Novel approaches to fault detection

The objective of this internship is to develop a multidisciplinary collaboration to better understand the complex factors that influence industry adoption of fault detection and diagnostic (FDD) tools for commercial buildings. More specifically I will focus on how interface design influences usability and perceived usefulness, and how information from FDD tools ultimately lead to fault correction. With the supervision and support of Dr. Marco Pritoni at the Lawrence Berkeley National Laboratory, I will carry out two research projects in parallel . These projects will include (1) applying an iterative and user focused design methodology to FDD interface design and (2) investigating socio-technical barriers to the implementation of FDD measures. The outputs from these two projects will help both researchers and industry professionals better design FDD tools for successful and wide scale adoption.

Faculty Supervisor:

Mohamed Ouf

Student:

Partner:

Lawrence Berkeley National Laboratory (LBNL)

Discipline:

Engineering

Sector:

Sustainability & the Environment; Energy and Utilities; Other

University:

Concordia University

Program: