The potential of LCA models to assess the carbon intensity of fuel fractions produced after coprocessing biogenic feedstocks at Parkland’s refinery

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel fractions. The work will assess how the biogenic feedstock used (e.g., 5-30%) and varying the hydrogen integration pathway might impact the overall and specific CI of the fuels and maximize gained carbon credit. The work will also assess how the overall CI of refinery operations might be reduced as well as reducing the CI of the final fuels.

Faculty Supervisor:

Jack Saddler

Student:

Partner:

Parkland Burnaby Refinery

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program: