This Data Collection Responsibilities Table is a resource available within the U.S. Department of Energy’s 50001 Ready Navigator tool. It is useful in defining roles and responsibilities as they relate to the collection of energy data. The tool outlines actions, roles, responsibilities and assigned personnel, helps assign ownership of energy data, and helps users develop a continuous improvement process as it relates to energy data. It could be used as part of an Energy Data, Organizational Fundamentals or Energy Team workshop. Primary audiences for this tool include: energy champions, energy teams, data technicians, and building occupants.
This Elevator Speech Worksheet is a resource available within the U.S. Department of Energy’s 50001 Ready Navigator tool. It can be used to develop a presentation for selling energy management to top management and other key decision makers. It provides structure to deliver an elevator pitch that is 12 seconds, 30 seconds and three minutes long, and helps users develop energy efficiency vocabulary, KPIs and energy management metrics. Primary audiences for this tool include energy champions, executive sponsors and energy teams, who could use this tool in an organizational fundamentals workshop, an Energy Team or employee engagement activity, or in a professional development workshop.
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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