在无氧批量生物反应器中基于微量金属剂量的数学模型优化
Tina Kegl1, Balasubramanian Paramasivan2, Bikash Chandra Maharaj2
1Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor, Slovenia.
Bioengineering (Basel, Switzerland)
|February 26, 2025
概括
优化无氧消化 (AD) 需要精确的建模. 这项研究用微量金属增强了AD模型,提高了沼气和甲产量,同时减少了H2S和NH3等杂质.
科学领域:
- 生物技术是生物技术.
- 环境工程 环境工程
- 化学工程是化学工程的重要组成部分.
背景情况:
- 无氧消化 (AD) 是一种关键的废物转化能源技术,但其复杂性需要精确的建模以进行优化.
- 现有的AD模型往往涉及许多参数,这给校准带来了挑战.
- 微量金属在AD的生化和物理化学过程中起着至关重要的作用.
研究的目的:
- 开发和验证一个增强的AD模型,包括微量金属的影响.
- 调查微金属活动对AD过程模拟和优化的影响.
- 为了确定最佳的微量金属度,以改善生物气生产.
主要方法:
- 增强生物模型以包括微量金属活动 (Ca,K,Mg,Na,Co,Cr,Cu,Fe,Ni,Pb,Zn).
- 在模型校准中包括跟踪金属相关的参数.
- 对一批生物反应器的实验数据进行数值模拟和验证.
- 灵敏度分析,以评估参数扰动的影响.
主要成果:
- 模型验证证实了可靠性,5%的参数扰动增加了模拟实验差异的三倍.
- 优化微量金属度显著提高了生物气和甲 (CH4) 产量,分别增加了5.4%和13.5%.
- 在最佳条件下,H2,H2S和NH3的含量分别减少了28.2%,43.6%和42.5%.
结论:
- 增强的生物模型准确模拟AD过程,突出显示微量金属的关键作用.
- 精确优化微量金属添加剂对于最大限度地提高生物气的数量和质量至关重要.
- 这种方法为通过AD.提供了一条更高效和有效的废物转化为能源的途径.
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