| Related citation: | Yujing Guan,Yange Yu,Zhiqiang Hou,Fangze Shang,Guangli Cao,Ping Yang.Modeling of Biomethane Production from Multiple Organic Wastes based on Modified ADM1[J].Journal of Harbin Institute Of Technology(New Series),2025,32(2):1-13.DOI:10.11916/j.issn.1005-9113.24050. |
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| Author Name | Affiliation | | Yujing Guan | National Local Joint Engineering Research Center for Biomass Energy Development and Utilization, School of Environment, Harbin Institute of Technology,Harbin 150090, China | | Yange Yu | Power China Eco-Environment Group Co., Ltd., Shenzhen 518101,China | | Zhiqiang Hou | Power China Eco-Environment Group Co., Ltd., Shenzhen 518101,China | | Fangze Shang | Power China Eco-Environment Group Co., Ltd., Shenzhen 518101,China | | Guangli Cao | National Local Joint Engineering Research Center for Biomass Energy Development and Utilization, School of Environment, Harbin Institute of Technology,Harbin 150090, China | | Ping Yang | Power China Eco-Environment Group Co., Ltd., Shenzhen 518101,China |
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| Abstract: |
| The Anaerobic Digestion Model No. 1 (ADM1) has been modified to include enhanced kinetic parameters, which more precisely simulate methane production during the anaerobic digestion of diverse organic solid wastes. Calibration and validation of the model were achieved using experimental data from batch fermentation processes. Simulations of the updated ADM1 were conducted using AQUASIM 2.0 software. Sensitivity analysis helped identify and assess the most critical kinetic parameters affecting biogas production. Key parameters such as the microorganism decay constant (d-1), disintegration rate constant (d-1), Monod maximum specific substrate uptake rate (gCOD/gVSS·d), and half-saturation constants were found to significantly influence biogas yield. The optimal values for these parameters were identified as 0.03, 6.07, 3.64, and 0.27, respectively. These optimized values were validated through batch experiments. The modified ADM1 successfully predicted methane production, achieving R2 values greater than 0.8 in all validation trials.Key methanogens, Methanosarcina and Methanosaeta, were identified, and their enrichment during mixed fermentation of various organic solid wastes indicated enhanced methane production via aceticlastic methanogenesis. The microbial characterization and simulations using the modified ADM1 model supported each other. |
| Key words: ADM1 anaerobic digestion Methane multiple substrates microbial communities |
| DOI：10.11916/j.issn.1005-9113.24050 |
| Clc Number:X70 |
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| Descriptions in Chinese: |
| 基于改性ADM1的多种有机废弃物生物甲烷生产建模 管玉净1，余艳鸽2，胡志强2，商放泽2，曹广丽1，杨平2 （1.哈尔滨工业大学 生物能源开发利用国家地方联合工程研究中心 哈尔滨 150001； 2.中国电建生态环境集团有限公司#$TAB深圳 518101） 中文说明：厌氧消化模型 1(ADM1)经过修改包括增强的动力学参数，这些参数可以更精确地模拟各种有机固体废物厌氧消化过程中的甲烷的产生。使用来自批量发酵过程的实验数据实现模型的校准和验证，并采用 AQUASIM 1 软件对更新的 ADM2.0 进行模拟。本文使用有助于识别和评估影响沼气生产的最关键动力学参数的敏感性分析发现微生物衰变常数 （d-1）、崩解速率常数 （d-1）、碳水化合物水解速率常数 （d-1）、Monod 最大比底物吸收率 （g COD/g VSS.d） 和半饱和常数等关键参数对沼气产量有显著影响，且参数的最佳值分别为 0.03，6.07， 3.64 和 0.27。最后通过批量实验对优化值进行验证，结果显示，修改后的 ADM1 成功预测了甲烷的产生，且在所有验证试验中都实现了大于 0.8 的 R2 值。确定了关键的产甲烷菌 Methanosarcina 和 Methanosaeta，它们在各种有机固体废物混合发酵过程中的富集表明，通过乙酰碎裂性甲烷生成增强了甲烷的产生。使用改进的 ADM1 模型的微生物表征和模拟相互支持。关键词：厌氧消化模型1（ADM1）；厌氧消化；甲烷；多元物料；微生物群落 |
