Predicting energy consumption
First Claim
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1. A computer-implemented method comprising:
- selecting, by a processing device, one of a plurality of base temperatures that allows a linear equation to estimate energy consumption by an asset as a function of an average daily demand on the asset to attain a desired temperature;
inserting, by the processing device, the selected base temperature in a non-linear equation for modeling the asset'"'"'s energy consumption;
receiving, by the processing device, a plurality of weather measurements indicating weather conditions of a region in which the asset is located, wherein the plurality of weather measurements are obtained during a baseline time period;
receiving, by the processing device, a plurality of energy consumption measurements indicating amounts of energy consumed by the asset, wherein the energy consumption measurements are obtained during the baseline time period;
calculating, by the processing device, the average daily demand to attain a predetermined range of temperatures, wherein the average daily demand represents an energy demand on the asset, wherein the average daily demand is calculated for each of a plurality of billing periods in the baseline time period, and wherein the desired temperature is within the predetermined range of temperatures;
utilizing, by the processing device, a plurality of linear equations representing estimations of energy consumption as a function of the average daily demand for each respective billing period, wherein each linear equation corresponds to a respective one of the plurality of base temperatures, the base temperatures representing outdoor temperatures at which the asset is not needed to attain the predetermined range of temperatures; and
evaluating, by the processing device, each of the linear equations based in part on how well the linear equation estimates actual energy consumption;
wherein the linear equation to estimate energy consumption by the asset is one of the plurality of linear equations;
wherein the selected base temperature corresponds to the linear equation that best estimates the actual energy consumption;
wherein creating the plurality of linear equations uses the following formula;
KWHLINk(Hi,Ci)=A1k+(A2k*Hi)+(A3k*Ci)and uses a least-squares analysis to determine A1, A2, and A3, where A1 is a coefficient representing a factor of energy usage that is not associated with heating and cooling, A2 is a coefficient representing a factor of energy usage associated with the heating demand, and A3 is a coefficient representing a factor of energy usage associated with the cooling demand; and
wherein A2 is also a factor of a volume of space to be heated and the efficiency of the heating system, and wherein A3 is a factor of the volume of space to be cooled and the efficiency of the cooling system.
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Abstract
Systems and methods for predicting energy usage of an asset are provided. Among several implementations of methods implemented by a computer, one embodiment of a computer-implemented method includes selecting one of a plurality of base temperatures that allows a linear equation to estimate energy consumption by an asset as a function of an average daily demand on the asset to attain a desired temperature. The computer-implemented method also includes inserting the selected base temperature in a non-linear equation for modeling the asset'"'"'s energy consumption.
79 Citations
18 Claims
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1. A computer-implemented method comprising:
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selecting, by a processing device, one of a plurality of base temperatures that allows a linear equation to estimate energy consumption by an asset as a function of an average daily demand on the asset to attain a desired temperature; inserting, by the processing device, the selected base temperature in a non-linear equation for modeling the asset'"'"'s energy consumption; receiving, by the processing device, a plurality of weather measurements indicating weather conditions of a region in which the asset is located, wherein the plurality of weather measurements are obtained during a baseline time period; receiving, by the processing device, a plurality of energy consumption measurements indicating amounts of energy consumed by the asset, wherein the energy consumption measurements are obtained during the baseline time period; calculating, by the processing device, the average daily demand to attain a predetermined range of temperatures, wherein the average daily demand represents an energy demand on the asset, wherein the average daily demand is calculated for each of a plurality of billing periods in the baseline time period, and wherein the desired temperature is within the predetermined range of temperatures; utilizing, by the processing device, a plurality of linear equations representing estimations of energy consumption as a function of the average daily demand for each respective billing period, wherein each linear equation corresponds to a respective one of the plurality of base temperatures, the base temperatures representing outdoor temperatures at which the asset is not needed to attain the predetermined range of temperatures; and evaluating, by the processing device, each of the linear equations based in part on how well the linear equation estimates actual energy consumption; wherein the linear equation to estimate energy consumption by the asset is one of the plurality of linear equations; wherein the selected base temperature corresponds to the linear equation that best estimates the actual energy consumption; wherein creating the plurality of linear equations uses the following formula;
KWHLINk(Hi,Ci)=A1k+(A2k*Hi)+(A3k*Ci)and uses a least-squares analysis to determine A1, A2, and A3, where A1 is a coefficient representing a factor of energy usage that is not associated with heating and cooling, A2 is a coefficient representing a factor of energy usage associated with the heating demand, and A3 is a coefficient representing a factor of energy usage associated with the cooling demand; and wherein A2 is also a factor of a volume of space to be heated and the efficiency of the heating system, and wherein A3 is a factor of the volume of space to be cooled and the efficiency of the cooling system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system comprising:
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a processing device configured to control the operations of the system; an interface device configured to receive a plurality of outdoor temperature measurements of a region in which an asset is located and a plurality of energy consumption measurements of the asset, wherein the plurality of outdoor temperature measurements and energy consumption measurements are taken during a baseline time period; an energy use prediction program in communication with the processing device, the energy use prediction program configured to enable the processing device to process a pair of values of a heating base temperature and a cooling base temperature, the energy use prediction program comprising an average daily heating demand calculating module, an average daily cooling demand calculating module, a linear equation fitting module, and a linear equation evaluation module; wherein the energy use prediction program is further configured to enable the processing device to; receive a plurality of weather measurements indicating weather conditions of a region in which the asset is located, wherein the plurality of weather measurements are obtained during a baseline time period; receive a plurality of energy consumption measurements indicating amounts of energy consumed by the asset, wherein the energy consumption measurements are obtained during the baseline time period; calculate the average daily demand to attain a predetermined range of temperatures, wherein the average daily demand represents an energy demand on the asset, wherein the average daily demand is calculated for each of a plurality of billing periods in the baseline time period, and wherein the desired temperature is within the predetermined range of temperatures; utilize a plurality of linear equations representing estimations of energy consumption as a function of the average daily demand for each respective billing period, wherein each linear equation corresponds to a respective one of the plurality of base temperatures, the base temperatures representing outdoor temperatures at which the asset is not needed to attain the predetermined range of temperatures; and evaluate each of the linear equations based in part on how well the linear equation estimates actual energy consumption; wherein the linear equation to estimate energy consumption by the asset is one of the plurality of linear equations; wherein the selected base temperature corresponds to the linear equation that best estimates the actual energy consumption; wherein the plurality of linear equations comprise the following formula;
KWHLINk(Hi,Ci)=A1k+(A2k*Hi)+(A3k*Ci)and use a least-squares analysis to determine A1, A2, and A3, where A1 is a coefficient representing a factor of energy usage that is not associated with heating and cooling, A2 is a coefficient representing a factor of energy usage associated with the heating demand, and A3 is a coefficient representing a factor of energy usage associated with the cooling demand; and wherein A2 is also a factor of a volume of space to be heated and the efficiency of the heating system, and wherein A3 is a factor of the volume of space to be cooled and the efficiency of the cooling system. - View Dependent Claims (11, 12, 13, 14)
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15. A computer-readable medium configured to store non-transitory instructions for predicting energy consumption, the instructions comprising:
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logic adapted to receive a plurality of weather measurements of outdoor weather conditions of a region in which an asset is located, wherein the plurality of weather measurements are taken during a baseline time period, and to receive energy consumption measurements of energy consumed by the asset, wherein the energy consumption measurements are taken during the baseline time period; logic adapted to calculate, for a first pair of values of a heating base temperature and a cooling base temperature, an average daily heating demand and an average daily cooling demand for each of a plurality of billing periods in the baseline time period; logic adapted to create, for the first pair of values, a linear equation representing an estimation of energy consumption as a function of the average daily heating demand and average daily cooling demand for each respective billing period; logic adapted to evaluate, for the first pair of values, the linear equation based in part on how well the linear equation estimates actual energy consumption logic adapted to receive a plurality of weather measurements indicating weather conditions of a region in which the asset is located, wherein the plurality of weather measurements are obtained during a baseline time period; logic adapted to receive a plurality of energy consumption measurements indicating amounts of energy consumed by the asset, wherein the energy consumption measurements are obtained during the baseline time period; logic adapted to calculate the average daily demand to attain a predetermined range of temperatures, wherein the average daily demand represents an energy demand on the asset, wherein the average daily demand is calculated for each of a plurality of billing periods in the baseline time period, and wherein the desired temperature is within the predetermined range of temperatures; logic adapted to utilize a plurality of linear equations representing estimations of energy consumption as a function of the average daily demand for each respective billing period, wherein each linear equation corresponds to a respective one of the plurality of base temperatures, the base temperatures representing outdoor temperatures at which the asset is not needed to attain the predetermined range of temperatures; and logic adapted to evaluate each of the linear equations based in part on how well the linear equation estimates actual energy consumption; wherein the linear equation to estimate energy consumption by the asset is one of the plurality of linear equations; wherein the selected base temperature corresponds to the linear equation that best estimates the actual energy consumption; wherein the plurality of linear equations comprise the following formula;
KWHLINk(Hi,Ci)=A1k+(A2k*Hi)+(A3k*Ci)and use a least-squares analysis to determine A1, A2, and A3, where A1 is a coefficient representing a factor of energy usage that is not associated with heating and cooling, A2 is a coefficient representing a factor of energy usage associated with the heating demand, and A3 is a coefficient representing a factor of energy usage associated with the cooling demand; and wherein A2 is also a factor of a volume of space to be heated and the efficiency of the heating system, and wherein A3 is a factor of the volume of space to be cooled and the efficiency of the cooling system. - View Dependent Claims (16, 17, 18)
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Specification