Process flowsheet optimization of chemicals production from biomass derived glucose solutions

Zhaojia Lin, Jingyao Wang, Vladimiros Nikolakis, Marianthi Ierapetritou

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


A general framework of process flowsheet optimization is presented that is based on the implementation of surrogate-based models to represent the detailed units. The approach is applied on the production of hydroxymethylfufural (HMF), levulic Acid (LA) and formic Acic (FA) from biomass derived glucose solutions. Two production alternatives are considered and compared including reactive extraction and reactive adsorption. It is found that the products produced from reactive extraction are slightly cheaper than that from reactive adsorption while the capital investment of reactive adsorption is much lower than reactive extraction. Reactive extraction is more economical in terms of HMF production. In both cases, the dominant cost is from glucose feedstock and utility consumption. Higher concentration of biomass feedstock, higher reaction temperature and lower residence time is favored to decrease the minimum production cost.

Original languageEnglish (US)
Pages (from-to)258-267
Number of pages10
JournalComputers and Chemical Engineering
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications


  • Biomass
  • Flowsheet optimization
  • Glucose
  • Hydroxymethylfufural
  • Levulic acid
  • Surrogate-based optimization


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