Comparison of the First Order and Modified First-Order Model for Biogas Production from Chicken Manure in Maiduguri, Borno State of Nigeria

International Journal of Scientific Multidisciplinary Research Pub Date : 2023-03-09 DOI:10.55927/ijsmr.v1i2.3320

Abdulhalim Musa Abubakar, Abdulghaffaar Assayyidi Yusuf, Suleiman A. Wali, Aliyu Buba Ngulde

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引用次数: 1

Abstract

Maiduguri in North-Eastern Nigeria can boost of considerable amount of biogas generated from chicken manure (CM) if the organic waste is exploited for such purposes. The objective of this work is to determine the most accurate model for predicting biogas kinetic parameters by analyzing the CM empirical data obtained in Maiduguri. Biogas potential (BP) estimates using NLREG 6.6 software from the First Order and the Modified First-Order models gives BP = 10252217.1g and 83861.2925g respectively. The First Order model is the most correct kinetic model based on a careful assessment of statistical results gotten from both the ORIGIN and NLREG softwares. However, constant parameters estimated from the models, which would have helped significantly in optimizing future biogas production from CM are ambiguous and might be ascribed to errors in the biogas yield measurements or the inability of the selected models to effectively predict the constant parameters

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尼日利亚博尔诺州迈杜古里鸡粪产沼气一阶模型与改进一阶模型的比较

尼日利亚东北部的迈杜古里(Maiduguri)可以利用鸡粪(CM)产生相当数量的沼气，如果这些有机废物被用于这种目的的话。本文的目的是通过分析迈杜古里的CM经验数据，确定最准确的沼气动力学参数预测模型。利用NLREG 6.6软件对一阶模型和修正一阶模型的沼气潜力(BP)进行估算，BP分别为10252217.1g和83861.2925g。基于ORIGIN和NLREG软件统计结果的仔细评估，第一阶模型是最正确的动力学模型。然而，从模型中估计的常数参数是模糊的，这可能是由于沼气产量测量中的误差或所选模型无法有效地预测常数参数，而这些常数参数对优化CM的未来沼气产量有很大帮助

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Scientific Multidisciplinary Research

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