Building energy management system with virtual audit metrics
The present disclosure is directed to a method for performing energy analytics in a building management system. The method can include collecting respective data samples of one or more variables from building equipment during a first period of time and a second period of time. The method can include calculating a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time and the second period of time. The method can include comparing the first plurality of values and second plurality of values. The method can include displaying, based on the comparison, at least one of the first plurality of values and/or at least one of the second plurality of values on a dashboard to facilitate adjustment of the one or move variables.
1. A method for performing energy analytics in a building management system for a building, comprising:
collecting, by one or more processors, respective data samples of one or more variables of the building management system from building equipment during a first period of time;
calculating, by the one or more processors, a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time;
collecting, by the one or more processors, respective data samples of the one or more variables from the building equipment during a second period of time;
calculating, by the one or more processors, a second plurality of values for the one or more energy audit metrics based on the data samples collected during the second period of time; and
conducting, by the one or more processors, at least a portion of an American Society of Heating, Refrigeration, and Air-Conditioning Engineers (ASHRAE) building energy audit remotely without deploying an energy auditor to the building using the first plurality of values and the second plurality of values.
2. The method of claim 1 , further comprising:
periodically calculating the first plurality of values for the one or more energy audit metrics based on the data samples collected during the first period of time; and
periodically calculating the second plurality of values for the one or more energy audit metrics based on the data samples collected during the second period of time.
3. The method of claim 1 , wherein the one or more energy audit metrics include at least one of: a minimum level of demand on energy of the building, a maximum level of demand on energy of the building, a range defined by a difference between the minimum level of demand on energy of the building and a maximum level of demand on energy of the building, an energy usage intensity (EUI), or a daily variation to the minimum level of demand on energy of the building.
4. The method of claim 1 , wherein the one or more energy audit metrics include a thermal efficiency of the building, the method further comprising:
calculating at least one of the first plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the first period of time, one or more weather-related variables during the first period of time, an area of a surface of the building during the first period of time, or a thermal conductivity of a construction material of the building during the first period of time; and
calculating at least one of the second plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the second period of time, one or more weather-related variables during the second period of time, an area of a surface of the building during the second period of time, or a thermal conductivity of a construction material of the building during the second period of time.
5. The method of claim 1 , wherein the one or more energy audit metrics include an occupancy schedule of the building and wherein the building equipment includes a lightning system and/or a heating, ventilation, and air conditioning (HVAC) system, the method further comprising:
calculating at least one of the first plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time; and
calculating at least one of the second plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time.
6. The method of claim 1 , further comprising:
calculating a first heating degree day (HDD) variable based on the data samples collected during the first period of time;
determining at least one of the first plurality of values indicating a first heating type during the first period of time based on the first HDD variable and energy consumption of the building during the first period of time;
calculating a second HDD variable based on the data samples collected during the second period of time; and
determining at least one of the second plurality of values indicating a second heating type during the second period of time based on the second HDD variable and energy consumption of the building during the second period of time.
7. The method of claim 1 , further comprising:
generating a first model that defines a relationship between the data samples collected during the first period of time and one or more weather-related variables during the first period of time;
determining at least one of the first plurality of values indicating a first heating type during the first period of time based on the first model;
generating a second model that defines a relationship between the data samples collected during the second period of time and one or more weather-related variables during the second period of time; and
determining at least one of the second plurality of values indicating a second heating type during the second period of time based on the second model.
8. A computing device comprising:
a memory; and
one or more processors operatively coupled to the memory, the one or more processors configured to:
collect respective data samples of one or more variables of a building management system for a building from building equipment during a first period of time;
calculate a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time;
collect respective data samples of the one or more variables from the building equipment during a second period of time;
calculate a second plurality of values for the one or more energy audit metrics based on the data samples collected during the second period of time; and
conduct at least a portion of an American Society of Heating, Refrigeration, and Air-Conditioning Engineers (ASHRAE) building energy audit remotely without deploying an energy auditor to the building using the first plurality of values and the second plurality of values.
9. The computing device of claim 8 , wherein the one or more energy audit metrics include at least one of: a minimum level of demand on energy of the building, a maximum level of demand on energy of the building, a range defined by a difference between the minimum level of demand on energy of the building and a maximum level of demand on energy of the building, an energy usage intensity (EUI), or a daily variation to the minimum level of demand on energy of the building.
10. The computing device of claim 8 , wherein the one or more energy audit metrics include a thermal efficiency of the building, the one or more processors further configured to:
calculate at least one of the first plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the first period of time, one or more weather-related variables during the first period of time, an area of a surface of the building during the first period of time, or a thermal conductivity of a construction material of the building during the first period of time; and
calculate at least one of the second plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the second period of time, one or more weather-related variables during the second period of time, an area of a surface of the building during the second period of time, or a thermal conductivity of a construction material of the building during the second period of time.
11. The computing device of claim 8 , wherein the one or more energy audit metrics include an occupancy schedule of the building and wherein the building equipment includes a lightning system and/or a heating, ventilation, and air conditioning (HVAC) system, the one or more processors further configured to:
calculate at least one of the first plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time; and
calculate at least one of the second plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time.
12. The computing device of claim 8 , wherein the one or more processors are further configured to:
calculate a first heating degree day (HDD) variable based on the data samples collected during the first period of time;
determine at least one of the first plurality of values indicating a first heating type during the first period of time based on the first HDD variable and energy consumption of the building during the first period of time;
calculate a second HDD variable based on the data samples collected during the second period of time; and
determine at least one of the second plurality of values indicating a second heating type during the second period of time based on the second HDD variable and energy consumption of the building during the second period of time.
13. The computing device of claim 8 , wherein the one or more processors are further configured to:
generate a first model that defines a relationship between the data samples collected during the first period of time and one or more weather-related variables during the first period of time;
determine at least one of the first plurality of values indicating a first heating type during the first period of time based on the first model;
generate a second model that defines a relationship between the data samples collected during the second period of time and one or more weather-related variables during the second period of time; and
determine at least one of the second plurality of values indicating a second heating type during the second period of time based on the second model.
14. A non-transitory computer readable medium storing program instructions for causing one or more processors to:
collect respective data samples of one or more variables of a building management system for a building from building equipment during a first period of time;
calculate a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time;
collect respective data samples of the one or more variables from the building equipment during a second period of time;
calculate a second plurality of values for the one or more energy audit metrics based on the data samples collected during the second period of time;
conduct at least a portion of an American Society of Heating, Refrigeration, and Air-Conditioning Engineers (ASHRAE) building energy audit remotely without deploying an energy auditor to the building using the first plurality of values and the second plurality of values.
15. The non-transitory computer readable medium of claim 14 , wherein the one or more energy audit metrics include at least one of: a minimum level of demand on energy of the building, a maximum level of demand on energy of the building, a range defined by a difference between the minimum level of demand on energy of the building and a maximum level of demand on energy of the building, an energy usage intensity (EUI), or a daily variation to the minimum level of demand on energy of the building.
16. The non-transitory computer readable medium of claim 14 , wherein the one or more energy audit metrics include a thermal efficiency of the building, and wherein the program instructions further causes the one or more processors to:
calculate at least one of the first plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the first period of time, one or more weather-related variables during the first period of time, an area of a surface of the building during the first period of time, or a thermal conductivity of a construction material of the building during the first period of time; and
calculate at least one of the second plurality of values for the thermal efficiency further based on at least one of: electricity consumption of the building during the second period of time, one or more weather-related variables during the second period of time, an area of a surface of the building during the second period of time, or a thermal conductivity of a construction material of the building during the second period of time.
17. The non-transitory computer readable medium of claim 14 , wherein the one or more energy audit metrics include an occupancy schedule of the building and wherein the building equipment includes a lightning system and/or a heating, ventilation, and air conditioning (HVAC) system, and wherein the program instructions further causes the one or more processors to:
calculate at least one of the first plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time; and
calculate at least one of the second plurality of values for the occupancy schedule based on at least one of an automatic turning on/off schedule of the lighting system during the first period of time or an automatic turning on/off schedule of the HVAC system during the first period of time.
18. The non-transitory computer readable medium of claim 14 , wherein the program instructions further causes the one or more processors to:
calculate a first heating degree day (HDD) variable based on the data samples collected during the first period of time;
determine at least one of the first plurality of values indicating a first heating type during the first period of time based on the first HDD variable and energy consumption of the building during the first period of time;
calculate a second HDD variable based on the data samples collected during the second period of time; and
determine at least one of the second plurality of values indicating a second heating type during the second period of time based on the second HDD variable and energy consumption of the building during the second period of time.
19. The non-transitory computer readable medium of claim 14 , wherein the program instructions further causes the one or more processors to:
generate a first model that defines a relationship between the data samples collected during the first period of time and one or more weather-related variables during the first period of time;
determine at least one of the first plurality of values indicating a first heating type during the first period of time based on the first model;
generate a second model that defines a relationship between the data samples collected during the second period of time and one or more weather-related variables during the second period of time; and
determine at least one of the second plurality of values indicating a second heating type during the second period of time based on the second model.
20. The non-transitory computer readable medium of claim 14 , wherein the program instructions further causes the one or more processors to:
periodically calculate the first plurality of values for the one or more energy audit metrics based on the data samples collected during the first period of time; and
periodically calculate the second plurality of values for the one or more energy audit metrics based on the data samples collected during the second period of time.