Enjoy your
FREE PREVIEW which shows only 2022 data and 25 documents. Contact
Patent Forecast for full access.
Energy Financial Settlements
Search All Applications in Energy Financial Settlements
Application US20190206000
Published 2019-07-04
Building Energy Storage System With Multiple Demand Charge Cost Optimization
A building energy system includes a controller configured to obtain representative loads and rates for a plurality of scenarios and generate a cost function comprising a risk attribute and multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of at least one of the energy resources purchased within the corresponding demand charge period. The controller is configured to determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios, allocate an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization subject to one or more constraints based on the peak demand target for each of the multiple demand charges.
Much More than Average Length Specification
View the Patent Matrix® Diagram to Explore the Claim Relationships
USPTO Full Text Publication >
- 1. A building energy system configured to serve energy loads of a building or campus, the system comprising:
equipment configured to consume, produce, store, or discharge one or more energy resources, at least one of the energy resources purchased from a utility supplier; a controller configured to:
obtain representative loads and rates for the building or campus for each of a plurality of scenarios;
generate a cost function comprising a risk attribute and multiple demand charges, each of the demand charges corresponding to a demand charge period and defining a cost based on a maximum amount of at least one of the energy resources purchased from the utility supplier during any time step within the corresponding demand charge period;
determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios;
allocate, to each of a plurality of time steps within an optimization period, an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization of the cost function over the optimization period subject to one or more constraints based on the peak demand target for each of the multiple demand charges; and
operate the equipment to consume, produce, store, or discharge the one or more energy resources at each of the plurality of time steps in accordance with a result of the second optimization.
- 13. A method for managing a building energy system, comprising:
operating equipment to consume, store, or discharge one or more energy resources purchased from a utility supplier; determining an allocation of the energy resources across the equipment over an optimization period by:
obtaining representative loads and rates for the building or campus for each of a plurality of scenarios;
generating a cost function comprising a risk attributed and multiple demand charges, each of the demand charges corresponding to a demand charge period and defining a cost based on a maximum amount of the at least one energy resource purchased from the utility supplier during any time step within the corresponding demand charge period;
determining, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of scenarios; and
allocating, to each of a plurality of time steps within an optimization period, an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization of the cost function over the optimization period subject to one or more constraints based on the peak demand target for each of the multiple demand charges; and
controlling the equipment to store or discharge the amount of energy allocated for a current time step of the plurality of time steps.