Green Manufacturer - July/August 2010

A new white paper from Rockwell Automation details the requirements and outlines the potential efficiency gains that commercial and industrial energy users can achieve by applying an integrated, algorithmic approach to energy management. The paper uses examples from several enterprise energy management (EEM) system implementations to validate this holistic methodology, which leverages real-time and historical data to predict performance trends and evaluate response options.

“An Algorithmic Approach to Enter-
prise Energy Management: Developing
an Integrated Energy Solution Utilizing
Real-time Data Collection and Predic-
tive Modeling Capabilities” outlines
the fundamental requirements of an
EEM system. These core requirements
include connectivity to disparate data
sources, energy modeling for real-time
benchmarking, analytical capabilities
to support ongoing systems, commis-
sioning, and accessible visualization of
energy usage data.

The paper, authored by Jeff Soplop, manager of energy solutions with Rock-

Enterprise energy management system white paper

well Automation, discusses preliminary results from several EEM system implementations. Using an EEM system has typically reduced first-year energy consumption by 10 to 23 percent at campuses, large facilities, and manufacturing plants, according to the paper. In addition, EEM systems help facilities maintain the savings and continually achieve more energy efficiency from buildings and equipment each year.