![[logo] US EPA](https://webarchive.library.unt.edu/eot2008/20081106073553im_/http://www.epa.gov/epafiles/images/logo_epaseal.gif){kind=logo}
1998 Progress Report: Predictive Tool for Ultrafiltration Performance
EPA Grant Number: R825370C054Subproject: this is subproject number 054 , established and managed by the Center Director under grant R825370
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: EERC - National Center for Clean Industrial and Treatment Technologies (CenCITT)
Center Director: Crittenden, John C.
Title: Predictive Tool for Ultrafiltration Performance
Investigators: Semmens, Michael J. , Huff, Brian C.
Institution: University of Minnesota
EPA Project Officer: Karn, Barbara
Project Period:
Project Period Covered by this Report: January 1, 1997 through January 1, 1998
RFA: Exploratory Environmental Research Centers (1992)
Research Category: Center for Clean Industrial and Treatment Technologies (CenCITT) , Targeted Research
Description:
Objective:To create a computer model to help design engineers predict ultrafiltration membrane performance using global and empirical models.
Progress Summary:Ultrafiltration is a highly efficient separation process. It can be used in a variety of industrial applications, such as electroplating and painting, to recover products for reuse, or separate them for resale. In the future, when pollution prevention planning exists throughout industry, ultrafiltration is expected to be widely implemented. If a waste stream cannot be reused, then in most cases its volume can be reduced by separating the water and thickening the waste. This will facilitate better treatment or disposal.
Lastly, ultrafiltration is becoming more popular in water and wastewater treatment plants to separate organics from feed waters, thereby reducing the number of THM precursors. If ultrafiltration is to have such a prominent place in the future, then we need to create better tools to predict its performance.
At first, we will analyze articles in the literature for current ultrafiltration prediction models. We will analyze each model's strengths and weaknesses. Several different models will be required, each requiring different input from the user.
It would be best to make the tool as versatile as possible by including several different models into the program. For example, if the user has little information about the system, a mechanistic model may be used to approximate flux values. If more information is known, the user may input experimental data into the computer. Using this data, the program will determine the empirical coefficients, and then allow the user to alter the model parameters to predict flux with greater accuracy. Extensive help files will be made available on each model's strengths and limitations.
The computational aspects of the software tool are nearly complete with user interface design and testing currently in the final stages. Due to funding limitations, plans to expand the tool have been reduced and plans are being made to complete the existing stand-alone elements of the model that may have an application by other researchers within CenCITT and elsewhere.
At the current stage of development, the model can predict membrane flux using mechanistic and empirical models. However, due to difficulties with data sets, the empirical models are not as powerful as initially hoped. This project is expected to be complete by the end of calendar year 1998.
Journal Articles:No journal articles submitted with this report: View all 1 publications for this subproject
Supplemental Keywords:Ecosystem Protection/Environmental Exposure & Risk, Sustainable Industry/Business, Scientific Discipline, RFA, Technology for Sustainable Environment, Sustainable Environment, Chemistry, computing technology, cleaner production/pollution prevention, Chemistry and Materials Science, New/Innovative technologies, Engineering, reuse, membrane technology, membranes, recovery, carbon black, membrane process, modeling, pollution prevention, separation selectivities, ultrafiltration UF, membrane modules
Progress and Final Reports:
Original Abstract
1999 Progress Report
Main Center Abstract and Reports:
R825370 EERC - National Center for Clean Industrial and Treatment Technologies (CenCITT)
Subprojects under this Center:
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R825370C032 Means for Producing an Entirely New Generation of Lignin-Based Plastics
R825370C042 Environmentally Conscious Design for Construction
R825370C046 Clean Process Advisory System (CPAS) Core Activities
R825370C048 Investigation of the Partial Oxidation of Methane to Methanol in a Simulated Countercurrent Moving Bed Reactor
R825370C054 Predictive Tool for Ultrafiltration Performance
R825370C055 Heuristic Reactor Design for Clean Synthesis and Processing - Separative Reactors
R825370C056 Characterization of Selective Solid Acid Catalysts Towards the Rational Design of Catalytic Reactions
R825370C057 Environmentally Conscious Manufacturing: Prediction of Processing Waste Streams for Discrete Products
R825370C064 The Physical Properties Management System (PPMS™): A P2 Engineering Aid to Support Process Design and Analysis
R825370C065 Development and Testing of Pollution Prevention Design Aids for Process Analysis and Decision Making
R825370C066 Design Tools for Chemical Process Safety: Accident Probability
R825370C067 Environmentally Conscious Manufacturing: Design for Disassembly (DFD) in De-Manufacturing of Products
R825370C068 An Economic Comparison of Wet and Dry Machining
R825370C069 In-Line Copper Recovery Technology
R825370C070 Selective Catalytic Hydrogenation of Lactic Acid
R825370C071 Biosynthesis of Polyhydroxyalkanoate Polymers from Industrial Wastewater
R825370C072 Tin Zeolites for Partial Oxidation Catalysis
R825370C073 Development of a High Performance Photocatalytic Reactor System for the Production of Methanol from Methane in the Gas Phase
R825370C074 Recovery of Waste Polymer Generated by Lost Foam Technology in the Metal Casting Industry
R825370C075 Industrial Implementation of the P2 Framework
R825370C076 Establishing Automated Linkages Between Existing P2-Related Software Design Tools
R825370C077 Integrated Applications of the Clean Process Advisory System to P2-Conscious Process Analysis and Improvement
R825370C078 Development of Environmental Indices for Green Chemical Production and Use