Buildings generate 39% of global CO2 emissions, but evaluating and prioritizing cost-effective technical solutions for individual buildings at city scale poses a significant challenge for city stakeholders. CityBES is a free, powerful modeling and analysis tool that enables quick and quantitative assessments of actionable recommendations for decarbonizing buildings and improving their thermal resilience against extreme weather at the urban scale. CityBES builds upon open city datasets, international data standards, the powerful EnergyPlus simulation engine, a library of mitigation and adaptation measures, and 3D-GIS visualization to inform decision making on city buildings, energy, and sustainability.

eta.lbl.gov/news/rd-100-awards-honor-lab-innovations

The Commercial Building Energy Saver (CBES), a software toolkit that enables equitable access to building deep retrofit and zero-net energy strategies for these buildings, won a 2019 R&D 100 Award in the software/services category.

The development team includes Berkeley Lab researchers Sang Hoon Lee, Xuan Luo, Kaiyu Sun, Tianzhen Hong, Cynthia Regnier, Mary Ann Piette (all pictured left to right), Yixing Chen, Rongpeng Zhang, Sarah C. Taylor-Lange, and Philip Price. The project was supported by the California Energy Commission and the Department of Energy.

For demonstrating dedicated, professional, and effective contribution to the BEST Workshop.