SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Smart Grid Interoperability Panel (SGIP) Priority Action Plan (PAP) 21: Harmonized Weather Information Marty Burns, Technical Champion, Al Hefner, Co-Chair, NIST

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Agenda Call to Order – Roll Call (record attendees and establish quorum) – Reminder of Antitrust Policy* Review of Agenda Items to Address – PAP21 Process – Weather Information Model Standards – Business Case – Use Case Development New Business Next Meetings – May 22nd 1:00P EDT – TBD – Find better time slot Adjournment “*This meeting, and all SGIP activities, are governed by SGIP’s By-laws and policies, including SGIP Intellectual Property Rights Policy and Antitrust Policy.”Intellectual Property Rights PolicyAntitrust Policy 2

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO SGIP 2.0 Antitrust Policy Notification To be read aloud by meeting chair/convenor at the start of each meeting, whether it is a virtual meeting or face-to-face meeting. Before this meeting starts, all participants on this call/ [this meeting] should be aware that SGIP has an Antitrust Policy and IPR Policy, as well as a policy for non-members who participate in any meetings. SGIP has all policies posted on its web site at A slide set highlighting the SGIP Antitrust Policy is posted on the landing page of this group in the SGIP Workspace for your reference. SGIP requires that its members, employees and other SGIP participants follow antitrust laws of the US and all applicable jurisdictions. All SGIP activities promote, rather than restrict, competition to the benefit of consumers and the marketplace. 3

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO SGIP 2.0 Antitrust Policy Notification (cont) Certain topics are never to be discussed or agreed upon at any time by any participant when engaged in SGIP activities, including but not limited to the following: Current or future prices, or any strategies relating to pricing Any price related information Output, capacity, inventory levels or costs Any market share Current or future marketing strategies If you become aware of a violation of the Antitrust Policy, you should bring it to the attention of the meeting Chair. The Chair, or you as the participant, should inform the SGIP Executive Director of any possible violations. Questions on these policies may be submitted to 4

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO This slide set provides only a short summary of the Antitrust and IPR Policies adopted by SGIP. The slides do not set out the full texts of your obligations as a SGIP Member or as an invited Expert or other non-Member participant. The SGIP website ( contains all policies and procedures including these specific policies: – Antitrust Policy 71&wg_abbrev=sgip-board 71&wg_abbrev=sgip-board – Intellectual Property Rights Policy 71&wg_abbrev=sgip-board 71&wg_abbrev=sgip-board – SGIP Participation of Non-Member Policy 60&wg_abbrev=sgip-board 60&wg_abbrev=sgip-board Questions on these policies may be submitted to SGIP 2.0 Antitrust and IPR Policies 5

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO PAP21 Process Flow Business Case State our reason for being and success Use Cases Illustrate the applications space of the result Harmonization Requirements Derive requirements for the activity Hand off to SSO(s) 6 ~Feb-Mar 2014 ~April-May 2014 ~June-July 2014

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Business Case Outline Executive Summary – Having a more harmonized weather exchange model among the many current formats increases interoperability, improves data quality, and reduces the cost of acquisition of weather information which allows more resources to be devoted to innovative uses of weather. Who are we? – The Smart Grid Interoperability Panel (SGIP) accelerates the implementation of interoperable smart grid devices and systems. The Challenge – Detailed knowledge of weather – current, historical, and forecasted – can provide the basis for Smart Grid stakeholders to optimize current and future operations and to mitigate disruption and damage from adverse weather events. Why Harmonized Weather Standards Will Help – In order to exploit weather data, it must first be acquired and analyzed. The process of data acquisition itself is purely overhead and does not provide any direct value. Value comes from analysis of weather data once obtained. What Will Drive This Forward – Stakeholders in an open weather data ecosystem will thrive with harmonized and low- impedance availability of data for exchange 7

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Before and After PAP 21* *note – oversimplification of the standards space 8 IEC WMO CAP MESONET Harmony PAP21 other

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO AlertsObservationsForecasts Phenomena AnalogsCodedValues High Level Data Organization of Weather* Current Weather Data standards can be described this way 9 ValueSets AnalogsCodedValues *Courtesy EPRI 2014 GeometryPhenomenaValueSetsGeometry

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Core Weather Model Standards (semantics and syntax for weather information exchange) WMO – WMO/METCE/IWXXM Incorporates from METAR, SPECI, SIGMET, TAF, BUFR, GRIB – Open Geospatial Consortium (OGC) Observation and Measurement IEC – IEC TC57WG16 Common Information Model (CIM) for Environmental Extensions IEC – IEC – Part of 7-4 including wind and photovoltaics – IEC – Communications for monitoring and control of wind power plants, TC 88 Other Standards – OASIS CAP / Emergency Interoperability Consortium – ASHRAE FSGIM (based on WXXM) – DWML - Corporate – Earth Networks (Weatherbug) - – Weather Underground - “K” factor standard for space weather NASA Weather from Satellite in RETSCREEN – tool National Mesonet Program Alliance – IOOS CSV – *FL – MADIS interface ( Lightening Data – – Earth Networks delivers this data – WMO has data representation 10

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO OASIS CAP 1.2

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO National MESONET Enhanced monitoring through hyper-local weather networks

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO ICAO IWXXM ICAO Annex 3 products: METAR/SPECI, TAF, SIGMET IWXXM US Specializations of ICAO Annex 3 products: US METAR/SPECI, US TAF, US SIGMET IWXXM- US Next-generation aviation weather products: Contours, aircraft reports, gust front, motion vector, etc. WXXM 4 - Weather Information Exchange Model - WXXM - Dennis Hart - EUROCONTROL.pptx

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO IEC – CIM Environmental Extensions

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO IEC and IEC

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO BIDIRECTIONAL CROSS-DOMAIN USE CASES 16

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Use Case Activity The following are key groupings: – Microscale weather and climate data – Renewable and/or distributed energy resources – Federation of sources and uses of weather data – Utility Operations and Markets – Climate change Procedure (refined at meeting) – – Identify the top business oriented Use Case Topics – Review these bullets from the business case (below) – Allocate the benefits bullets to the Use Case topics – At this point we will have a small set of Key Use Cases with topic details nested under them – We then will need volunteers to help flesh out the Use Case narratives and actors lists that will form the basis of each Use Case 17

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Business Case Benefits Notes Big Groupings – Microclimate data – Renewable and/or distributed energy resources – Federation of sources and uses of weather data – Utility operations Example Business oriented Use Case: A third party energy service provider wants to establish market-based rates for selling energy from disparate renewable sources to various clients How Customers with a building that wants to be net0 energy Goals of the activity – Need to use initial business use case to drive participants to help PAP Benefits to allocate to business oriented use cases – Microclimate data availability can enrich the quality and precision of weather data providing for better analysis at lower cost. – Localized microclimate data down to the customer premise combined with regional data can provide cost-effective and accurate localized energy efficiency analyses. – Standardized data allow deployment of services across territories without additional cost and tailoring. – For acquirers of services, standardization or harmonization reduces the occurrence of vendor lock-in due to compatibility as opposed to from availability of unique and excellent services. – The opportunity for value-added services is increased by the ubiquitous availability of sourced data. – Additional sources of weather that can be easily integrated create the opportunity for a large ecosystem of service providers. Today’s divergent sources of weather data impede the ecosystem due to the high cost of acquiring and integrating data. – A well-established harmonized reference reduces uncertainty about data quality. Combining information from varying sources of differing quality can result in a net more accurate forecast and analysis. This in turn can reduce the liability for predictions based on its use. Higher resolution and metadata can be available than could be cost justified due to ease of integration. – More accurate and quantitative availability of weather data can improve resilience including minimizing outage times and restorations. The costs of outages can be reduced through better preparation and coordination of first responders. 18

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Bidirectional Cross-Domain Weather Data Exchange: DRGS Use Cases 19 Priority for cross-domain weather exchange Have Use CaseUse Case Application of Weather Data by Wind/Solar/CHP Generator Forecasting data may be used autonomously by a single turbine or wind farm in the middle of nowhere. Wind farm determine its own maintenance schedule, taking next few day low-wind periods into account. (cleverfarm.com) CHP generator use weather data to forecast thermal load demand and determine CHP generation schedule and projected generation availability. Microclimate data and forecasting used for storage charge management and microgrid planed islanding. Historical data for Wind/Solar/CHP plant siting. Communication of microclimate Weather Data collected by Wind/Solar/CHP Generators to forecasters: Microclimate data collected from individual rooftop solar Wind plant individual turbine and met. tower data Forecasting and Sensor Data needs for Grid Applications: Probabilistic distribution weather forecast for generator production, market and operational requirements Outage prediction/restoration from major storms using weather sensor data including lightning Disturbance analysis using rapid weather data exchange Environmental and pollution monitoring Space Weather affects grids Federated Simulation of Global Climate Types of forecasts required for Wind Power: Basic operation: Point forecasts

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Bidirectional Cross-Domain Weather Data Exchange: EPRI Use Cases 20 Priority for cross-domain weather exchange Have Use CaseUse Case Types of forecasts required for Wind Power: Operation which takes into account asymmetrical penalties on deviations from the bid: Quantile forecasts Types of forecasts required for Wind Power: Stochastic optimization taking into account start/stop costs, heat storage, and/or ’implicit’ storage by allowing the hydro power production to be changed with wind power production: Scenarios respecting correctly calibrated quantiles and auto correlation. Observation: Situational Awareness Observation: Customer bill complaint Observation: Validate Downwind Concentration Compliance Using Historic Weather Conditions Observation: Outage Management Use of Lightning Strike Information Observation: Sample Request and Response for Environmental Value Set Information Observation: METAR Weather Data Profile Observation: TMY3 Weather Station Data Forecast: Wind Forecast Forecast: Solar Forecast Forecast: Predict resource requirements for storm (or other event) Forecast: Situational Awareness XForecast: Weather Forecast for Load Forecast Environmental Alert Environmental Event Phenomena Classification configuration Environmental Data Provider configuration Environmental Data Authority configuration Environmental Location configuration Environmental Monitoring Station configuration

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Bidirectional Cross-Domain Weather Data Exchange – B2G Use Cases 21 Priority for cross- domain weather exchange Have Use CaseUse Case UC-1: Weather data usage to forecast near term power needs; less than 24 hours ahead UC-2: Using Weather to Forecast Medium Term Power Needs ( days) (Similar to EIS Alliance UC-3: “Forecast Power Usage”) UC-3: Using Weather to Forecast Long Term Power Needs (greater than 10 days) (Similar to EIS Alliance UC-3: “Forecast Power Usage”) UC-4: Normalize building energy use to provide baseline year UC-5: Compare building energy use against baseline UC-6: Using Weather Information to Manage and Protect Distributed Energy Resources UC-7: Weather Data Usage in Start/Stop Time Optimization UC-8: Using weather data to determine when to shift loads (produce ice, pre-cool, store DG energy, delayed start…) UC-9: Using weather data to change facility schedule (e.g. shut facility due to potential snow storm) UC-10: Using Weather Information to Manage a Facility before a Demand Response Event UC-11: Using Weather to Determine How Much Reactive Power Can be Offered for Sale and Direct Control by the Grid

SPRING 2014 MEMBERS MEETING MAY 5-8, 2014  DENVER, COLORADO Hierarchical DER Use Cases Look at Hierarchical DER Use Case Classification and their use for gap analysis standards development – Identify those that “weather” related