The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.

Data including a power consumption amount and an ambient temperature of a heat exchanger that discharges heat to an outside of a cooling facility in an operation mode in which the facility is operated in an operation state that requires less power consumption than usual is extracted as degradation determination reference data before degradation determination, and data including the power consumption amount and the ambient temperature in the operation mode in which the cooling facility is operated in the operation state that requires less power consumption than usual is extracted as determination data, whereby the increase in the power consumption amount due to the influence of the disturbance that changes a temperature of an inside of a box-shaped housing can be excluded, and the degradation of the cooling facility can be correctly determined by grasping the increase in the power consumption amount due to aging degradation.

An HVAC controller provides control values to or more output ports of the HVAC controller. Operation of the HVAC controller is monitored for one or more irregularities. When one or more irregularities in the operation are identified, a hold mode is entered. The hold mode includes holding the one or more current control values on the one or more output ports of the HVAC controller until the one or more irregularities in the operation of the HVAC controller are corrected or a predetermined hold time expires, whichever occurs first. When the one or more irregularities in the operation of the HVAC controller are not corrected before the predetermined hold time expires, a back off mode is entered. The back off mode includes setting each of one or more control values on one or more output ports of the HVAC controller to a corresponding configurable back off value.

A system, method and apparatus for augmenting a building control system domain. A sensor network platform can be configured to collect data based on measurements from sensors outside of a legacy building control system domain, and to present information based on the collected data to a known interface supported by the legacy building control system. In one embodiment, the collected data can undergo customized processing by an operation center outside of the legacy building control system domain.

Architectures or techniques are presented that can prioritize operating a consumption device in a manner that is efficient in terms of consumption of a resource over satisfying a specified demand assigned to the consumption device. This re-prioritizing can be performed in response to a price of the resource exceeding a threshold.

A cascaded control system for coordinating and controlling carbon emissions associated with operating building equipment distributed across a plurality of subsystems includes a first controller configured to generate carbon emissions targets for each of a plurality of subsystems using a predictive control process that accounts for an aggregate carbon emissions of the plurality of subsystems predicted to result from the carbon emissions targets. The cascaded control system also includes a plurality of second controllers, each corresponding to one of the plurality of subsystems and configured to generate control decisions for building equipment of the corresponding subsystem that are predicted to cause the building equipment to achieve the carbon emissions targets for the corresponding subsystem; and operate the building equipment of the corresponding subsystem using the control decisions.

A decoupled ETP model processor is configured to store power consumption data retrieved from power systems; convert the power consumption data into power activated time cycles and power non-activated time cycles; derive a thermal resistance (R) parameter and a capacitance (C) parameter for a predetermined heat flow (Q) parameter at each of the outdoor temperatures; compare the converted power activated time cycles to the actual power activated time cycles; compare the converted power non-activated time cycles to the actual power non-activated time cycles; calculate a first improved resistance-capacitance-heat flow (RCQ) parameter set and a respective first outdoor temperature for the compared and converted power activated time cycles to the actual power activated time cycles; calculate the Q parameter at each outdoor temperature during the power activated time cycles; and calculate the R parameter and the C parameter at each outdoor temperature during the power non-activated time cycles.

A method of operating an HVAC system using a controller includes predicting a first predicted temperature of an enclosed space during an unoccupied time with the HVAC system off. The controller determines if the first predicted temperature is less than a set-point temperature. Responsive to a determination that the first predicted temperature is less than the set-point temperature, the controller predicts a second predicted temperature of the enclosed space if the HVAC system is operated for a first runtime. The controller determines if the second predicted temperature is less than the set-point temperature and, responsive to a determination that the second predicted temperature is not less than the set-point temperature, the controller operates the HVAC system for the first runtime.

Air purification and dehumidification apparatus includes a first cooler that cools air introduced through a first inlet, a first rotor that primarily adsorbs and absorbs VOCs and moisture contained in the air cooled by the first cooler, an air conditioning unit that cools or heats the air primarily purified and dehumidified by the first rotor, a blower that moves the air cooled or heated by the air conditioning unit, a second rotor that adsorbs and absorbs VOCs and moisture remaining in the air moved by the blower, a second cooler that re-cools the air secondarily purified and dehumidified by the second rotor, a first heating unit that heats air that is introduced through a second inlet and is then supplied to the first rotor, using sequentially solar energy and electric energy, and a third cooler that condenses air containing the VOCs and moisture that are released from the first rotor.

Systems, methods, and computer program products for staging chillers in a chiller group. Operational data is collected on chillers in a chiller group, and performance curves indicative of chiller efficiency generated for each chiller based on the operational data. During operation, a current thermal load and a current group efficiency is determined for the chiller group. Estimated group efficiencies are also determined for the chiller group for one or more scenarios in which one or more offline chillers are brought online, online chillers are taken offline, or both online chillers are taken offline and offline chillers are brought online. If the estimated efficiency of the chiller group is higher than the current efficiency for any of the scenarios, chillers in the chiller group are brought online or taken offline so that the chiller group operates in accordance with the most efficient scenario.