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.
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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.
Presentation slides from Integrating Energy Modeling in the Design Process presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012.
This resource provides energy models from the Advanced Energy Design Guide (AEDG) for Medium to Big Box Retail Buildings that have been incorporated into Building Component Library (BCL). The AEDG series provides design guidance for buildings that use 50% less energy than those built to the requirements of the ANSI/ASHRAE/IES Standard 90.1-2004 commercial code, and are specific to prominent building types across each of the eight U.S. climate zones. More information on the AEDGs can be found at http://energy.gov/eere/buildings/advanced-energy-design-guides and http://www.ashrae.org/aedg.The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. More information about the BCL can be found at https://bcl.nrel.gov.
These models are EnergyPlus version 6.0 and were completed in 2011. A Technical Support Document (TSD) that details these models can be found at http://www.nrel.gov/docs/fy13osti/52589.pdf. This Technical Support Document describes the process and methodology for the development of the Advanced Energy Design Guide for Medium to Big Box Retail Buildings: Achieving 50% Energy Savings Toward a Net Zero Energy Building (AEDG-MBBR). The AEDG-MBBR is intended to provide recommendations for achieving 50% whole-building energy savings in retail stores over levels achieved by following ANSI/ASHRAE/IESNA Standard 90.1-2004, Energy Standard for Buildings Except Low-Rise Residential Buildings (Standard 90.1-2004). The AEDG-MBBR was developed in collaboration with the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), the American Institute of Architects (AIA), the Illuminating Engineering Society of North America (IES), the U.S. Green Building Council (USGBC), and the U.S. Department of Energy.
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.
The BEDES Strategic Working Group Recommendations document is a guide to how the BEDES Dictionary can be brought to market and provide the services for which it was designed.
The U.S. Department of Energy created the Building Energy Data Exchange Specification (BEDES) to facilitate the exchange of information on building characteristics and energy use in an inexpensive and unambiguous manner.
The BEDES Dictionary 1.0 was developed by DOE to support the analysis of the performance of buildings by providing a common set of terms and definitions for building
characteristics, efficiency measures, and energy use.
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.
Comprehensive commissioning can greatly improve the quality and energy efficiency of commercial refrigeration systems. This guide provides direction to owners and managers of commercial and industrial facilities that use refrigeration systems to help ensure that project requirements are met and that owners' expectations are achieved. This includes retail grocery, food service, refrigerated warehousing, and industrial refrigeration systems. The guide was produced as an ASHRAE special publication with funding from DOE/NREL.