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.
This paper will discuss the Building Agent™ platform, which has been developed and deployed in a campus setting at the National Renewable Energy Laboratory. The Building Agent™ provides aggregated and coherent access to building data, including electric energy, thermal energy, temperatures, humidity, and lighting levels, and occupant feedback, which are displayed in various manners for visitors, building occupants, facility managers, and researchers. This paper focuses on the development of visualizations for facility managers, or an energy performance assurance role, where metered data are used to generate models that provide live predicted ranges of building performance by end use.
Re-tuning focuses on a number of commonly occurring operational problems in buildings. These guides, through examples, provide details on how to detect good (normal) and bad (abnormal) operations. The purpose of the central utility plant (CUP) heating control guide is to show, through
examples of good and bad operations, how CUP heating can be efficiently controlled. This guide will focus on hot water boilers and their operations
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.
Older, inefficient commercial rooftop unit (RTU) air conditioning systems are common and can waste from $1,000 to $3,700 per unit annually, depending on the building size and type. By replacing or retrofitting them, you can save money, improve your energy efficiency, make your building more comfortable, and help the environment. The Advanced RTU Campaign (ARC) encourages commercial building owners and operators to replace their old RTUs with more efficient units or to retrofit their RTUs with advanced controls in order to take advantage of these benefits. This website shows updates to the campaign including resources and progress towards the campaign's goal.
The Energy Management Package was developed by LBNL and DOE to deliver energy management and low- and no-cost energy efficiency opportunities to the small commercial building sector (less than 50,000 sq. ft.). This whole-building efficiency service offering was designed to be delivered by HVAC contractors at low transaction cost, and includes analysis of whole-building monthly or interval energy data and benchmarking, using free and low cost software tools. The website includes links to the Package itself, the business model associated with delivery of the Package, an introductory webinar, and an overview slide deck. Contractors servicing the small commercial sector who are interested to help demonstrate this approach should contact the point of contact below.
The package helps contractors to address questions such as:
What no- or low-cost measures could generate savings in a building?
How much energy does a building use compared with similar buildings?
How has energy usage changed over time? If the owner has already made upgrades, have they been effective?
How much money could potentially be saved through energy upgrades?
Case study describing how adidas implemented a best practice of a planned replacement program for its rooftop units (RTUs), which resulted in significant cost and energy savings. The case study outlines the planning process, implementation, results, and the future plans of their RTU replacement program.
This checklist will assist facility managers and building owners evaluate the capabilities of HVAC companies and the proposals they submit for installation of new HVAC equipment. The questions on the checklist will help owners and managers understand the requirements contained within the ACCA HVAC quality installation Standard 5.
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.