Project Title

Data-driven modeling, analytics, and optimization techniques to manage building thermal demand

Project Images

Image Caption:Smart Energy Informatics

Web Abstract

Given the ever increasing appetite for energy, producers and consumers must address a number of challenges:

·         reducing energy consumption by improving utilization and reducing wastage, and

·         flattening peak-demand through optimal demand-supply matching.

But, managing energy demands cannot be left to ad-hoc approaches that depend on human actions: Information and Communication Technologies have a key role to play, through:

·         occupancy and needs-based appliance usage, and

·         timely demand-response strategies, including appropriate scheduling and resource allocation.

The novelty of our approach to smart energy management lies in judiciously combining:

1.      physics based and data-driven models,

2.      off-line planning with timely dynamic decision making, and

3.      minimal physical sensor infrastructure with sophisticated soft sensors (virtual sensors that can replace physical sensors) based on our notion of observability.

Our solutions will be showcased in campus buildings, and subsequently packaged and deployed in our partners’ premises.