(November Series #2) Syngas Fermentation Optimisation with Mahdi Eskandari
Recording is available on Youtube now:
Mahdi Eskandari will discuss our recent NeurIPS workshop paper on "Multi-fidelity Bayesian Optimisation for Syngas Fermentation Simulators".
Time: Nov 14, 2023 02:00 PM London
Link: https://us06web.zoom.us/j/85619193434
Abstract: A Bayesian optimization approach for maximizing the gas conversion rate in syngas fermentation is presented. We have access to an expensive-to-evaluate, computational fluid dynamic (CFD) reactor model and a cheap ideal-mixing based reactor model. The goal is to maximize the gas conversion rate with respect to the input variables. Due to the high cost of the industrial simulator, a multi-fidelity Bayesian optimization is adopted to solve the optimization problem using both high and low fidelities. We first describe the problem of syngas fermentation followed by our approach to solving simulator optimisation using multiple fidelities. We discuss concerns regarding significant differences in fidelity cost and their impact on fidelity-sampling and conclude with a discussion on the integration of real-world fermentation data.
OptApp link to be found here later December 2023!
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