climate and energy planning

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May 12, 2010 Dr. Shailendra Kumar Northrop Grumman Information Systems Climate and Energy Planning Copyright 2011 Northrop Grumman Systems Corporation

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May 12, 2010

Dr. Shailendra KumarNorthrop Grumman Information Systems

Climate and Energy Planning

Copyright 2011 Northrop Grumman Systems Corporation

Changing Environmental ConditionsImpact All Facets of Human Existence

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Water

Climate Change Impacts

Agriculture

Growing season daysSoil moisture deficitCrop yield trendsField irrigation efficiency

Energy

Heating/Cooling Degree DaysElectricity/Natural Gas consumptionRenewables location

Fresh water availabilityWater consumptionDepth of snowpackPrecipitation evaporationPrecipitation trends

Public Health

Heat stress indexHeat wave frequencyRisk for occurrence of vector-borne diseases

Extreme precipitation eventsExtreme temperature eventsStorm Surge/Floods

Disaster Management

Sustainability

Anthropogenic impactAir, water, waste, impactControls and compliance

Transportation

Sea level rise impact on ports and shippingFood vs Fuel biofuels

National Security

Amplifies stress on weaker nationsGenerates geopolitical instabilityIncreases need for humanitarian assistance

Energy and water are central issuesCopyright 2011 Northrop Grumman Systems Corporation 5/12/11

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• 2010 QDR: Climate change, energy security, & economic security are inextricably linked• SECNAV Energy Goals: Increase alternatives afloat & ashore, sail great green fleet, reduce non-

tactical petroleum use, and acquisition excellence• Task Force Climate Change, Navy Climate Change Roadmap: Climate change is a national security

challenge with strategic implications for the Navy

Ft Bliss Ft Bliss

Planning for Renewable Sources of Energy and self-sufficiency requires energy demand projections – both average conditions and extreme events

Energy Security is a Key DOD Priority

Fort Bliss, El Paso and Ft Carson, Colorado Springs chosen by the US Army as integrated "Pilot Net Zero Installations"

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

Climate Knowledge Integration Center (CKIC):A decision support framework

Observation NetworkGEO

LEOAirborne

Surface

In Situ

Societal Benefit Area Information Users

EnvironmentalPortals

Observation Network

Climate Knowledge Integration Centers

National Security Infrastructure

Virtual Data Cube Concept

4Decision Support framework designed for Climate Change Management

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

CKIC: A Systematic and Holistic Approach

Global Climate Models/ Observations

Regional Downscaling

Climate Parameters Analysis perUser Specified Bounds

Decision Support System Product Generation &

Visualization Tools

User DisplayCustomer GUI

Service requests

User experience

Uncertainty Quantification

User specific engineering output with uncertainty and risk assessment

User Requirements

(Open Standards)

Actionable information

System development

feedback

Model Data Records

Mission Specific Data

Application Data Records

User Needs DrivenDecision Support

System

User Engineering

Delivers climate science to the end user community … a standards based, repeatable and enduring solution

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Composite dataset w/ means and variances

• Historical reanalysis• Model validation• Future period runs

Initial and Boundary Conditions

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

CKIC Proof-of-concept (2010):NGC Study for Impact on Military Installations in Colorado Springs

6Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

Peterson AFB & Ft Carson:Natural Gas and Electrical Consumption

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1992 1997 2002 2007

Ft Carson Natural Gas Consumption KCF

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2000

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6000

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10000

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1992 1997 2002 2007

Ft Carson Electrical Consumption MWH

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

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CKIC Proof of Concept: Energy Use Modeling

1. Models Driven by Real World Data• Monthly Historical records of energy use• NCEP/WRF downscale historical HDDs and CDDs• Other user-provided data (e.g., square footage)

Result is an Accurate Model of Historical Energy Consumption

2. Modeling guided by Analytical Insights• Data show trends over time with complex shapes• Sensitivity of both Electrical and Gas use to both warm and cold temperatures• Fourteen parameter regression using time, floor space, and HDD/CDD data

3. Solving the Model• Robust Regression Solution• Outlier Detection• Goodness-of-fit

4. Future Energy Use from Model• Future climate data are bias corrected based upon the current period• Confidence data are produced by the model to bound uncertainty

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

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CKIC Proof of Concept: Fort Carson & Peterson AFB Energy Demand

ECHAM5 / WRF Regional Modeling

Regional modeling builds HDD / CDD predictions which are then used to generate forecasts for changes in energy demand

Annual Energy use

Current2000-2009

Future2030-2039

Electricity GWhr 134.65 135.20

Natural Gas Millions CF 1192.16 1134.21

Peterson AFB

Fort Carson

Annual Energy use

Current2000-2009

Future2030-2039

Electricity GWhr 87.72 88.25

Natural Gas Millions CF 268.23 255.19

0

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200

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500currentfuture

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1200currentfuture

Monthly average cooling degree days Monthly average heating degree daysPeterson AFB/Fort Carson area

Note:Future EnergyDemand reflects climate change impact only!

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

US Southwest/ Military Installations: Uncertainty Representation (HDD/CDD, Energy usage)

Methodology:• Perform systematic statistical analysis to

estimate means, variances, extreme values, and standard errors

• Carry statistical analyses through to user-impact assessments

(b) Model Energy usage from Heating and Cooling degree days(c) Produce Graphical displays of Change

Signatures with confidence intervals(d) Provide detailed analytical reports for engineering-level analysis (probability distirbutions, parameterizations, as required by the specific users)

(a) Create statistical summary output databases for relevant derived parameters (expected value and standard error)

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Engineering Level Uncertainty Expressed as Confidence IntervalsCDD σCDD

HDD σHDD

July

Janu

ary

Mill

ions

of

Cubi

c Fe

et

Copyright 2011 Northrop Grumman Systems Corporation 5/12/11

Climate Change Projections for US Southwest:Future (2030-2039) Minus Current (2000-2009)

inches

Average daily precipitation decrease by ~10-13 % Average snow fall decreases in mountain areas

Reduced annual mean accumulated snow in mountain ranges, snow falling at higher elevations creating less snowpack, and melting earlier in the year result in less fresh water availability.

When several dry years create drought conditions, reservoir levels can be reduced to levels lower than those required for hydroelectric power generation.

Hoover Dam hydropower generation may be impacted

Copyright 2011 Northrop Grumman Systems Corporation 5/12/1111

Summary

Both energy demand and supply need to be managed…

• Increased energy usage for cooling and air conditioning– Can lead to electricity shortages and blackouts – Requires conservation

• Limited energy availability for air conditioning and refrigeration– Heat stress affects operations– Increased risk of food-borne illnesses

• Climate change is projected to influence wind, cloud, and precipitation patterns– Affecting power levels from wind turbines, photovoltaics, and

hydropower – Reducing biomass feed-stocks due to decreased water levels and

increased wildfire

Integrated information management is needed to develop adaptation and mitigation strategies and planning energy security

Copyright 2011 Northrop Grumman Systems Corporation 5/12/1112