Real-time global optimization of building setpoints and sequence of operation
First Claim
1. A building heating/cooling system energy optimization method for a building having at least one air handling unit (AHU) and a heating/cooling system including a plurality of components comprising at least a condenser unit, a heating unit and a cooling unit, said method comprising the steps:
- providing a mathematical model of the heating/cooling system including at least an efficiency profile of the components of the heating/cooling system;
obtaining real-time weather information including at least outside temperature and outside humidity;
reading an input water temperature (IWT) of said heating/cooling system, an output water temperature (OWT) of said heating/cooling system, a supply air temperature (SA) output to the building via the at least one air handling unit and an ambient air temperature (AA) within the building;
periodically transferring said real-time weather information, said IWT, said OWT, said SA and said AA, collectively real-time data, to an optimization engine, said optimization engine operative to analyze said real-time data in coordination with said mathematical model by assigning at least three selected values in a range surrounding and including current values of each of said IWT, said OWT and said SA for each of said IWT, said OWT and said SA and calculating the efficiency profile of the components of the heating/cooling system for each of said at least three selected values for each of said IWT, said OWT and said SA, then selecting those values calculated to provide a highest efficiency profile of the components of the heating/cooling system by cooperatively optimizing each of said IWT, said OWT and said SA; and
periodically resetting each of said IWT, said OWT and said SA to said values selected by said optimization engine to generally maximize the efficiency profile of the components of the heating/cooling system.
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Abstract
A building heating/cooling system energy optimization method for a building having a heating/cooling system includes the steps of providing a mathematical model of the heating/cooling system, obtaining real-time weather information, reading the input water temperature (IWT), the output water temperature (OWT) and the supply air temperature (SA) output to the building, periodically transferring the IWT, the OWT and the SA to an optimization system which is operative to analyze the real-time data in coordination with the mathematical model by assigning at least three selected values in a range surrounding and including the current values of each of the IWT, the OWT and the SA and calculating the efficiency profile of the components of the heating/cooling system for each of the selected values, then cooperatively optimizing and selecting those values calculated to provide the highest efficiency profile, then periodically resetting the system values to those selected by the optimization system.
185 Citations
23 Claims
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1. A building heating/cooling system energy optimization method for a building having at least one air handling unit (AHU) and a heating/cooling system including a plurality of components comprising at least a condenser unit, a heating unit and a cooling unit, said method comprising the steps:
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providing a mathematical model of the heating/cooling system including at least an efficiency profile of the components of the heating/cooling system; obtaining real-time weather information including at least outside temperature and outside humidity; reading an input water temperature (IWT) of said heating/cooling system, an output water temperature (OWT) of said heating/cooling system, a supply air temperature (SA) output to the building via the at least one air handling unit and an ambient air temperature (AA) within the building; periodically transferring said real-time weather information, said IWT, said OWT, said SA and said AA, collectively real-time data, to an optimization engine, said optimization engine operative to analyze said real-time data in coordination with said mathematical model by assigning at least three selected values in a range surrounding and including current values of each of said IWT, said OWT and said SA for each of said IWT, said OWT and said SA and calculating the efficiency profile of the components of the heating/cooling system for each of said at least three selected values for each of said IWT, said OWT and said SA, then selecting those values calculated to provide a highest efficiency profile of the components of the heating/cooling system by cooperatively optimizing each of said IWT, said OWT and said SA; and periodically resetting each of said IWT, said OWT and said SA to said values selected by said optimization engine to generally maximize the efficiency profile of the components of the heating/cooling system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A building heating/cooling system energy optimization system for a building having at least one air handling unit (AHU) and a heating/cooling system including a plurality of components comprising at least a condenser unit, a heating unit and a cooling unit, said building heating/cooling system energy optimization system comprising:
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a mathematical model of said heating/cooling system including at least an efficiency profile of the components of the heating/cooling system; weather sensors for obtaining real-time weather information including at least outside temperature and outside humidity; temperature sensors operative to read an input water temperature (IWT) of said heating/cooling system , an output water temperature (OWT) of said heating/cooling system, a supply air temperature (SA) output to the building via the at least one air handling unit and an ambient air temperature (AA) within the building; and an optimization engine operative to periodically obtain said real-time weather information, said IWT, said OWT, said SA and said AA, collectively real-time data, analyze said real-time data in coordination with said mathematical model by assigning at least three selected values in a range surrounding and including current values of each of said IWT, said OWT and said SA for each of said IWT, said OWT and said SA and calculating the efficiency profile of the components of the heating/cooling system for each of said at least three selected values for each of said IWT, said OWT and said SA, and then selecting those values calculated to provide a highest efficiency profile of the components of the heating/cooling system by cooperatively optimizing each of said IWT, said OWT and said SA; a controller operative to engage said heating/cooling system to periodically reset each of said IWT, said OWT and said SA to said values selected by said optimization engine to generally maximize the efficiency profile of the components of the heating/cooling system. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A building heating/cooling system energy optimization method for a building having at least one air handling unit (AHU) and a heating/cooling system including a plurality of components comprising at least a condenser unit, a heating unit and a cooling unit, said building heating/cooling system energy optimization method comprising the steps of:
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providing a mathematical model of the heating/cooling system including at least efficiency profiles of the components of the heating/cooling system; obtaining real-time weather information including at least outside temperature and outside humidity; reading operational variables of the heating/cooling system components; periodically transferring said real-time weather information and said operational variables to an optimization engine, said optimization engine is operable to; a. select input parameters from said operational variables, b. analyze said real-time weather information and said input parameters in coordination with said mathematical model by assigning at least three selected values in a range surrounding and including current values of each of said input parameters and calculating the efficiency profile of the components of the heating/cooling system for each of said at least three selected values for each of said input parameters, c. select those values calculated to provide a highest efficiency profile of the components of the heating/cooling system by cooperatively optimizing each of said input parameters; and periodically resetting each of said input parameters to said values selected by said optimization engine to generally maximize the efficiency profile of the components of the heating/cooling system. - View Dependent Claims (19, 20, 21, 22, 23)
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Specification