4.7 Article

Model calibration and validation for OFMSW and sewage sludge co-digestion reactors

期刊

WASTE MANAGEMENT
卷 31, 期 12, 页码 2527-2535

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.wasman.2011.07.024

关键词

Anaerobic; Co-digestion; Hydrolysis; Mathematical modeling; Calibration; Validation

资金

  1. Italian Ministry of the Research and the University

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A mathematical model has recently been proposed by the authors to simulate the biochemical processes that prevail in a co-digestion reactor fed with sewage sludge and the organic fraction of municipal solid waste. This model is based on the Anaerobic Digestion Model no. 1 of the International Water Association, which has been extended to include the co-digestion processes, using surface-based kinetics to model the organic waste disintegration and conversion to carbohydrates, proteins and lipids. When organic waste solids are present in the reactor influent, the disintegration process is the rate-limiting step of the overall co-digestion process. The main advantage of the proposed modeling approach is that the kinetic constant of such a process does not depend on the waste particle size distribution (PSD) and rather depends only on the nature and composition of the waste particles. The model calibration aimed to assess the kinetic constant of the disintegration process can therefore be conducted using organic waste samples of any PSD, and the resulting value will be suitable for all the organic wastes of the same nature as the investigated samples, independently of their PSD. This assumption was proven in this study by biomethane potential experiments that were conducted on organic waste samples with different particle sizes. The results of these experiments were used to calibrate and validate the mathematical model, resulting in a good agreement between the simulated and observed data for any investigated particle size of the solid waste. This study confirms the strength of the proposed model and calibration procedure, which can thus be used to assess the treatment efficiency and predict the methane production of full-scale digesters. (C) 2011 Elsevier Ltd. All rights reserved.

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