In a ventilation control device, a ventilation-path setting unit is configured to set a ventilation path based on environmental information acquired by an information acquisition unit. A ventilation-quantity setting unit is configured to set a ventilation quantity based on the environmental information and the ventilation path. The ventilation-path setting unit sets a plurality of candidate paths having priorities in descending order of expected ventilation effects. In the case where a first candidate path having the highest priority is identical with a previously set ventilation path, the ventilation-path setting unit sets the first candidate path as the ventilation path, when a difference value between a room temperature previously acquired and a room temperature presently acquired is equal to or more than a threshold. The ventilation-path setting unit sets, as the ventilation path, a second candidate path having the second highest priority, when the difference value is less than the threshold.

An air handling unit includes a rain hood configured to receive an air flow from an external environment surrounding the rain hood, and a sensor disposed within the rain hood and configured to monitor air flow parameters indicative of a flow rate of the air flow.

An integrated system and method measures building characteristics and user behavior to provide real-time and forecasted utility usages and costs. The system gathers current and historical heating and cooling load data, compares the data with current and historical weather data and a building system set point, and calculates the heating or cooling load needed for the building based on the user's call for heat or cooling and the ambient environmental conditions. The system additionally analyzes individual device usage using usage signatures and user inputted tracking to create a comprehensive real-time and forecast of utility usages with the estimated costs. Through history of selections with usage changes corresponding to user input of individual devices, the system will be able to learn various devices' usage. The system then creates a comprehensive, real-time forecast of utility costs including the foregoing characteristics.

This air conditioner unit comprises a heat exchanger, but does not comprise any device that forcibly passes air to the heat exchanger. The heat exchanger can be installed in a partition part that demarcates a target space from areas outside of the target space, and is configured such that an airflow in contact with the heat exchanger can pass through. The heat exchanger is configured so that a fluid can flow through the interior thereof. Due to a fluid having a temperature different from the outside air temperature flowing through the heat exchanger, the temperature of the airflow flowing from outside of the target space into the target space is changed, and the air inside the target space is conditioned by the airflow of which the temperature was changed.

Systems and methods for controlling building equipment based on an indoor air quality (IAQ) ventilation analysis of a building. One system includes a controller including memory and one or more processors configured to continuously collect IAQ data from one or more sensors within the building, estimate a plurality of outdoor airflow rates for an area of the building during a plurality of transient periods using the IAQ data as input, generate a time series outdoor airflow rate includes the plurality of estimated outdoor airflow rates, and modify a control strategy for the area of the building based on the time series outdoor airflow rate and a ventilation schedule for the area of the building.

The present disclosure discloses an air conditioner driving device, and the air conditioner driving device comprises a sensing unit and a processing unit, wherein the sensing unit at least comprises a microwave sensing module; the sensing unit is at least used for sensing whether any human activity exists within the action range based on microwave sensing according to a certain microwave sensing cycle, and periodically outputting a sensing signal to the processing unit; and the processing unit is used for processing the sensing signal, so that the driving device can adaptively control the turn-on and turn-off of the air conditioner and adaptively regulate the working power of the air conditioner. Based on this, a dynamic intelligent air conditioner driving device without a user's turn-on and turn-off action and based on environmental state sensing is realized.

A heating, ventilation, air conditioning, and refrigeration (HVACR) system includes an array of packaged units; and a controller to obtain an operating condition of the array of packaged units, derive the operating condition to construct an operating pattern, select one or more packaged units to be adjusted to increase efficiency of the array of packaged units based on the operating pattern, and to adjust operation of the one or more packaged units selected by the controller.

A controller for an economizer that provides outdoor air to a conditioned space. The controller includes an error calculator configured determine an indoor air quality (IAQ) setpoint error based on an actual IAQ and an IAQ setpoint, an outdoor air flow (OAF) setpoint adjuster configured to determine an adjusted OAF setpoint based on at least one of the IAQ setpoint error, an initial OAF setpoint, and an OAF setpoint upper limit, and a proportional variable deadband controller (PVDC) configured to adjust an operational deadband of the economizer and adjust an operation of at least one of an actuator and a damper of the economizer to achieve the adjusted OAF based on at least one of an actual OAF and the adjusted OAF setpoint. Achieving the adjusted OAF drives the actual IAQ to the IAQ setpoint.

A computer-implemented method for estimating the energy required for temperature control in a building. The method comprising a training phase on data from a plurality of buildings, adaptation phase to a target building, and estimation phase. The training phase comprises calculating a parameter k which summarizes the thermal characteristics of the building. Subsequently a computer based grey box model is trained with input data comprising the parameter k, indoor conditions, outdoor conditions, and energy consumed for each building. In the adaptation phase similar process is utilized for calculating the target building's the characteristic parameter k. In the estimating phase, the energy for temperature control is estimated based on the parameter k of the target building, indoor conditions, and outdoor conditions by using the computer trained mathematical model of the training phase. The temperature values used may comprise: measured or settings of indoor temperature, and measured or forecasted outdoor temperature.

The present disclosure provides a heating, ventilation, and air conditioning (HVAC) system including interconnected artificial neural networks trained for respective subsystems that are required for building temperature control. The HVAC system includes: an air conditioning sensor units installed in or outside a building to detect environmental data; an HVAC device configured to supply thermal energy into an inner space of the building using input power; and a predictive controller configured to generate operational data based on the environmental data and control the HVAC device by adjusting the input power.