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,
[email protected]@hypertek.us Al Hefner, Co-Chair, NIST
[email protected]@nist.gov
Slide 2
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 SGIPs By-laws and policies,
including SGIP Intellectual Property Rights Policy and Antitrust
Policy.Intellectual Property Rights PolicyAntitrust Policy 2
Slide 3
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 www.sgip.org. www.sgip.org 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
Slide 4
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 [email protected][email protected] 4
Slide 5
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 (www.sgip.org)
contains all policies and procedures including these specific
policies:www.sgip.org Antitrust Policy
http://members.sgip.org/apps/group_public/document.php?document_id=41
71&wg_abbrev=sgip-board
http://members.sgip.org/apps/group_public/document.php?document_id=41
71&wg_abbrev=sgip-board Intellectual Property Rights Policy
http://members.sgip.org/apps/group_public/document.php?document_id=41
71&wg_abbrev=sgip-board
http://members.sgip.org/apps/group_public/document.php?document_id=41
71&wg_abbrev=sgip-board SGIP Participation of Non-Member Policy
http://members.sgip.org/apps/group_public/document.php?document_id=23
60&wg_abbrev=sgip-board
http://members.sgip.org/apps/group_public/document.php?document_id=23
60&wg_abbrev=sgip-board Questions on these policies may be
submitted to [email protected][email protected] SGIP 2.0 Antitrust and IPR
Policies 5
Slide 6
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
Slide 7
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
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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
Slide 9
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
Slide 10
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 62325 IEC 61850 Part
of 7-4 including wind and photovoltaics IEC 61400-25 Communications
for monitoring and control of wind power plants, TC 88 Other
Standards OASIS CAP / Emergency Interoperability Consortium ASHRAE
FSGIM (based on WXXM) DWML -
http://www.programmableweb.com/api/noaa-national-weather-service-nwshttp://www.programmableweb.com/api/noaa-national-weather-service-nws
Corporate Earth Networks (Weatherbug) -
http://weather.weatherbug.com/pulseapi.htmlhttp://weather.weatherbug.com/pulseapi.html
Weather Underground -
http://www.wunderground.com/weather/api/http://www.wunderground.com/weather/api/
K factor standard for space weather NASA Weather from Satellite in
RETSCREEN tool National Mesonet Program Alliance IOOS CSV *FL MADIS
interface
(https://madis-data.noaa.gov/MadisSurface/)https://madis-data.noaa.gov/MadisSurface/
Lightening Data Earth Networks delivers this data WMO has data
representation 10
Slide 11
SPRING 2014 MEMBERS MEETING MAY 5-8, 2014 DENVER, COLORADO
OASIS CAP 1.2
http://www.pdfpower.com/XML2005Proceedings/ship/119/XML2005Paper_v2.HTML
Slide 12
SPRING 2014 MEMBERS MEETING MAY 5-8, 2014 DENVER, COLORADO
National MESONET Enhanced monitoring through hyper-local weather
networks
https://www.earthnetworks.com/Products/MesonetSolutions.aspx
Slide 13
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
Slide 14
SPRING 2014 MEMBERS MEETING MAY 5-8, 2014 DENVER, COLORADO IEC
62325 CIM Environmental Extensions
Slide 15
SPRING 2014 MEMBERS MEETING MAY 5-8, 2014 DENVER, COLORADO IEC
61850 and IEC 61400-25-2
Slide 16
SPRING 2014 MEMBERS MEETING MAY 5-8, 2014 DENVER, COLORADO
BIDIRECTIONAL CROSS-DOMAIN USE CASES 16
Slide 17
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
Slide 18
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. Todays 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
Slide 19
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
Slide 20
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
Slide 21
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 (3 - 10 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
Slide 22
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
