EA-SAS Ventilation
EA-SAS Ventilation is a Digital Twin of ventilation systems for industrial and building applications. Advanced control optimizes operation also reviews the operating modes of all installed components.
During the installation of the system, a detailed inventory of the ventilation system is performed, a mathematical model is created – a Digital Twin, that fully describes the indoor microclimate and the ventilation system. EA-SAS Ventilation automatically collects the required data from the controllers, BMS, Scada and other databases, performs the necessary calculations based on this data and submits a set point task for the ventilation system control.
At the online graphical UI user can view the operating modes of all installed ventilation systems in real time: its performance, temperatures, filter blockages, humidity and more.
Benefits:
- Minimized energy consumption;
- Reduced staff time costs for facility management and maintenance;
- Detailed inventory of equipment and process and digitization of collected information;
- Automatic filter condition monitoring and notifications of upcoming filter changes;
- Monitoring of indoor microclimate parameters and reporting of deviations;
- Possibility to remotely monitor the operation of the systems;
- Reduced risk of spreading respiratory diseases.
Problems that can be solved:
- Real time mass and energy balance of demand side
- Real time estimation of supplied air quality requirements, such as
temperature, humidity, static pressure - Advanced and automated ventilation system control
Reference
Multimeda is one of the biggest solid wood furniture manufacturers in Lithuania. In our production facilities we use dust collection systems with a total installed capacity of over 350 kW. These systems contribute significantly to our energy consumption, therefore, we ordered Energy Advice services to find energy mitigation opportunities. Energy Advice team applied EA-SAS software, created digital model of dust collection systems in our factory and calculated energy saving potential. The main finding was that due to big cross section area of main ducts, air flow speed can be too small to transport heavier dusts, therefore fans’ speed control cannot be done with existing ducts design. However, EA-SAS calculations also showed that by selecting optimal cross section area of ducts it is possible to ensure required air speed even with reduced fans’ speed. This would allow to save over 15% from dust collection system’s energy consumption. Therefore, we recommend EA-SAS Ventilation program for other companies that face problems with dust collection systems.
Multimeda, UAB
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