Difference between revisions of "Energy Cluster Jan 2011 Agenda"
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2:00 – 3:30 PM Track 4 Climate and Energy Policy and User Requirements<br> | 2:00 – 3:30 PM Track 4 Climate and Energy Policy and User Requirements<br> | ||
* [http://wiki.esipfed.org/index.php/File:Sanborn_ESIP_4_JAN_2011_pres.pdf 'Energy Requirements for Military Installations'] – Harold Sanborn, USACE HQ, ERDC-CERL | * [http://wiki.esipfed.org/index.php/File:Sanborn_ESIP_4_JAN_2011_pres.pdf 'Energy Requirements for Military Installations'] – Harold Sanborn, USACE HQ, ERDC-CERL | ||
− | * Developing Innovative Tools for Geospatial Analysis of Bioenergy – Alison Goss-Eng, DOE Biomass Program | + | * [[Media: Goss Eng ESIP Jan2011.pdf| Developing Innovative Tools for Geospatial Analysis of Bioenergy – Alison Goss-Eng, DOE Biomass Program]] |
3:30 – 4:00 PM Break<br> | 3:30 – 4:00 PM Break<br> | ||
Line 18: | Line 18: | ||
* Open Discussion for Future Activities | * Open Discussion for Future Activities | ||
+ | |||
+ | ==== Notes from Session ==== | ||
===January 5, 2011 Wednesday Afternoon=== | ===January 5, 2011 Wednesday Afternoon=== | ||
Line 31: | Line 33: | ||
3:45 – 5:15 PM<br> | 3:45 – 5:15 PM<br> | ||
− | * GFDL model, Hi-Res Datasets, and their Availability for Analysis - V. Ramaswamy, NOAA/GFDL | + | * [[Media:Ramaswamy ESIP WinterMeeting EnergyCluster Jan2011.pdf| GFDL model, Hi-Res Datasets, and their Availability for Analysis - V. Ramaswamy, NOAA/GFDL]] |
− | * Uncertainty Quantification and Risk Assessment – Duane Apling, NGC | + | * [[Media:Apling esip dla uncert energy v3 draft.pdf|Uncertainty Quantification and Risk Assessment – Duane Apling, NGC]] |
* Improving Short-Term Forecasting for Wind Energy: Overview of a Planned DOE/NOAA/Private-Industry Study – Jim Wilczak, NOAA/ESRL | * Improving Short-Term Forecasting for Wind Energy: Overview of a Planned DOE/NOAA/Private-Industry Study – Jim Wilczak, NOAA/ESRL | ||
+ | |||
+ | ==== Notes from Session ==== | ||
+ | how to develop services that reach out from national through to the local level. | ||
+ | |||
+ | Activities since last meeting | ||
+ | * NAPA Study completed by congress | ||
+ | * Developed vision/framework document | ||
+ | * Regional climate Services Directors Hired | ||
+ | * DOI USDA DOE collaborations expanding | ||
+ | |||
+ | Vision for climate service | ||
+ | |||
+ | Provide science and services informing society to anticipate /respond to climate and its impacts | ||
+ | |||
+ | Near term objectives | ||
+ | * Improve understanding | ||
+ | * Integrated assessments | ||
+ | * Inform mitigation and adaptation choices | ||
+ | * Educate the public | ||
+ | ** consistent with NOA Goal of adaptation and mitigation | ||
+ | |||
+ | societal challenges focused on - rest left to private sector and other govt departments | ||
+ | |||
+ | focus: marine ecosystems, costal climate, climate impacts on water, extreme climate conditions<br> | ||
+ | |||
+ | Building partnerships with | ||
+ | * NASA | ||
+ | * department of interior | ||
+ | * USDA | ||
+ | * Department of defense | ||
+ | |||
+ | Providing access to information | ||
+ | * NOAA climare services portal (climate.gov) | ||
+ | Public Understanding | ||
+ | * Summer institute on climate change June 15-July 1, 2011 in Ashville NC | ||
+ | |||
+ | |||
+ | observing and monitoring | ||
+ | * US climate reference network - installed soil moisture/ temp sensors | ||
+ | observing and data stewardship | ||
+ | * satelite climate record- Global Precipitation Measurement GPM / X-Cal | ||
+ | * Global cloud climatology data extending back to 1978 | ||
+ | (satellite calibration working group) | ||
+ | Monitoring and modeling- NIDIS | ||
+ | * US drought monitor produced weekly | ||
+ | * climate prediction center | ||
+ | * climate forecast system version 2 | ||
+ | Decision support | ||
+ | * climate normals- 30 years averaged over 8000 locations | ||
+ | |||
+ | education is not in mission statement-should be explicitly included in order to prevent it form being cut by budget restrictions | ||
+ | * public outreach is included in overall structure though | ||
+ | |||
+ | Assessing Earth Obervation Measurements in Informing Energy Sector<br> | ||
+ | |||
+ | Completed projects- context of conference theme: evaluating usefulness of earth science data<br> | ||
+ | NASA applied sciences Program- goal: find non research applications / practical uses of data for decision makers<br> | ||
+ | |||
+ | GEO- monitoring renewable energy sources/improving forecasting | ||
+ | * CEOS-uses earth observation satellites to directly support near term goals of GEO | ||
+ | |||
+ | NASA POWER Project - prediction of worldwide energy resources<br> | ||
+ | SSE -surface meteorology and solar energy database- 24 years of data publicly available <br> | ||
+ | |||
+ | NASA data is global and accessible to everyone ex: through RETScreen<br> | ||
+ | NREL HOMER micropower optimization model- world wide user base. computer program that simplified evaluation of nasa data like RETScreen<br> | ||
+ | |||
+ | |||
+ | Tremendous solar storm (like in 1859) could knock out our modern power grid, communication system, and internet. earth observations could be used to improve forecasting ability and prepare for such an event<br> | ||
+ | |||
+ | Initiative by Battelle to use NASA products to enhance energy utility load forecasting for both short and long term planning<br> | ||
+ | |||
+ | Nasa data products DO have a useful role in renewable energy and energy utilities and other applications<br> | ||
+ | partnerships with end users are esential to educate them and provide for their needs<br> | ||
+ | |||
+ | Asssessing value of information depends on project under consideration <br> | ||
+ | Possible next step- socio economic benefit survey<br> | ||
+ | |||
+ | |||
+ | NOAA GFDL Cimate Modeling <br> | ||
+ | Global to regional climate information<br> | ||
+ | |||
+ | Horizontal and vertical grids that cover the surface of the earth.<br> | ||
+ | Scientific challenges for gathering useful information | ||
+ | * model verification against observations | ||
+ | * time scales | ||
+ | * quantification and resolution of uncertainties | ||
+ | |||
+ | Demands of computational resources | ||
+ | * tradeoff of complexity vs resolution | ||
+ | * depends on the needs of the project | ||
+ | |||
+ | increased resolution is very important for accuracy of predictive models | ||
+ | * anomalies in hurricane models reduced by higher resolution increasing resolution from 2 degree to 1-1.5 degree | ||
+ | * Coastal current modeling can be vastly imroved | ||
+ | resolution will not solve every problem, only effective to a point. <br> | ||
+ | |||
+ | End of 2011 GFDL data will be available online in archive online<br> | ||
+ | 2013 data will go public<br> | ||
+ | |||
+ | GFDL <br> | ||
+ | huge effort to get data into proper format<br> | ||
+ | whole system not working yet<br> | ||
+ | * must rewrite entire IPCC data set so system can recognize it | ||
+ | External | ||
+ | * early tests of network ongoing | ||
+ | * data volume a big issue- dealing with cost infrastructure and software | ||
+ | ** too much data, hard for clients to get just a peice of it | ||
+ | |||
+ | Analysis and quantification of uncertainty for climate change decision aids: energy consumption in SW US<br> | ||
+ | |||
+ | Climate decision aids (heating/cooling data)<br> | ||
+ | Case studies using downscale of resolution for heat maxima from electrical and natural gas usage in southwestern military bases<br> | ||
+ | Both showed unexpected outliers <br> | ||
+ | showed that winter was having a later onset<br> | ||
+ | |||
+ | |||
+ | Improving short-term forecasting for wind energy DOE NOAA Private Industry study<br> | ||
+ | |||
+ | purpose <br> | ||
+ | improve short range forcasts 0-6h of wind speed direction and turbulence at hights that effect turbines with the assumption that it can reduce cost of wind energy<br> | ||
+ | |||
+ | fossil fuels and the economy<br> | ||
+ | GDP growth correlates to oil production over the past 30 years<br> | ||
+ | oil price spikes correlate with economic recessions<br> | ||
+ | |||
+ | oil production has gone flat, no longer increasing<br> | ||
+ | 350 B$ a year for oil imports (9 million barrels a day)<br> | ||
+ | |||
+ | China is increasing fossil fuel (especially coal) use exponentially<br> | ||
+ | |||
+ | natural gas<br> | ||
+ | conventional vs shale gas<br> | ||
+ | |||
+ | |||
+ | renewable<br> | ||
+ | wind energy is decreasing in cost already cheaper than natural gas in some areas<br> | ||
+ | smart grid depends on accurate wind forecasts<br> | ||
+ | NOAA data is mostly high in atmosphere not at turbine level<br> | ||
+ | |||
+ | key to efficiency is to keep demand and generation closely balanced <br> | ||
+ | recucing output from plants or shutting off plants<br> | ||
+ | reducing plant production decreases effeciency higher %co2<br> | ||
+ | |||
+ | savings from perfect forecasts would be in the billions if 20% of energy was based on wind<br> | ||
+ | |||
+ | Problem with wind power is there is a max windspeed- after which turbine is forced to shut down. with forecasts, turbines could be shut on or off in advance to maximize energy capture and regulate traditional power plants to cover down time most effeciently<br> | ||
+ | |||
+ | wind forecasting project<br> | ||
+ | |||
+ | deploy federal( mostly NOAA) seonsors and measure for a year to create a model, then evaluate the model<br> | ||
+ | |||
+ | test regions <br> | ||
+ | upper midwest and texas<br> | ||
+ | |||
+ | NOA hourly updated NWP models<br> | ||
+ | current resolution - 13km grid over north america<br> | ||
+ | future - high resolution rapid refresh model = 3km grid over the US <br> | ||
+ | |||
+ | will compile detailed case studies of forecast failures<br> |
Latest revision as of 17:28, January 28, 2011
ESIP Winter Meeting 2011 (Washington, DC)
January 4, 2011 Tuesday Afternoon
2:00 – 3:30 PM Track 4 Climate and Energy Policy and User Requirements
- 'Energy Requirements for Military Installations' – Harold Sanborn, USACE HQ, ERDC-CERL
- Developing Innovative Tools for Geospatial Analysis of Bioenergy – Alison Goss-Eng, DOE Biomass Program
3:30 – 4:00 PM Break
4:00 – 4:45 PM Track 4a Climate and Energy Policy and User Requirements (Cont'd)
- User Needs, Technology Transfer and Cross-agency Data-sharing (Shekar Rao, TechComm)
4:45 – 5:30 PM Track 4b Energy and Air Quality Joint Session
- Open Discussion for Future Activities
Notes from Session
January 5, 2011 Wednesday Afternoon
Track 4 Climate and Energy: Data, Models and Decision Support Solutions
1:45 – 3:15 PM
- Climate Service support to the Energy and Water sectors – Scott Hausman, NOAA/NCDC
- Assessing the utility of Earth observation measurements informing energy sector applications - Richard Eckman, NASA
3:15 – 3:45 PM Break
3:45 – 5:15 PM
- GFDL model, Hi-Res Datasets, and their Availability for Analysis - V. Ramaswamy, NOAA/GFDL
- Uncertainty Quantification and Risk Assessment – Duane Apling, NGC
- Improving Short-Term Forecasting for Wind Energy: Overview of a Planned DOE/NOAA/Private-Industry Study – Jim Wilczak, NOAA/ESRL
Notes from Session
how to develop services that reach out from national through to the local level.
Activities since last meeting
- NAPA Study completed by congress
- Developed vision/framework document
- Regional climate Services Directors Hired
- DOI USDA DOE collaborations expanding
Vision for climate service
Provide science and services informing society to anticipate /respond to climate and its impacts
Near term objectives
- Improve understanding
- Integrated assessments
- Inform mitigation and adaptation choices
- Educate the public
- consistent with NOA Goal of adaptation and mitigation
societal challenges focused on - rest left to private sector and other govt departments
focus: marine ecosystems, costal climate, climate impacts on water, extreme climate conditions
Building partnerships with
- NASA
- department of interior
- USDA
- Department of defense
Providing access to information
- NOAA climare services portal (climate.gov)
Public Understanding
- Summer institute on climate change June 15-July 1, 2011 in Ashville NC
observing and monitoring
- US climate reference network - installed soil moisture/ temp sensors
observing and data stewardship
- satelite climate record- Global Precipitation Measurement GPM / X-Cal
- Global cloud climatology data extending back to 1978
(satellite calibration working group) Monitoring and modeling- NIDIS
- US drought monitor produced weekly
- climate prediction center
- climate forecast system version 2
Decision support
- climate normals- 30 years averaged over 8000 locations
education is not in mission statement-should be explicitly included in order to prevent it form being cut by budget restrictions
- public outreach is included in overall structure though
Assessing Earth Obervation Measurements in Informing Energy Sector
Completed projects- context of conference theme: evaluating usefulness of earth science data
NASA applied sciences Program- goal: find non research applications / practical uses of data for decision makers
GEO- monitoring renewable energy sources/improving forecasting
- CEOS-uses earth observation satellites to directly support near term goals of GEO
NASA POWER Project - prediction of worldwide energy resources
SSE -surface meteorology and solar energy database- 24 years of data publicly available
NASA data is global and accessible to everyone ex: through RETScreen
NREL HOMER micropower optimization model- world wide user base. computer program that simplified evaluation of nasa data like RETScreen
Tremendous solar storm (like in 1859) could knock out our modern power grid, communication system, and internet. earth observations could be used to improve forecasting ability and prepare for such an event
Initiative by Battelle to use NASA products to enhance energy utility load forecasting for both short and long term planning
Nasa data products DO have a useful role in renewable energy and energy utilities and other applications
partnerships with end users are esential to educate them and provide for their needs
Asssessing value of information depends on project under consideration
Possible next step- socio economic benefit survey
NOAA GFDL Cimate Modeling
Global to regional climate information
Horizontal and vertical grids that cover the surface of the earth.
Scientific challenges for gathering useful information
- model verification against observations
- time scales
- quantification and resolution of uncertainties
Demands of computational resources
- tradeoff of complexity vs resolution
- depends on the needs of the project
increased resolution is very important for accuracy of predictive models
- anomalies in hurricane models reduced by higher resolution increasing resolution from 2 degree to 1-1.5 degree
- Coastal current modeling can be vastly imroved
resolution will not solve every problem, only effective to a point.
End of 2011 GFDL data will be available online in archive online
2013 data will go public
GFDL
huge effort to get data into proper format
whole system not working yet
- must rewrite entire IPCC data set so system can recognize it
External
- early tests of network ongoing
- data volume a big issue- dealing with cost infrastructure and software
- too much data, hard for clients to get just a peice of it
Analysis and quantification of uncertainty for climate change decision aids: energy consumption in SW US
Climate decision aids (heating/cooling data)
Case studies using downscale of resolution for heat maxima from electrical and natural gas usage in southwestern military bases
Both showed unexpected outliers
showed that winter was having a later onset
Improving short-term forecasting for wind energy DOE NOAA Private Industry study
purpose
improve short range forcasts 0-6h of wind speed direction and turbulence at hights that effect turbines with the assumption that it can reduce cost of wind energy
fossil fuels and the economy
GDP growth correlates to oil production over the past 30 years
oil price spikes correlate with economic recessions
oil production has gone flat, no longer increasing
350 B$ a year for oil imports (9 million barrels a day)
China is increasing fossil fuel (especially coal) use exponentially
natural gas
conventional vs shale gas
renewable
wind energy is decreasing in cost already cheaper than natural gas in some areas
smart grid depends on accurate wind forecasts
NOAA data is mostly high in atmosphere not at turbine level
key to efficiency is to keep demand and generation closely balanced
recucing output from plants or shutting off plants
reducing plant production decreases effeciency higher %co2
savings from perfect forecasts would be in the billions if 20% of energy was based on wind
Problem with wind power is there is a max windspeed- after which turbine is forced to shut down. with forecasts, turbines could be shut on or off in advance to maximize energy capture and regulate traditional power plants to cover down time most effeciently
wind forecasting project
deploy federal( mostly NOAA) seonsors and measure for a year to create a model, then evaluate the model
test regions
upper midwest and texas
NOA hourly updated NWP models
current resolution - 13km grid over north america
future - high resolution rapid refresh model = 3km grid over the US
will compile detailed case studies of forecast failures