This Fact Sheet provides an overview of the Better Buildings Workforce Guidelines project. The Department of Energy (DOE) and the National Institute of Building Sciences (NIBS) are working with industry stakeholders to develop voluntary national guidelines that will improve the quality and consistency of commercial building workforce training and certification programs for five key energy-related jobs.
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A case study of the overview, process, and results of the re-tuning that was conducted in a building in Arlington, Virginia by Vornado Realty Trust in October 2012. Re-tuning provided the facilities management team with the ability to identify and understand building scheduling opportunities that drove significant, low-cost energy savings. Five measures were conducted, many of which pertained to the HVAC system.
This dynamic document provides background information to any potential audience of building re-tuning training. This document provides background information specifically geared toward small- to medium-sized commercial building operations. It introduces basic building energy terminology associated with building energy use to “prime” targeted participants to get the most out of the building re-tuning training. The intent is for participants who are less familiar with the concepts to review this material before taking the building re-tuning training class.
The primary audience for this instructor manual is the person who will be teaching the re-tuning course. In addition, community college instructors, retro-commissioning training providers and building operator training providers may find value in the material presented in this instructor manual as well. The purpose of this course is to help building operations staff to learn how to operate buildings more efficiently, reduce operating cost and provide energy savings. The knowledge and skills learned through the training will be highly valued by organizations and companies seeking to improve the performance of their buildings. Provides additional information on what to highlight in each of the small building re-tuning slides.
The primary audience for this instructor manual is the person who will be teaching the re-tuning course. In addition, community college instructors, retro-commissioning training providers and building operator training providers may find value in the material presented in this instructor manual as well. The purpose of this course is to help building operations staff to learn how to operate buildings more efficiently, reduce operating cost and provide energy savings. The knowledge and skills learned through the training will be highly valued by organizations and companies seeking to improve the performance of
The intent of this user guide is to provide a description of the functionality of the Energy Charting and Metrics plus Building Re-tuning and Measurement and Verification (ECAM+) tool. ECAM+ facilitates the charting and analysis of energy use and point-level data from utility meters, building automation systems (BASs), and data loggers. This document describes the tool’s general functions and features, including installation, use, guidance, and limitations.The Energy Charting and Metrics Tool (ECAM) is an add-on for Microsoft Excel® which was developed to facilitate analysis of data from building (energy and other data). Key features of ECAM+ include the creation of charts to help re-tuning.
Tower Companies, a DC based owner of large multi-tenant buildings and Better Buildings Challenge partner, engaged in an aggressive program to take measured data from their buildings and turn it into real energy savings. This case study, completed by Tower in partnership with the National Resources Defense Council (NRDC) describes outcomes at three properties. The case study was highlighted on a Better Buildings Webinar on February 5, 2014.
The lack of empirical data on the energy performance of buildings is a key barrier to accelerating the energy efficiency retrofit market. The DOE’s Buildings Performance Database (BPD) helps address this gap by allowing users to perform exploratory analyses on an anonymous dataset of hundreds of thousands of commercial and residential buildings. These analyses enable market actors to assess energy efficiency opportunities, forecast project performance, and quantify performance risk using empirical building data. In this paper, we describe the process of collecting and preparing data for the database, and present a peer-group analysis tool that allows users to analyze building performance for narrowly defined subsets of the database, or peer groups. We use this tool to explore a case study of a multifamily portfolio owner comparing his buildings’ performance to the peer group of multifamily buildings in the local metro area. We also present a performance comparison tool that uses statistical methods to estimate the expected change in energy performance due to changes in building-component technologies. We demonstrate a low-effort retrofit analysis, providing a probabilistic estimate of energy savings for a sample building retrofit. The key advantages of this approach compared to conventional engineering models are that it provides probabilistic risk analysis based on actual
measured data and can significantly reduce transaction costs for predicting savings across a portfolio.
On December 6, 2016, the U.S. Department of Energy announced the launch of a new partnership to jump-start zero energy schools across the country. The Zero Energy Schools Accelerator enables states and school districts alike to design, construct, and operate these cutting-edge, energy-saving schools. This press release highlights the importance of the Accelerator by featuring a completed zero energy school, Discovery Elementary in Arlington, Virginia.