News
Congratulation to lab members, Cary Faulkner, Yingli Lou, and Yizhi Yang, have been selected to听receive听up to $1500 in scholarship funds to attend the 2022 ASHRAE & IBPSA-USA BPAC and SimBuild Conference. The theme of the conference, 鈥
On July 13, 2022, Lab PI,听Dr. Wangda Zuo was invited by National Center for Atmospheric Research (NCAR)听to give a presentation听titled "Modeling Sustainable and Resilient Citied: Opportunities for Climate Prediction". This presentation
SBS lab member听Yingli Lou听successfully defended her Ph.D. thesis titled Interconnections of Energy Consumption, Carbon Emission, and Economic Impacts for Sustainable Buildings.听 This dissertation aims to reveal the connections among
As a popular emission reduction tool, the carbon emission trading scheme (ETS) can potentially add an economic incentive for building owners to retrofit buildings in addition to the cost savings in energy. As a part of a comprehensive research
It is challenging to provide excellent indoor air environment, while saving operational cost and reducing CO2听emission. In this work, we explored the tradeoffs among indoor air quality, financial costs, and CO2 emissions for听HVAC听
How could we predict large-scale building power demand fast and accurately? Generative Adversarial Networks (GAN), as a potential candidate, have recently attracted a lot of attention. This paper identified five promising GANs (Original GAN, cGAN,
Do you know that 97% of district heating听systems in the US are steam听based systems? However, we do not have Modelica听models which can simulate such system effectively for practice. As a part of large collaborative research in
Ph.D. student, Kathryn (Katy) Hinkelman received 2022 Marlene & Joseph Borda Architectural Engineering Graduates Fellowships from Penn State University to attend the 5th International Conference on Building Energy and Environment (COBEE) in
Ph.D. candidate,听Cary Faulkner received a travel grant to attend the 2022 ASHRAE Annual Conference in Toronto. He will present his work titled "A Novel Physics-Informed Algorithm for Training AI Models to Predict Indoor Airflow" at one of the
Ph.D. candidate,听Cary Faulkner was selected as a Ph.D. Fellow for this year鈥檚 University of Nebraska Lincoln Durham School of Architectural Engineering and Construction PhD Symposium. He will participate in the "Future of the Building Industry