Simulating heat and mass transfer in buildings equipped with sensor networks

Thursday, June 13, 2013 - 1:30pm - 2:20pm
Lind 305
Vanessa Lopez (IBM)
We consider the problem of modeling air flow, heat transfer, and humidity in buildings equipped with a network of sensors and a data management system which gathers the sensor data in real time. Such sensor measurements serve as input data for the boundary value problems for systems of partial differential equations comprising the physical models. First, we describe a simplified physics model for simulating air and heat transfer in data centers and show results from a case study indicating that the model produces approximations to temperature distributions which compare favorably with 3D experimental thermal measurements, even when the amount of input information provided by the real-time sensor data is limited. We then consider simulating humidity along with air flow and heat transfer, specifically in environments where natural convection is dominant. We will discuss modeling techniques that facilitate performing simulations of the physical phenomena at hand and which are suitable for coupling with measurements gathered via sensor networks.