An operation parameter recommending method includes acquiring current application scenario information of a target air conditioner, comparing the current application scenario information with an application scenario information database to select at least one matched application scenario which matches a current application scenario of the target air conditioner associated with the current application scenario information of the target air conditioner, acquiring an air conditioner operation parameter under each of the at least one matched application scenario, acquiring a group-behavior recommended parameter based on the acquired air conditioner operation parameter, acquiring historical operation records of the target air conditioner through an acquisition server, acquiring an individual-behavior recommended parameter based on the historical operation records, generating a final recommended parameter based on the group-behavior recommended parameter and the individual-behavior recommended parameter, and providing the final recommended parameter to control the target air conditioner to operate according to the final recommended parameter.

A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

A method and system for intelligent demand response by a load controller device connected to a load is provided. Demand response events generated by utilities can generate energy conservation however they can provide demand subpeaks during the event and can impact user comfort. In order to improve the energy profile and user comfort one or more event parameters from the DR event are generated. One or more temperature setpoints of the load controller device are modified to provide smooth setpoint transition between temperature setpoints using the generated one or more event parameters to shape electricity demand of the load to reduce an expected demand subpeak during the DR event. The modified one or more temperature setpoints can be applied at an associated time to control the load.

The present disclosure provides a method and a device for adaptively regulating a static pressure of a ducted air conditioner, and a ducted air conditioner. The method includes: dividing the static pressure in an air duct into a preset number of sections; selecting the sections i and i+1, and detecting respectively the gears corresponding to the sections i and i+1, the rotating speeds R.sub.i and R.sub.i+1, and an actual working currents I.sub.i and I.sub.i+1; and judging whether I.sub.i and I.sub.i+1 are within the normal current ranges respectively; and selecting the final section according to the judging result. With the method, the air duct conditioner may automatically select and determine a section according to actual installation environments, and may automatically determine an optimum section in which the ducted air conditioner works.

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.

An air-conditioning management device includes: a power consumption obtaining unit that obtains both individual air-conditioned area and overall power consumption amounts in one day; an overall excess coefficient calculation unit that calculates an overall excess coefficient on a monthly basis; an individual excess coefficient calculation unit that calculates individual excess coefficients each indicating a degree of excess from the individual target value on a monthly basis; an excess determination unit that determines whether the overall excess coefficient is larger than a set threshold value; an energy saving control setting unit that sets energy saving control conditions for the respective air-conditioned areas to provide high energy saving effects in descending order of the individual excess coefficients when the overall excess coefficient is determined to be larger than the set threshold value; and an operation control unit that performs energy saving operation of the air-conditioning apparatuses based on the energy saving control conditions.

A system includes a compressor, an indoor fan, a thermostat, an indoor fan controller, and a compressor controller. The thermostat provides first and second signals based on indoor loading. The fan controller operates the fan in low speed mode and the compressor controller operates the compressor in low capacity mode when only the first signal is asserted. The compressor controller automatically switches the compressor to high capacity mode if only the first signal remains asserted past the low capacity mode runtime. The fan controller operates the fan in high speed mode when the second signal is asserted while the first signal is still asserted. The compressor controller continues to operate the compressor in high capacity mode and the fan controller operates the fan in low speed mode after the second signal is de-asserted, until the first signal is de-asserted, at which point the fan and compressor are turned off.

An HVAC system includes an evaporator, a first sensor coupled to the evaporator at a first position, and a second sensor operably coupled to the evaporator at a second position. The first sensor monitors a first temperature of the refrigerant flowing in the evaporator at the first position, which is adjacent to the evaporator inlet. The second sensor monitors a second temperature of the refrigerant flowing in the evaporator at the second position, which is downstream from the first position. The system includes a controller, which receives a first signal corresponding to the first temperature and a second signal corresponding to the second temperature. The controller determines, based on the received signals, a temperature difference between the second temperature and the first temperature. In response to determining that the temperature difference is greater than a predefined threshold value, the controller determines that a loss of charge has occurred.

The present disclosure is for a continuous monitoring system for early failure detection in HVAC systems. Specifically, the inventive system monitors input and output temperatures, receives HVAC operation data, and computes Delta T values and other values. With the data that is received and computed, the inventive system computes statistical variance and automatically generates alerts which are transferred remotely.

A method includes determining control setpoints for equipment based on a time-varying availability of green energy and revenue from an incentive program of an energy provider. The method also includes controlling the equipment using the control setpoints.