Collaboration House peakload shaving

By adapting district heating use (meter_effect) during critical times during a day when there is a high load, the climate impact can be reduced. The idea is that by reducing the use of district heating at the most pressure on the system, reducing climate impact by avoiding the use of less climate-friendly fuels; This dataset describes how to artificially signal a lower outdoor temperature (outdoortemp_offset) than the actual outdoor temperature (outdoortemp) “tips” the control that it’s warmer outside. But because it won't get too cold inside and sacrifice comfort in the building, there is a budget/limit on how much you can control down which is controlled by temperature sensor in the property. This dataset can be combined with dataset Matematikgränd & Ålidhem HC peakload shaving, as the three buildings together form a grid. To relate the outcome to forecast values for the entire grid see Peakload shaving forecast and actual dataset