790results about "Control inputs involving environmental factors" patented technology

The present invention is related to the field of heating, ventilation and air conditioning (HVAC). More particularly, the present invention is related to methods and systems for controlled heating and cooling in order to reduce costs and the carbon footprint of said heating and cooling by optimizing the use of fresh air ventilation. The present invention is directed to mathematical algorithms incorporated into a controller and a method of determining control signals that are dependent on said mathematical algorithms and user programming that integrates information from multiple sensors, thermostats as well as weather information. Used in any home or building, the controller controls heating, cooling and ventilation systems in order to reduce costs and the carbon footprint of said heating and cooling by optimizing the use of fresh air ventilation. The controller works with typical HVAC systems generally in buildings and homes. The Smart-Stat algorithms are programmed into the controller and enable the controller to identify user-determined set-points alongside data from one or multiple internal temperature sensors. The user-determined set-points are also linked to time of day and day of week in a manner typical for typical thermostat devices available today. In such typical thermostat devices the controller will call for cooling or heating depending on the set points and conditions determined by the sensors in the building. The present invention is capable of interrupting the call for cooling or heating depending on whether the mathematical algorithms identify suitable outside weather conditions that permit the use of outside air cooling or outside air heating. Thus the call for heating or cooling can be redirected to call for ventilation instead of heating or cooling.

Embodiments of the invention comprise systems and methods for using the geographic location of networked consumer electronics devices as indications of occupancy of a structure for purposes of automatically adjusting the temperature setpoint on a thermostatic HVAC control. At least one thermostat is located inside a structure and is used to control an HVAC system in the structure. At least one mobile electronic device is used to indicate the state of occupancy of the structure. The state of occupancy is used to alter the setpoint on the thermostatic HVAC control to reduce unneeded conditioning of unoccupied spaces.

Systems and methods for modeling the behavior of an enclosure for use by a control system of an HVAC system are described. A model for the enclosure that describes the behavior of the enclosure for use by the control system is updated based on a weather forecast data. The weather forecast data can include predictions more than 24 hours in the future, and can include predictions such as temperature, humidity and / or dew point, solar output, precipitation. The model for the enclosure can also be updated based on additional information and data such as historical weather data such as temperature, humidity, wind, solar output and precipitation, occupancy data, such as predicted and / or detected occupancy data, calendar data, and data from the one or more weather condition sensors that sense current parameters such as temperature, humidity, wind, precipitation, and / or solar output. The model for the enclosure can be updated based also on an enclosure model stored in a database, and / or on enclosure information from a user. The model can be updated based on active testing of the enclosure which can be performed automatically or in response to user input. The testing can include heating and / or cooling the enclosure at times when the enclosure is not likely to be occupied.

The invention comprises systems and methods for evaluating changes in the operational efficiency of an HVAC system over time. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system, and status of said HVAC system. One or more processors receives measurements of outside temperatures from at least one source other than said HVAC system and compares said temperature measurements from said first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements.

Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat acquires various information about the residence, such as a thermal retention characteristic of the residence, a capacity of an HVAC associated with the residence to cool or heat the residence, a likelihood of the residence being occupied, a forecasted weather, a real-time weather, and a real-time occupancy. Such information is used to manage the energy consumption of the structure during a demand-response event.

A method for controlling temperature in a thermal zone within a building, comprising: using a processor, receiving a desired temperature range for the thermal zone; determining a forecast ambient temperature value for an external surface of the building proximate the thermal zone; using a predictive model for the building, determining set points for a heating, ventilating, and air conditioning (“HVAC”) system associated with the thermal zone that minimize energy use by the building; the desired temperature range and the forecast ambient temperature value being inputs to the predictive model; the predictive model being trained using respective historical measured value data for at least one of the inputs; and, controlling the HVAC system with the set points to maintain an actual temperature value of the thermal zone within the desired temperature range for the thermal zone.

Methods, systems and computer program products are provided for controlling a climate in a building. Sensed data is received at a local processor in the building. The sensed data is associated with the climate in the building, weather outside the building and / or occupants of the building. The received sensed data is compared at the local processor with corresponding predictive data associated with the climate in the building, weather outside the building and / or occupants of the building. One or more parameters associated with the climate of the building is adjusted at the local processor based on a result of the comparison of the received sensed data and the predictive data.

A load control system for a building having a lighting load, a window, and a heating and cooling system comprises a lighting control device for controlling the amount of power delivered to the lighting load, a daylight control device (such as a motorized window treatment) for adjusting the amount of natural light to be admitted through a window, and a controller for adjusting a setpoint temperature of the heating and cooling system to thus control a present temperature in the building. In response to receiving a demand response command, the controller controls the lighting control device, the daylight control device, and the heating and cooling system so as to decrease a total power consumption of the load control system. The load control system may comprise a controllable switching device for disconnecting power to or disconnecting the control lines to one or more components of the heating and cooling system.

Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat acquires various information about the residence, such as a thermal retention characteristic of the residence, a capacity of an HVAC associated with the residence to cool or heat the residence, a likelihood of the residence being occupied, a forecasted weather, a real-time weather, and a real-time occupancy. Such information is used to manage the energy consumption of the structure during a demand-response event.

An operation management apparatus includes an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction, and an operation planning unit configured to prepare an air conditioning heat source operation plan, and determines a purchased power and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

Disclosed is a photometer that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building's automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.

A method for logging data from an HVAC system comprises the steps of: collecting, within a thermostat, a plurality of data elements corresponding to a current time, at least one user setting, at least one HVAC system state, and at least one environmental measurement; correlating, within the thermostat, the collected data elements according to the current time; and storing, within the thermostat, the collected data elements. The method may further comprise the steps of: transmitting the stored data elements from the thermostat to an external device; and analyzing, within the external device, the transmitted data to determine energy savings. The data may be transmitted from the thermostat when the thermostat receives a request from the external device. The data may be transmitted from the thermostat to the external device over a communication link comprising one of a hard-wired communication link or a radio frequency communication link.

A thermostat includes a front housing, a rear housing interoperably coupled to the front housing, at least one sensor integrated with the front housing, a display integrated with the front housing, and processing circuitry interoperably coupled to the at least one sensor and the display. The processing circuitry is configured to periodically activate the at least one sensor, receive data from the at least one sensor and determine, from the received data, whether movement has occurred. Responsive to a determination that the movement has occurred, determine whether the movement is by a human and responsive to a determination that the movement was not by the human, adjust display attributes.

A system and method for cooling and heating of buildings consisting of an integrated assembly of devices, including a variable speed air handler, hot water heating coil, outside air damper, controller, and optional compressor-based air conditioner. During summer the system utilizes nighttime outside air for cooling and uses air temperature predictions to provide information about optimal control settings and to maintain comfort. During winter the system varies airflow with heating demand and ventilates with outside air to maintain indoor air quality.

A wall-mountable temperature control device having a vertically-arranged temperature adjustment actuator for adjusting a setpoint temperature of a temperature control system to thus control a present temperature in a building, a room temperature visual display for displaying a visual representation of the present temperature of the building, and a setpoint temperature visual display for displaying a visual representation of the setpoint temperature. The room and setpoint temperature visual displays each comprising a linear array of light-emitting diodes arranged parallel to the temperature adjustment actuator and controlled such that one of the light-emitting diodes of the setpoint temperature visual display is illuminated to display the setpoint temperature in response to the actuations of the temperature adjustment actuator and one of the light-emitting diodes of the room temperature visual display is illuminated to display the present temperature.

A single controller interface (Smart-Stat) integrates the control of heating or cooling in buildings by simultaneously controlling Heating, Ventilation and Air Conditioning (HVAC) systems in concert with separate fresh air ventilation (FAV) systems. The Smart-Stat reduces costs and the carbon footprint of typical HVAC systems by optimizing the use of FAV. User-programmable set-points are incorporated with time-of-day and day-of-week as well as data from multiple sensors, thermostats and weather information. Mathematical algorithms are used to determine control signals to the HVAC or FAV systems. The Smart-Stat integrates the two separate systems into a single system that is able to direct the call for cooling or heating to the HVAC or FAV systems, depending on appropriate outside weather conditions. Any building can replace its existing HVAC system controller with the Smart-Stat controller and incorporate a FAV system to create a single integrated HVAC and FAV system.

A load control system for a building having a lighting load, a window, and a heating and cooling system comprises a lighting control device, a daylight control device, and a temperature control device operable to be controlled so as to decrease a total power consumption of the load control system in an energy-savings mode. The energy-savings mode can be manually overridden in response to actuation of the actuator of an input control device, such that the load control system enters a manual mode for manually adjusting the loads controlled by the lighting control device, the daylight control device, and the temperature control device. The load control system is operable to automatically return to the energy-savings mode at a time after the load control system entered the manual mode.

A clogged filter detection system has an optical transmitter (32) aligned to pass light through an air filter (14) of an HVAC air flow plenum, a receiver (34) including a sensor and positioned to receive the transmitted light (48) directly or from a reflector (42), a processing assembly (35) receiving signals from the sensor and communicating a visual (104) or audible (106) indication when an accumulated level of obscuration exceeds a predetermined level and a component support structure. The support structure uses a “U” or “L” shaped bracket (60,63) attached to peripheral structure of a filter receptacle frame (12) and one or more side plates (24,26) of the bracket are connected to an arm (74,76) on which components are carried. The transmitter (32) and receiver (34) may be located on opposite sides of the filter (14) or on the same side, with a retroreflector (46) on the other side. The processing assembly includes a microprocessor (94) and related devices. Measures are also provided for counteracting the presence of fluffy material near the filter, for sensitivity control of sensors and for an aural signal device activated at a predetermined time after a visual indication.

The invention is a web enabled building temperature control appliance that receives data from the national weather service or from any other suitable source. This data consists of current temperature and pressure as well as forecasted temperature fluctuations. The building temperature control appliance would have a constant request / response process by using a Simple Object Access Protocol (SOAP) to gain access to the National Digital Forecast Database or other such weather forecast database. The building temperature control appliance would not turn on if the forecasted weather was within a zone of comfort chosen by the users. The zone of comfort is the band of temperature within which a person feels comfortable. This band of temperature is usually between 66 and 74 degrees Fahrenheit. Rather than having the heat turn on in the morning to heat the home to a set temperature the building temperature control appliance would allow the sun and the ambient outside air heat the home. In areas where the nights are cold and days are hot the building temperature control appliance would not heat the home in the morning when the forecast was for temperature hotter than the zone of comfort. There are many similar scenarios where the building temperature control appliance would act differently than a commonly known thermostat based upon information about the forecasted weather.

A system and method for cooling and heating of buildings comprising an integrated assembly of devices, including a variable speed air handler, hot water heating coil, outside air damper, controller, and optional compressor-based air conditioner. During the summer the system utilizes nighttime outside air for cooling and uses air temperature predictions to provide information about optimal control settings and to maintain comfort. During the winter the system varies airflow with heating demand and ventilates with outside air to maintain indoor air quality.

Disclosed is an efficient refrigeration apparatus that provides refrigerant based energy storage and cooling. When connected to a condensing unit, the system has the ability to store energy capacity during one time period and provide cooling from the stored energy during a second time period. The system requires minimal energy to operate during either time period, and only a fraction of the energy required to operate the system during the first time period is required to operate the system during the second time period using an optional refrigerant pump.

A method for nighttime pre-cooling of a building comprising inputting one or more user settings, lowering the indoor temperature reading of the building during nighttime by operating an outside air ventilation system followed, if necessary, by a vapor compression cooling system. The method provides for nighttime pre-cooling of a building that maintains indoor temperatures within a comfort range based on the user input settings, calculated operational settings, and predictions of indoor and outdoor temperature trends for a future period of time such as the next day.

This invention relates to a method and controller (1) for optimising energy consumption in a building. More specifically, the present invention describes a method and controller (1) for use in a building having a building management system (BMS) (3). Typically, the BMS (3) has sensors distributed throughout the building to determine the environmental conditions in the building and the BMS controls a heating / cooling system of the building.

A thermostat may include a housing, a user interface, temperature sensors providing temperature sensor measurements, and a processing system configured to control an HVAC system based on a comparison of a determined ambient temperature and a setpoint temperature. The thermostat may (i) determine time intervals in which direct sunlight is incident on the thermostat; (ii) during time intervals in which direct sunlight is not incident on the thermostat, process the temperature sensor measurements according to a first ambient temperature determination algorithm to compute the determined ambient temperature; and (iii) during time intervals in which it is determined that direct sunlight is incident on the thermostat, process the temperature sensor measurements according to a second ambient temperature determination algorithm to compute the determined ambient temperature that compensates for a heating of the thermostat caused by the direct sunlight.

A thermal behavior model of a building may be constructed based on time series data. Based on the constructed thermal behavior model, forecasted zone temperature and energy usage for a next control time period may be predicted. An objective function may be constructed based on at least a dynamically priced grid energy cost, occupant comfort matrix, and one or more of: energy storage system cost and associated operational cost, and energy generation system cost and associated green house emission cost and associated operational cost. Constraints may be constructed based on at least the forecasted zone temperature values and energy usage values for the next control time period. A control profile of the HVAC system and sourcing decision of energy load of the HVAC system may be determined simultaneously based on the objective function and the plurality of constraints.

A method of controlling energy consumption in a building includes receiving occupancy data including at least one of occupant request data and occupant schedule data, receiving weather data including at least one of current weather measurement data and weather forecast data, generating an output control signal based on the occupancy data and the weather data, and transmitting the output control signal to a building automation system (BAS) of the building. The occupant request data includes a current request, and the occupant schedule data includes a predicted occupant schedule. The output control signal adjusts a building control device in a zone in the building.