The talk presents the unique challenges in creating a representative model of the national commercial building stock. The end-to-end process of developing the stock-level inputs, generating and running 150,000 building energy models, and processing and evaluating the output data will be explored. It will highlight lessons from the open-source workflow that could be applied to general BEM practice, and give example use cases for stock-level building energy data.
Learning Objectives:
- Identify key challenges in creating a national-scale commercial building stock model.
- Understand the workflow for generating, running, processing and evaluating large-scale building energy simulations.
- Apply lessons learned from the stock modeling workflow to common BEM practice.
- Evaluate use cases for stock-level building modeling data.
Eric is a Senior Researcher in the Building Stock Modeling and Analysis Group at the National Laboratory of the Rockies (NLR) developing tools to evaluate the energy use of the United States commercial building stock and applying stock data to understand and improve grid-scale energy use. Prior to joining NLR, Eric has over a decade of experience in commercial building energy efficiency consulting in Portland, NYC, Denver and Oakland, modeling new and existing buildings of all types to meet local code, green building certifications and client efficiency goals. He enjoys finding ways to leverage software to enhance the production of building energy models.