Sustainable Systems

Living laboratories, physical and cyber-system environments, indoor and outdoor monitoring, and miniature prototypes allow for replication of real-world environmental challenges and advances in research and education.

Energy Laboratory (and Roof Deck/Balcony)

Energy Laboratory Render

The Energy Lab provides students, faculty members, and industry partners with a collaborative environment specific to sustainable energy solutions. A combination of physical and cyber-system technologies, including live feeds from on-campus power sources such as solar panels, wind turbines, and fuel cell equipment, this living laboratory advances smart grid analysis and modeling to determine how different power source and load combinations respond to differing commercial and environmental demands. Industry access to these energy simulations, as well as smart grid and cybersecurity training and education, will assist energy providers in providing improved reliability and efficiency, addressing critical national and global energy challenges.

Sustainable Infrastructure Laboratory

Concept Lab

Sustainability of our nation’s infrastructure depends on the ability to monitor and accurately describe conditions and then recommend and implement effective interventions, as needed. The Sustainable Infrastructure Lab provides integrated modeling, simulation, and development of prototype equipment and sensory systems for infrastructure assessment and monitoring and rehabilitation.

Urban Informatics Laboratory

UIL

Coastal cities, home to over half of the population in the U.S. and over 38% worldwide, are facing intensified natural and human disturbances such as hurricanes, sea level rise, and urban development. By integrating indoor physical testing with outdoor field monitoring, the Urban Informatics Lab provides a platform to advance research and education in urban sustainability and resilience.

Intelligent Transportation Systems Laboratory

The Intelligent Transportation Systems Lab facilitates research on connected and autonomous vehicles, transportation big data analytics, and drone-based traffic management. Miniature prototypes of vehicle-infrastructure platforms will replicate real-world transportation systems, while a server system will convert data from traffic sensors, probes, video, smart devices, social media, and connected vehicles. A 3D visualization “cave” will combine with urban analytics to study traffic accidents, congestion management, and human factors in a driver-simulator environment.

CWES | NJAMI | CEE