Optimal experimental design for an enzymatic biodiesel production system

Yu, Hui and Yue, Hong and Halling, Peter (2015) Optimal experimental design for an enzymatic biodiesel production system. IFAC-PapersOnLine. 1259 – 1264. ISSN 1474-6670 (https://doi.org/10.1016/j.ifacol.2015.09.141)

[thumbnail of Yu-etal-ADCHEM2015-optimal-experimental-design-enzymatic-biodiesel-production-system]
Text. Filename: Yu_etal_ADCHEM2015_optimal_experimental_design_enzymatic_biodiesel_production_system.pdf
Accepted Author Manuscript

Download (410kB)| Preview


Two optimal experimental design (OED) problems for an enzymatic biodiesel production system are investigated to improve parameter estimation quality. An orthogonalized sensitivity analysis method is firstly implemented to select important parameters. Next the design of measurement set and sampling strategy is developed in the form of two convex optimization problems which are solved by the interior-point algorithm and the Powell’s method, respectively. Simulation results demonstrate the function of OED in reducing parameter estimation errors. The biodiesel concentration is identified to be the most valuable state variable observation, and the parameter estimation accuracy can be improved through optimal sampling design.


Yu, Hui ORCID logoORCID: https://orcid.org/0000-0003-4847-4785, Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223 and Halling, Peter ORCID logoORCID: https://orcid.org/0000-0001-5077-4088;