Synergetics has extensive experience in the design, implementation and optimisation of clean, efficient and practical industrial processes and manufacturing systems. These processes and systems cover a wide range of fields and scales, from studying the effects of pipe junctions on flow profiles, through to optimising the design of large pieces of plant equipment.
Figure 1: Combustion equipment is subjected to extreme conditions and can be costly to maintain and replace. Advanced modelling techniques allow us to test modifications before implementation, reducing costs, risks, and downtime.
Some examples of Synergetic’s past projects include:
- dynamic modelling of mixing processes to determine the required time or scale to achieve adequate mixing in water, wastewater, and chemical industries;
- simulating heat and mass transfer within drying processes to enable locally developed and manufactured products to meet and exceed end user requirements;
- modelling waste incineration processes to maximise efficiency whilst meeting emission targets;
- applying computational fluid dynamics (CFD) and granular material transport simulations to multiple hearth furnaces to provide unparalleled insight into internal operations, optimise performance, reduce maintenance and ensure infrastructure capacity to deal with future feed rates;
- expert analysis of dust generation mechanisms and design and development of dust capture hoods to significantly improve manufacturing conditions;
- heat exchanger optimisation to improve both energy efficiency and performance;
- design validation and optimisation of waste water systems such as clarifiers;
- conducting emission impact assessments to determine the air pollution control devices (APCD) required to meet operating licenses and regulatory limits both during commissioning or during operational changes;
- steady-state and dynamic fugitive emission modelling from a range of manufacturing processes, including casting and welding applications;
- equipment modelling to optimise and calibrate sensors and engineering systems;
- optimising ducting systems to reduce overall build up and deposition ;and
- optimisation of fans and ducting to condition air flow before entry into the fan.
Figure 2: We can use computational fluid dynamics (CFD) modeling to investigate the effectiveness of mixing processes under various loads and conditions.