Performance optimization and validation of ADM1 simulations under anaerobic thermophilic conditions

Nabil M. Atallah, Mutasem E. El-Fadel, Sophia A. Ghanimeh, Pascal Saikaly, Majdi R. Abou Najm

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In this study, two experimental sets of data each involving two thermophilic anaerobic digesters treating food waste, were simulated using the Anaerobic Digestion Model No. 1 (ADM1). A sensitivity analysis was conducted, using both data sets of one digester, for parameter optimization based on five measured performance indicators: methane generation, pH, acetate, total COD, ammonia, and an equally weighted combination of the five indicators. The simulation results revealed that while optimization with respect to methane alone, a commonly adopted approach, succeeded in simulating methane experimental results, it predicted other intermediary outputs less accurately. On the other hand, the multi-objective optimization has the advantage of providing better results than methane optimization despite not capturing the intermediary output. The results from the parameter optimization were validated upon their independent application on the data sets of the second digester.
Original languageEnglish (US)
Pages (from-to)243-255
Number of pages13
JournalBioresource Technology
Volume174
DOIs
StatePublished - Dec 2014

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Waste Management and Disposal

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