The Energy Management Assessment (EMA) Tool offers a strategic and confidential analysis of your organization’s current energy management business practices and specific areas of opportunity. The EMA Assessment and other SEM Hub resources can then help you develop or improve your Strategic Energy Management (SEM) practices for your organization.
Northwest utilities and energy efficiency organizations are taking a collaborative approach to Strategic Energy Management. The NW SEM Collaborative was formed in 2011 based on the premise that the region can achieve more working together than can any single utility or organization working alone. The NW SEM Collaborative aims to help energy efficiency program administrators accelerate the adoption of SEM in the industrial and commercial sectors.
This evaluation report focuses on the Efficiency Vermont CEI Pilot, which sought to permanently integrate energy management into facility operations and management. The evaluation independently estimates the pilot’s energy savings as a result of the following four focus areas: capital upgrades, process improvements, predictive maintenance, and employee engagement.
This evaluation focuses on the Efficiency Vermont CEI Pilot, which sought to permanently integrate energy management into facility operations and management. The evaluation independently estimates the pilot’s energy savings as a result of the following four focus areas: capital upgrades, process improvements, predictive maintenance, and employee engagement.
Strategic Energy Management (SEM) programs have expanded over the years in the United States and abroad (CEE 2016). SEM programs vary widely in implementation and scope, but typically involve a longer-term customer engagement to train and embed energy efficient practices. Energy Trust of Oregon (Energy Trust) has been implementing industrial Strategic Energy Management since 2009.
This analysis looks at the 59 SEM customer facilities that were in the sample selected for the Energy Trust’s Production Efficiency Program 2012-2013 impact evaluation and a separate Industrial SEM Process and Impact evaluation. The following questions are investigated:
A rapidly growing approach to energy efficiency, strategic energy management (SEM) programs realize savings by using capital in concert with operations and management improvements to facilities. By using various frameworks, evaluators of these programs can estimate reductions in energy consumption before and after program implementation.
In this study, the authors used a simulation approach to test different frameworks and model specifications.
This design guide to Industrial SEM, as designed for California Investor Owned Utilities (IOUs), presents the first two years of an intended 6 year journey. This guide is a well-developed, prescriptive, and comprehensive cohort program curriculum design. It is scheduled to be implemented by the California IOUs starting in 2018 and the success/results will be available in 2020 or later.
This document was developed for the U.S. Department of Energy Uniform Methods Project (UMP). The UMP provides model protocols for determining energy and demand savings that result from specific energy-efficiency measures implemented through state and utility programs.
Many SEM programs are relatively new, and only a handful have reported—much less verified—energy savings due to the challenges in quantifying savings. Some program administrators considering SEM are hesitant to implement programs without more evidence that savings are verifiable and sustainable. This paper begins to address these barriers by outlining the variations in SEM program designs, identifying the challenges to quantifying energy savings, presenting evaluated savings for four SEM programs, proposing strategies for improving the likelihood that savings are quantifiable, and summarizing research in the pipeline.
In this paper, three challenging SEM evaluation areas are discussed: (1) statistically detecting energy savings, (2) designing a sampling strategy, and (3) accounting for equipment and custom measures that received rebates through other programs.
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