Publications
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 emission. In this work, we explored the tradeoffs among indoor air quality, financial costs, and CO2 emissions for HVAC
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 systems in the US are steam based systems? However, we do not have Modelica models which can simulate such system effectively for practice. As a part of large collaborative research 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
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
Buildings account for approximately 36% of the United States’ total carbon emissions and building retrofits have great potential to reduce carbon emissions. As a part of a comprehensive research project funded by US National Science Foundation, the
The COVID-19 pandemic has highlighted a need for strategies to mitigate the risk of airborne disease transmission in shared indoor spaces. In an effort to better understand indoor airborne contaminant transport funded through DTRA and in partnership
It is crucial for buildings to be resilient to unforeseen challenges, such as providing safe indoor environment during the COVID-19 pandemic, while ensuring sustainability for long-term operation. This paper investigates the effectiveness of various