Modeling the anaerobic digestion of cane-molasses vinasse: Extension of the Anaerobic Digestion Model No. 1 (ADM1) with sulfate reduction for a very high strength and sulfate rich wastewater.

Research output: Contribution to journalArticle

Abstract

This research presents the modeling of the anaerobic digestion of cane-molasses vinasse, hereby extending the Anaerobic Digestion Model No. 1 with sulfate reduction for a very high strength and sulfate rich wastewater. Based on a sensitivity analysis, four parameters of the original ADM1 and all sulfate reduction parameters were calibrated. Although some deviations were observed between model predictions and experimental values, it was shown that sulfates, total aqueous sulfide, free sulfides, methane, carbon dioxide and sulfide in the gas phase, gas flow, propionic and acetic acids, chemical oxygen demand (COD), and pH were accurately predicted during model validation. The model showed high (±10%) to medium (10%-30%) accuracy predictions with a mean absolute relative error ranging from 1% to 26%, and was able to predict failure of methanogenesis and sulfidogenesis when the sulfate loading rate increased. Therefore, the kinetic parameters and the model structure proposed in this work can be considered as valid for the sulfate reduction process in the anaerobic digestion of cane-molasses vinasse when sulfate and organic loading rates range from 0.36 to 1.57 kg [Formula: see text] m(-3) d(-1) and from 7.66 to 12 kg COD m(-3) d(-1), respectively.

Details

Authors
  • Ernesto L Barrera
  • Henri Spanjers
  • Kimberly Solon
  • Youri Amerlinck
  • Ingmar Nopens
  • Jo Dewulf
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Mathematical modeling, Simulation, Sulfate reduction, Vinasse
Original languageEnglish
Pages (from-to)42-54
JournalWater Research
Volume71
Publication statusPublished - 2015
Publication categoryResearch
Peer-reviewedYes

Related research output

Kimberly Solon, 2017 Apr 24, Lund, Sweden: Division of Industrial Electrical Engineering and Automation, Faculty of Engineering, Lund University. 238 p.

Research output: ThesisDoctoral Thesis (compilation)

View all (1)