Coupling Computer-Aided Process Simulation and Estimations of Emissions and Land Use for Rapid Life Cycle Inventory...

Area of Science:

• Chemical Engineering
• Environmental Science
• Sustainable Chemistry

Background:

• Life Cycle Assessment (LCA) is crucial for sustainable chemical design.
• Existing Life Cycle Inventory (LCI) databases often lack detailed process-specific data.
• Accurate LCI is essential for reliable LCA and informed regulatory decisions.

Purpose of the Study:

• To develop and validate a methodology for gate-to-gate LCI of chemical manufacturing processes.
• To improve the accuracy of LCI data for inputs, emissions, and land use.
• To support the application of LCA in the design and regulation of sustainable chemicals.

Main Methods:

• Process design and simulation to create process flow diagrams.
• Application of US EPA techniques for estimating uncontrolled emissions.
• Utilizing a simple sizing model for land use estimation.

Main Results:

• The methodology was successfully applied to acetic acid production (Cativa process).
• Qualitative LCI for acetic acid production showed improvements over existing databases.
• Quantitative LCI results for inputs and uncontrolled emissions were enhanced by the modeling techniques.

Conclusions:

• The proposed methodology provides a more detailed and accurate gate-to-gate LCI.
• This method can be used to estimate LCIs for subsequent life cycle assessments.
• It offers improved data for the design and regulation of sustainable chemicals.