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.
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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 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.
Develop a simple document and Web-based information guidebook to help commercial building software developers, energy managers, and control companies implement strategies for commercial building energy analysis and performance monitoring. This project will use the following book as a model for the design of the handbook: Builder's Guide to Mixed Climates: Details for Design and Construction by Joseph W. Lstiburek. February 2001. Taunton Press. ISBN 156158388X.
This guide provides an overview of the different energy audit options available and information on how to select an energy auditor.
This report outlines the technical protocol used to generate Department of Energy's Commercial Building Energy Asset Score for commercial buildings, explains the scoring methodology, and provides additional details regarding the Asset Scoring Tool. This report also describes alternative methods that were considered prior to developing the current approach. Finally, this report describes a few features of the program where alternative approaches are still under evaluation.