Abstract: A method for analytics in heating, ventilation, and air conditioning (HVAC) is described. Operation of an air-handling unit in an HVAC system is measured, including fan speed, pressure, power input, and flow. The measurements are transmitted to a processor, which analyzes the operation of the air-handling unit. The analysis includes optimizing a heuristic model of air handling in the HVAC system based on a combination of two or more of the fan speed, pressure, power input, or flow, and determining, based on the optimized heuristic model, a diversity from a fan flow set point and a fan designed maximum flow. A display presents an indication of a mismatch of a fan with a space based on the diversity.

Abstract: A method for analytics in heating, ventilation, and air conditioning (HVAC) is described. Operation of an air-handling unit in an HVAC system is measured, including fan speed, pressure, power input, and flow. The measurements are transmitted to a processor, which analyzes the operation of the air-handling unit. The analysis includes optimizing a heuristic model of air handling in the HVAC system based on a combination of two or more of the fan speed, pressure, power input, or flow, and determining, based on the optimized heuristic model, a diversity from a fan flow set point and a fan designed maximum flow. A display presents an indication of a mismatch of a fan with a space based on the diversity.

Abstract: Methods for modeling heating, ventilation, and air conditioning (HVAC) are described. A heuristic model of air handling in a HVAC system is optimized by a server based on measurements from outdoor sensors, from building space sensors, plant sensors, and sensors for the air handling. Settings of the air handling in the HVAC system are determined by the server from the model as optimized and transmitted to the HVAC system. The heuristic model may be optimized by indicating a mismatch of a fan with a space based on a diversity from a fan flow set point and a fan designed maximum flow; identifying a rogue zone or a critical zone of air handling units based on a number of actuator re-positioning, box pressures, and box flow; and/or determining a coupling of a coupled zone operation with temperature, flow, or temperature and flow.

Abstract: Methods for modeling heating, ventilation, and air conditioning (HVAC) are described. A heuristic model of air handling in a HVAC system is optimized by a server based on measurements from outdoor sensors, from building space sensors, plant sensors, and sensors for the air handling. Settings of the air handling in the HVAC system are determined by the server from the model as optimized and transmitted to the HVAC system. The heuristic model may be optimized by indicating a mismatch of a fan with a space based on a diversity from a fan flow set point and a fan designed maximum flow; identifying a rogue zone or a critical zone of air handling units based on a number of actuator re-positioning, box pressures, and box flow; and/or determining a coupling of a coupled zone operation with temperature, flow, or temperature and flow.

Abstract: Using information available from the controller or controllers of air-handling units, a remote server uses a heuristic model to determine settings for the air-handling units. Rather than just using rules for each air-handling unit, a model-based solution determines the settings. The model is used to optimize operation of the air distribution. In additional or alternative embodiments, measurements are gathered and used to derive analytics. The measurements may include data not otherwise used for rule-based control of the air handling unit. The analytics are used to predict needs, as inputs to the modeling, identify problems, and/or identify opportunities.

Abstract: Using information available from the controller or controllers of air-handling units, a remote server uses a heuristic model to determine settings for the air-handling units. Rather than just using rules for each air-handling unit, a model-based solution determines the settings. The model is used to optimize operation of the air distribution. In additional or alternative embodiments, measurements are gathered and used to derive analytics. The measurements may include data not otherwise used for rule-based control of the air handling unit. The analytics are used to predict needs, as inputs to the modeling, identify problems, and/or identify opportunities.

Abstract: A multipurpose aquatic float has a molded shell of plastic resin. The float has a generally rectangular base part with a set of integral mounting flanges on its top surface. The mounting flanges are arranged to provide a longitudinal center channel for accepting a framing member of standard dimension lumber. Transverse flanges support the longitudinal flanges and provide a cross channel at the center and end notches to accommodate cross bracing in the frame on which the float is mounted. The longitudinal flanges have molded-in fastener receivers for receiving fasteners that secure the float in place on the framework of the support structure.