美国小啤酒厂碳捕获与利用综合评价

Monica Uribe-Francisco, Olivia Hoerle, Joshua A. Groover, Olivia Zarroli
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引用次数: 0

摘要

啤酒生产的酿造过程既消耗又排放二氧化碳。大多数小啤酒厂没有捕获和清洁生产过程中产生的二氧化碳,而是将其排放到大气中。通过捕获、清洁和再利用发酵过程中的二氧化碳,而不是从外部供应商那里购买,小啤酒厂有可能节省资金并减少碳足迹。二氧化碳捕获和清洁系统现在已经商业化,但价格昂贵。考虑到小啤酒厂面临的财务缺陷,我们开发了一个决策支持工具(DST),该工具带有一个仪表板,旨在为实施特定的碳捕获和利用系统(CCUS)提供可行性评估。仪表板具有易用性和可访问性,并为各种变量提供相关信息:执行评估的直接和间接成本和收益,包括CCUS的生命周期成本收益分析、敏感性分析等。DST通过专家启发和模拟进行测试和验证。其设计依靠系统仿真软件Vensim进行后端方程推导的开发。前端托管在用户友好的仪表板上。可以进行进一步的测试和验证,以进一步改进系统的前端设计和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Carbon Capture and Utilization Evaluation for U.S. Microbreweries
The brewing process for beer production both utilizes and emits carbon dioxide (CO2). Instead of capturing and cleaning CO2 produced in the process, most microbreweries emit it into the atmosphere. Microbreweries have the potential to save money and reduce their carbon footprint by capturing, cleaning, and reusing CO2 from the fermentation process instead of purchasing it from an outside supplier. CO2 capture and cleaning systems are now commercially available but are costly. Given the financial drawback that microbreweries face, a decision support tool (DST) is developed with a dashboard that aims to provide a feasibility assessment for implementing a specific carbon capture and utilization system (CCUS). The dashboard has an ease of use and accessibility and provides relevant information for a wide range of variables: direct and indirect costs and benefits to perform assessments including life cycle cost-benefit analysis for the CCUS, sensitivity analysis, and more. The DST uses testing and validation through expert elicitation and simulation. Its design relies on system simulation software Vensim for the development of a back-end equation derivation. The front-end is hosted on a user-friendly dashboard. Further testing and validation can be conducted to further improve the frontend design and usability of the system.
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