REAL TIME ENERGY CONSUMPTION MANAGEMENT OF APPLIANCES, DEVICES, AND EQUIPMENT USED IN HIGH-TOUCH AND ON-DEMAND SERVICES AND OPERATIONS
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Accused Products
Abstract
An embodiment models and predicts energy consumption and provides recurring and realistic opportunities to reduce energy consumption throughout the work day or process cycle using user interfaces to convey positive and negative feedback in a controlled manner; and user experiences that reward positive changes with increased positive feedback and reduced negative feedback. Energy consumption of categories of appliances, devices, and equipment is considered a random variable. Using archived energy data, business data, and other related data, statistical modeling is used to create inverse cumulative probability distribution functions. An energy budget (consumption prediction) is computed so that it meets a probability p of the budget being exceeded during a given interval. When the budget is exceeded the feedback is negative, otherwise feedback is positive. Each budget is computed as the value b of the random variable such that the probability that the random variable will be less than or equal to b is 1−p.
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Citations
132 Claims
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1-93. -93. (canceled)
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94. A method of controlling energy consumption at a facility having energy consuming equipment and an on-site human equipment operator capable of manually controlling the energy consumption of the equipment, the method comprising:
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sub-metering the equipment at the facility to produce time series data representing energy use during each time interval of a plurality of successive non-overlapping time intervals; repeatedly calculating, during and for each time interval, the total energy consumption of the equipment using the time series data; receiving a selected value indicative of a probability P that the total energy consumption of the equipment will exceed an energy budget B during each time interval; calculating the energy budget B from a statistical model of energy consumption for the equipment, wherein the energy budget B is a function of the probability P; repeatedly comparing, during and for each time interval, the total energy consumption of the equipment to the energy budget B to determine the progress made towards reaching the energy budget B for each time interval; and providing real-time feedback to the human equipment operator at the facility that indicates the progress made towards reaching the energy budget B within each time interval, wherein the real time feedback provides the human equipment operator with information that enables the human equipment operator to make real-time decisions about how to control the equipment in order to minimize energy consumption. - View Dependent Claims (95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 117)
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113. A computer program product for controlling energy consumption at a facility having energy consuming equipment and an on-site human equipment operator capable of manually controlling the energy consumption of the equipment, wherein the equipment at a facility is sub-metered to produce time series data representing energy use during each time interval of a plurality of successive non-overlapping time intervals, comprising:
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a computer usable medium having computer readable program code embodied in the computer usable medium for causing an application program to execute on a computer system, the computer readable program code means comprising; computer readable program code for repeatedly calculating, during and for each time interval, the total energy consumption of the equipment using the time series data; computer readable program code for receiving a selected value indicative of a probability P that the total energy consumption of the equipment will exceed an energy budget B during each time interval; computer readable program code for calculating the energy budget B from a statistical model of energy consumption for the equipment, wherein the energy budget B is a function of the probability P; computer readable program code for repeatedly comparing, during and for each time interval, the total energy consumption of the equipment to the energy budget B to determine the progress made towards reaching the energy budget B for each time interval; and computer readable program code for providing real-time feedback to the human equipment operator at the facility that indicates the progress made towards reaching the energy budget B within each time interval, wherein the real time feedback provides the human equipment operator with information that enables the human equipment operator to make real-time decisions about how to control the equipment in order to minimize energy consumption. - View Dependent Claims (114, 115, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130)
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131. The computer program product of 94, further comprising:
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computer readable program code for sub-metering multiple groups of the equipment, each group having its own energy budget B, further comprising; computer readable program code for determining, for each group of equipment, the number of groups that met the corresponding energy budget B over a fixed number of previous time intervals; and computer readable program code for graphically displaying one of a plurality of images indicative of the number of groups of equipment that meet their corresponding budget B.
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132. A computer program product for controlling energy consumption at a facility having multiple categories of energy consuming equipment and an on-site human equipment operator capable of manually controlling the energy consumption of the equipment, the method comprising, wherein the multiple categories of equipment at the facility are sub-metered to produce time series data representing energy use during each time interval of a plurality of successive non-overlapping time intervals, comprising:
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a computer usable medium having computer readable program code embodied in the computer usable medium for causing an application program to execute on a computer system, the computer readable program code means comprising; computer readable program code for repeatedly calculating, during and for each time interval, the total energy consumption of each category of the equipment using the time series data; computer readable program code for receiving, for each of the multiple categories of equipment, a value indicative of a probability P that the total energy consumption of the equipment category will exceed an energy budget B for the equipment category, during each time interval; computer readable program code for calculating, for each of the multiple categories of equipment, the energy budget B, from a statistical model of energy consumption for the equipment category where the energy budget B for each equipment category is a function of the selected probability P for each equipment category; computer readable program code for comparing, during and for each time interval, the total energy consumption of each equipment category to the energy budget B for each equipment category to determine if the energy budget B for each category was exceeded for each time interval; and computer readable program code for providing real-time feedback to the human equipment operator at the facility that indicates the number of equipment category budgets B that were met within each time interval, wherein the real time feedback provides the human equipment operator with information that enables the human equipment operator to make real-time decisions about how to control the equipment in order to minimize energy consumption.
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Specification