An integrated energy optimizer having an edge side and a cloud side. The edge side may incorporate an energy optimizer, a building management system connected to the energy optimizer, a controller connected to the building management system, and equipment connected to the controller. The cloud side may have a cloud connected to the energy optimizer and to the building management system, and a user interface connected to the cloud. Data from the field sensor may go to the optimizer and the building management system. The data may be processed at the optimizer and the building management system for proper settings at the building management system.

An integrated energy optimizer having an edge side and a cloud side. The edge side may incorporate an energy optimizer, a building management system connected to the energy optimizer, a controller connected to the building management system, and equipment connected to the controller. The cloud side may have a cloud connected to the energy optimizer and to the building management system, and a user interface connected to the cloud. Data from the field sensor may go to the optimizer and the building management system. The data may be processed at the optimizer and the building management system for proper settings at the building management system.

A HVAC controller includes a housing and one or more heat-generating components contained within the housing. The heat-generating components cause a temperature inside the housing to exceed a temperature outside the housing. The controller includes a temperature sensor configured to measure the temperature inside the housing and a controller event detector configured to detect, for at least one of the heat-generating components, a controller event that generates heat inside the housing. The controller further includes a temperature compensation module configured to identify a steady-state temperature gain associated with the detected controller event, to calculate a temperature offset using a summation of the steady-state temperature gain, to determine the temperature of the building zone outside the housing by subtracting the temperature offset from the temperature measured inside the housing, and to store the temperature offset.

A parameter estimation apparatus of an embodiment of the present invention is provided with a model reduction processor and a parameter estimator. The model reduction processor generates reduced order models by reducing order of a simulation model on the basis of measurement data sets and conditions for model order reduction possibility. The parameter estimator estimates values of parameters of the reduced order models on the basis of the reduced order models and the measurement data sets corresponding to the reduced order models. Further, after estimating a first value for a first parameter of a first reduced order model based on a first measurement data set, the parameter estimator applies the first value to the first parameter of a second reduced order model based on a second measurement data set.

A parameter estimation apparatus of an embodiment of the present invention is provided with a model reduction processor and a parameter estimator. The model reduction processor generates reduced order models by reducing order of a simulation model on the basis of measurement data sets and conditions for model order reduction possibility. The parameter estimator estimates values of parameters of the reduced order models on the basis of the reduced order models and the measurement data sets corresponding to the reduced order models. Further, after estimating a first value for a first parameter of a first reduced order model based on a first measurement data set, the parameter estimator applies the first value to the first parameter of a second reduced order model based on a second measurement data set.

Providing a refrigerant circuit apparatus evaluation system, which, when a plurality of refrigerant circuit apparatuses is installed, may accurately determine whether a heat source unit of each refrigerant circuit apparatus adversely affects the operation of a different refrigerant circuit apparatus. A refrigerant circuit apparatus evaluation system includes memory and processing circuitry. The processing circuitry acquires operation data on a first air-conditioning apparatus. The first air-conditioning apparatus includes a first heat source unit. The processing circuitry determines whether an operation of a second heat source unit different from the first heat source unit has an adverse effect on an operation of the first heat source unit based on the operation data on the first air-conditioning apparatus acquired by the processing circuitry when the first air-conditioning apparatus and a second air-conditioning apparatus including the second heat source unit are simultaneously operating.

A server and a controlling method of a server are provided. The server includes a communication interface, a memory configured to store priorities of each of a plurality of spaces, and a processor configured to control a plurality of air conditioners arranged in the plurality of spaces, and the processor may, based on a total power usage of the plurality of air conditioners exceeding a first threshold value, control the plurality of air conditioners to operate in a power peak control mode to reduce the total power usage, and based on the total power usage being less than a second threshold value while operating in the power peak control mode, control the plurality of air conditioners to sequentially switch to a general mode according to the priority.

A server and a controlling method of a server are provided. The server includes a communication interface, a memory configured to store priorities of each of a plurality of spaces, and a processor configured to control a plurality of air conditioners arranged in the plurality of spaces, and the processor may, based on a total power usage of the plurality of air conditioners exceeding a first threshold value, control the plurality of air conditioners to operate in a power peak control mode to reduce the total power usage, and based on the total power usage being less than a second threshold value while operating in the power peak control mode, control the plurality of air conditioners to sequentially switch to a general mode according to the priority.

A controller for controlling a vapor compression system is provided. The controller is configured to control an operation of the VCS with different combinations of setpoints for different actuators of the VCS to estimate a cost of operation of the VCS for each of the different combinations of setpoints, and compute, using a Bayesian optimization of the combinations of setpoints and their corresponding estimated costs of operation, a probabilistic surrogate model, wherein the probabilistic surrogate model defines at least first two order moments of the cost of operation in the probabilistic mapping. The controller is further configured to select an optimal combination of setpoints having the largest likelihood of being a global minimum at the surrogate model according to an acquisition function of the first two order moments of the cost of operation.

A controller for controlling a vapor compression system is provided. The controller is configured to control an operation of the VCS with different combinations of setpoints for different actuators of the VCS to estimate a cost of operation of the VCS for each of the different combinations of setpoints, and compute, using a Bayesian optimization of the combinations of setpoints and their corresponding estimated costs of operation, a probabilistic surrogate model, wherein the probabilistic surrogate model defines at least first two order moments of the cost of operation in the probabilistic mapping. The controller is further configured to select an optimal combination of setpoints having the largest likelihood of being a global minimum at the surrogate model according to an acquisition function of the first two order moments of the cost of operation.