用于生物燃料生产的藻类快速水解的详细建模

N. Legrand
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摘要

Noah Joseph LeGrand Old Dominion University, 2020年主任:Dr. Orlando M. Ayala藻类衍生的生物燃料正作为一种重要的可再生能源被商业化。像任何新技术一样,需要改进转化,包括降低工艺复杂性和更好地利用整个微藻原料。老道明生物质实验室专注于藻类生物燃料生产的快速水解。这个过程包括快速加热藻类和水混合成泥浆到亚临界状态。小规模台架试验的结果是有希望的,但过程规模是一个挑战。目前有一个中试实验室规模的系统,利用感应加热,以达到控制的反应温度,反应持续时间为10秒或更短。然而,感应加热过程对所产生的反应的影响尚未得到检验。这是本文的研究重点。利用COMSOL Multiphysics 5.1对中试闪蒸水解反应器系统进行了仿真。COMSOL模型假设充分发展的层流浆流具有电磁场、速率敏感的化学反应和稀物质的扩散输送。利用网格细化分析、质量和能量平衡以及实验验证对模型进行了验证。这项研究表明,工业规模的挑战将包括对原料通道尺寸、感应线圈间距、长度和激励频率、过程停留时间和藻类浓度的敏感性。此外,通过对快速加热和随后的淬火过程进行热管理,可以提高工艺效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETAILED MODELING OF THE FLASH HYDROLYSIS OF ALGAE FOR BIOFUEL PRODUCTION
DETAILED MODELING OF THE FLASH HYDROLYSIS OF ALGAE FOR BIOFUEL -PRODUCTION IN COMSOL MULTIPHYSICS Noah Joseph LeGrand Old Dominion University, 2020 Director: Dr. Orlando M. Ayala Algae-derived biofuels are being commercialized as an important renewable energy source. Like any new technology, conversion improvements are desired, including reductions in process complexity and better utilization of the entire microalgae feedstock. The Old Dominion Biomass Laboratory has focused on flash hydrolysis for algae biofuel production. That process involves rapidly heating algae and water mixed as a slurry to a subcritical state. Results from small-scale bench tests are promising, but process scale up is a challenge. Currently there exists a pilot laboratory scale system utilizing induction heating in order to reach controlled reaction temperatures with a reaction duration of 10 seconds or less. However, the influence of the induction heating process on the resulting reactions had not been examined. That is the focus of this thesis. The pilot flash hydrolysis reactor system has been simulated utilizing COMSOL Multiphysics 5.1. The COMSOL model assumed fully developed laminar slurry flow with an electromagnetic field, rate sensitive chemical reactions, and diffusive transport of dilute species. Mesh refinement analysis, mass and energy balances, and experimental verification have been utilized to validate the model. This study has shown that industrial scale up challenges will include sensitivity to feedstock channel size, induction coil pitch, length and excitation frequency, process residence time, and algae concentration. Furthermore, process efficiency improvement may be possible by thermal management of the rapid heating and subsequent quenching process.
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