Modeling A Renewable Energy System That Relies on Biofuel Production Using Bacteria and Stores it through Chemical Storage Systems

Firas Hussany
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Abstract

The need for bioenergy as a sustainable alternative to fossil fuels is increasing, and the production of biofuels using bacteria is considered one of the prominent methods used in this field. This research aims to model the process of producing biofuels using bacteria and storing them using a chemical storage system. A mathematical model was used to analyse the process, where the chemical constants and optimal environmental conditions for the process were determined. The process variables were identified, including acidity level, increased production coefficient, and the effect of thermal variables on the process. The productivity and efficiency of the process of producing biofuels using bacteria were analysed, and the effect of environmental variables on this process was studied. The produced biofuels were stored in a chemical storage system, where the system was analysed, and the appropriate conditions for safely storing biofuels were determined. The data resulting from the mathematical model and the storage system were analysed and graphed. The research concluded that biofuels can be efficiently produced using bacteria and safely stored using a chemical storage system. The effect of environmental variables was analysed, and the chemical constants used in the mathematical model were optimized, resulting in a significant improvement in the efficiency of the process. The results of this research can be used to improve the process of producing biofuels and develop safer and more efficient storage systems for biofuels.
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利用细菌生产生物燃料并通过化学储存系统进行储存的可再生能源系统建模
生物能源作为化石燃料的可持续替代品的需求正在增加,利用细菌生产生物燃料被认为是该领域使用的主要方法之一。这项研究旨在模拟利用细菌生产生物燃料并利用化学储存系统储存生物燃料的过程。利用数学模型对该工艺进行了分析,确定了该工艺的化学常数和最佳环境条件。确定了工艺变量,包括酸度水平,提高生产系数,以及热变量对工艺的影响。分析了利用细菌生产生物燃料过程的生产率和效率,并研究了环境变量对该过程的影响。生产的生物燃料被储存在化学储存系统中,在那里对该系统进行了分析,并确定了安全储存生物燃料的适当条件。从数学模型和存储系统得到的数据进行了分析和绘图。该研究得出结论,生物燃料可以利用细菌高效生产,并利用化学储存系统安全储存。分析了环境变量的影响,优化了数学模型中使用的化学常数,显著提高了工艺效率。这项研究的结果可用于改进生物燃料的生产过程,并开发更安全、更有效的生物燃料储存系统。
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