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.
This is a comprehensive list of all the assessment questions a user may encounter when completing an assessment within the Energy Management Assessment (EMA) Tool. The EMA Tool provides a strategic and confidential analysis of an organization’s current energy management business practices. The assessment consists of a series of binary questions related to 12 different components of energy management. Within each component, questions are organized in levels. Answering “Needs Improvement” sets the level of development for that component and moves the user on to questions in the next component. This full question set may be a helpful reference or offline backup for Facilitators working with customers to complete assessments within the EMA Tool.
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 Resource Sheet “Business Drivers and the EnMS” is a resource available within the U.S. Department of Energy’s 50001 Ready Navigator tool. It helps users understand how a variety of social, external and internal business drivers impact decisions, and which of these business drivers to consider when developing and pitching an Energy Management System, or EnMS. It also helps organizations think about energy, energy management and improved energy performance within the context of their organization, as well as their current and future business priorities and needs. Primary audiences for this tool include energy champions, executive sponsors and energy teams.
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.
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.
The Personnel Associated with Significant Energy Uses (SEUs) resource is available within the U.S. Department of Energy’s 50001 Ready Navigator tool. It provides guidance on identifying personnel responsible for areas of major consumption and opportunity for improvement. Identifying key personnel associated with SEUs is one way to greatly impact energy efficiency. This resource outlines the significant energy used, person(s) responsible and energy related actions to take specific to an SEU. Program administrators could use this resource in waste reduction and energy savings opportunity workshops or employee engagement activity, or to determine how people are using SEUs. This tool also helps customers project future energy consumption of each SEU and develop a plan for regularly updating the SEUs.
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