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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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.
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.
NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers, and engineers in the healthcare sector will be able to use these results to more effectively prioritize and refine the scope of investments in new metering and energy audits.
This guide was created to help healthcare facility decision-makers plan, design, and implement energy improvement projects in their facilities. It was designed with energy managers in mind, and presents practical guidance for kick-starting the process and maintaining momentum throughout the project life cycle.
Work with the buildings industry to develop and maintain data, methods, and tools to understand and improve the sustainability of buildings at a fundamental level and continue to develop and support the U.S. Life Cycle Inventory (LCI) Database, which provides the starting point for LCA.
Method for testing and diagnosing the simulation capabilities of the exterior envelope portions of building energy simulation programs. BESTEST (Building Energy Simulation TEST) evaluates design and analysis tools relative to their ability to adequately model the envelope dynamics of buildings. It has been adapted for certifying tools for Home Energy Rating Systems and by other organizations.
This sophisticated, yet easy-to-use software application trains itself to create a “smart model” of your building and compares daily energy consumption against this norm. The Energy Expert will tell you whether your facility over-consumed; under-consumed or used about the right amount of energy through a convenient email notification.
In this video, Jesus Garza, executive vice president and chief operating officer of the Seton Family of Hospitals, and Bob Bonar, president and chief executive officer of Dell Children's Medical Center, discuss the financial and business decision-making that went into the building of the LEED Platinum Dell Children's Medical Center.
A set of specifications for continuous performance monitoring systems that can be easily adapted and routinely used by a variety of organizations for both new construction and control system retrofits