在脂质丰富的厨房废物的无氧消化过程中模拟关键中间体,使用扩展的ADM1
1Biofactory Competence Center, Passage du Cardinal 13b, 1700, Fribourg, Switzerland. simon.weber@gmx-topmail.de.
Biodegradation
|March 25, 2024
概括
这项研究使用增强的模拟模型模拟了富含脂质的厨房废物的无氧消化. 该模型准确地预测了关键中间度和天然气产量,而不需要校准数据.
科学领域:
- 环境科学 环境科学
- 生物技术是生物技术.
- 化学工程是化学工程的重要组成部分.
背景情况:
- 无氧消化对于废物管理和生物气生产至关重要.
- 在富含脂质的废物中建模中间动态是复杂的.
- 现有的模型需要广泛的校准才能准确预测.
研究的目的:
- 在脂质丰富的厨房废物无氧消化过程中量化建模关键中间体,气体和碳水化合物.
- 为了增强基准模拟模型No. 2 (BSM2) 提高了预测准确度.
- 在无氧消化模型中开发初始pH估计的简化方法.
主要方法:
- 使用了扩展的BSM2,包含详细的β-氧化,用于酸预测.
- 包括额外的碳水化合物消化中间体和一种新的pH估计方法.
- 使用马尔科夫链蒙特卡洛来进行参数估计和分布分析.
主要成果:
- 增强的BSM2准确地描述了碳水化合物,挥发性有机酸和气体的观察动态.
- 该模型成功预测了中间最大和稳定的酸度的时间.
- 即使没有对厨房废物进行校准数据,也可以实现准确的预测.
结论:
- 开发的模型为预测脂质丰富废物的无氧消化性能提供了强大的工具.
- 增强的BSM2在模拟复杂的生化过程中提供了更高的准确性.
- 简化的pH估计和参数估计方法提高了模型的适用性.
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