Yu, Hui and Yue, Hong and Halling, Peter (2015) Optimal experimental design for an enzymatic biodiesel production system. In: 9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015, 2015-06-07 - 2015-06-10.
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||optimal experimental design (OED), enzymatic biodiesel reaction system, measurement set selection, optimal sampling strategy, parameter estimation, local sensitivity analysis (LSA), Chemistry, Chemical engineering, Chemical Engineering (miscellaneous), Fuel Technology, Bioengineering|
|Subjects:||Science > Chemistry
Technology > Chemical engineering
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Science > Pure and Applied Chemistry
|Depositing user:||Pure Administrator|
|Date Deposited:||11 Dec 2015 07:25|
|Last modified:||03 Apr 2017 05:18|