News
Lab director, Dr. Wangda Zuo, was invited to two in-person seminars last week, to speak about his ongoing work on smart, sustainable, and resilient cities. On April 19, Dr. Zuo spoke at the Department of Civil, Architectural, and Environmental
Lab director, Dr. Zuo is featured on the College of Engineering's website at Penn State University. He recently joined the Penn State College of Engineering as a professor of architectural engineering. He also serves as associate director
Lab director, Dr. Zuo will give a webinar on modeling in building to grid integration on April 28. This webinar will introduce system modeling in the context of building-to-grid integration. Relevant concepts with a focus on requirements
Ph.D. students, Nasim Mamaghani and Saranya Anbarasu received the 2021-22 ASHRAE Rocky Mountain Chapter Student Scholarship. The regional ASHRAE chapter at Denver awards scholarships to students who demonstrate a strong background in
This paper proposes a carbon emission responsive building control framework for controlling thermostatically controllable loads such as heat pumps and heat pump water heaters. The control decisions are made in response to the real-time grid carbon
SBS Lab met with our collaborators from Ireland last week to discuss the project milestones. In this two-day international event, SBS Lab talked about our research findings and direction of the project with our collaborators. This was the first
Ph.D. candidate Cary Faulkner successfully passed his comprehensive examination on Thursday, March 17 2022. He presented his thesis proposal entitled "Advanced Modeling of HVAC Operation for Sustainable and Resilient Office Buildings
SBS Lab alumnus, Dr. Yunyang Ye, has been selected as recipient of the 2022 Hommer Addams Award. This award was given in recognition of his contribution to the ASHRAE research project RP-1771, "Developement of new baseline models for U.S. medium
While equation-based object-oriented modeling language Modelica can evaluate practical energy improvements for district cooling systems, few have adopted Modelica for this type of large-scale thermo-fluid system. In collaboration with LBNL and NREL
Large scale power demand prediction for buildings plays a great role in stable operation and management for the grid. To predict large scale power demand in an accurate and fast way, our team has developed a new method called E-GAN, which combines a