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Computational Methods for Anaerobic Digestion Optimization (CoMAnDO)

厌氧消化优化的计算方法 (CoMAnDO)

基本信息

批准号：
EP/R01485X/1
负责人：
John Bridgeman
金额：
$ 43.51万
依托单位：
University of Bradford
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR01485X%2F1
关键词：
Computational Methods Anaerobic Digestion Optimization

项目摘要

Renewable energy is key to the UK Government's environmental strategy. The by-product of wastewater treatment, sludge, is most commonly treated via mesophilic anaerobic digestion (AD), in which sludge is mixed with anaerobic bacteria to degrade biodegradable material and produce a methane-rich biogas. Biogas can then be harnessed via combined heat and power technology for energy recovery. Whilst water companies initially implemented the processes for sludge stabilization, the current focus on the role of renewables in securing our energy future means that there still remains a pressing need to optimize digester design and mixing to maximize energy recovery.Mixing is crucial to digester performance. This project, CoMAnDO, will use the highly innovative approach of coupled hydrodynamic/anaerobic digestion numerical modelling to identify mixing regimes and associated flow patterns that optimise biological activity and biogas output, while minimising energy input and avoiding grit deposition, for anaerobic sludge digesters operating with unconfined gas mixing of municipal wastewater sludge. We will simulate for the first time the complex relationships between hydrodynamic and biokinetic processes in anaerobic digestion to facilitate optimization of process design and operation. The final output will be a methodology for the robust, yet computationally efficient modelling of gas-mixed mixing in anaerobic digesters, together with a set of practitioner guidelines for the most efficient and effective design and operation of digestion systems which can be applied extensively worldwide to provide the maximum renewable energy benefit that can be derived from an anaerobic digestion plant. There are, therefore, tangible outputs and benefits for academics and practitioners to be derived from CoMAnDO. Whilst initially focussed on the water industry, it is believed that the new modelling methodology developed here could lead to the development and widespread adoption of a new class of simulation tools with applications in many other academic disciplines.This project falls within the EPSRC 'Water Engineering' theme, defined as "Design and optimisation of technologies relating to water resource management, treatment and distribution systems". It addresses EPSRC's stated Resilient, Healthy and Productive Nation Outcomes and specifically addresses several of EPSRC Ambitions; viz: R1: Achieve energy security and efficiency; R2: Ensure a reliable infrastructure which underpins the UK economy; R4: Manage resources efficiently and sustainably.

可再生能源是英国政府环境战略的关键。废水处理的副产品污泥通常通过中温厌氧消化（AD）进行处理，其中污泥与厌氧细菌混合以降解可生物降解的物质并产生富含甲烷的沼气。然后可以通过热电联产技术利用沼气进行能量回收。虽然水公司最初实施了污泥稳定工艺，但目前关注可再生能源在确保未来能源安全方面的作用，这意味着仍然迫切需要优化消化器设计和混合，以最大限度地回收能源。混合对蒸煮器的性能至关重要。CoMAnDO项目将采用高度创新的耦合流体动力/厌氧消化数值模拟方法，确定混合制度和相关的流动模式，以优化生物活性和沼气产量，同时最大限度地减少能量输入，避免砂砾沉积，用于厌氧污泥消化器，与城市污水污泥的无约束气体混合。我们将首次模拟厌氧消化中流体动力学和生物动力学过程之间的复杂关系，以促进工艺设计和操作的优化。最终的成果将是厌氧消化器中气体混合混合的稳健且计算效率高的建模方法，以及一套最有效和最有效的消化系统设计和操作的实践者指南，这些指南可在全球范围内广泛应用，以提供可从厌氧消化装置中获得的最大可再生能源效益。因此，CoMAnDO为学者和从业人员带来了切实的产出和利益。虽然最初专注于水务行业，但相信这里开发的新建模方法可以导致新一类模拟工具的发展和广泛采用，并应用于许多其他学科。该项目属于EPSRC“水工程”主题，定义为“设计和优化与水资源管理、处理和分配系统相关的技术”。它解决了EPSRC提出的弹性、健康和富有成效的国家成果，并具体解决了EPSRC的几个目标；即：R1：实现能源安全与效率；R2：确保支撑英国经济的可靠基础设施；R4：有效和可持续地管理资源。