Kinetic modelling and simulation of anaerobic digestion of fibrous waste materials and slaughterhouse waste

IF 4.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Array Pub Date : 2025-09-20 DOI:10.1016/j.array.2025.100521
Joseph Yankyera Kusi , Ralf Müller , Florian Empl , Stefan Pelz , Nana Sarfo Agyemang Derkyi , Francis Attiogbe
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Abstract

Background

Anaerobic digestion is a biochemical energy conversion pathway that involves a series of biochemical reactions facilitated by bacteria, leading to the breakdown of organic material into a mixture of gases in the absence of free oxygen. The necessity for modelling the kinetics of the AD of different feedstock, different pretreated feedstock, and comparing them is to establish the most appropriate model that describes a prevailing context. This study as a result, sought to comparatively model and simulate the kinetics of the AD of agricultural residue (slaughterhouse waste, fibrous waste materials and pretreated fibrous wase material mixtures).

Method

To ascertain the practicality of different kinetic models for different feedstock, model selection capabilities, parameter prediction strength of models, and optimisation of AD systems, four distinct kinetic models have been employed. The study also propounded hybrid models from these and applied same. It considers the same selected models for feedstock from two extremes: plant residue and animal residues, however digested with the same technology. Thus, the finding serves as a good benchmark for comparative kinetic modelling.

Results

Throughout both the modelling and validation phases, the estimated correlation coefficient (R2) values consistently exceeded 0.9000, signifying a robust correlation between the experimental data and the model parameters. All models exhibited competence in simulating the anaerobic digestion (AD) of the agricultural residues under investigation.

Conclusion

The utilization of kinetic models for the simulation and modelling of agricultural residues is thus demonstrated to be effective, as the hybrid models as well demonstrate superior performance and offer better kinetic parameter description.

Abstract Image

纤维废物和屠宰场废物厌氧消化的动力学建模和模拟
好氧消化是一种生物化学能量转化途径,涉及一系列由细菌促进的生化反应,导致有机物质在缺乏自由氧的情况下分解成混合气体。对不同原料、不同预处理原料的AD动力学进行建模,并对它们进行比较,是为了建立最合适的模型,以描述当前的环境。因此,本研究试图对农业残渣(屠宰场废物、纤维废物和预处理纤维废物混合物)的AD动力学进行比较建模和模拟。方法采用了四种不同的动力学模型,以确定不同的动力学模型对不同原料的实用性、模型的选择能力、模型的参数预测强度以及AD系统的优化。在此基础上提出了混合模型,并进行了应用。它考虑了来自两个极端的原料的相同选择模型:植物残渣和动物残渣,但用相同的技术消化。因此,这一发现为比较动力学建模提供了一个很好的基准。结果在整个建模和验证阶段,估计的相关系数(R2)值始终超过0.9000,表明实验数据与模型参数之间存在鲁棒性相关。所有模型都显示出模拟农业废弃物厌氧消化(AD)的能力。结论利用动力学模型对农业残留物进行模拟和建模是有效的,混合模型具有更好的性能和更好的动力学参数描述。
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来源期刊
Array
Array Computer Science-General Computer Science
CiteScore
4.40
自引率
0.00%
发文量
93
审稿时长
45 days
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