厌氧消化1号模型在光发酵制氢过程的应用与优化

任昌鹏; 姜秋实; 刘鑫; 曹稳; 郭烈锦

doi:10.7652/xjtuxb202609010

您当前的位置：

首页 >

文章列表页 >

厌氧消化1号模型在光发酵制氢过程的应用与优化

更新时间：2026-09-04

- 厌氧消化1号模型在光发酵制氢过程的应用与优化
- Application and Optimization of Anaerobic Digestion Model No.1 for Photo-Fermentative Hydrogen Production
- 西安交通大学学报 2026年60卷第9期页码：97-107
- 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：
  
  作者简介：任昌鹏（1997—），男，博士生；
  曹稳（通信作者），男，副研究员，硕士生导师。
- 基金信息：
  
  国家自然科学基金资助项目(52488201)
- DOI：10.7652/xjtuxb202609010
  中图分类号： TQ116.2
- 收稿：2025-11-10，
  
  网络首发：2026-03-18，
  
  纸质出版：2026-09-10
- 稿件说明：
移动端阅览
任昌鹏, 姜秋实, 刘鑫, 等. 厌氧消化1号模型在光发酵制氢过程的应用与优化[J]. 西安交通大学学报,2026,60 (9):97-107. https://doi.org/10.7652/xjtuxb202609010.

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.
任昌鹏, 姜秋实, 刘鑫, 等. 厌氧消化1号模型在光发酵制氢过程的应用与优化[J]. 西安交通大学学报,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.

关键词

Keywords

references

Shahzad S,Alrumayh O,Almutairi A,et al.Green hydrogen：a review of technological innovations,economic viability,and global prospects[J].Renewable and Sustainable Energy Reviews,2026,225：116162.

张明，史家梁.光合细菌光合产氢机理研究进展[J].应用与环境生物学报，1999,5（增刊1）：25-29.

Zhang Ming,Shi Jialiang.Mechanism of hydrogen photoproduction by photosynthetic bacteria[J].Chinese Journal of Applied & Environmental Biology, 1999,5（S1）：25-29.

姜淑敏，汪吉霞，王悦佳，等.光合细菌产氢研究进展[J].现代农业科技，2023（19）：136-142.

Jiang Shumin,Wang Jixia,Wang Yuejia,et al.Research progress on hydrogen production by photosynthetic bacteria[J].Modern Agricultural Science and Technology,2023（19）：136-142.

张凯，王毅，路朝阳，等.光照波长对HAU-M1光合菌群产氢影响的研究[J].太阳能学报，2021 ,42（4）：10-15.

Zhang Kai,Wang Yi,Lu Chaoyang,et al.Study on effect of light wavelength on hydrogen production by HAU-M1 photosynthetic bacteria[J].Acta Energiae Solaris Sinica,2021,42（4）：10-15.

Tiang M F,Hanipa M A F,Abdul P M,et al.Recent advanced biotechnological strategies to enhance photofermentative biohydrogen production by purple nonSulphur bacteria：an overview[J].International Journal of Hydrogen Energy,2020,45（24）：13211-13230.

Hu Jun,Yang Honghui,Wang Xueqing,et al.Strong pH dependence of hydrogen production from glucose by Rhodobacter sphaeroides[J].International Journal of Hydrogen Energy,2020,45（16）：9451-9458.

郝晓地，金铭，曹达啟.厌氧消化数学模拟技术发展历程与应用现状[J].中国给水排水，2016,32（10）：1-10.

Hao Xiaodi,Jin Ming,Cao Daqi.Developing progress and applied situation of modeling techniques for anaerobic digestion[J].China Water & Wastewater, 2016,32（10）：1-10.

荆艳艳，李芳，王毅，等.底物浓度对光合产氢过程动力学的影响[J].河南科学，2020,38（7）：1052-1056.

Jing Yanyan,Li Fang,Wang Yi,et al.Effect of substrate concentration on process kinetics of photo-hydrogen production[J].Henan Science,2020,38（7）：1052-1056.

王毅，张川，荆艳艳，等.光合细菌混合菌群HAUM1产氢动力学实验研究[J].太阳能学报，2016,37（6）：1547-1553.

Wang Yi,Zhang Chuan,Jing Yanyan,et al.Experimental study of hydrogen producing kinetics of photosynthetic bacteria mixed cultureHAU-M1[J].Acta Energiae Solaris Sinica,2016,37（6）：1547-1553.

Yuan Xianzheng,Shi Xiaoshuang,Zhang Peidong,et al.Anaerobic biohydrogen production from wheat stalk by mixed microflora：kinetic model and particle size influence[J].Bioresource Technology,2011,102（19）：9007-9012.

Policastro G,Luongo V,Frunzo L,et al.A mecha nistic mathematical model for photo fermentative hydrogen and polyhydroxybutyrate production[J].Mathematical Biosciences and Engineering, 2023, 20（4）：7407-7428.

Sivaram A,Mehrdadfar A,Euler C,et al.A dynamical model towards continuous single-cell cultivation using photobioreactors[J].Chemical Engineering Science, 2025,306：121202.

左剑恶，凌雪峰，顾夏声.厌氧消化1号模型（ADM1）简介[J].环境科学研究，2003,16（1）：57-61.

Zuo Jiane,Ling Xuefeng,Gu Xiasheng.Biref introduction to anaerobic digestion model No.1（ADM1）[J].Research of Environmental Sciences,2003,16（1）：57-61.

Batstone D J,Keller J,Angelidaki I,et al.The IWA anaerobic digestion model No 1（ADM1）[J].Water Science& Technology,2002,45（10）：65-73.

刘慧敏，王进，张勋，等.基于针铁矿强化乙酸产甲烷过程的ADM1模型修正与模拟研究[J].环境科学研究，2020,33（2）：455-464.

Liu Huimin,Wang Jin,Zhang Xun,et al.Modification and simulation of ADM1 model based on methanogenesis of acetate enhanced by goethite[J].Research of Environmental Sciences,2020,33（2）：455-464.

Song Y C,Kim M,Shon H,et al.Modeling methane production in anaerobic forward osmosis bioreactor using a modified anaerobic digestion model No.1[J].Bioresource Technology,2018,264：211-218.

曾创斌，黄福川.葡萄糖和蔗糖废水厌氧发酵制氢的ADM1模拟[J].当代化工，2025 ,54（3）：705-710.

Zeng Chuangbin,Huang Fuchuan.ADM1 simulation of anaerobic fermentation of glucose and sucrose wastewater for hydrogen production[J].Contemporary Chemical Industry,2025,54（3）：705-710.

白杰，刘和，殷波，等.C/N比调控污泥厌氧发酵产酸的数学模型研究[J].中国环境科学，2015,35（11）：3303-3309.

Bai Jie,Liu He,Yin Bo,et al.Mathematical modeling of the anaerobic fermentation for VFAs production from sludge by C/N ratio regulation[J].China Environmental Science,2015,35（11）：3303-3309.

吴云，张代钧.厨余垃圾厌氧消化产甲烷速率经验模型的修正研究[J].中国环境科学，2011,31（5）：789-794.

Wu Yun,Zhang Daijun.Revision of methane generation rate empirical model in anaerobic digestion of kitchen wastes[J].China Environmental Science, 2011,31（5）：789-794.

Razaviarani V,Buchanan I D.Calibration of the anaerobic digestion model No.1（ADM1）for steady-state anaerobic co-digestion of municipal wastewater sludge with restaurant grease trap waste[J].Chemical Engineering Journal,2015,266：91-99.

Lin Peiying,Wang L M,Wu Yiru,et al.Biological hydrogen production of the genus clostridium：metabolic study and mathematical model simulation[J].International Journal of Hydrogen Energy,2007,32（12）：172835.

Ntaikou I,Gavala H N,Lyberatos G.Application of a modified anaerobic digestion model 1 version for fermentative hydrogen production from sweet sorghum extract by Ruminococcus albus[J].International Journal of Hydrogen Energy,2010,35（8）：3423-3432.

Bulkowska K, BiaŁobrzewski I, Pokój T.Kinetic modeling and optimization of biogas production from maize silage for sustainable energy systems[J].Sustainable Energy Technologies and Assessments,2025, 80：104395.

Huang Liang,Pan Xinrong,Wang Yazhou,et al.Modeling of acetate-type fermentation of sugar-containing wastewater under acidic pH conditions[J].Bioresource Technology,2018,248（Part A）：148-155.

Antonopoulou G,Gavala H N,Skiadas I V,et al.Modeling of fermentative hydrogen production from sweet sorghum extract based on modified ADM1[J].International Journal of Hydrogen Energy, 2012, 37（1）：191-208.

Wang Jianlong,Wan Wei.Kinetic models for fermentative hydrogen production：a review[J].International Journal of Hydrogen Energy,2009,34（8）：3313-3323.

Park J H,Yoon J J,Kumar G,et al.Effects of accli mation and pH on ammonia inhibition for mesophilic methanogenic microflora[J].Waste Management, 2018,80：218-223.

Gado J E,Knotts M, Shaw A Y, et al.Machine learning prediction of enzyme optimum pH[J].Nature Machine Intelligence,2025 ,7（5）：716-729.

Policastro G,Luongo V,Frunzo L,et al.A comprehensive review of mathematical models of photo fermentation[J].Critical Reviews in Biotechnology, 2021 ,41（4）：628-648.

Infantes D,González Del Campo A,Villaseñor J,et al.Kinetic model and study of the influence of pH, temperature and undissociated acids on acidogenic fermentation[J].Biochemical Engineering Journal, 2012,66：66-72.

Nabaterega R,Nazyab B,Eskicioglu C.Modification and calibration of anaerobic digestion model 1 to simulate volatile fatty acids production during fermentation of municipal sludge[J].Biochemical Engineering Journal,2023,194：108886.

Alexandropoulou M,Antonopoulou G,Lyberatos G.A novel approach of modeling continuous dark hydrogen fermentation[J].Bioresource Technology,2018, 250：784-792.

Hassam S,Ficara E,Leva A,et al.A generic and systematic procedure to derive a simplified model from the anaerobic digestion model No.1（ADM1）[J].Biochemical Engineering Journal,2015,99：193-203.

Alexandropoulou M,Antonopoulou G,Lyberatos G.Modeling of continuous dark fermentative hydrogen production in an anaerobic up-flow column bioreactor[J].Chemosphere,2022,293：133527.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

采用级联回归残差校正麻雀搜索算法优化长短期记忆网络的光伏发电功率预测方法

超声波激励下倾斜表面液滴逆重力迁移的润湿特性研究

采用多传感器融合的空间全方位旋转角度测量方法

直接空冷岛侧部百叶窗防冻性能与适用性研究

交流水平电场作用下压缩空气中金属微粒群运动行为与迁移机制研究