Company
Dipl.-Ing. Dr. Hermann Maier, CEO gridlab GmbH
since 1997 numerous studies about different types of industrial plants using CFD methods , especially flue gas cleaning plants: FGD, SCR-DeNOx, Dedusting and more
– Chemical engineering studies (University of Technology Graz),
– Diploma thesis at DLR in Cologne (Germany) regarding solar technology (CSP) and solar chemistry
– PhD thesis at University of Technology Graz dealing about multiphase flow modelling of FGD spray towers (environmental technology)
2005 Start-Up of gridlab
2006 Winner of i2b-Award, main category ‚Technology & Innovation‘
2015 Nomination for Austrian Award for Information and Consulting
About us
gridlab – Great Ideas Laboratory – is known for long-term experience and know-how regarding optimisation of industrial plants using CFD methods. With respect to the goals of our clients we find sophisticated solutions increasing the efficiency of key units and processes.
Our services include consulting, developing and engineering of improved plant designs as well as validation and evaluation of improvements at site – with a minimum of requirements & costs.
We also support our clients by our expertise in process engineering and CAD engineering. Especially in the field of flue gas cleaning of large units (DeSOx, DeNOx, dedusting) we can provide clear solutions based on long-term experience of our team.
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Our competences
gridlab is specialised in the optimisation of industrial plants and technical processes with a focus on improving heat and mass transfer. These transport processes can become very complex in real plants and often decide about success or failure.
Questions & Answers
- CFD
- dispersed multi-phase flows
- spray characteristics
- single-phase flow
- Effectiveness
- Efficiency
- Digital Twin
- FGD plant
- Dedusting
- DeSOx
- DeNOx
Computational Fluid Dynamics, solving the transport equations by a numerical approach
Multi-phase flows involving a dispersed phases (in general particles, droplets, bubbles)
Specific properties of spray nozzles at operational conditions that can be measured in laboratory (e.g. droplet size distribution).
Flow conditions of a single phase of fluid (in general in liquid or gas)
Relation between result and goal; generally describes the yield of a process.
Relation between result and effort (or costs), generally describes the economic viability of a process
Digital model of an existing plant
Flue gas desulphurisation plant
Industrial removal of dust in flue gas
Flue gas cleaning of sulphur oxides (SO2, SO3)
Flue gas cleaning of nitrogen oxides (NOx)
- SCR Denox
- HVAC
- Multi-phase flows
- Navier-Stokes-equation
- Heat and mass transfer
- Flow optimisation
- Flow simulation
- Turbulence modelling
- Environmental technology
- Process engineering
- Residence time distribution (RTD)
Selective catalytic reduction of nitrogen oxides
Heating Ventilation Air-Conditioning
Multi-phase flows involving a several distinguishable phases (in general liquids, gases, particles)
One of the fundamentals transport equations in fluid dynamics, i.e. it’s describing the momentum transfer.
Transport processes for mass and energy that have a strong impact on processes in plants. They are often governed by fluid dynamics.
Optimisation of flow conditions in plants considering different production goals and increasing operational conditions
Simulation of flow conditions using CFD methods
Important model for describing turbulent dynamic flows which play a key role in technical processes.
Technical processes & technology about environmental protection, i.e. flue gas cleaning, waste water treatment or reprocessing of waste materials
Engineering science dealing about technical processes for transforming raw material and energy into products
Important parameter for continuous processes that indicates the typical residence time of fluids in a unit
