Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production

REN Changpeng; JIANG Qiushi; LIU Xin; CAO Wen; GUO Liejin

doi:10.7652/xjtuxb202609010

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Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production

更新时间：2026-09-04

- Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production
- Journal of Xi'an Jiaotong University Vol. 60, Issue 9, Pages: 97-107(2026)
- 作者机构：
  
  西安交通大学绿色氢电全国重点实验室，710049，西安
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202609010
  CLC： TQ116.2
- Received：10 November 2025，
  
  Online First：18 March 2026，
  
  Published：10 September 2026
- 稿件说明：
移动端阅览
REN Changpeng, JIANG Qiushi, LIU Xin, et al. Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production[J]. Journal of Xi'an Jiaotong University,2026,60 (9):97-107. https://doi.org/10.7652/xjtuxb202609010.
DOI：

REN Changpeng, JIANG Qiushi, LIU Xin, et al. Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production[J]. Journal of Xi'an Jiaotong University,2026,60 (9):97-107. https://doi.org/10.7652/xjtuxb202609010. DOI：

摘要

为了系统阐明光发酵制氢过程中各主要代谢路径的动力学特征，建立并优化了一种基于厌氧消化1号模型（ADM1）的光发酵制氢模型，以葡萄糖为标准底物进行描述与分析。首先，模型以物质守恒为基础，将底物按照一定比例分配给细胞生长、产物合成和细胞代谢消耗3个途径，考虑了光发酵制氢过程中发生的12个关键代谢反应与生物过程，保持化学计量比不变，通过调整反应速率反映不同代谢路径的变化。然后，优化了模型，将乳酸和乙醇纳入中间代谢产物中，引入pH与光照强度对底物转化、生物量积累及产氢性能的影响，并考虑了pH对于碳代谢流影响。最后，基于微生物糖酵解的反应顺序，采用“两步法”快速确定动力学参数，并在不同初始浓度葡萄糖的光发酵实验数据进行了参数校准与验证。结果表明：改进后的光发酵制氢动力学模型成功提高了预测的准确性，在预测不同浓度葡萄糖运行条件下氢气生产、光合细菌生长、有机酸的生产以及光照强度和pH的变化时，拟合系数均超过0.96；利用模型结合曲面响应法，快速确定了光发酵最佳的初始pH为8，最佳的光照强度为5000 lx。该研究可为制氢反应器开发与制氢过程控制提供理论依据与建模方法支持。

Abstract

To systematically elucidate the kinetic characteristics of the major metabolic pathways involved in photo-fermentative hydrogen production

a photo-fermentative hydrogen production model based on anaerobic digestion model No.1（ADM1）is established and optimized

with glucose used as the standard substrate for description and analysis.First

based on mass conservation

the substrate is allocated proportionally to three pathways：cell growth

product synthesis

and cellular metabolic consumption.Twelve key metabolic reactions and biological processes occurring during photo-fermentative hydrogen production are incorporated into the model.The stoichiometric ratios are kept constant

and changes in different metabolic pathways are reflected by adjusting the reaction rates.The model is then optimized by including lactate and ethanol as intermediate metabolites.The effects of pH and light intensity on substrate conversion

biomass accumulation

and hydrogen production performance are incorporated

and the influence of pH on carbon metabolic flux is considered.Finally

based on the sequence of microbial glycolysis reactions

kinetic parameters are rapidly determined using a two-step method

and the model is calibrated and validated using experimental data from photo-fermentation experiments with different initial glucose concentrations.The results show that improved prediction accuracy is achieved by the modified kinetic model for photo-fermentative hydrogen production.When hydrogen production

photosynthetic bacterial growth

organic acid production

and changes in light intensity and pH under different glucose concentrations are predicted

fitting coefficients above 0.96 are obtained.By combining the model with response surface methodology

the optimal initial pH and light intensity for photo-fermentation are rapidly determined to be 8 and 5000 lx

respectively.A theoretical basis and modeling support for the development of hydrogen production reactors and the control of hydrogen production processes are provided by this study.

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