US2015006127A1PendingUtilityA1
Constructing and calibrating enthalpy based predictive model for building energy consumption
Est. expiryJun 28, 2033(~6.9 yrs left)· nominal 20-yr term from priority
G06Q 50/06G06Q 10/04G06N 7/005
62
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Claims
Abstract
A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.
Claims
exact text as granted — not AI-modifiedWe claim:
1 . A system for constructing a predictive model for building energy consumption, comprising:
a processor; a module operable to execute on the processor and further operable to receive historic energy consumption data associated with energy consumed in a building, the module further operable to determine enthalpy of air outside the building, and the module further operable to calibrate an energy consumption model based on the historic energy consumption data and the enthalpy of air outside the building, the energy consumption model incorporating enthalpy difference between a balance enthalpy and the enthalpy of air outside the building, wherein the calibrated energy consumption model is operable to predict future energy consumption associated with the building based on forecasted weather data, and further operable to detect anomaly in energy usage in the building.
2 . The system of claim 1 , wherein the enthalpy of air outside the building is determined based on historic weather data.
3 . The system of claim 1 , wherein the energy model is calibrated to determine values associated with balance enthalpy for heating, balance enthalpy for cooling, coefficient for base enthalpy, coefficient for heating enthalpy, coefficient for cooling enthalpy terms incorporated in the energy consumption model.
4 . The system of claim 1 , wherein the energy consumption model is calibrated for different buildings using historic energy consumption data and historic weather data respectively associated with the different buildings.
5 . The system of claim 1 , wherein the energy consumption model is run to predict energy consumption associated with the building in a future time, based on forecasted weather of the future time.
6 . The system of claim 1 , wherein the energy consumption model is run to detect anomaly in energy consumption associated with the building.
7 . The system of claim 1 , wherein the energy consumption model comprises an enthalpy based regression model in a mathematical form of
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wherein,
i=time period;
j=a meter;
k=meter reading interval;
N j =number of meter readings in j;
E ij =energy consumption recorded by meter j in time period i;
b j =coefficient for base enthalpy load for meter j;
h j =coefficient for heating enthalpy load for meter j;
c j =coefficient for cooling enthalpy load for meter j;
h h,bal,j =balance enthalpy for heating associated with meter j;
h c,bal,j =balance enthalpy for cooling associated with meter j;
h k =enthalpy of the outside air at time interval k;
ε ij =prediction error.
8 . A computer readable storage device storing a program of instructions executable by a machine to perform a method of constructing a predictive model for building energy consumption, the method comprising:
receiving historic energy consumption data associated with energy consumed in a building; determining enthalpy of air outside the building; and calibrating, by a processor, an energy consumption model that predicts the building energy consumption, the energy consumption model incorporating enthalpy difference between a balance enthalpy and the enthalpy of air outside the building, the calibrating performed based on the historic energy consumption data and the enthalpy of air outside the building.
9 . The computer readable storage device of claim 8 , wherein the determining enthalpy of air outside the building comprises receiving historic weather data, and computing the enthalpy of air outside the building based on the historic weather data.
10 . The computer readable storage device of claim 8 , wherein the calibrating determines values associated with balance enthalpy for heating, balance enthalpy for cooling, coefficient for base enthalpy, coefficient for heating enthalpy, coefficient for cooling enthalpy terms incorporated in the energy consumption model.
11 . The computer readable storage device of claim 8 , wherein the energy consumption model is run to predict energy consumption associated with the building in a future time, based on forecasted weather of the future time, or to detect anomaly in energy consumption associated with the building, or combinations thereof.
12 . The computer readable storage device of claim 8 , wherein the energy consumption model comprises an enthalpy based regression model in a mathematical form of
E
ij
=
b
j
+
h
j
·
HEL
ij
(
h
h
,
bal
,
j
)
+
c
j
·
CEL
ij
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,
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+
ɛ
ij
HEL
ij
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h
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=
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h
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k
=
1
N
k
max
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h
k
-
h
c
,
bal
,
j
,
0
)
,
wherein,
i=time period;
j=a meter;
k=meter reading interval;
N j =number of meter readings in j;
E ij =energy consumption recorded by meter j in time period i;
b j =coefficient for base enthalpy load for meter j;
h j =coefficient for heating enthalpy load for meter j;
c j =coefficient for cooling enthalpy load for meter j;
h h,bal,j =balance enthalpy for heating associated with meter j;
h c,bal,j =balance enthalpy for cooling associated with meter j;
h k =enthalpy of the outside air at time interval k;
ε ij =prediction error.Join the waitlist — get patent alerts
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