WHY DEMAND SIDE MANAGEMENT?
Peak loads are short-term high power demands in the power grid. Charges for grid usage are often based on the highest peak load consumed in a year. Therefore, peaks in consumption – even if they occur only for a short time – can be very costly.
ASKI PREVENTS THESE LOAD PEAKS FROM OCCURRING IN THE FIRST PLACE THROUGH OPTIMAL REDISTRIBUTION.
While static load capping is one way to avoid peak loads, Aski does not sacrifice convenience. The platform optimizes electrical loads in such a predictive way that peaks do not occur in the first place. Through intelligent load control (demand-side management), Aski intervenes in consumption with minimum switch-on and switch-off times as well as dynamic load distribution in such a way that power peaks are reduced by up to 40% without impairing the work process. The parameterization (max/min, on/off, switching or cycle times) can be specified individually, fixed or variable for each consumer to adapt the load management individually to your requirements.
The predictive, trend calculation-based peak load optimization detects at an early stage if the setpoint can be reached after 15 minutes. If an overrun is predicted, the lowest priorities will be controlled and clocked. This process repeats and applies to further load groups so no excess occurs.
An important element is the way the loads are controlled. In addition to the usual switching and cycle times, it is possible to react even more precisely to measured or calculated trend changes by automatically varying clocking and stepless load control using PWM (pulse widths modulation). This further reduces effective shutdown times for important loads.
Prioritization is flexible and subject to strict specifications such as minimum and maximum switch-on and switch-off times, switching hysteresis, clock pulses, etc.
This makes it possible to distinguish between necessary consumption and unnecessary power peaks by means of several complex calculation algorithms running in parallel. Due to all changeable parameters, the control and switching behavior can be easily adapted to the respective operation, the individual conditions and the different consumers. Temporal tolerance of all types are possible, whether it is dynamic load shifting in the generation of heat and cold by exploiting thermal inertia, the dynamic control of charging stations or the charging and discharging of battery storage units.