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OptiMADMix TERMINATED

Optimized Mesophilic Anaerobic Digestion Mixing

Total Cost €

0

EC-Contrib. €

0

Partnership

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 OptiMADMix project word cloud

Explore the words cloud of the OptiMADMix project. It provides you a very rough idea of what is the project "OptiMADMix" about.

time    meeting    implementing    heat    global    methodology    produces    assisting    hydraulic    optimise    appropriate    harnessed    performance    reduce    programs    maximise    minimize    co2    50    grit    numerical    monitor    digesters    break    carbon    industry    eliminating    microbiological    recognising    reducing    thereby    recovery    significantly    water    biochemical    power    renewable    energy    improvements    output    hydrodynamic    simulate    30    technique    anaerobic    digester    relationships    mixing    world    innovative    2030    environment    whilst    maximising    consequently    countries    additional    optimize    mesophilic    methane    biokinetic    financial    extend    natural    first    sludge    framework    wastewater    coupled    sedimentation    food    directive    environmental    biodegradable    consumption    mad    cfd    combined    tangible    sewage    excessive    maximize    bacteria    treatment    material    benefits    uses    reductions    unnecessary    emissions    fellowship    biogas    exists    drive   

Project "OptiMADMix" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF BIRMINGHAM 

Organization address
address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT
website: www.bham.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-01-05   to  2018-01-04

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM UK (BIRMINGHAM) coordinator 183˙454.00

Map

 Project objective

The aim of this innovative Fellowship is to provide a robust numerical framework, based on novel developments in the fields of CFD and biokinetic modelling, to optimize mesophilic anaerobic digester (MAD) performance, by reducing energy consumption whilst maximising biogas production. By 2030 the world will have to produce 50% more food and energy and 30% more water. Consequently, most countries are implementing programs to reduce carbon emissions and enhance renewable energy production. MAD is the most widespread technology for the treatment of sewage sludge, the by-product of sewage treatment. This natural process uses bacteria to break down biodegradable material and produces a biogas rich in methane. The current drive to maximise energy recovery means that biogas from MAD is increasingly harnessed by combined heat and power technology. Thus, there exists the need to optimise digester performance to maximize energy recovery. The benefits of improved performance go beyond CO2 reductions, as they will facilitate environmental improvements, reduce operating costs and improve the financial performance of the European and global wastewater industry. The challenge is to improve digester control to minimize excessive mixing, so eliminating additional, unnecessary environmental and financial costs whilst maximising biogas output. We will simulate for the first time the complex relationships between hydrodynamic and microbiological processes in a MAD environment, whilst also recognising the potential for grit sedimentation within digesters. We will extend significantly previous work and use coupled CFD/MAD modelling as an innovative and robust technique to monitor and control the hydraulic and biochemical performance of MAD. Meeting the project aim will deliver an appropriate methodology to improve MAD design and control, thereby offering tangible environmental and financial benefits and assisting the meeting of EU Directive requirements.

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The information about "OPTIMADMIX" are provided by the European Opendata Portal: CORDIS opendata.

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