Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Trondheim, Norway; Institute for Marine Operations and Civil Engineering, Norwegian University of Science and Technology, Ålesund, Norway.
Department of Chemical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Bioresour Technol. 2020 Jan;295:122273. doi: 10.1016/j.biortech.2019.122273. Epub 2019 Oct 17.
This study sets out to develop an approach that couples attainable regions and fuzzy multicriteria decision methods for modeling optimal configurations of multistage digesters without using a kinetic model of the process. The approach is based on geometric analysis of methane curves as their shapes contain valuable insight into substrate biodegradability characteristics during anaerobic digestion. With the case study of abattoir waste, the results indicate that the optimal batch operation policy involves four anaerobic sequencing batch reactors operated in series with fresh feed being added at the second and the four stages (fed-batch systems). For continuous mode operation, the optimal configuration involves a continuous stirred tank digester with bypass from feed followed by an anaerobic baffled digester, which has been used to obtain a novel prototype. The methodological framework presented in this study can be adopted to enhance design of multistage anaerobic digesters especially when reliable kinetic models are unavailable.
本研究旨在开发一种方法，该方法结合可达区域和模糊多准则决策方法，用于对多阶段消化器进行建模，而无需使用该过程的动力学模型。该方法基于甲烷曲线的几何分析，因为它们的形状包含了有关厌氧消化过程中基质生物降解特性的有价值的见解。通过屠宰废物的案例研究，结果表明，最佳批处理操作策略涉及四个连续运行的厌氧序列分批式反应器，新鲜饲料分别在第二和第四个阶段添加（分批式系统）。对于连续运行模式，最佳配置涉及带有旁路进料的连续搅拌罐式消化器，然后是厌氧折流板式消化器，已使用该消化器来获得新型原型。本研究提出的方法框架可用于增强多阶段厌氧消化器的设计，尤其是在无法获得可靠动力学模型的情况下。
