US 11,894,676 B2
Building energy management system with energy analytics
Andrew J. Boettcher, Wauwatosa, WI (US); Steven R. Vitullo, Milwaukee, WI (US); Vivek Narain, Greater Noida (IN); Youngchoon Park, Brookfield, WI (US); Gerald A. Asp, Milwaukee, WI (US); Peter A. Craig, Pewaukee, WI (US); and Vijaya S. Chennupati, Brookfield, WI (US)
Assigned to JOHNSON CONTROLS TECHNOLOGY COMPANY, Auburn Hills, MI (US)
Filed by Johnson Controls Technology Company, Auburn Hills, MI (US)
Filed on Mar. 7, 2022, as Appl. No. 17/688,054.
Application 17/688,054 is a continuation of application No. 16/728,858, filed on Dec. 27, 2019, granted, now 11,268,732.
Application 16/728,858 is a continuation of application No. 15/408,405, filed on Jan. 17, 2017, granted, now 10,527,306, issued on Jan. 7, 2020.
Application 15/408,405 is a continuation in part of application No. 15/182,579, filed on Jun. 14, 2016, granted, now 10,055,206, issued on Aug. 21, 2018.
Application 15/182,579 is a continuation in part of application No. 15/182,580, filed on Jun. 14, 2016, granted, now 10,649,419, issued on May 12, 2020.
Claims priority of provisional application 62/286,273, filed on Jan. 22, 2016.
Prior Publication US 2022/0299230 A1, Sep. 22, 2022
Int. Cl. F24F 11/62 (2018.01); H02J 13/00 (2006.01); F24F 11/30 (2018.01); G05B 15/02 (2006.01); H02J 3/14 (2006.01); F24F 11/63 (2018.01); F24F 140/60 (2018.01); F24F 130/00 (2018.01); F24F 130/10 (2018.01); F24F 11/46 (2018.01); F24F 11/52 (2018.01); H02J 3/00 (2006.01)
CPC H02J 13/00004 (2020.01) [F24F 11/30 (2018.01); F24F 11/62 (2018.01); G05B 15/02 (2013.01); H02J 3/14 (2013.01); H02J 13/00002 (2020.01); F24F 11/46 (2018.01); F24F 11/52 (2018.01); F24F 11/63 (2018.01); F24F 2130/00 (2018.01); F24F 2130/10 (2018.01); F24F 2140/60 (2018.01); G05B 2219/2642 (2013.01); H02J 3/00 (2013.01); H02J 2203/20 (2020.01); Y02B 70/30 (2013.01); Y02B 70/3225 (2013.01); Y04S 20/20 (2013.01); Y04S 20/222 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A building energy management system of a building comprising:
one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to:
collect data samples of one or more variables of the building from building equipment and generate a resource consumption timeseries indicating resource consumption of the building at a plurality of points in time, the resource consumption timeseries including the data samples;
perform one or more energy analytics using the resource consumption timeseries and generate an energy usage metric timeseries comprising a plurality of result samples indicating an energy usage metric for the building;
generate a results timeseries by removing an effect of weather from the resource consumption timeseries, wherein removing the effect of weather from the resource consumption timeseries includes:
generating a regression model that defines a relationship between the data samples of the resource consumption timeseries and one or more weather-related variables;
determining values of the one or more weather-related variables during a time period associated with the resource consumption timeseries;
applying values of the one or more weather-related variables as inputs to the regression model to estimate weather-normalized values of the data samples; and
storing the weather-normalized values of the data samples as the energy usage metric timeseries; and
operate, using the energy usage metric timeseries, a piece of the building equipment.