Abstract
Anaerobic digestion model No.1 (ADM1) was applied and expanded in this study to model and simulate anaerobic digestion (AD) of an industrial carbon capture reclaimer MEA (monoethanolamine) waste (MEAw) together with easily degradable organics. The general structure of ADM1 was not changed except for introducing state variables of MEA and complex organics (CO) in the waste and biochemical reactions of MEA uptake and CO hydrolysis in the model ADM1 MEAw. Experimental batch test results were used for calibrating kinetics variables. The obtained kinetics were employed in the ADM1 MEAw to simulate semi-continuously fed experimental test for 486 days at room temperature (22 2 o C). The validation results show that the ADM1 MEAw was able to predict the process performance with reasonable accuracy, including process pH, biogas generation and inorganic nitrogen concentrations, for a wide range of feed scenarios. Free ammonia inhibition, was observed to be the main inhibitory eects on acetoclastic methanogenesis, leading to volatile fatty acids (VFA) accumulation at high loads. Inhibition assumed to be caused by potentially toxic constituents of MEAw appears to be much less important than ammonia, suggesting that such constituents were broken down by AD.
Highlights
The anaerobic digestion model No.1 (ADM1) is a sophisticated model generated by the IWA Task Group for Mathematical Modeling of Anaerobic Digestion Processes (Batstone et al, 2002)
The model Anaerobic digestion model No.1 (ADM1) MEAw was generated based on ADM1 for the simulation of anaerobic degradation of MEA waste with degradable organics at room temperature
The model was based on the assumptions of 1) MEAw COD consisted of 44 % MEA and 56 % complex organics (CO), in which degradable organics and inerts accounted 26 % and 30 %, respectively; 2) MEA and acetate were hydrolysis products of the degradable organics
Summary
The anaerobic digestion model No. (ADM1) is a sophisticated model generated by the IWA Task Group for Mathematical Modeling of Anaerobic Digestion Processes (Batstone et al, 2002). The model includes 26 dynamic state variables, 19 biochemical and 3 gas-liquid transfer kinetic processes. It describes the AD processes of complex particulates through disintegration, hydrolysis, acidogenesis, acetogenesis to methanogenesis (Batstone et al, 2002). The kinetic values of disintegration, hydrolysis and other biochemical processes can vary in a large range, which require specifications for different investigated cases (Batstone et al, 2002). MEAw degradation processes and the observed inhibitory effects associated with MEAw degradation (Wang et al, 2013b) were included in ADM1 MEAw. Newly applied kinetic parameters were calibrated based on batch experimental study. The aim was to assess to what extend the expanded model can simulate and predict the degradation process without applying fundamental changes in the ADM1 parameters. PH, VFA accumulation etc. were simulated to assess the performance of model ADM1 MEAw
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