Framework Release 3.0 Background Since the release of the last edition of the NIST Smart Grid Framework and Roadmap for Interoperability Standards (Release 2.0), 1 in February 2012, significant technological advances in smart grid infrastructure have been implemented, supported by standards development across the entire smart grid arena. Examples include widespread deployment of wirelesscommunication power meters, availability of customer energy usage data through the Green Button initiative, remote sensing for determining real-time transmission and distribution status, and protocols for electric vehicle charging. The first release of the NIST Framework and Roadmap for Smart Grid Interoperability Standards (Release 1.0) 2 was published in January 2010. Release 3.0 updates NIST's ongoing efforts to facilitate and coordinate smart grid interoperability standards development and smart grid-related measurement science and technology, including the evolving and continuing NIST relationship with the Smart Grid Interoperability Panel (SGIP) public-private partnership. Over the last decade, Congress and the Administration have outlined a vision for the smart grid and have laid the policy foundation upon which it is being built. The Energy Independence and Security Act of 2007 (EISA) codified the policy of the United States to modernize the nation's electricity transmission and distribution system to create a smart electric grid. 3 The American Recovery and Reinvestment Act of 2009 (ARRA) accelerated the development of smart grid technologies, investing $4.5 billion for electricity delivery and energy reliability activities to modernize the electric grid and implement demonstration and deployment programs (as authorized under Title XIII of EISA). 4 5 The president, in his 2011 and 2012 State of the Union Addresses, reiterated his vision for a clean energy economy, 6 and he underscored the Administration's commitment in the "Blueprint for a Secure Energy Future." 7

PREFACEThis document provides background material on a research and development planning effort in the U.S. Department of Energy (DOE), Office of Building Technologies. It is part of a larger set of material to be used in the ongoing planning process and does not, in itself, represent the decisions or policies of DOE. This document does not represent the current DOE research agenda, nor planned research, but instead is intended to provide a point of departure for discussion of potential research options. v EXECUTIVE SUMMARYThis document provides a market assessment of existing building sensors and controls and presents a range of technology pathways (R&D options) for pursuing advanced sensors and building control strategies. This report is a synthesis of five white papers, each devoted to either the market assessment or the identification of R&D options to expand the market, and resultant energy savings, from advanced building controls and sensors.The ideas presented in these white papers were purposefully unconstrained by budget to attempt to capture the full range of potential options. As such, choosing and summarizing highlights from each of these papers, and in turn highlighting this in an Executive Summary, is quite challenging. Instead, what is contained in this Executive Summary is an overview of each chapter. Market AssessmentThe market assessment includes estimates of market potential and energy savings for sensors and control strategies currently on the market as well as a discussion of market barriers to these technologies. Contributors to this report believe that significant energy savings and increased comfort and control for occupants can be achieved with advanced technologies. An estimation of the potential market and energy savings from these advanced technologies is the subject of a follow-on market assessment by TIAX, which should be available in 2005. Technology PathwaysThe Technology Pathway is organized into four chapters:• Current Applications and Strategies for New Applications • Sensors and Controls• Networking, Security, and Protocols and Standards• Automated Diagnostics, Performance Monitoring, Commissioning, Optimal Control, and Tools.These chapters can roughly be characterized as follows:1. Applications to building sub-systems (e.g., lighting) and potential new applications (e.g. disaster mitigation).2. Sensor and controls hardware including wireless devices and actuators.3. Issues relating to the internetworking of sensors, controls, and actuators and standards and protocols required for full interoperability.4. Tools and applications for whole building system integration, monitoring, and controls.Each technology pathway chapter gives an overview of the technology or application. This is followed by a discussion of needs and the current status of the technology. Finally, a series of research topics is proposed.vii ACKNOWLEDGMENTS

On May 3, 2004, NIST conducted a workshop to identify information needs for emergency responders during building emergencies. The workshop brought together emergency responders with the goals of sharing the vision of how the availability of building information can impact emergency response, and to gain from attendees guidance on what specific building information would be of greatest benefit to public safety officials, as well as how best to present it, and with what security measures. Prior to the workshop, NIST prepared a draft white paper detailing information needs of first responders at different times for different emergencies. During the workshop, the draft white paper served as a starting point for discussion with fire, police, and emergency medical responders. Based on workshop input, the white paper was both confirmed and extended. The revised paper is incorporated into this report.

In recent years, with the wide area network security attacks and threats gradually increased and how through the wide area network security technology system to effectively ensure the safety of the wide area network has become an important area of network security research. This paper mainly analyzes the importance of WAN security and the network security problems faced by wide area network (WAN), so as to solve the security problems of the network security technology system of the wide area network, strengthen the security early warning technology, analysis and research the public key infrastructure and the security management strategy.

The NIST Transactive Energy (TE) Modeling and Simulation Challenge for the Smart Grid (Challenge) spanned from 2015 to 2018. The TE Challenge was initiated to identify simulation tools and expertise that might be developed or combined in co-simulation platforms to enable the evaluation of transactive energy approaches. Phase I of the Challenge spanned 2015 to 2016, with team efforts that improved understanding of TE concepts, identified relevant simulation tools and co-simulation platforms, and inspired the development of a TE co-simulation abstract component model that paved the way for Phase II. The Phase II effort spanned Spring 2017 through Spring 2018, where the teams collaboratively developed a specific TE problem scenario, a common grid topology, and common reporting metrics to enable direct comparison of results from simulation of each team's TE approach for the defined scenario. This report presents an overview of the TE Challenge, the TE abstract component model, and the common scenario. It also compiles the individual Challenge participants' research reports from Phase II. The common scenario involves a weather event impacting a distribution grid with very high penetration of photovoltaics, leading to voltage regulation challenges that are to be mitigated by TE methods. Four teams worked with this common scenario and different TE models to incentivize distributed resource response to voltage deviations, performing these simulations on different simulation platforms. A fifth team focused on a co-simulation platform that can be used for online TE simulations with existing co-simulation components. The TE Challenge Phase II has advanced co-simulation modeling tools and platforms for TE system performance analysis, developed a referenceable TE scenario that can support ongoing comparative simulations, and demonstrated various TE approaches for managing voltage on a distribution grid with high penetration of photovoltaics.