Why do you need demand response?
- Reducing capacity-linked payments
- Increase the available power reserve for free
- Avoid investments in grid infrustruture reinforcement
- Avoid overloading internal networks
- Increase your share of renewable power consumption,
- Reduce capital costs when planning on-site power generation
- Reduce on-site generation cost
How load management system works
The droid («artificial intelligence system») makes a consumption forecast and based on energy cost and capacity data over the chosen time period, determines the optimal consumption scheduled for the company.
The manager sets limits for key performance indicators, so that changes in the load profile do not affect the main production processes. For example, the minimum and maximum room temperature, the maximum temperature in the freezer, the minimum temperature of hot water in the storage tank etc.
For instance, on a summer day the system predicts that the peak consumption in the power system will be at 5pm. It preliminarily lowers the room temperature by 2 degrees. At 5pm, it reduces the performance of climate systems, decreasing the electricity consumption, while monitoring the temperature in the room and other monitored indicators within the limits. After the peak has passed (after 6pm), the system decreases the room temperature again, gradually bringing it back to normal, without exceeding the set level of consumption.
How does the droid know what volume load the system can handle?
In the example above, the system calculated the amount of load reduction in advance. This calculation was made on the basis of the energy consumption model or the “digital twin” of the object (building) and other elements (refrigeration, water heater etc.). When the system is deployed, we construct a digital model of energy consumption. Based on the data of the actual performance of the indicators, the model is adjusting parameters for a best fit (the learning process).