Computational Methods for Anaerobic Digestion Optimization (CoMAnDO)
Computational Methods for Anaerobic Digestion Optimization (CoMAnDO)
批准号:
EP/R01485X/1
负责人:
John Bridgeman
金额:
$43.51万
依托单位:
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
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
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.
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A CFD strategy to retrofit an anaerobic digester to improve mixing performance in wastewater treatment.
改造厌氧消化器以提高废水处理混合性能的 CFD 策略。
DOI:
10.2166/wst.2020.086
发表时间:
2020
期刊:
a journal of the International Association on Water Pollution Research
影响因子:
--
作者:
[Dapelo D]
通讯作者:
Dapelo D
Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
全尺寸沼气混合厌氧消化池的格子-玻尔兹曼 LES 建模
DOI:
10.1007/s00366-023-01854-3
发表时间:
2023
期刊:
Engineering with Computers
影响因子:
8.7
作者:
[Dapelo D]
通讯作者:
Dapelo D
The application of Buckingham p theorem to Lattice-Boltzmann modelling of sewage sludge digestion
白金汉p定理在污水污泥消化格子-玻尔兹曼模型中的应用
DOI:
10.1016/j.compfluid.2020.104632
发表时间:
2020
期刊:
Computers & Fluids
影响因子:
2.8
作者:
[Dapelo D]
通讯作者:
Dapelo D
Towards Lattice-Boltzmann modelling of unconfined gas mixing in anaerobic digestion
厌氧消化中无侧限气体混合的格子-玻尔兹曼模型
DOI:
10.1016/j.compfluid.2018.12.008
发表时间:
2019
期刊:
Computers & Fluids
影响因子:
2.8
作者:
[Dapelo D]
通讯作者:
Dapelo D
Real-time condition monitoring and early warning of failure of potable water using novel fluorescence spectroscopy instrumentation
-
批准号:EP/I001379/1
-
项目类别:Research Grant
-
资助金额:$28.19万
-
财政年份:2010
-
负责人:John Bridgeman
-
依托单位:
Water quality measurement in regions of poor sanitation
-
批准号:EP/H003061/1
-
项目类别:Research Grant
-
资助金额:$25.16万
-
财政年份:2009
-
负责人:John Bridgeman
-
依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data
-
批准号:60601030
-
项目类别:青年科学基金项目
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资助金额:17.0万元
-
批准年份:2006
-
负责人:Axel Mosig
-
依托单位: