About
News and Events
Research and Programs
Featured Initiatives Advanced Alloys Signature Center (AASC) Center for Fuels and Chemicals (CFC) Center for Microwave Chemistry (CMC) Coal for High-Value Products Critical Minerals and Materials Natural Gas Science-based Artificial Intelligence and Machine Learning Institute (SAMI) Subsurface Science Turbine System Optimization
Major Fossil Energy Programs Carbon Management Resource Sustainability
Core Competencies Computational Science and Engineering Energy Conversion Engineering Geological and Environmental Systems Materials Engineering and Manufacturing Strategic Systems Analysis and Engineering Program Execution and Integration
Core Competencies Computational Science and Engineering Energy Conversion Engineering Geological and Environmental Systems Materials Engineering and Manufacturing Strategic Systems Analysis and Engineering Program Execution and Integration
Energy Technology Development Office of Energy Efficiency and Renewable Energy Battery Workforce Initiative Cybersecurity, Energy Security, and Emergency Response Office of Electricity
University Training & Research Historically Black Colleges and Universities and Minority Serving Institutions Program University Carbon Research Program
University Training & Research Historically Black Colleges and Universities and Minority Serving Institutions Program University Carbon Research Program
Business
Library
Explore our Library

Approved Categorical Exclusions Environmental Assessments Environmental Impact Statements Oil and Gas Projects Summaries NETL Fact Sheets NETL Newsletters Publication Search Energy Data Exchange (EDX) FECM External R&D Final Technical Reports Project Landing Page Summary Information for External R&D Awards NETL R&D Publication Search Peer Review Reports
- Research and Programs
- Featured Initiatives
- Core Competencies
- Core Competencies
- Energy Technology Development
- University Training & Research
-
- Business
- Technology Transfer
-
- Library
- Energy Analysis
-
- About
- News and Events
- Education



Computational models can be used to simulate a multiphase device to help understand its performance before the design is finalized thereby reducing cost. Computational models provide valuable information wh
en reactors at the appropriate scale have not been built. Furthermore, it is well known that traditional scale up methods do not work well for multiphase flow reactors. These factors point toward the critical need for science-based models with quantified uncertainty for reducing the cost and time required for the development of multiphase flow devices. NETL’s Multiphase Flow Science (MFS) research program is a strategic combination of computational and physical models of reacting multiphase flows whose purpose is to provide validated science-based modeling tools.