Convex optimization of bioprocesses

Josh Taylor, Alain Rapaport, Denis Dochain

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


We optimize a general model of bioprocesses, which is nonconvex due to the microbial growth in the biochemical reactors. We formulate a convex relaxation and give conditions guaranteeing its exactness in both the transient and steady state cases. When the growth kinetics are modeled by the Contois or, under constant biomass, Monod or Powell functions, the relaxation is a second-order cone program, which can be solved efficiently at large scales. We implement the model on a numerical example based on a wastewater treatment system.

Original languageEnglish (US)
JournalIEEE Transactions on Automatic Control
StateAccepted/In press - 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


  • Biomass
  • Bioprocess
  • Kinetic theory
  • Media
  • Steady-state
  • Substrates
  • Trajectory
  • Transient analysis
  • compartmental system
  • convex relaxation
  • second-order cone programming
  • wastewater treatment


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