Energy management for refrigeration systems
A system and method are provided including a system controller for a refrigeration or HVAC system having a compressor rack with a compressor and a condensing unit with a condenser fan. The system controller monitors and controls operation of the refrigeration or HVAC system. A rack controller monitors and controls operation of the compressor rack and determines compressor rack power consumption data. A condensing unit controller monitors and controls operation of the condensing unit and determines condensing unit power consumption data. The system controller receives the compressor rack power consumption data and the condensing unit power consumption data, determines a total power consumption of the refrigeration or HVAC system, determines a predicted power consumption or a benchmark power consumption for the refrigeration system, compares the total power consumption with the predicted power consumption or the benchmark power consumption, and generates an alert based on the comparison.
1. A system comprising:
a controller for a refrigeration or HVAC system having a compressor rack with at least one compressor,
wherein the controller is in communication with at least one sensor that monitors operational data of a compressor in the compressor rack,
wherein the controller is configured to:
receive the operational data of the compressor from the at least one sensor;
generate a benchmark polynomial and a benchmark hull for the compressor based on manufacturer rated performance data for the compressor;
determine at least one statistically significant variable and at least one statistically insignificant variable from the operational data of the compressor received from the at least one sensor, the statistically significant variable being affecting a rated performance of the compressor and the statistically insignificant variable not affecting the rated performance of the compressor;
optimize the benchmark polynomial by eliminating the at least one statistically insignificant variable from the benchmark polynomial;
perform a regression analysis on the operational data of the compressor received from the at least one sensor during operation of the compressor using the optimized benchmark polynomial and the benchmark hull to assess compressor performance by determining whether the operational data is within at least one standard deviation of the benchmark polynomial and whether the operational data is outside of the benchmark hull;
generate a warning regarding the compressor performance based on the regression analysis in response to determining at least one of (i) the operational data is outside of at least one standard deviation of the benchmark polynomial or (ii) the operational data is outside of the benchmark hull; and
communicate the warning over a network to a communication device of a user.
2. The system of claim 1 wherein the controller is further configured to detect outliers in the operational data of the compressor during operation of the compressor and to remove detected outliers having a largest deviation that is greater than a predetermined deviation.
3. The system of claim 1 wherein the controller is further configured to compare the benchmark polynomial and the benchmark hull with historical benchmark polynomial and hull data and to generate the warning regarding compressor performance based on the comparison of the benchmark polynomial and benchmark hull with the historical benchmark polynomial and hull data.
4. A method comprising:
controlling, with a controller, a refrigeration or HVAC system having a compressor rack with at least one compressor;
determining, with the controller, a supply voltage for the compressor based on a total power supplied to the compressor rack and a number of compressors in the compressor rack;
determining a current consumption of the compressor;
determining, with the controller, a power factor for the compressor based on the supply voltage, an amperage of the compressor, and a voltage rating of the compressor, the current rating being a predetermined current for normal operation of the compressor, and the voltage rating being a predetermined voltage for normal operation of the compressor;
determining, with the controller, a power consumption of the compressor based on the determined power factor, the supply voltage for the compressor, and the current consumption of the compressor;
comparing, with the controller, the determined power consumption of the compressor with a predicted power consumption of the compressor;
generating, with the controller, an alert based on the comparison; and
communicating, with the controller, the alert over a network to a communication device of a user.
5. A method comprising:
controlling, with a controller, a refrigeration or HVAC system having a compressor rack with at least one compressor;
communicating, with the controller, with at least one sensor that monitors operational data of a compressor in the compressor rack;
receiving, with the controller, the operational data from the at least one sensor;
generating, with the controller, a benchmark polynomial and a benchmark hull for the compressor based on manufacturer rated performance data for the compressor;
determining, with the controller, at least one statistically significant variable and at least one statistically insignificant variable from the operational data of the compressor received from the at least one sensor, the statistically significant variable affecting a rated performance of the compressor and the statistically insignificant variable not affecting the rated performance of the compressor;
optimizing, with the controller, the benchmark polynomial by eliminating the at least one statistically insignificant variable from the benchmark polynomial;
performing, with the controller, a regression analysis on the operational data of the compressor received from the at least one sensor during operation of the compressor using the optimized benchmark polynomial and the benchmark hull to assess compressor performance by determining whether the operational data is within at least one standard deviation of the benchmark polynomial and whether the operational data is outside of the benchmark hull; and
generating, with the controller, the warning regarding the compressor performance based on the regression analysis in response to determining at least one of (i) the operational data is outside of at least one standard deviation of the benchmark polynomial or (ii) the operational data is outside of the benchmark hull; and
communicating, with the controller, the warning over a network to a communication device of a user.
6. The method of claim 5 further comprising detecting, with the controller, outliers in the operational of the compressor during operation of the compressor and removing, with the controller, detected outliers having a largest deviation that is greater than a predetermined deviation.
7. The method of claim 5 further comprising comparing, with the controller, the benchmark polynomial and the benchmark hull with historical benchmark polynomial and hull data and generating, with the controller, the warning regarding compressor performance based on the comparison of the benchmark polynomial and benchmark hull with the historical benchmark polynomial and hull data.
8. A system comprising:
a controller for a refrigeration or HVAC system having a compressor rack with at least one compressor,
wherein the controller is configured to:
determine a supply voltage for the compressor based on a total power supplied to the compressor rack and a number of compressors in the compressor rack;
determine a current consumption of the compressor;
determine a power factor for the compressor based on the supply voltage, an amperage of the compressor, and a voltage rating of the compressor, the current rating being a predetermined current for normal operation of the compressor, and the voltage rating being a predetermined voltage for normal operation of the compressor;
determine the power consumption of the compressor based on the determined power factor, the supply voltage for the compressor, and the current consumption of the compressor;
compare the determined power consumption of the compressor with a predicted power consumption of the compressor;
generate an alert based on the comparison; and
communicate the alert over a network to a communication device of a user.