Techno-economic analysis
Process models with CAPEX and OPEX, built to give a minimum fuel selling price. Sensitivity and scenario analysis show which parameters matter most.
Typical deliverables: Cost model, tornado chart, R&D targets.
Consortium partnering
Partner with PySAF on your next SAF consortium
PySAF develops SAF and bio-intermediates from biomass fast pyrolysis oil. We bring techno-economic, life-cycle, digital twin and AI capability to funded consortia.
Discuss your proposalUK-based SME
Fast pyrolysis and biocrude upgrading focus
21 years of TEA and LCA experience
Capability
What we bring to a consortium
Life-cycle assessment
ISO 14040/44 studies aligned to RED III, ReFuelEU, the UK SAF mandate and CORSIA. Run from the same mass and energy balance as the TEA.
Typical deliverables: gCO2e/MJ result, hotspot breakdown, allocation sensitivity.
Digital twinIn development
Process digital twins for fast pyrolysis and biocrude upgrading. Built to support scale-up and optimisation.
Typical deliverables: Model scope note, validation plan.
AI and machine learningIn development
Data-driven models to support yield prediction and process optimisation. Scoped around the data the consortium can share.
Typical deliverables: Data requirements, model and validation plan.
Ways of working
How we work with consortia
Roles we take
- Work package lead for TEA and LCA
- Task contributor
- Modelling and data partner
At proposal stage
- Work package design
- Impact and exploitation input
We agree data-sharing and IP terms in the consortium agreement before project data is shared.
Funding programmes
Programmes we support
- Horizon Europe
- Innovate UK
- UKRI
- SAF
- Bio-based fuels and chemicals
- Industrial decarbonisation
FAQ
Common questions
Yes. We can lead work packages on techno-economic analysis and life-cycle assessment, or contribute tasks to others.
Yes. We can sign an NDA before detailed discussions and provide a letter of intent or support for a proposal where appropriate.
The call, the deadline, a draft consortium and work package outline, and the role you see for PySAF. Process data can follow once terms are agreed.
As early as possible, ideally before work packages are fixed.
Enquiry