M. Optimal model-free control of solar thermal membrane distillation system[J]. Computers & Chemical Engineering, 2020, 133: 106622. |
4 | Jaradat A Q, Gharaibeh S, Abu Irjei M. The application of solar distillation technique as a mean for olive mill wastewater management[J]. Water and Environment Journal, 2018, 32(1): 134-140. |
5 | Manchanda H, Kumar M. Study of water desalination techniques and a review on active solar distillation methods[J]. Environmental Progress & Sustainable Energy, 2018, 37(1): 444-464. |
6 | 丁春立, 林帝出, 王德武, 等. 电纺及疏水改性制备CA/SiNPs-FAS超疏水复合膜及膜蒸馏脱盐研究[J]. 化工学报, 2018, 69(4): 1774-1782. |
Ding C L, Lin D C, Wang D W, et al. Preparation of superhydrophobic CA/SiNPs-FAS electrospun nanofibrous membranes for direct contact membrane distillation[J]. CIESC Journal, 2018, 69(4): 1774-1782. | |
7 | 刘羊九, 韩吉田, 王云山, 等. 直接接触式膜蒸馏用于处理含盐溶液的实验研究[J]. 化工学报, 2018, 69: 246-251. |
Liu Y J, Han J T, Wang Y S, et al. Experimental study on saline solution by direct contact membrane distillation[J]. CIESC Journal, 2018, 69: 246-251. | |
8 | Moejes S N, van Wonderen G J, Bitter J H, et al. Assessment of air gap membrane distillation for milk concentration[J]. Journal of Membrane Science, 2020, 594: 117403. |
9 | Yang H C, Zhong W W, Hou J W, et al. Janus hollow fiber membrane with a mussel-inspired coating on the lumen surface for direct contact membrane distillation[J]. Journal of Membrane Science, 2017, 523: 1-7. |
10 | Mansour S, Giwa A, Hasan S W. Novel graphene nanoplatelets-coated polyethylene membrane for the treatment of reject brine by pilot-scale direct contact membrane distillation: an optimization study[J]. Desalination, 2018, 441: 9-20. |
11 | 姜晓滨, 孙国鑫, 贺高红. 高效膜蒸馏结晶过程的研究进展[J]. 化工学报, 2020, 71(9): 3905-3918. |
Jiang X B, Sun G X, He G H. Research progress of high-efficiency membrane distillation crystallization process[J]. CIESC Journal, 2020, 71(9): 3905-3918. | |
12 | 白炳林, 杨晓宏, 田瑞, 等. 太阳能光热-光电中空纤维真空膜蒸馏系统理论与实验研究[J]. 化工学报, 2019, 70(9): 3517-3526. |
Bai B L, Yang X H, Tian R, et al. Theoretical and experimental research on solar thermal-photovoltaic hollow fiber vacuum membrane distillation system[J]. CIESC Journal, 2019, 70(9): 3517-3526. | |
13 | Fath H E S, Elsherbiny S M, Hassan A A, et al. PV and thermally driven small-scale, stand-alone solar desalination systems with very low maintenance needs[J]. Desalination, 2008, 225(1/2/3): 58-69. |
14 | Drioli E, Ali A, Macedonio F. Membrane distillation: recent developments and perspectives[J]. Desalination, 2015, 356: 56-84. |
15 | Alkhudhiri A, Darwish N, Hilal N. Membrane distillation: a comprehensive review[J]. Desalination, 2012, 287: 2-18. |
16 | Tong X, Liu S, Chen Y S, et al. Thermodynamic analysis of a solar thermal facilitated membrane seawater desalination process[J]. Journal of Cleaner Production, 2020, 256: 120398. |
17 | Li W P, Chen Y Q, Yao L, et al. Fe3O4/PVDF-HFP photothermal membrane with in situ heating for sustainable, stable and efficient pilot-scale solar-driven membrane distillation[J]. Desalination, 2020, 478: 114288. |
18 | Li G P, Lu L. Modeling and performance analysis of a fully solar-powered stand-alone sweeping gas membrane distillation desalination system for island and coastal households[J]. Energy Conversion and Management, 2020, 205: 112375. |
19 | 李洪建. 太阳能空气隙膜蒸馏系统的实验研究[D]. 呼和浩特: 内蒙古工业大学, 2016. |
Li H J. Experimental study on solar air gap membrane distillation[D]. Hohhot: Inner Mongolia University of Tehchnology, 2016. | |
20 | Ebadi M, Mozdianfard M R, Aliabadi M. Employing full factorial design and response surface methodology for optimizing direct contact membrane distillation operational conditions in desalinating the rejected stream of a reverse osmosis unit at Esfahan refinery–Iran[J]. Water Supply, 2019, 19(2): 492-501. |
21 | Liu J, Liu M L, Guo H, et al. Mass transfer in hollow fiber vacuum membrane distillation process based on membrane structure[J]. Journal of Membrane Science, 2017, 532: 115-123. |
22 | Zhu H L, Wang H J, Wang F, et al. Preparation and properties of PTFE hollow fiber membranes for desalination through vacuum membrane distillation[J]. Journal of Membrane Science, 2013, 446: 145-153. |
23 | Çelebican Ö, İnci İ, Baylan N. Modeling and optimization of formic acid adsorption by multiwall carbon nanotube using response surface methodology[J]. Journal of Molecular Structure, 2020, 1203: 127312. |
24 | Saha P, Waghmare D. Parametric optimization for autogenous butt laser welding of sub-millimeter thick SS 316 sheets using central composite design[J]. Optics & Laser Technology, 2020, 122: 105833. |
25 | Ayan E, Baylan N, Çehreli S. Optimization of reactive extraction of propionic acid with ionic liquids using central composite design[J]. Chemical Engineering Research and Design, 2020, 153: 666-676. |
26 | Machrouhi A, Alilou H, Farnane M, et al. Statistical optimization of activated carbon from Thapsia transtagana stems and dyes removal efficiency using central composite design[J]. Journal of Science: Advanced Materials and Devices, 2019, 4(4): 544-553. |
27 | de Sodipo B K, Aziz A A. Optimization of sonochemical method of functionalizing Amino-Silane on superparamagnetic iron oxide nanoparticles using Central Composite Design[J]. Ultrasonics Sonochemistry, 2020, 64: 104856. |
28 | Zhou B X, Wang T, Li C, et al. Multi-objective optimization of the preparation parameters of the powdered activated coke for SO2 adsorption using response surface methodology[J]. Journal of Analytical and Applied Pyrolysis, 2020, 146: 104776. |
29 | 张绮钰, 童乐, 岳晨. 液隙式热泵膜蒸馏海水淡化系统的热力性能分析[J]. 过程工程学报,2020, 20(11): 1265-1272. |
Zhang Q Y, Tong L, Yue C. Thermal performance analysis of seawater desalination system based on liquid gap heat pump membrane distillation [J]. Chin. J. Process Eng., 2020, 20(11): 1265-1272. | |
30 | Singh V, Belova L, Singh B, et al. Biodiesel production using a novel heterogeneous catalyst, magnesium zirconate (Mg2Zr5O12): process optimization through response surface methodology (RSM)[J]. Energy Conversion and Management, 2018, 174: 198-207. |
31 | Sharma D, Yadav K D, Kumar S. Biotransformation of flower waste composting: optimization of waste combinations using response surface methodology[J]. Bioresource Technology, 2018, 270: 198-207. |
32 | Zarzoum K, Zhani K, Ben Bacha H, et al. Experimental parametric study of membrane distillation unit using solar energy[J]. Solar Energy, 2019, 188: 1274-1282. |
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