In this article, you will learn everything about the HVAC Regression report.
- Introduction
- Available frequencies
- Available Energy Sources
- Configuration
- Requirements
- Report detailing
Introduction
The HVAC regression report helps the Energy Manager and Maintenance staff check the performance of the global HVAC system. For the selected time range, it calculates the regression between the external temperature and HVAC consumption, for both cooling and heating zones, according to the reference temperatures configured in the location, so users can detect outliers and inefficiencies.
The Potential savings matrix shows the % of consumption increase/decrease when changing your internal temperature in 1 ºC or more, giving an idea of how much energy you will save by changing the set-point in your particular HVAC system.
The Potential savings matrix shows the % of consumption increase/decrease when changing your internal temperature in 1 ºC or more, giving an idea of how much energy you will save by changing the set-point in your particular HVAC system.
Available frequencies
- On Demand
Available Energy Sources
- Electricity (HVAC or Main device)
Configuration
- By location
- For the period desired
Requirements
- HVAC / Main device configured as reference meter in the location or locations with available data
- Outdoor temperature device configured in a location with data
Report detailing
- Report title. Report gets its title from the report configuration wizard.
- Date range for the report.
- Printed report date.
- Customer and location basic information, such as customer name and Location. Depending on available devices, consumption data will be taken from HVAC device or Main device, Temperature data will be taken from Outdoor temperature device.
- This part of the chart shows the regression between outdoor average daily temperature and consumption temperature, for the heating zone. Normally, the slope for this regression must be negative. At low temperatures, HVAC system consumes more energy. You must check outliers and variability in consumptions at the same outdoor temperature.
- This part of the chart shows the regression between outdoor average daily temperature and consumption temperature, for the cooling zone. Normally, the slope for this regression must be positive. At high temperatures, HVAC system consumes more energy. You must check outliers and variability in consumptions at the same outdoor temperature.
- The matrix expresses how much energy you will consume/save by changing 1ºC or more your indoor temperature set-point. This is the real value for your facility.
- Same as point 7 but for the cooling zone.
- This chart shows the ratio of evolution between consumed energy and average daily outdoor temperature.