Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass

Pau Cabaneros Lopez, Hannah Feldman, Miguel Mauricio-Iglesias, Helena Junicke, Jakob Kjøbsted Huusom, Krist V. Gernaey*

*Corresponding author for this work

Research output: Contribution to journalReviewResearchpeer-review


The goal of this paper is to review and critically assess different methods to monitor key process variables for ethanol production from lignocellulosic biomass. Because cellulose-based biofuels cannot yet compete with non-cellulosic biofuels, process control and optimization are of importance to lower the production costs. This study reviews different monitoring schemes, to indicate what the added value of real-time monitoring is for process control. Furthermore, a comparison is made on different monitoring techniques to measure the off-gas, the concentrations of dissolved components in the inlet to the process, the concentrations of dissolved components in the reactor, and the biomass concentration. Finally, soft sensor techniques and available models are discussed, to give an overview of modeling techniques that analyze data, with the aim of coupling the soft sensor predictions to the control and optimization of cellulose to ethanol fermentation. The paper ends with a discussion of future needs and developments.

Original languageEnglish
Article number105296
JournalBiomass and Bioenergy
Number of pages14
Publication statusPublished - 2019


  • Cellulosic ethanol
  • Fermentation
  • Models
  • Monitoring devices
  • Real-time monitoring
  • Soft sensors

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