Optimal experimental design for an enzymatic biodiesel production system

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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.
Original languageEnglish
Pages (from-to)1259 – 1264
Number of pages6
Publication statusPublished - 7 Jun 2015
Event9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015 - Whistler, British Columbia, Canada
Duration: 7 Jun 201510 Jun 2015


  • optimal experimental design (OED)
  • enzymatic biodiesel reaction system
  • measurement set selection
  • optimal sampling strategy
  • parameter estimation
  • local sensitivity analysis (LSA)


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