A smart window controller includes circuitry configured to establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of a building. A lighting control strategy is implemented for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device. Automatic operations of one or more smart windows, cooling systems, or artificial lighting systems are controlled based on trigger points associated with the lighting control strategy, and a performance level of the lighting control strategy for the one or more building zones is determined based on one or more predetermined financial metrics.

A method comprises measuring a light intensity at a window; determining if the light intensity exceeds a cloudy-day threshold; operating in a sunlight penetration limiting mode to control the motorized window treatment to control the sunlight penetration distance in the space; enabling the sunlight penetration limiting mode if the light intensity is greater than the cloudy-day threshold; and disabling the sunlight penetration limiting mode if the total lighting intensity is less than the cloudy-day threshold. The cloudy-day threshold is maintained at a constant threshold if a calculated solar elevation angle is greater than a predetermined solar elevation angle, and the cloudy-day threshold varies with time if the calculated solar elevation angle is less than the predetermined solar elevation angle. The cloudy-day threshold is a function of the calculated solar elevation angle if the calculated solar elevation angle is less than the predetermined solar elevation angle.

A smart window controller includes circuitry configured to establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of a building. A lighting control strategy is implemented for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device. Automatic operations of one or more smart windows, cooling systems, or artificial lighting systems are controlled based on trigger points associated with the lighting control strategy, and a performance level of the lighting control strategy for the one or more building zones is determined based on one or more predetermined financial metrics.

A smart window controller includes circuitry configured to establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of a building. A lighting control strategy is implemented for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device. Automatic operations of one or more smart windows, cooling systems, or artificial lighting systems are controlled based on trigger points associated with the lighting control strategy, and a performance level of the lighting control strategy for the one or more building zones is determined based on one or more predetermined financial metrics.

A smart window controller includes circuitry configured to establish a representative model of one or more building zones based on occupancy, construction, lighting, or cooling properties of a building. A lighting control strategy is implemented for the one or more building zones based on the representative model or one or more user preferences input at a first user interface screen of an external device. Automatic operations of one or more smart windows, cooling systems, or artificial lighting systems are controlled based on trigger points associated with the lighting control strategy, and a performance level of the lighting control strategy for the one or more building zones is determined based on one or more predetermined financial metrics.

A self-powered dynamic photovoltaic sunshade system having sunshades constructed of lightweight ETFE panels covered with at least one thin film of photovoltaic cells. The sunshades track the sun by light detectors, and move against the sun from east to west to block direct rays. The ETFE fabric is stretched on a lightweight frame, which rotates vertically around its axis as a pivotal panel for maximum solar protection. Sunshades rotate to face the sun by day, and reset to a starting position at night. Each sunshade is rotated by a stepped electric motor, powered by thin film(s) of solar photovoltaic cells. Sunshades are suspended between an electric motor shaft and a lower hinge. The sunshades are designed to provide sustainable dynamic shading for building facades exposed to different sun angles, are self-powered, and can generate electric power for other building functions, such as lighting and fan ventilation inside a building.

A window covering in accordance with the invention includes a gearbox assembly comprising a controller incorporated into the gearbox, a motor incorporated into the gearbox, and an external sensor is provided to provide external inputs to the controller in the gearbox assembly. The external sensor may include a security sensor, a temperature sensor, a light sensor, an audio sensor, a smoke detector, a carbon monoxide detector, or a humidity sensor. The controller is further configured to relay sensor information to a remote HVAC system or security system.

A mobile device that is configured for wireless communication may be configured to operate as a remote control device in a lighting control system, controlling one or more lighting control devices of the lighting control system. The remote control device may control the light intensity in a space, for instance at a location of the remote control device, in response to an ambient light intensity measured at the remote control device. The remote control device may define a user interface for receiving an input that indicates a desired light intensity at the location. The remote control device may measure the ambient light intensity at the location via a light detector, compare the measured ambient light intensity to the desired light intensity, and cause the one or more lighting control devices to adjust the ambient light intensity at the remote control device until it agrees with the desired light intensity.

A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Roofing systems are disclosed herein. In particular, a method of making an asphaltic roofing product having an asphaltic substrate and at least one granule disposed thereon is disclosed herein.