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.
OpenStudio development efforts have been focused on providing Application Programming Interfaces (APIs) where users are able to extend OpenStudio without the need to compile the open source libraries. This paper will discuss the basic purposes and functionalities of the core libraries that have been wrapped with APIs including the Building Model, Results Processing, Advanced Analysis, Uncertainty Quantification, and Data Interoperability through Translators. Several building energy modeling applications have been produced using OpenStudio's API and Software Development Kits (SDK) including the United States Department of Energy's Asset ScoreCalculator, a mobile-based audit tool, an energy design assistance reporting protocol, and a portfolio scale incentive optimization analysis methodology. Each of these software applications will be discussed briefly and will describe how the APIs were leveraged for various uses including high-level modeling, data transformations from detailed building audits, error checking/quality assurance of models, and use of high-performance computing for mass simulations.
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.
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?
This document provides facility managers and building owners with an introduction to measurement and verification (M&V) methods to estimate energy and cost savings of rooftop units replacement or retrofit projects. The M&V methods presented here are helpful in estimating paybacks to justify future projects.
The Standard Energy Efficiency Data (SEED) Platform was developed to help state and local governments address the challenge of implement building performance reporting regulations for private and/or public buildings. SEED provides a flexible, free, secure, and private data platform for managing large datasets. The SEED source code is open source and extensible so that other parties can access the data, and offer add-on tools and services in a replicable way. This paper details the varying processes that had started to emerge in New York City, Seattle, Washington DC, San Francisco, and Austin, and then summarize the features of SEED that were developed to address key challenges. SEED has the potential to significantly decrease the administrative effort required to implement performance-tracking programs and increase the quality of analysis. By aligning data formats and data management processes across jurisdictions, SEED can also help to ease reporting burdens for owners and contractors, facilitate parallel analysis and comparisons between jurisdictions, and increase the availability of products and services that utilize this data. This paper also explores SEED’s potential at scale in the market and the ongoing role for interested users and software developers to contribute resources and provide input on ongoing development.
While the availability of “big data” about building energy performance is increasing in response to market demands and public policies, the lack of standard data formats is a significant ongoing barrier to its full utilization. To overcome this barrier, the U.S. Department of Energy (DOE) and Lawrence Berkeley National Laboratory (LBNL) developed the Building Energy Data Exchange Specification (BEDES).
BEDES is designed to enable the exchange, comparison, and combination of empirical information by providing common terms and definitions for data about commercial and residential building’s physical and operational characteristics, energy use, and efficiency measures.
This paper describes the BEDES development process, scope, structure, and plans for implementation and ongoing updates.