生物乙醇发酵罐中发酵反应的计算流体力学模型:综述

Ali Satria Wijaya, Novia Novia, Fitri Hadiah
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引用次数: 0

摘要

生物乙醇是一种可替代化石燃料的可再生能源。生物乙醇在经济性和对环境影响方面的优势使其被选为生物燃料。生物乙醇可在微生物(即酵母)的帮助下,通过发酵过程从各种生物质中生产出来。在生产过程中,温度、浓度、pH 值、发酵时间和搅拌速度等因素都会影响发酵过程。计算流体动力学(CFD)软件包可用于观察发酵罐中的程序。CFD 模拟流体运动、能量传输、化学反应和其他现象,目的是阐明它们对生物乙醇生产整体效果的影响。在本期刊中,我们利用 CFD 模型对发酵过程进行了回顾,以研究生物乙醇生产过程中的参数和现象。分析从研究生物乙醇生产过程开始,强调了发酵在将可再生资源转化为生物乙醇过程中的关键作用。随后,报告深入探讨了 CFD 的基本原理,以及如何将这些原理融入生物乙醇发酵罐的建模中。此外,该综述还重点介绍了 CFD 建模技术的主要进展和创新,如多相模型、湍流建模和耦合模拟,旨在捕捉发酵罐内物理和生物现象错综复杂的相互作用。研究讨论了操作条件、反应器设计和微生物行为对生物乙醇产量和质量的影响,从而提供了对复杂系统动态的全面理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Fluid Dynamics Modeling of Fermentation Reactions in Bioethanol Fermentor: A Review
Bioethanol is a renewable energy source that can replace fossil fuels. The advantages in terms of economy and its impact on the environment make bioethanol was chosen as a biofuel. Bioethanol can be produced from various types of biomasses with the help of microorganisms, namely yeast, for the fermentation process. In manufacturing, factors including temperature, concentration, pH, fermentation time, and stirring speed influence the fermentation process. Computational Fluid dynamics (CFD) package can be applied to observe the procedures in a fermenter. CFD simulates fluid movement, energy transport, chemical reactions, and other phenomena with the aim of clarifying their impact on the overall effectiveness of bioethanol production. In this journal, a review of the fermentation process with CFD modeling was made to look at the parameters and phenomena during the bioethanol production process. The analysis commences with an examination of the processes involved in bioethanol production and underscores the crucial role of fermentation in transforming renewable resources into bioethanol. Subsequently, it delves into the foundational principles of CFD and how they are incorporated into the modeling of bioethanol fermenters. Furthermore, the review highlights key advancements and innovations in CFD modeling techniques, such as multiphase models, turbulence modeling, and coupled simulations, aiming to capture the intricate interplay of physical and biological phenomena within fermentors. Insights into the impact of operating conditions, reactor design, and microbial behavior on bioethanol yield and quality are discussed, providing a comprehensive understanding of the complex system dynamics.
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