Allocation of energy production changes to meet demand changes
First Claim
1. A method of controlling a utility plant having multiple devices which consume power and provide energy, the method comprising:
- receiving a forecast of building energy demand;
receiving a forecast of factors influencing the operation of the utility plant;
operating an optimizer in a scheduling mode to determine which devices should be on and to provide control actions to specify a set point for each running device so that the operation is economically optimal and no constraint is violated;
operating the optimizer such that the optimizer takes into account a cost or penalty for starting up and shutting down the multiple devices between neighboring time intervals; and
operating the optimizer in a control mode to distribute energy demand between the devices based on efficiency and response times of the devices to minimize purchased energy cost;
wherein the method is performed for each of multiple scheduling intervals constituting an operation schedule for a scheduling time horizon; and
wherein device set points are determined to minimize cost (C) in accordance with
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Abstract
A computer implemented method optimizes a utility plant having multiple devices to convert input energy into output energy for a building. The method includes dividing a utility plant scheduling interval into several control intervals and for each control interval, obtaining a difference between a desired and a measured in-building condition controlled by output power from the utility plant, obtaining current values of multiple factors that influence operation of the utility plant, determining a new power demand of the building expected to decrease the difference, and finding set points for the multiple devices that satisfy the new power demand, take into account response times of the devices and their capacities, and optimize utility plant operation costs.
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Citations
14 Claims
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1. A method of controlling a utility plant having multiple devices which consume power and provide energy, the method comprising:
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receiving a forecast of building energy demand; receiving a forecast of factors influencing the operation of the utility plant; operating an optimizer in a scheduling mode to determine which devices should be on and to provide control actions to specify a set point for each running device so that the operation is economically optimal and no constraint is violated; operating the optimizer such that the optimizer takes into account a cost or penalty for starting up and shutting down the multiple devices between neighboring time intervals; and operating the optimizer in a control mode to distribute energy demand between the devices based on efficiency and response times of the devices to minimize purchased energy cost; wherein the method is performed for each of multiple scheduling intervals constituting an operation schedule for a scheduling time horizon; and wherein device set points are determined to minimize cost (C) in accordance with - View Dependent Claims (2)
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3. A computer implemented method of optimizing a utility plant having multiple devices to convert input energy into output energy for a building, the method comprising:
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dividing a utility plant scheduling interval into several control intervals and for each control interval; obtain a difference between a desired and a measured in-building condition controlled by a device from the utility plant; obtain current values of multiple factors that influence operation of the utility plant; determine a power demand of the building expected to decrease the difference; find set points for the multiple devices that satisfy the power demand, take into account response times of the devices and their capacities, and optimize utility plant operation costs; and for each control interval where no such set points are found; remove an exact match requirement for meeting the power demand; modify an optimization objective by adding a member representing weighted energy imbalance which is a difference between a desired demand and the energy available; and accept the result as the best possible step in the direction of eliminating the difference between the desired and measured in-building condition;
determining if the desired indoor air conditions cannot be achieved in a specified number of intervals; and
changing a configuration of devices operating in the utility plant by;
receiving a forecast of building energy demand;receiving a forecast of factors influencing the operation of the utility plant; and
operating the optimizer in a scheduling mode to determine which devices should be on and to provide control actions to specify a set point for each running device so that the operation is economically optimal and no constraint is violated as a function of energy cost. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A device comprising:
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a processor; input connections to receive energy demand, real time energy price data, and influencing condition information; and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform utility plant optimization by dividing a utility plant scheduling interval into several control intervals and for each control interval; obtaining a difference between a desired and a measured in-building condition controlled by a device from the utility plant; obtaining current values of multiple factors that influence operation of the utility plant; determining a power demand of the building expected to decrease the difference; finding set points for the multiple devices that satisfy the new power demand and take into account response times of the devices and their capacities; and for each control interval where no such set points are found, optimization further comprises; removing an exact match requirement for meeting the new output power demand; modifying an optimization objective by adding a member representing weighted energy imbalance which is a difference between a desired demand and the energy available; and accepting the result as the best possible step in the direction of eliminating the difference between the desired and measured in-building condition;
determining if the desired indoor air conditions cannot be achieved in a specified number of intervals with a current configuration of multiple devices; and
changing the configuration of multiple devices operating in the utility plant by;
receiving a forecast of building energy demand;receiving a forecast of factors influencing the operation of the utility plant; and
operating the optimizer in a scheduling mode to determine which devices should be in the changed configuration of device and to provide control actions to specify a set point for each such device so that the operation is economically optimal and no constraint is violated. - View Dependent Claims (14)
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Specification