US 11,054,163 B2
System for forecasting fuel consumption for indoor thermal conditioning with the aid of a digital computer
Thomas E. Hoff, Napa, CA (US)
Assigned to CLEAN POWER RESEARCH, L.L.C., Napa, CA (US)
Filed by CLEAN POWER RESEARCH, L.L.C., Napa, CA (US)
Filed on Nov. 2, 2020, as Appl. No. 17/86,791.
Application 17/086,791 is a continuation of application No. 16/517,493, filed on Jul. 19, 2019, granted, now 10,823,442.
Application 16/517,493 is a continuation of application No. 15/343,079, filed on Nov. 3, 2016, granted, now 10,359,206, issued on Jul. 23, 2019.
Prior Publication US 2021/0048210 A1, Feb. 18, 2021
Int. Cl. F24F 11/30 (2018.01); G05B 13/02 (2006.01); F24F 130/10 (2018.01); F24F 110/00 (2018.01); F24F 140/60 (2018.01); F24F 130/00 (2018.01)
CPC F24F 11/30 (2018.01) [G05B 13/026 (2013.01); F24F 2110/00 (2018.01); F24F 2130/00 (2018.01); F24F 2130/10 (2018.01); F24F 2140/60 (2018.01); G05B 2219/2614 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system for forecasting building seasonal fuel consumption for indoor thermal conditioning with the aid of a digital computer, comprising:
a processor configured to execute code, the processor configured to:
obtain historical daily fuel consumption for thermal conditioning of a building during a time period;
identify internal gains within the building over the time period;
adjust the internal gains based upon season and the amount of fuel required by the HVAC system that provides the thermal conditioning of the building based on the HVAC system efficiency, comprising at least one of:
determine the adjusted internal gains for the time period in accordance with:

OG Complex Work Unit Math
where HeatOrCool is 1 for the heating season and −1 for the cooling season,

OG Complex Work Unit Math
represents the ratio of thermal conductivity over the HVAC system efficiency, TIndoor is the average indoor temperature, TBalance-Point is the balance point temperature, QAdj.Internal is the time period, and H is the duration of the time period in hours; and retrieving an average indoor temperature for the building over the time period; and
determine the adjusted heated gains using a plot, comprising:
obtain average daily outdoor temperatures over the time period;
generate the plot of the historical daily fuel consumption averaged on a daily basis versus the average daily outdoor temperatures over the time period;
determine the slope of the plot, convert the slope into average daily fuel usage rate, and equate the converted slope of the plot to the ratio of thermal conductivity over the HVAC system efficiency; and
equate the x-intercept of the plot to the balance point temperature; and
evaluate the adjusted internal gains as a function of the ratio of thermal conductivity over HVAC system efficiency, difference between average indoor temperature and the balance point temperature, and the duration of the time period; and
forecast seasonal fuel consumption for the building associated with a change to the building using the historical daily fuel consumption and the adjusted internal gains, wherein the change to the building comprises one or more of a change to an envelope of the building and a change to thermal conditioning equipment of the building.