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DPMFA: Dynamic Probabilistic Material Flow Analysis
By TNO Innovation for Life
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About
The Dynamic Probabilistic Material Flow Analysis (DPMFA) can be used to predict release of nanomaterials to the environment based on an analysis of the mass flows during the full life cycle from nanomaterial production over use to final end-of-life treatment of nanoenabled products. Main input requirements are data about production amounts, uses in products and transfer coefficients between all compartments, e.g. release or behavior during EoL. The model then quantifies flows into environmental compartments such as water, air, soil and the subsurface. These flows can then be used as input for environmental fate models. The model can be run stand-alone using a Python code or by using it as part of the SUN decision support system (see the SUNDS tool). A description of the DPMFA can be found here: http://dx.doi.org/10.1016/j.envsoft.2015.11.012
Tool Performance Results
Use example
TRAAC assessment
Recorded training
Domain(s)
Consumer
Environment
Exposure
Worker
Characterization
Toxicological testing
Governance
General Risk Scoping
Data
Safety-by-Design
Sustainability
Cooper Stage-Gate(s)®
Idea
Scoping
Business case
Research & Development
Validation
Launch
Monitoring
Full-Scale
Xpress-Scale
Lite-Scale
Idea
Scoping & Business case
Research & Validation
Launch
Monitoring
Idea
Scoping & Business case
Research, Validation & Launch
Monitoring
Tool details
Free Version:
Yes
Price:
0
Deployment:
Login Credentials:
No
Training:
Support:
Owner details
TNO Innovation for Life
www.tno.nl/en/
Netherlands
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