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Data Science for Appliance Energy Efficiency Policy [SLIDES]

Brian Gerke, Principal Scientific Engineering Associate, Energy Efficiency Standards Group, LBNL

Energy efficiency standards and labeling (S&L) programs for appliances are a fundamental component of many nations' energy policy portfolios. Such programs have the potential to yield significant reductions in energy consumption, and associated emissions, both within the borders of the regulated market and beyond. It is challenging to evaluate the full impact of these programs on global energy demand, however, since the required data are highly fragmented, residing with a wide variety of retailers, manufacturers, market research firms and government agencies. The rise of online data sources, such as e-commerce and government websites, has eased access to certain data, but until the various disparate data sets can be brought together and made comparable, a full accounting of S&L impacts will remain elusive. To address these problems, Lawrence Berkeley National Laboratory is constructing the International Database of Efficient Appliances (IDEA), a flexible database for organizing, aggregating and storing market and energy-performance data on a variety of appliances, electronics, and other equipment sold worldwide, collected via web-crawling and other data collection techniques. This presentation describes the concept behind IDEA, technical details of its development, and example applications that demonstrate the power of a unified, international database in the context of energy efficiency policy development and evaluation.

Brian Gerke is a Principal Scientific Engineering Associate in the Energy Efficiency Standards groups at Lawrence Berkeley National Lab (LBNL), where he performs research and analysis in support of the Department of Energy's energy efficiency standards program for appliances. Brian is also Principal Investigator at LBNL for the International Database of Efficient Appliances. Prior to joining LBNL, Brian spent a decade in astrophysics, researching observational cosmology and galaxy formation.
Joe Kwiatkowski,
Nov 6, 2015, 8:15 AM