Efficient design and optimisation of two-stage NF processes by simplified process simulation

被引:9
|
作者
Noronha, M
Mavrov, V
Chmiel, H
机构
[1] Inst Environmentally Compatible Proc Technol Ltd, D-66123 Saarbrucken, Germany
[2] Univ Saarland, Dept Proc Technol, D-66123 Saarbrucken, Germany
关键词
nanofiltration; process simulation; design; optimisation; two-stage process;
D O I
10.1016/S0011-9164(02)00414-9
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The modelling of membrane filtration processes is often conducted by applying black-box models or short-cut methods because of its complexity due to molecular interactions on and inside the membrane. The assumptions made for the short-cut-methods are applicable for reverse osmosis, whereas the simulation of nanofiltration processes can lead to unreliable results, which sometimes deviate greatly from real conditions. A steady-state process simulation NF-PROJECT, which is based on input information from membrane characterisation, was developed (isothermal operation). The individual separation characteristics of every membrane element are calculated in iteration, which leads to reduction of permeability and rejection for every further element arranged in series inside the pressure vessel. The simulation provides information on the increasing feed concentration and osmotic pressure, the hydraulic pressure loss, the deterioration of the flow conditions along the feed side in the vessel and the combined performance of the membrane elements to be analysed. Serving as an example from practical applications, a two-stage nanofiltration pilot plant was simulated, the results of which will be presented. Examples of design and optimisation potentials will be illustrated for the target criteria of economic efficiency (specific energy costs), permeate quality and flow.
引用
收藏
页码:207 / 215
页数:9
相关论文
共 50 条
  • [11] Simulation and optimisation of a two-stage/two-pass reverse osmosis system for improved removal of chlorophenol from wastewater
    Al-Obaidi, M. A.
    Kara-Zaitri, C.
    Mujtaba, I. M.
    JOURNAL OF WATER PROCESS ENGINEERING, 2018, 22 : 131 - 137
  • [12] Optimisation of two-stage biomass gasification for hydrogen production via artificial neural network
    Kargbo, Hannah O.
    Zhang, Jie
    Phan, Anh N.
    APPLIED ENERGY, 2021, 302
  • [13] Modelling, Simulation and Optimisation of an Integrated Two-Stage P/VSA Process for Post-Combustion CO2 Capture Using Combinations of Adsorbents
    Nikolaidis, George N.
    Kikkinides, Eustathios S.
    Georgiadis, Michael C.
    27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C, 2017, 40C : 2647 - 2652
  • [14] Multi-criteria genetic optimisation of the manoeuvres of a two-stage launcher
    Alonso Zotes, Fernando
    Santos Penas, Matilde
    INFORMATION SCIENCES, 2010, 180 (06) : 896 - 910
  • [15] Two-stage glowworm swarm optimisation for economical operation of hydropower station
    Wang, Xiaoyu
    Yang, Kan
    Zhou, Xianghua
    IET RENEWABLE POWER GENERATION, 2018, 12 (09) : 992 - 1003
  • [16] Efficient solution selection for two-stage stochastic programs
    Fei, Xin
    Gulpinar, Nalan
    Branke, Jurgen
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 277 (03) : 918 - 929
  • [17] Two-stage FO-BWRO/NF treatment of saline waters
    Altaee, Ali
    Ismail, Ahmad Fauzi
    Sharif, Adel
    Zaragoza, Guillermo
    Carvalho, Paulo Cesar
    DESALINATION AND WATER TREATMENT, 2016, 57 (11) : 4842 - 4852
  • [18] A Two-Stage Simulation Optimization Method Based on Metamodel
    Liu, Zhizhao
    Li, Wei
    Yang, Ming
    THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT IV, 2016, 646 : 82 - 91
  • [19] Kinetics of two-stage fermentation process for the production of hydrogen
    Nath, Kaushik
    Muthukumar, Manoj
    Kumar, Anish
    Das, Debabrata
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2008, 33 (04) : 1195 - 1203
  • [20] Novel two-stage processes for optimal chemical production in microbes
    Raj, Kaushik
    Venayak, Naveen
    Mahadevan, Radhakrishnan
    METABOLIC ENGINEERING, 2020, 62 : 186 - 197