Adaptive Control of Indoor Thermal Environments using Sensor Networks

摘要

The premise of this research is that a network of distributed Microsystems (also referred to as sensor/machine-to-machine (M2M) networks) can add significant value to building automation and monitoring systems by facilitating fine-grained and energy-efficient heating ventilation and air conditioning (HVAC), lighting, air quality control, and emergency relief operations. Opportunities exist to cost-effectively deploy such networks that are capable of providing detailed performance information, key to achieving the goals of the next generation of buildings. However, the value of Microsystems must be validated and demonstrated through research and field testing. In this research, we validate the usefulness of Microsystems through the development of novel sensor-based model reference adaptive control schemes to achieve improved thermal performance and energy effectiveness, with emphasis on actual performance predictability.