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基于Aspen Plus模拟的厌氧消化过程影响因素分析

Simulation and Analysis of Anaerobic Digestion Process Based on the Aspen Plus
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摘要 优化碳水化合物、纤维素、蛋白质和油脂等有机组分含量及其比例,对于提高厌氧消化中甲烷产量和体积占比至关重要。该文通过Aspen Plus建立过程仿真模型模拟有机组分变化对产气中CH4产量及体积占比的影响,获取最优发酵底物参数。结果表明:单因素模拟时,碳水化合物和油脂比例降低、纤维素和蛋白质比例增高时,甲烷产量增高。碳水化合物和油脂比例降低、纤维素和蛋白质比例增高时,甲烷体积占比增高。多因素模拟时,组分对甲烷产量影响分析中,碳水化合物、蛋白质和油脂的影响权重均大于纤维素,模拟结果为多源有机固废协同厌氧消化设计提供科学依据。此外,SWOT分析表明,优化协同厌氧消化中的有机组分,有助于有机物转化为清洁可再生能源,从而实现碳减排。 Optimization of the organic compositions including carbohydrates,cellulose,proteins and fats was essential to improve the methane production and volume share in anaerobic digestion.In this study,a process simulation model was developed by Aspen Plus to simulate the effect of organic component changes on the CH4 yield and volume ratio.The results showed that methane production increased when the proportion of carbohydrate and oil decreased and the proportion of cellulose and protein increased in the single factor simulation.The volume share of methane increased when the proportion of carbohydrate and fat decreased and the proportion of cellulose and protein increased.In the multi-factor simulation,the influence of carbohydrate,protein and fat on methane production was greater than that of cellulose,which provided a scientific basis for the design of multi-source anaerobic digestion.Moreover,SWOT analysis indicated that the optimization of multi-source organic solid waste co-anaerobic digestion could help to convert organic matter into clean and renewable energy and thus achieve carbon reduction.
作者 李昭君 赵由才 周涛 LI Zhaojun;ZHAO Youcai;ZHOU Tao(State Key Laboratory of Pollution Control and Resource Reuse,School of Environmental Science and Engineering,Tongji University,Shanghai 200092,China)
出处 《环境科学与技术》 CAS CSCD 北大核心 2021年第11期132-137,共6页 Environmental Science & Technology
基金 国家重点研发计划:长江经济带大中城市多源有机固废园区化协同处置及示范(2019YFC1904001) 国家自然基金面上项目:餐厨垃圾自适应化学催化氧化靶点攻击转化为低分子量有机酸盐的机制研究(51878470)。
关键词 厌氧消化 Aspen Plus 过程模拟 协同处置 SWOT分析 anaerobic digestion Aspen Plus process simulation co-processing SWOT analysis
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