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.
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Tower Companies, a DC based owner of large multi-tenant buildings and Better Buildings Challenge partner, engaged in an aggressive program to take measured data from their buildings and turn it into real energy savings. This case study, completed by Tower in partnership with the National Resources Defense Council (NRDC) describes outcomes at three properties. The case study was highlighted on a Better Buildings Webinar on February 5, 2014.
On December 6, 2016, the U.S. Department of Energy announced the launch of a new partnership to jump-start zero energy schools across the country. The Zero Energy Schools Accelerator enables states and school districts alike to design, construct, and operate these cutting-edge, energy-saving schools. This press release highlights the importance of the Accelerator by featuring a completed zero energy school, Discovery Elementary in Arlington, Virginia.
"This study, commissioned by the Continental Automated Buildings Association (CABA), and conducted by the New Buildings Institute (NBI), details how existing and emerging building monitoring and control technologies are helping designers, owners, operators and occupants achieve and maintain zero net energy (ZNE) buildings."
In this paper, we apply an automated whole-building M&V tool to historic data sets from energy efficiency programs to begin to explore the accuracy, cost, and time trade-offs between more traditional M&V, and these emerging streamlined methods that use high-resolution energy data and automated computational intelligence. The results show that 70% of the buildings were well suited to the automated approach. In a majority of the cases (80%) savings and uncertainties for each individual building were quantified to levels above the criteria in ASHRAE Guideline 14.
"The general concept of using meter data to quantify building energy savings is intuitive and straightforward; in practice, however, there are many complications. With support from DOE, LBNL has been working with partners to address many of the market and technical barriers for M&V 2.0."
This short blog article describes a related white paper titled "The Status and Promise of Advanced M&V: An Overview of 'M&V 2.0 Methods, Tools, and Applications" and a technical article titled "Application of Automated Measurement and Verification to Utility Energy Efficiency Program Data."
"The objective of this paper is to provide background information and frame key discussion points related to advanced M&V. The paper identifies the benefits, methods, and requirements of advanced M&V and outlines key technical issues for applying these methods. It presents an overview of the distinguishing elements of M&V 2.0 tools and of how the industry is addressing needs for tool testing, consistency, and standardization, and it identifies opportunities for collaboration."
With the expansion of advanced metering and increased use of energy analytics tools, the energy efficiency community has begun to explore the application of advanced measurement and verification (or “M&V 2.0”) technologies. Current literature recognizes their promise, but does not offer in-depth assessment of technical underpinnings. This paper assesses the state of the technology and it’s application. Sixteen commercially available technologies were characterized and combined with a national review of their use.
Published in The Electricity Journal 30:8-16
A white paper that describes the mixed-methods process that architectural firm Perkins-Eastman developed to evaluate school building performance post-occupancy. The paper includes a standard survey tool to assess perceptions and a sensor network and protocol for testing school building performance.