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This newly released report by eLab 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.

eLab is an assembly of thought leaders and decision makers from across the U.S. electricity sector. It is a joint collaboration, convened by Rocky Mountain Institute (RMI) and Reos Partners, with participation from stakeholders across the electricity industry. eLab is not a consensus organization, and the view expressed in this document do not necessarily represent those of any individual eLab member or supporting organization.

The report draws on the diverse perspectives from academia, evaluation consulting, software development, and efficiency program administration to:

1. Explain stakeholder perspectives, M&V 2.0 methods, M&V 2.0 tools, and the benefits and challenges of a shared approach
2. Detail key issues and current work related to standardization, guidelines, and protocols
3. Detail a set of critical interrelated needs and opportunities to set a common path forward for the industry

RMI and partners from the University of Chicago and Open Energy Efficiency, DNV GL, Lawrence Berkeley National Laboratory, Energy Savvy, the U.S. Department of Energy, and Pacific Gas and Electric Company formed a team that attended the 2016 e-Lab Accelerator. During four days they participated in facilitated sessions under expert faculty guidance to address key issues for leveraging M&V 2.0. They wanted to foster a greater understanding and agreement regarding the valuation components that benefit from consistent versus customized treatment of data and methods, guided by a belief that shared interests in the benefits of M&V 2.0 across stakeholder groups could create a common foundation and clear language that fosters improved communication and effective collaboration within a shared implementation structure.