An HVAC system within a building including an HVAC device having an air filter, a number of sensors, and a control device. The control device has a processor that is configured to determine a current air quality metric based on air quality measurements received by the sensor. The control device is further configured to calculate an average air quality metric based on the current air quality metric and a set of previous air quality metrics. The control device is further configured to store the average air quality metric. The control device is further configured to generate an air filter type recommendation based on the average air quality metric.

A system is disclosed to obtain energy consumption data for an energy monitored property. An identification module is configured to identify, based on first actual energy usage data for the energy-monitored property, one or more daily, weekly, or monthly future time periods when energy consumption is not likely to occur or is likely minimal within the energy-monitored property. A calibration module is configured to transmit electrical signals to open and close at least one of the gas valve and an AC unit switch in accordance with the calibration schedule during a period of time within the one or more daily, weekly, or monthly future periods of time. A computational module may be utilized to calculate a first computed flow rate for the at least one of the gas valve and the AC unit switch. A method and computer program product related to the foregoing system are also disclosed.

HVAC load can be shifted to change indoor temperature. A time series change in HVAC load data is used as input modified scenario values that represent an HVAC load shape. The HVAC load shape is selected to meet desired energy savings goals, such as reducing or flattening peak energy consumption load to reduce demand charges, moving HVAC consumption to take advantage of lower utility rates, or moving HVAC consumption to match PV production. Time series change in indoor temperature data can be calculated using only inputs of time series change in the time series HVAC load data combined with thermal mass, thermal conductivity, and HVAC efficiency. The approach is applicable for both winter and summer and can be applied when the building has an on-site renewable power system.

The cooling systems and methods of the present disclosure involve modular fluid coolers and chillers configured for optimal power and water use based on environmental conditions and client requirements. The fluid coolers include wet media, a first fluid circuit for distributing fluid across wet media, an air to fluid heat exchanger, and an air to refrigerant heat exchanger. The chillers, which are fluidly coupled to the fluid coolers via pipe cages, include a second fluid circuit in fluid communication with the air to fluid heat exchanger and a refrigerant circuit in thermal communication with the second fluid circuit and in fluid communication with the air to refrigerant heat exchanger. Pipe cages are coupled together to allow for expansion of the cooling system when additional cooling capacity is needed. The fluid coolers and chillers are configured to selectively operate in wet or dry free cooling mode, partial free cooling mode, or mechanical cooling mode.

A device is configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system. The device is further configured to receive a temperature value and determine a load demand value based on the temperature value. The device is further configured to determine the load demand value is greater than the load capacity value for the HVAC system and, in response, identify a first setting from among a first plurality of settings for the HVAC system. By default, access to the first plurality of setting for the HVAC system is restricted for a user. The device is further configured to receive a response approving permission to operate the HVAC system using the first setting to the user and send a trigger signal to an HVAC controller to operate the one or more components of the HVAC system using the first setting.

Disclosed herein are a system, method, and non-transitory computer readable medium for operating an energy plant. In one aspect, a system determines a ratio of flow rates between devices of the energy plant connected in parallel with each other in a branch. The system generates a candidate set of operating parameters of the devices according to the ratio of flow rates. The system predicts thermodynamic states of the devices operating according to the candidate set of operating parameters. The system determines whether the predicted thermodynamic states satisfy constraints of the devices. The system determines whether the predicted thermodynamic states satisfy a target thermal energy load of the branch based on the ratio of the flow rates. The system operates the energy plant according to the candidate set of operating parameters, in response to determining that the predicted thermodynamic states satisfy the constraints and the target thermal energy load.

An air conditioning capacity presenting system presents a capacity of an air conditioning apparatus including at least one outdoor unit, at least one indoor unit, and a connection pipe that connects the outdoor unit and the indoor unit. The air conditioning capacity presenting system includes first acquisition unit, a measurement unit, a second acquisition unit, and a capacity calculating unit. The first acquisition unit acquires outdoor unit capacity information, which is a rated capacity of the outdoor unit or information related to the rated capacity. The measurement unit measures power consumption of the outdoor unit. The second acquisition unit acquires an outside air temperature, which is a temperature of air around the outdoor unit. The capacity calculating unit obtains a calculation value of the capacity of the air conditioning apparatus based on the outdoor unit capacity information, the power consumption, and the outside air temperature.

An HVAC system within a building including an HVAC device having an air filter, a number of sensors, and a control device. The control device has a processor that is configured to determine a current air quality metric based on air quality measurements received by the sensor. The control device is further configured to calculate an average air quality metric based on the current air quality metric and a set of previous air quality metrics. The control device is further configured to store the average air quality metric. The control device is further configured to generate an air filter type recommendation based on the average air quality metric.

An air conditioner unit may include a housing, an outdoor heat exchanger, an indoor heat exchanger, a compressor, a sterilization light assembly, and a controller. The housing may define an indoor portion and an outdoor portion. The housing may further define an exhaust outlet downstream from the indoor portion to exhaust air therefrom. The sterilization light assembly may be disposed within the indoor portion. The controller may be in operable communication with the indoor fan and the sterilization light assembly. The controller may be configured to initiate a sterilizing operation. The sterilizing operation may include directing activation of the indoor fan to motivate air through the indoor portion, detecting activation of the indoor fan to motivate air through the indoor portion, and directing activation of the sterilization light assembly to transmit an ultraviolet light emission within the indoor portion based on detected activation of the indoor fan.

Provided in the present application are a control system of an air conditioner and an air-conditioning device. The control system of the air conditioner comprises: a main machine control assembly receiving a feedback parameter of a main machine, to adjust, according to the feedback parameter, a water discharge temperature of the main machine; a water pump control assembly, and the water pump control assembly is in communication with the main machine control assembly, to adjust, according to a feedback parameter of the water pump, an operating parameter of a water pump; a cooling tower control assembly, and the cooling tower control assembly is connected to the water pump control assembly, to adjust, according to an environment parameter and a target water discharge temperature, the current water discharge temperature of a cooling tower; and a tail end control assembly.