Predictive Tool for Ultrafiltration PerformanceEPA Grant Number: R825370C054
Subproject: 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 , Michigan Technological University
Current Institution: University of Minnesota
EPA Project Officer: Karn, Barbara
RFA: Exploratory Environmental Research Centers (1992) RFA Text | Recipients Lists
Research Category: Center for Clean Industrial and Treatment Technologies (CenCITT) , Targeted Research
To create a computer model to help design engineers predict membrane performance using global and empirical models.
Currently, we are analyzing existing software and articles that relate to aspects of membrane performance to determine how we might incorporate them into a structured tool. The tool will use empirical relationships extracted from existing data bases and different models as sub-programs and to provide information on expected membrane performance. In addition, the tool will provide feedback on data needs and the recommended approach for data collection.
Membrane separation processes are becoming increasingly popular in a variety of industrial applications since they can be used to separate products for reuse or recovery. However, the performance of the process is difficult to predict apriori since many factors including membrane type, water quality and operating conditions influence process behavior. As a result engineers rely on the recommendations of manufacturers or experimental studies to design a process application.
The intent of this project is to develop a tool that will assist design engineers in selecting a membrane and the best operating conditions for a particular application. It is hoped that the model will improve the design process by providing the engineer with preliminary estimates of membrane performance and recommendations for experimental testing to refine the design.
Publications and Presentations:Publications have been submitted on this subproject: View all 1 publications for this subproject | View all 157 publications for this center
Supplemental Keywords:RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Sustainable Industry/Business, cleaner production/pollution prevention, Sustainable Environment, Chemistry, Technology for Sustainable Environment, computing technology, New/Innovative technologies, Chemistry and Materials Science, Engineering, ultrafiltration UF, recovery, membranes, carbon black, modeling, membrane modules, membrane process, reuse, pollution prevention, separation selectivities, membrane technology
Progress and Final Reports:1998 Progress Report
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