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Projects: Projects for Investigator
Reference Number EP/R01485X/1
Title Computational Methods for Anaerobic Digestion Optimization (CoMAnDO)
Status Completed
Energy Categories Renewable Energy Sources(Bio-Energy, Production of other biomass-derived fuels (incl. Production from wastes)) 100%;
Research Types Basic and strategic applied research 50%;
Applied Research and Development 50%;
Science and Technology Fields BIOLOGICAL AND AGRICULTURAL SCIENCES (Biological Sciences) 25%;
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor J Bridgeman
No email address given
School of Engineering and Informatics
University of Bradford
Award Type Standard
Funding Source EPSRC
Start Date 01 April 2018
End Date 31 August 2021
Duration 41 months
Total Grant Value £341,482
Industrial Sectors Environment; Water
Region Yorkshire & Humberside
Programme NC : Engineering
 
Investigators Principal Investigator Professor J Bridgeman , School of Engineering and Informatics, University of Bradford (99.999%)
  Other Investigator Professor NJ Cassidy , Civil Engineering, University of Birmingham (0.001%)
  Industrial Collaborator Project Contact , Severn Trent Water (0.000%)
Project Contact , The Fluid Group (Fluid Flow Ltd) (0.000%)
Project Contact , North Midland Construction (NM Group) (0.000%)
Web Site
Objectives
Abstract 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.
Publications (none)
Final Report (none)
Added to Database 07/12/17