RT Dissertation/Thesis
T1 Early-Stage Biorefinery Design and Development Through a Multi-Scale Approach
A1 Hauwaert, Lucas van der
K1 Early-stage biorefinery Design
K1 Kinetic modeling
K1 Superstructure modeling
K1 Multi-objective optimization
K1 Stochastic optimization
AB Biorefineries promise to replace linear and fossil-based production by leveraging renewable resources. Yet their complexity arises from technical uncertainties, economic constraints, and a variety of process options. This thesis introduces a multi-scale methodology for early-stage biorefinery design based on superstructure optimization with the OUTDOOR framework. By integrating genome-scale metabolic models into superstructure optimization, the method identifies promising microbial and substrate combinations under data-scarce conditions. Reactor-scale optimization, tested on a co-culture for propionate production, addresses trade-offs between yield and productivity and accounts for stochastic uncertainties. At the process scale, the approach manages variable feedstock compositions, fluctuating market prices, and emerging technologies.
YR 2025
FD 2025
LK https://hdl.handle.net/10347/42938
UL https://hdl.handle.net/10347/42938
LA eng
DS Minerva
RD 24 abr 2026