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用于预测厌氧条件下沼气产量的系统动力学动力学模型:初步评估。

System dynamics kinetic model for predicting biogas production in anaerobic condition: Preliminary assessment.

机构信息

Centre for Energy Research and Development, 54715Obafemi Awolowo University, Nigeria.

Department of Chemical Engineering, 54715Obafemi Awolowo University, Nigeria.

出版信息

Sci Prog. 2021 Oct;104(4):368504211042479. doi: 10.1177/00368504211042479.

Abstract

INTRODUCTION

This preliminary assessment of a grey-box model, was predicated on system dynamics principles and developed using Vensim DSS software. The purpose is to predict biogas production under anaerobic conditions for energy utilization at the design stage.

OBJECTIVE

To describe the process of a developed system dynamics model to predict biogas production under anaerobic conditions.

METHODS

This method involves two-stage kinetics of the biogas production process in anaerobic conditions using the first-order and Gompertz functions. The model is depicted in two parts: causal loop diagram and stock-flow diagram. The causal loop diagram describes the anaerobic digestion process a substrate undergoes for the production of biogas, while stock-flow diagram depicts basic building blocks of the dynamic behavior of an anaerobic digestion process. Primary data is from a laboratory-scale experiment of biogas production using vegetal wastes, while the secondary one is from the literature on studies using similar substrates.

RESULTS

Primary and secondary data are used to validate and stimulate the developed model. The kinetic model shows the substrate being reduced exponentially with increasing time; consumption of substrate and production of methane and carbon dioxide follows exponential growth and decay pattern, with carbon dioxide production starting early compared to methane, and was produced at a rate faster due to the strong and resilient characteristics of fermentative microorganisms.

DISCUSSION

Comparing data from empirical and model simulation shows some close relationship, though not too perfectly. Both results reflect signs of inhibitions occurring within the substrates in the digester under anaerobic conditions explaining the low methane yield or instability.

摘要

简介

本灰色模型初步评估是基于系统动力学原理,并使用 Vensim DSS 软件开发的。目的是在设计阶段预测厌氧条件下的生物气产量,以实现能源利用。

目的

描述开发的系统动力学模型预测厌氧条件下生物气产量的过程。

方法

该方法使用一阶和 Gompertz 函数对厌氧条件下的生物气产生过程的两阶段动力学进行描述。模型分为两部分:因果关系图和存量流量图。因果关系图描述了基质在厌氧消化过程中产生生物气的过程,而存量流量图则描绘了厌氧消化过程动态行为的基本组成部分。主要数据来自使用植物废物进行生物气生产的实验室规模实验,而次要数据则来自使用类似基质的研究文献。

结果

使用主要和次要数据来验证和模拟开发的模型。动力学模型显示基质随时间呈指数减少;基质的消耗和甲烷和二氧化碳的产生遵循指数增长和衰减模式,二氧化碳的产生比甲烷早,由于发酵微生物的强大和弹性特征,其产生速度更快。

讨论

比较经验数据和模型模拟结果显示出一定的相关性,但并非非常完美。两个结果都反映出厌氧条件下消化器中底物存在抑制的迹象,这解释了甲烷产量低或不稳定的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/019e/10450725/ff9f6589efc3/10.1177_00368504211042479-fig10.jpg

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