A new benchmark of energy performance for energy management in U.S. and Canadian integrated steel plants


Journal Article

© 2016 by AIST. ENERGY STAR® is a market-based program managed by the U.S. Environmental Protection Agency (EPA) that supports businesses and consumers by making it easier to save money and protect the climate through superior energy efficiency. The familiar ENERGY STAR label can be found on high-performing appliances, office equipment, lighting, buildings, manufacturing plants and more. Within the industrial sector, the ENERGY STAR program focuses on enabling sustainable corporate energy management. A key ENERGY STAR energy management tool provided to industries is a plant Energy Performance Indicator (EPI). An EPI is a statistical benchmarking tool that provides a "birds-eye" view of a plant's sector-specific plant-level energy use via a functional relationship between the level of energy use and the level and type of various production activities, material input's quality, and external factors, such as climate. The EPI uses stochastic frontier regression to estimate the lowest observed plant energy use, given these factors. This statistical model also provides a distribution of energy efficiency across an industry, allowing users to answer the very practical question, "How would my plant's energy performance compare to that of others in my industry if all other plants were similar to mine?" Corporate and plant energy managers in eleven manufacturing industries in the U.S. use ENERGY STAR EPIs to estimate the energy efficiency of their plants, set improvement goals, inform investment decisions, and earn recognition for good performance through EPA. More than a dozen additional industries are working with EPA to develop ENERGY STAR EPIs for their plants. This paper describes the development of the first EPI for evaluating the energy performance of integrated steel mills in the U.S. and Canada.

Full Text

Duke Authors

Cited Authors

  • Boyd, G; Doolin, M; Dutrow, E; Zhang, S

Published Date

  • January 1, 2016

Published In

Volume / Issue

  • 3 /

Start / End Page

  • 2835 - 2848

International Standard Serial Number (ISSN)

  • 1551-6997

Citation Source

  • Scopus