HGV
A open source Modelica library for the NZEC is built to facilitate the design and operation of a real NZEC. Using this library, a virtual testbed is built based on Historic Green Village, a real-world NZEC on Anna Maria Island, Florida.
This project is funded by Department of Energy and is a joint project with Pacific Northwest National Laboratory and Oak Ridge National Laboratory. The project goal is to develop a framework to prioritize behind-the-meter end-use resources, and a
Recently, our lab received a new funded project studying “Comprehensive Pliant Permissive Priority Optimization”. The project is funded by Department of Energy and it is a joint project with Pacific Northwest National Laboratory and Oak Ridge
Our lab's research on net zero energy community is recently featured in the special report "University of Miami Special Report on Cuba and the Caribbean". This report focuses on a diversity of aspects of Cuba and the Caribbean area
University of Miami recently released the special report titled "University of Miami Special Report on Cuba and the Caribbean". This report focuses on a diversity of aspects of Cuba and the Caribbean area including the environment, the people,
On Oct. 21, the Colorado Congress for the New Urbanism (CNU) and CU Boulder's Community Engagement, Design and Research (CEDaR) Center hosted the Community Building Colorado-Style conference. Speakers and panelists discussed innovations to
Thomas Alonso Sevilla, Yangyang Fu, Yunyang Ye and Wei Tian went to Ana Maria, and installed the weather station and solar monitoring system in the Historic Green Village. Left to right: Yangyang Fu, Yunyang Ye, Thomas Alonso Sevilla.
College of Engineering, University of Miami News reported our new NSF research grant on smart community modeling: "Planning Smart, Sustainable and Connected Communities".
The goal of this project is to develop a new planning framework for smart, connected and sustainable communities that allows meeting such zero energy, zero outage, and zero congestions goals by optimally deciding on how, when, and where to deploy