Application Of An Operational Meso-Scale Modelling System For Industiral Plant Energy Operations
Some of the recent extensions to Deep Thunder have included support for weather-sensitive operations at several major IBM facilities in the northeastern United States. These facilities range from large office complexes to research facilities and semi-conductor manufacturing plants. To enable environmental analytics relevant to such sites, we are investigating the use of high-resolution numerical weather prediction models in optimizing energy management strategies for smart building applications. The NWP model provides highly granular (temporally and spatially) predictive information (e.g., temperature) that is directly relevant for HVAC operations and electrical load shedding algorithms. As part of the work, we are attempting to quantify the potential for improving energy and cost savings for industrial building and site operations. We will discuss our overall approach to these issues, the specific site issues, and some of the results to date.