According to Asadi, successful building design does not necessarily result in good building performance. She said it isn’t possible for buildings to function as projected and satisfy their occupant’s needs until they are occupied.
Buildings as cyber-physical-human energy systems
Asadi is working to highlight buildings’ potentials and shift the perception, on national and global levels, that they are simply containers for people. She looks at modern buildings entirely as cyber-physical-human energy systems that optimize energy use by their occupants, while providing comfortable living and working environments.
“To capture the full potential of smart and connected buildings, a need exists to develop and test holistic, integrative design methodologies for building sub-systems to autonomously assess and adapt to dynamic conditions spanning social, physical and cyber domains,” she said.
Asadi’s cyber-physical-human system work focuses on developing models that bring into account the fact that a building's environment is in a continuous flux due to shifting occupant needs and behavioral patterns. By leveraging technology and employing a system-level approach, buildings will provide comfort, safety and functionality while minimizing energy cost, supporting a robust electric grid and mitigating environmental impact.
Interdisciplinary collaboration
She hopes to collaborate with experts in mechanical building systems, lighting and electrical building systems, computer science and engineering and behavioral sciences to collect measurable cyber-physical-human systems data.
To combat the increase in asthma, Asadi will work with colleagues to develop wearable, low-cost, low-power and cloud-based indoor air quality sensors to measure critical indoor air pollutants. Her team will gather data in order to define an algorithm of long-term air quality observation and to create a monitoring system that will provide building occupants with indoor air quality data.
Through partnerships with mechanical systems, computer science and engineering and behavioral science experts, she also hopes to use cognitive science to better define and understand how occupant behavior impacts a building’s energy performance. This research will pair together cognitive computer models with building design and systems models, gather and assess occupant behavior data and develop models to help better predict building occupant energy decisions.