A system is configured to remotely determine characteristics of a local operating environment of an outdoor condenser unit. The system includes a detector configured to sample power consumption of the condenser unit to obtain a sampled power consumption time series. An analyzer receives the sampled time series of the detector and determines characteristics of a local operating environment of the condenser unit from the power consumption time series. The analyzer generates an output that includes information about the local operating environment.

A first comparison-period specifier specifies a first to-be-compared period in a pre-implementation period before implementation of an energy saving control. A second comparison-period specifier specifies as a second to-be-compared period a to-be-compared candidate period having the highest similarity level between: parameters in a first parameter comparison period including a first comparison period and a first period immediately before or after the first comparison period, and parameters in a second parameter comparison period including a to-be-compared candidate period and a second period immediately before or after the to-be-compared candidate period. An energy saving diagnoser diagnoses the level of energy saving derived from the implementation of an energy saving control based on a power consumption amount in the first to-be-compared period and a power consumption amount in the second to-be-compared period.

Computer-implemented systems and methods for estimating a replacement status of an HVAC air filter. Outdoor weather data (e.g., outdoor temperature information), is obtained. A Total Runtime Value of the HVAC system is determined based upon the obtained outdoor weather data. Finally, a replacement status of the air filter is estimated as a function of a comparison of the Total Runtime Value with a Baseline Value. By correlating air filter replacement status with an estimated runtime of the HVAC system, a credible predictor of air filter usage is provided. By estimating fan runtime based on easily-obtained outdoor weather data, the methods are readily implemented with any existing HVAC system and do not require installation of sensors or other mechanical or electrical components to the HVAC system.

The invention comprises a system for calculating a value for the effective thermal mass of a building. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system. One or more processors receive measurements of outside temperatures from at least one source other than the control system and compare the temperature measurements from the first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements obtained by said HVAC control system and said outside temperature measurements. The processors then calculate one or more rates of change in temperature at said first location.

An environmental control system for a building in a geographic location and having a heating, ventilation and air-conditioning (HVAC) system includes at least one computer-readable medium having instructions stored thereon that, when executed by at least one processing device in communication with the external application, enables the at least one processing device to receive weather data characterizing a weather forecast over a predetermined time period for the geographic location, receive free-cooling window data, determine, based on the weather data and free-cooling window data, an available free-cooling time window, and issue to the external application an executable command to the HVAC system to enter free-cooling mode during the available free-cooling time window.

A system for a plurality of thermostats each located in a different building in a neighborhood. Each thermostat includes a processing circuit configured to receive one or more assigned operating time slots from an analytics service and operate building equipment associated with the thermostat based on the one or more assigned operating time slots. The system further includes the analytics service. The analytics service includes a processing circuit configured to receive weather forecast data from a weather service and predict a period of time during which an energy usage peak will occur for the plurality of buildings based on the weather forecast data, determine the one or more operating time slots based on the period of time, assign the one or more operating time slots to each of the plurality of thermostats, and send the one or more assigned operating time slots to the plurality of thermostats.

An apparatus control system includes a metabolic amount measurement device measuring a metabolic amount, and an apparatus control device controlling a heating-cooling combination apparatus. A control content storage unit stores thermal sensations and control contents of the heating-cooling combination apparatus. The metabolic amount measured by the metabolic amount measurement device is inputted to an input unit. A metabolic amount storage unit stores a history of the metabolic amount inputted to the input unit before. A calculation unit calculates the thermal sensation using the metabolic amount inputted to the input unit. A correction unit corrects the thermal sensation calculated by the calculation unit using the history of the metabolic amount stored in the metabolic amount storage unit. An apparatus control unit controls the heating-cooling combination apparatus according to a control content stored in the control content storage unit in association with the thermal sensation corrected by the correction unit.

In an air-conditioning apparatus, an indoor unit and an outdoor unit are connected to each other by a refrigerant pipe through which refrigerant flows. The air-conditioning apparatus includes: a refrigerant detection unit that detects a leak of the refrigerant in the indoor unit; a notification unit that makes a notification indicating occurrence of the leak of the refrigerant; a controller that controls at least the notification unit; and a remote control unit configured to operate the indoor unit. When the refrigerant detection unit detects the leak of the refrigerant, the controller controls the notification unit to make in a first mode the notification indicating the occurrence of the leak of the refrigerant, and make the notification in a second mode different from the first mode after a predetermined time period elapses from time at which the notification in the first mode is made. Thus, since the notification of the refrigerant leak is made two steps, that is, in the first mode in a first step and in the second mode in a second step, it is possible to cause a user to pay more attention to the notifications, and thus cause the user to easily notice the notification. It is therefore possible to cause the user to sufficiently know the refrigerant leak.

An apparatus control system includes a skin temperature measurement device configured to measure a skin temperature, and an apparatus control device that controls a heating-cooling combination apparatus. In the apparatus control device, a storage unit stores a correspondence table (correspondence relationship) between skin temperatures and control contents of the heating-cooling combination apparatus. The apparatus control unit controls the heating-cooling combination apparatus according to a control content stored in the storage unit in association with a first skin temperature that is inputted to an input unit. Thereafter, if a second skin temperature that is newly inputted to the input unit is not included in a comfortable temperature range, the update unit updates the correspondence table stored in the storage unit. In this case, the update unit changes the control content in the correspondence table such that over-control or under-control according to the control content is reduced.

Heating and cooling systems at various geographical locations are controlled by a central energy management service unit to maintain comfortable indoor temperatures. In some weather conditions, people may intuitively prefer a slightly warmer or cooler indoor temperature. In systems equipped with environmental learning capabilities, an apparent outdoor temperature is determined based on the geographic location itself, the season at the geographic location, the forecasted actual temperature, and one or more seasonal weather factors such as wind velocity or humidity. The apparent temperature and a trained machine learning system are used to select an automated schedule for the geographic location to be directly transmitted to devices at the location. The automated schedule can vary from typical schedules by causing the heating and cooling systems to maintain a temperature that is slightly warmer or cooler than typical indoor temperatures.