1 A Data and Computing Platform for City and District Scale Building Energy Efficiency

Tianzhen Hong, Ph.D., Lawrence Berkeley National Laboratory
Buildings in cities consume 30 to 70% of cities’ total primary energy. Planning and evaluating retrofit strategies for buildings requires a deep understanding of the physical characteristics, operating patterns, and energy use of the building stock. This talk introduces a web-based data and computing platform, City Building Energy Saver (CityBES), which focuses on energy modeling and analysis of a city’s building stock to support district or city-scale efficiency programs. CityBES uses an international open data standard, CityGML, to represent and exchange 3D city models. CityBES targets urban planners, city energy managers, building owners, utilities, energy consultants and researchers.

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