Artykuły w czasopismach na temat „Reverse osmosis networks”
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Maskan, Fazilet, Dianne E. Wiley, Lloyd P. M. Johnston i David J. Clements. "Optimal design of reverse osmosis module networks". AIChE Journal 46, nr 5 (maj 2000): 946–54. http://dx.doi.org/10.1002/aic.690460509.
Pełny tekst źródłaEl-Halwagi, Mahmoud M. "Synthesis of reverse-osmosis networks for waste reduction". AIChE Journal 38, nr 8 (sierpień 1992): 1185–98. http://dx.doi.org/10.1002/aic.690380806.
Pełny tekst źródłaVoros, N., Z. B. Maroulis i D. Marinos-Kouris. "Optimization of reverse osmosis networks for seawater desalination". Computers & Chemical Engineering 20 (styczeń 1996): S345—S350. http://dx.doi.org/10.1016/0098-1354(96)00068-3.
Pełny tekst źródłaZhu, M. "Optimal design and scheduling of flexible reverse osmosis networks". Journal of Membrane Science 129, nr 2 (9.07.1997): 161–74. http://dx.doi.org/10.1016/s0376-7388(96)00310-9.
Pełny tekst źródłaJiang, Aipeng, Lorenz T. Biegler, Jian Wang, Wen Cheng, Qiang Ding i Shu Jiangzhou. "Optimal operations for large-scale seawater reverse osmosis networks". Journal of Membrane Science 476 (luty 2015): 508–24. http://dx.doi.org/10.1016/j.memsci.2014.12.005.
Pełny tekst źródłaDu, Yawei, Lixin Xie, Yuxin Wang, Yingjun Xu i Shichang Wang. "Optimization of Reverse Osmosis Networks with Spiral-Wound Modules". Industrial & Engineering Chemistry Research 51, nr 36 (29.08.2012): 11764–77. http://dx.doi.org/10.1021/ie300650b.
Pełny tekst źródłaLu, Yanyue, Anping Liao i Yangdong Hu. "Design of reverse osmosis networks for multiple freshwater production". Korean Journal of Chemical Engineering 30, nr 5 (27.02.2013): 988–96. http://dx.doi.org/10.1007/s11814-013-0009-8.
Pełny tekst źródłaSaif, Y., A. Elkamel i M. Pritzker. "Optimal design of reverse-osmosis networks for wastewater treatment". Chemical Engineering and Processing: Process Intensification 47, nr 12 (listopad 2008): 2163–74. http://dx.doi.org/10.1016/j.cep.2007.11.007.
Pełny tekst źródłaSee, H. J., D. I. Wilson, V. S. Vassiliadis i G. T. Parks. "Design of reverse osmosis (RO) water treatment networks subject to fouling". Water Science and Technology 49, nr 2 (1.01.2004): 263–70. http://dx.doi.org/10.2166/wst.2004.0139.
Pełny tekst źródłaDu, Yawei, Lixin Xie, Yan Liu, Shaofeng Zhang i Yingjun Xu. "Optimization of reverse osmosis networks with split partial second pass design". Desalination 365 (czerwiec 2015): 365–80. http://dx.doi.org/10.1016/j.desal.2015.03.019.
Pełny tekst źródłaSee, H. J., V. S. Vassiliadis i D. I. Wilson. "Optimisation of membrane regeneration scheduling in reverse osmosis networks for seawater desalination". Desalination 125, nr 1-3 (listopad 1999): 37–54. http://dx.doi.org/10.1016/s0011-9164(99)00122-8.
Pełny tekst źródłaMarcovecchio, Marian G., Pío A. Aguirre i Nicolás J. Scenna. "Global optimal design of reverse osmosis networks for seawater desalination: modeling and algorithm". Desalination 184, nr 1-3 (listopad 2005): 259–71. http://dx.doi.org/10.1016/j.desal.2005.03.056.
Pełny tekst źródłaDu, Yawei, Xuefei Liang, Yan Liu, Lixin Xie i Shaofeng Zhang. "Exergo-economic analysis and multi-objective optimization of seawater reverse osmosis desalination networks". Desalination 466 (wrzesień 2019): 1–15. http://dx.doi.org/10.1016/j.desal.2019.04.030.
Pełny tekst źródłaLiu, Chao, Chao Wang, Yongqiang Guo, Jiaming Zhang, Yingying Cao, Hongpeng Liu, Zhen Hu i Chunhua Zhang. "High-performance polyamide membrane with tailored water channel prepared via bionic neural networks for textile wastewater treatment". Journal of Materials Chemistry A 7, nr 12 (2019): 6695–707. http://dx.doi.org/10.1039/c9ta00031c.
Pełny tekst źródłaDu, Yawei, Yan Liu, Shaofeng Zhang i Yingjun Xu. "Optimization of Seawater Reverse Osmosis Desalination Networks with Permeate Split Design Considering Boron Removal". Industrial & Engineering Chemistry Research 55, nr 50 (6.12.2016): 12860–79. http://dx.doi.org/10.1021/acs.iecr.6b02225.
Pełny tekst źródłaGu, Jianghang, Jiu Luo, Mingheng Li, Chunyan Huang i Yi Heng. "Modeling of pressure drop in reverse osmosis feed channels using multilayer artificial neural networks". Chemical Engineering Research and Design 159 (lipiec 2020): 146–56. http://dx.doi.org/10.1016/j.cherd.2020.04.019.
Pełny tekst źródłaLinke, Patrick. "A Novel Approach for Targeting and Optimal Design of Efficient Seawater Reverse Osmosis Desalination Networks". Qatar Foundation Annual Research Forum Proceedings, nr 2011 (listopad 2011): EVP15. http://dx.doi.org/10.5339/qfarf.2011.evp15.
Pełny tekst źródłaDu, Yawei, Lixin Xie, Jie Liu, Yuxin Wang, Yingjun Xu i Shichang Wang. "Multi-objective optimization of reverse osmosis networks by lexicographic optimization and augmented epsilon constraint method". Desalination 333, nr 1 (styczeń 2014): 66–81. http://dx.doi.org/10.1016/j.desal.2013.10.028.
Pełny tekst źródłaCabrera, Pedro, José A. Carta, Jaime González i Gustavo Melián. "Artificial neural networks applied to manage the variable operation of a simple seawater reverse osmosis plant". Desalination 416 (sierpień 2017): 140–56. http://dx.doi.org/10.1016/j.desal.2017.04.032.
Pełny tekst źródłaWang, Jichao, Shanshan Gao, Jiayu Tian, Fuyi Cui i Wenxin Shi. "Recent Developments and Future Challenges of Hydrogels as Draw Solutes in Forward Osmosis Process". Water 12, nr 3 (3.03.2020): 692. http://dx.doi.org/10.3390/w12030692.
Pełny tekst źródłaBuabeng-Baidoo, Esther, i Thokozani Majozi. "Effective Synthesis and Optimization Framework for Integrated Water and Membrane Networks: A Focus on Reverse Osmosis Membranes". Industrial & Engineering Chemistry Research 54, nr 38 (15.09.2015): 9394–406. http://dx.doi.org/10.1021/acs.iecr.5b01803.
Pełny tekst źródłaKhaouane, Latifa, Yamina Ammi i Salah Hanini. "Modeling the Retention of Organic Compounds by Nanofiltration and Reverse Osmosis Membranes Using Bootstrap Aggregated Neural Networks". Arabian Journal for Science and Engineering 42, nr 4 (28.09.2016): 1443–53. http://dx.doi.org/10.1007/s13369-016-2320-2.
Pełny tekst źródłaHuliienko, S. V., Y. M. Korniienko i K. O. Gatilov. "Modern trends in the mathematical simulation of pressure-driven membrane processes". Journal of Engineering Sciences 7, nr 1 (2020): F1—F21. http://dx.doi.org/10.21272/jes.2020.7(1).f1.
Pełny tekst źródłaAntas, Francisco P. de S., Jair J. R. de Freitas, André M. de Oliveira, Nildo da S. Dias, Alexandre de O. Lima i Osvaldo N. de Sousa Neto. "A proposed index to assess quality of waters from desalination plants". Revista Brasileira de Engenharia Agrícola e Ambiental 22, nr 10 (październik 2018): 667–72. http://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p667-672.
Pełny tekst źródłaAmmi, Yamina, Latifa Khaouane i Salah Hanini. "Prediction of the rejection of organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes using neural networks". Korean Journal of Chemical Engineering 32, nr 11 (17.09.2015): 2300–2310. http://dx.doi.org/10.1007/s11814-015-0086-y.
Pełny tekst źródłaPowar, Vishwas, i Rajendra Singh. "Stand-Alone Direct Current Power Network Based on Photovoltaics and Lithium-Ion Batteries for Reverse Osmosis Desalination Plant". Energies 14, nr 10 (12.05.2021): 2772. http://dx.doi.org/10.3390/en14102772.
Pełny tekst źródłaAmmi, Yamina, Latifa Khaouane i Salah Hanini. "A Model Based on Bootstrapped Neural Networks for Modeling the Removal of Organic Compounds by Nanofiltration and Reverse Osmosis Membranes". Arabian Journal for Science and Engineering 43, nr 11 (2.08.2018): 6271–84. http://dx.doi.org/10.1007/s13369-018-3484-8.
Pełny tekst źródłaLi, Qian, Jorge Loy-Benitez, KiJeon Nam, Soonho Hwangbo, Jouan Rashidi i ChangKyoo Yoo. "Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks". Energy 178 (lipiec 2019): 277–92. http://dx.doi.org/10.1016/j.energy.2019.04.114.
Pełny tekst źródłaAbdul Ghani, Latifah, Ilyanni Syazira Nazaran, Nora’aini Ali i Marlia Mohd Hanafiah. "Improving Prediction Accuracy of Socio-Human Relationships in a Small-Scale Desalination Plant". Sustainability 12, nr 17 (26.08.2020): 6949. http://dx.doi.org/10.3390/su12176949.
Pełny tekst źródłaAsghari, Morteza, Amir Dashti, Mashallah Rezakazemi, Ebrahim Jokar i Hadi Halakoei. "Application of neural networks in membrane separation". Reviews in Chemical Engineering 36, nr 2 (28.01.2020): 265–310. http://dx.doi.org/10.1515/revce-2018-0011.
Pełny tekst źródłaFranco, Edian F., Pratip Rana, Ana Lidia Queiroz Cavalcante, Artur Luiz da Silva, Anne Cybelle Pinto Gomide, Adriana R. Carneiro Folador, Vasco Azevedo, Preetam Ghosh i Rommel T. J. Ramos. "Co-Expression Networks for Causal Gene Identification Based on RNA-Seq Data of Corynebacterium pseudotuberculosis". Genes 11, nr 7 (14.07.2020): 794. http://dx.doi.org/10.3390/genes11070794.
Pełny tekst źródłaAl-Obaidi, M. A., C. Kara-Zaïtri i I. M. Mujtaba. "Performance evaluation of multi-stage and multi-pass reverse osmosis networks for the removal of N-nitrosodimethylamine -D6 (NDMA) from wastewater using model-based techniques". Journal of Environmental Chemical Engineering 6, nr 4 (sierpień 2018): 4797–808. http://dx.doi.org/10.1016/j.jece.2018.06.014.
Pełny tekst źródłaAmmi, Yamina, Salah Hanini i Latifa Khaouane. "An artificial intelligence approach for modeling the rejection of anti-inflammatory drugs by nanofiltration and reverse osmosis membranes using kernel support vector machine and neural networks". Comptes Rendus. Chimie 24, nr 2 (21.05.2021): 243–54. http://dx.doi.org/10.5802/crchim.76.
Pełny tekst źródłaFarahbakhsh, Javad, Mohammad Delnavaz i Vahid Vatanpour. "Simulation and characterization of novel reverse osmosis membrane prepared by blending polypyrrole coated multiwalled carbon nanotubes for brackish water desalination and antifouling properties using artificial neural networks". Journal of Membrane Science 581 (lipiec 2019): 123–38. http://dx.doi.org/10.1016/j.memsci.2019.03.050.
Pełny tekst źródłaAbbas, Thabit, Qays M. Ammouri, Thikra Shihab i Ola Jabur. "Decreasing the Tendency of Water to Form Scale and Corrosion in Cooling Towers – South Refineries Company (SRC) – Iraq". Journal of Petroleum Research and Studies 11, nr 2 (29.06.2021): 15–29. http://dx.doi.org/10.52716/jprs.v11i2.512.
Pełny tekst źródłaAbbas, Thabit, Qays Muthna, Thikra Shihab i Ola Jabur. "Decreasing the Tendency of Water to Form Scale and Corrosion in Cooling Towers – South Refineries Company (SRC) – Iraq". Journal of Petroleum Research and Studies 11, nr 2 (20.06.2021): 15–29. http://dx.doi.org/10.52716/jprs.v11i2.495.
Pełny tekst źródłaParra, Abdon, Mario Noriega, Lidia Yokohama i Miguel Bagajewicz. "Reverse Osmosis Network Rigorous Design Optimization". Industrial & Engineering Chemistry Research 58, nr 8 (17.01.2019): 3060–71. http://dx.doi.org/10.1021/acs.iecr.8b02639.
Pełny tekst źródłaKamal, Athar, Sami G. Al-Ghamdi i Muammer Koç. "Assessing the Impact of Water Efficiency Policies on Qatar’s Electricity and Water Sectors". Energies 14, nr 14 (19.07.2021): 4348. http://dx.doi.org/10.3390/en14144348.
Pełny tekst źródłaAmmi, Yamina, Latifa Khaouane i Salah Hanini. "A Comparison of “Neural Networks and Multiple Linear Regressions” Models to Describe the Rejection of Micropollutants by Membranes". Kemija u industriji 69, nr 3-4 (2020): 111–27. http://dx.doi.org/10.15255/kui.2019.024.
Pełny tekst źródłaSafder, Usman, Pouya Ifaei, KiJeon Nam, Jouan Rashidi i ChangKyoo Yoo. "Availability and reliability analysis of integrated reverse osmosis - forward osmosis desalination network". DESALINATION AND WATER TREATMENT 109 (2018): 1–7. http://dx.doi.org/10.5004/dwt.2018.22147.
Pełny tekst źródłaSaif, Y., i A. Almansoori. "Synthesis of reverse osmosis desalination network under boron specifications". Desalination 371 (wrzesień 2015): 26–36. http://dx.doi.org/10.1016/j.desal.2015.05.012.
Pełny tekst źródłaSchiek, William A., i Emerson M. Babb. "Impact of Reverse Osmosis on Southeast Milk Markets". Journal of Agricultural and Applied Economics 21, nr 2 (grudzień 1989): 63–75. http://dx.doi.org/10.1017/s0081305200001187.
Pełny tekst źródłaBelila, A., J. El-Chakhtoura, P. E. Saikaly, M. C. M. van Loosdrecht i J. S. Vrouwenvelder. "Eukaryotic community diversity and spatial variation during drinking water production (by seawater desalination) and distribution in a full-scale network". Environmental Science: Water Research & Technology 3, nr 1 (2017): 92–105. http://dx.doi.org/10.1039/c6ew00265j.
Pełny tekst źródłaVirapan, S., R. Saravanane i V. Murugaiyan. "Reverse Osmosis Desalination Performance Using Artificial Neural Network Approach with Optimization". Asian Journal of Water, Environment and Pollution 13, nr 3 (18.07.2016): 95–102. http://dx.doi.org/10.3233/ajw-160031.
Pełny tekst źródłaSaif, Yousef, Ali Elkamel i Mark Pritzker. "Global Optimization of Reverse Osmosis Network for Wastewater Treatment and Minimization". Industrial & Engineering Chemistry Research 47, nr 9 (maj 2008): 3060–70. http://dx.doi.org/10.1021/ie071316j.
Pełny tekst źródłaAlnouri, Sabla Y., i Patrick Linke. "Optimal seawater reverse osmosis network design considering product water boron specifications". Desalination 345 (lipiec 2014): 112–27. http://dx.doi.org/10.1016/j.desal.2014.04.030.
Pełny tekst źródłaSaif, Yousef, Muhammad Rizwan, Ali Almansoori i Ali Elkamel. "MINLP Model for Reverse Osmosis Network Design under Time-Variant Operation Constraints". Industrial & Engineering Chemistry Research 58, nr 49 (22.11.2019): 22315–23. http://dx.doi.org/10.1021/acs.iecr.9b05450.
Pełny tekst źródłaLibotean, Dan, Jaume Giralt, Francesc Giralt, Robert Rallo, Tom Wolfe i Yoram Cohen. "Neural network approach for modeling the performance of reverse osmosis membrane desalting". Journal of Membrane Science 326, nr 2 (styczeń 2009): 408–19. http://dx.doi.org/10.1016/j.memsci.2008.10.028.
Pełny tekst źródłaAl-Obaidi, M. A., C. Kara-Zaïtri i I. M. Mujtaba. "Optimal Reverse Osmosis Network Configuration for the Rejection of Dimethylphenol from Wastewater". Journal of Environmental Engineering 144, nr 1 (styczeń 2018): 04017080. http://dx.doi.org/10.1061/(asce)ee.1943-7870.0001284.
Pełny tekst źródłaCruz-Silva, Rodolfo, Shigeki Inukai, Takumi Araki, Aaron Morelos-Gomez, Josue Ortiz-Medina, Kenji Takeuchi, Takuya Hayashi i in. "High Performance and Chlorine Resistant Carbon Nanotube/Aromatic Polyamide Reverse Osmosis Nanocomposite Membrane". MRS Advances 1, nr 20 (2016): 1469–76. http://dx.doi.org/10.1557/adv.2016.232.
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