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采用 ADM1 方法对大型厌氧反应器进行性能优化和沼气 HS 预测,该反应器以甘蔗废醪液为进料。

ADM1 approach to the performance optimisation and biogas HS prediction of a large-scale anaerobic reactor fed on sugarcane vinasse.

机构信息

Energy Systems Planning Program, Faculty of Mechanical Engineering, University of Campinas, Av. Julio de Mesquita, 249/131, Campinas, Sāo Paulo, Brazil E-mail:

Department of Civil, Environmental & Geomatic Engineering, Centre for Resource Efficiency & the Environment (CREE), University College London, Chadwick Building, Gower Street, London WC1E 6BT, United Kingdom.

出版信息

Water Sci Technol. 2019 Nov;80(9):1774-1786. doi: 10.2166/wst.2019.434.

DOI:10.2166/wst.2019.434
PMID:32039909
Abstract

In this paper, we present extensions to the Anaerobic Digestion Model No. 1 (ADM1) to simulate hydrogen sulphide in biogas and solids retention efficiency. The extended model was calibrated and validated against data from a large-scale covered in-ground anaerobic reactor (CIGAR), processing sugarcane vinasse. Comparative scenarios and set-ups of a CIGAR with and without a settling tank unit (settler) were simulated to investigate the reactor's performance. Biogas flow, methane content, and yield with settler were 15,983 Nm/d, 57%, and 0.198 NmCH/kgCOD, respectively, which were 9.4%, 1.8%, and 11.64%, higher than without the settler. Improvements are combination of influent flow rate 116% higher and increased solids retention time by using a settler. The optimised modelled reactor, the volume of which was reduced by 50%, was able to produce 83% more methane per volume of reactor with half the retention time. After model calibration and validation, we assessed the quality of predictions and its utility. The overall quality of predictions was assessed as high accuracy quantitative for CH and medium for HS and biogas flow. A practical demonstration of ADM1 to industrial application is presented here to identify the potential optimisation and behaviour of a large-scale anaerobic reactor, reducing, consequently, expenditure, risk, and time.

摘要

本文对 Anaerobic Digestion Model No.1(ADM1)进行了扩展,以模拟沼气中的硫化氢和固体停留效率。该扩展模型是针对一个大型地下覆盖式厌氧反应器(CIGAR)处理甘蔗废醪的数据进行校准和验证的。模拟了带有和不带有沉降罐单元(沉降器)的 CIGAR 的对比场景和设置,以研究反应器的性能。带有沉降器的沼气流量、甲烷含量和产率分别为 15983 Nm/d、57%和 0.198 NmCH/kgCOD,分别比没有沉降器时高 9.4%、1.8%和 11.64%。改进是由于使用沉降器使进水流量增加了 116%,同时增加了固体停留时间。经过模型校准和验证,我们评估了预测的质量及其用途。CH 的预测总体质量被评估为高精度定量,HS 和沼气流量的预测质量为中精度。本文展示了 ADM1 在工业应用中的实际应用,以确定大型厌氧反应器的潜在优化和行为,从而降低成本、风险和时间。

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ADM1 approach to the performance optimisation and biogas HS prediction of a large-scale anaerobic reactor fed on sugarcane vinasse.采用 ADM1 方法对大型厌氧反应器进行性能优化和沼气 HS 预测,该反应器以甘蔗废醪液为进料。
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