Over the last five years, New Buildings Institute (NBI) and partners EcoEdge, Maalka, National Institute of Building Science, and Integral Group have worked with mid-sized cities across the country to develop and deploy a replicable process to help cities connect the dots between goals and day-to-day operations in a cost-effective and impactful manner.
This document aims to help public building portfolio holders understand the benefits of the Public Buildings Portfolio Management process and outline the approach and key lessons learned for those ready to start their own program. The process is applicable to any city, county, regional government, state agency, or school district interested in saving on operating costs, reducing emissions, and leading by example in their community.
After reviewing SEM measurement and verification (M&V) protocols from different programs, the NW SEM Collaborative's Energy Tracking and Savings Protocols (ETSP) team identified multicollinearity as a common statistical issue in industrial data sets in October 2013. Understanding that multicollinearity has the potential to affect the specification of regression-based energy models used to determine adjusted baselines, more consistent treatment of this issue may help improve confidence in SEM-based savings, and thereby address a potential market barrier. Therefore, the team compiled this paper for the purposes of outlining the implications of multicollinearity in the context of SEM measurement and verification, and providing examples of how program implementers have successfully identified and treated the presence of multicollinearity among a set of predictor variables.
After reviewing SEM measurement and verification (M&V) protocols from different programs, the NW SEM Collaborative's Energy Tracking and Savings Protocols (ETSP) team identified autocorrelation as a common statistical issue in industrial data sets in October 2013. Understanding that autocorrelation has the potential to negatively affect the predictive capability of regression-based energy models used to create adjusted energy baselines, more consistent treatment of this issue may help improve confidence in SEM-based savings, and thereby address a potential market barrier. The ETSP team compiled this paper for the purposes of outlining the implications of autocorrelation in the context of SEM measurement and verification, and providing examples of how program implementers have successfully identified and treated the presence of autocorrelation in regression-based energy models.
The M&V Workgroup created this Selection Guide in June 2019 to discuss some of the modeling alternatives to traditional multivariate linear regression forecast models. A method selection decision tree provides guidance to determine the appropriate M&V method under common circumstances. Detail on the application, merits, demerits, and special considerations for each of seven methods is then provided. The appendices include references, standard metrics for model fitness (statistical verification), and discussion of some common analytical choices.
The US EPA’s ENERGY STAR® Guidelines for Energy Management provide a proven strategy for creating an energy management program focused on continuous improvement of energy performance. This document provides additional information and guidance to make Energy Management a success at an organization. These guidelines are also featured as a resource within the U.S. Department of Energy’s 50001 Ready Navigator tool. The guidelines can be used to gather preliminary information on an energy management system and framework, to better understand Energy Management, and/or to review an energy management program. Primary audiences for this resource include: executives, energy champions, energy teams, sustainability coordinators and executive sponsors.
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.
These Energy Manual Guidelines are a resource available within the U.S. Department of Energy’s 50001 Ready Navigator tool. The document outlines what to include in an Energy Manual. An Energy Manual is a document that summarizes an organization’s EnMS (Energy Management System), is approved by top management, and establishes practices and communication around energy management commitments within an organization. This tool guides a user in creating a stand-alone Energy Manual that is 5-15 pages long and easily understood by all users. It also provides guidance on integrating an Energy Manual into other types of standardization documents in organization, as well as into onboarding documents. Primary audiences for this tool include: energy champions, executive sponsors, energy teams, and executive management.
This is the full evaluation report on Puget Sound Energy’s (PSE) Resource Conservation Manager (RCM) program for the 2015 and 2016 program years. Published July 2, 2018.
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.
In 2017, members of the Northwest SEM Collaborative noticed that Wikipedia still didn’t have an entry for Strategic Energy Management. They formed a work group comprised of volunteers from utilities, SEM delivery contractors, nonprofits, and government agencies, and worked together to develop and launch this SEM Wikipedia page which includes information on energy/non-energy benefits, current activities, common services and more.
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