Dynamic pricing electricity tariffs are now the default for large customers in California, and provide federal facilities new opportunities to cut their electricity bills and help them meet their energy savings mandates. This fact sheet will help California federal facilities take advantage of these opportunities through “rate-responsive building operation,” which involves designing load management strategies around a facility’s variable electricity rate, using measures that require little or no financial investment. Most facility types can reduce or shift some electric load during times when rates are higher. Facilities that can curtail with a 24-hour notice may be especially good candidates for dynamic pricing programs.
Advanced SearchYour search resulted in 151 resources
Best practices publication that shows the different stages in the design process, the important considerations for producing a low energy building, the tools that can be used at different points in the process, and the information that needs to be exchanged between different parts of an integrated project team at different stages.
The Commercial Building Partnership (CBP) paired selected commercial building owners and operators with representatives of DOE, national laboratories, and private sector exports to explore energy efficiency measures across general merchandise commercial buildings.
PNC has opened a zero-energy building that is 57% more efficient than ASHRAE 90.1-2004. Exterior features include shading to control glare from sunlight and photovoltaic solar panels to produce as much electricity as the building consumes annually.
This study analyzes the market needs for building performance evaluation tools. The purpose is to identify existing gaps and provide information for the U.S. Department of Energy (DOE) to use in developing a linked set of tools for optimizing energy performance of commercial buildings over their life cycles.
This resource functions as a design guide for daylighting devices called light scoops. These devices typically are on the roof surface with skylights pointing south and work particularly well in cloudy climates.
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.
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.
This document provides an example request for proposal (RFP) for the Stanford Linear Accelerator Center (SLAC) National Accelerator Laboratory Science and User Support Building. The RFP has been annotated by the National Renewable Energy Lab (NREL) to demonstrate the project’s steps that follow NREL and DOE’s Energy-Performance-Based Acquisition process.