This Oak Ridge National Laboratory combines topics and speakers from the Energy and Transportation Science division and the Environmental Sciences division.
Part 1. There are ~125 million residential and commercial buildings in the U.S. consuming $380 billion/year in energy. What technologies offer the best return-on-investment for your home or office? How can organizations cost-effectively reduce energy, demand, and emissions toward a more sustainable and resilient built environment? Joshua New will discuss how ORNL’s research has helped scale building energy modeling beyond city-sized areas, empirically validated models against measured energy data for more than 100,000 buildings, and plans to create a model of every U.S. building by the end of this year.
Part 2. Metadata or “data about data” is one of the key factors in enabling efficient data discovery, but management in advance is key. Metadata at the DOE Atmospheric Radiation Measurement (ARM) Data Center at ORNL (www.arm.gov) seeks to provide the “what, where, and when” about ARM’s 2 PB of data to assist users in finding the best data for their needs. This highlights the importance of accurate and abundant metadata and the importance of the classification of data files and variables within the files as well as the value of increased details about data displayed in the ARM Data Discovery Tool. Maggie Davis will discuss examples of ARM processes as inputs to developing standardized approaches for replication in other research communities.