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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Few third-party guidance documents or tools are available for evaluating thermal energy storage (TES) integrated with packaged air conditioning (AC), as this type of TES is relatively new compared to TES integrated with chillers or hot water systems. To address this gap, researchers at the National Renewable Energy Laboratory conducted a project to improve the ability of potential technology adopters to evaluate TES technologies. Major project outcomes included: development of an evaluation framework to describe key metrics, methodologies, and issues to consider when assessing the performance of TES systems integrated with packaged AC; application of multiple concepts from the evaluation framework to analyze performance data from four demonstration sites; and production of a new simulation capability that enables modeling of TES integrated with packaged AC in EnergyPlus. This report includes the evaluation framework and analysis results from the project.
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.
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.
One of the nation’s largest schools serving over 60,000 students, the University of Minnesota (U of M) is upgrading the lighting at all 18 parking ramps and garages on its Minneapolis campus. In the Northrop Auditorium Garage, a small 24,000 square foot facility with 75 parking spots, U of M replaced low-wattage high-pressure sodium fixtures with high efficiency, lower- wattage LED fixtures with lighting controls. This Lighting Energy Efficiency in Parking (LEEP) Campaign Award winning project achieved 90% energy savings by upgrading to LEDs with lighting controls.
This article appears in the July 2016 issue of the ASHRAE Journal (pgs. 38-45). Brief summary:
The U.S. Department of Energy's Building Performance Database (BPD) is the largest publicly available data source for energy-related characteristics of commercial and residential buildings in the United States, collected from federal, state, and local governments, utilities, and private companies. The BPD provides anonymized building energy use and asset data with analytical capabilities to help energy service providers, real estate owners and managers, policy makers, and energy consultants make decisions about energy efficiency and retrofit projects.
This article examines some of the promises and perils of having large amounts of building data at the user's fingertips and how to use such data and statistical analysis tools effectively to support decision-making by energy professionals.
To address the need for accessible, high-quality data, the Department of Energy has developed the Technology Performance Exchange (TPEx). TPEx enables technology suppliers, third-party testing laboratories, and other entities to share product performance data.
This study expands and validates previous research by Heschong Mahone Group that found a statistical correlation between the amount of daylight in elementary school classrooms and student performance. The researchers reanalyzed student performance data from two school districts to answer questions raised by the previous study. The results are consistent with the original findings and affirm that daylight has a positive and highly significant association with improved student performance.