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Optimized Mesophilic Anaerobic Digestion Mixing

Total Cost €


EC-Contrib. €






 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.

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

Project "OptiMADMix" data sheet

The following table provides information about the project.


Organization address
address: Edgbaston
postcode: B15 2TT

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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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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