University of California

The University of Arizona

Susan Lysecky

Frank Vahid

Jonathan Sprinkle

Xiao Qin

A system and method for data-driven HVAC optimization for outputting HVAC setpoints to a thermostat and determining a predicted HVAC usage of an HVAC unit based on the HVAC setpoints and an outdoor temperature. The system may further determine and output a predicted cost of the HVAC unit heating or cooling a structure based on the HVAC setpoints. The system may further select optimized HVAC setpoints such that the predicted cost is less than or equal to a user defined cost constraint and minimize deviation from user-preferred HVAC setpoints.

Data-driven HVAC optimization

Stand-alone modules or blocks for use in creating low-power sensor-based monitor/control systems. Each module performs a pre-defined function, and when included in a monitor/control network operates as a node on the network and automatically communicates with one or more connected nodes using a uni-directional packet-based protocol. One class of such predefined nodes communicates Boolean values, for example, with input sensor nodes detecting the presence or absence of environmental phenomena (e.g., motion, light, sound, water, button presses, etc.), intermediate nodes transforming those Boolean values using combinational or sequential logic, and output nodes converting the resulting Boolean values to environmental phenomena (e.g., beeping, light, electric relay activation, etc.) or to data for further processing by a computer. Another class of nodes communicates integer or number values.

Growing community of inventors

Tucson, AZ, United States of America

Susan Lysecky