Analysis Frameworks for Sustainability: Linking Energy and the Environment Rudolf B. Husar Director, Center for Air Pollution and Trends Analysis (CAPITA) Professor, Department of Energy, Environmental & Chemical Engineering EECE Seminar, Friday, November 2, 2007, 11:00am, Lopata 101, Washington University

Rudolf B. Husar

Director, Center for Air Pollution and Trends Analysis (CAPITA) Professor, Department of Energy, Environmental & Chemical Engineering

EECE Seminar, Friday, November 2, 2007, 11:00am,

Lopata 101, Washington University

Integrative Science and Engineering for ‘Grand Challenges’ The problems of Energy and Environment (EE) are Grand Challenges Solutions require engineering, biological, socio-economic and other sciences A rigorous and practical integrated framework for EE is not available This is an exploration of frameworks for integrated Energy Environmental Analysis Interested in the EE integration challenge? Join us on the wiki !

The problems of Energy and Environment (EE) are Grand Challenges

Solutions require engineering, biological, socio-economic and other sciences

A rigorous and practical integrated framework for EE is not available

Sustainable Development (SD) A process of reconciling society’s developmental needs with the environmental limits over the long term. But, What should be developed , what should be sustained? SD as an uncertain and adaptive process, “in which society's discovery of where it wants to go is intertwined with how it might try to get there”. During the SD ‘ journey ’ toward sustainability, the pathways have to be ‘ navigated ’ adaptively Continuing the metaphors, science is the compass, giving the directions and laws-regulations are the gyroscope for staying on course . National Academy, 1999

A process of reconciling society’s developmental needs with the environmental limits over the long term. But, What should be developed , what should be sustained?

SD as an uncertain and adaptive process, “in which society's discovery of where it wants to go is intertwined with how it might try to get there”.

During the SD ‘ journey ’ toward sustainability, the pathways have to be ‘ navigated ’ adaptively

Continuing the metaphors, science is the compass, giving the directions and laws-regulations are the gyroscope for staying on course

.

Life and non-life on Earth form a combined system (Gaia Theory) Carbon, nitrogen, phosphorus, calcium are in constant circulation between the earth’s major environmental compartments Earth’s compartments remain in balance as long as the rate of flow of matter and energy in and out of the compartments is unchanged. Changes in the environmental compartments will occur if the circulation (in and out flow) of the substances is perturbed. Atmospheric CO 2 has been increasing because the rate of input is larger than the rate of output from the atmosphere.

Major Biogeochemical Processes Visualized by Aerosols Dust storms Volcanoes Anthropogenic pollution Fires Anthropogenic pollution perturbs the natural processes and material flows

Analysis Frameworks Sensory-Motor Feedback Loop (System Science; Regulatory) Causality Loop (Combined Social-Physical-Biological System) Biogeochemical Cycling Loop (Engineering; Biology; Conservation Laws) Assessment Controls Monitoring

Sensory-Motor Feedback Loop

(System Science; Regulatory)

Analysis Framework I: Sensory-Motor Loop Assessment Compare to Goals, Plan Reductions Track Progress Controls (Actions) Monitoring (Sensing) Set Goals Assessment turns data into knowledge for decision making & actions through analysis (science & eng.) Monitoring collects multi-sensory data from surface and satellite platforms and Human activities exert pressures , e.g burning fossil fuels, that alter the state of environment. The impaired environmental state, elicits responses , such as regulations in a feedback loop All living organisms use this type of sensory-motor feedback to maintain their existence. Monitoring, Assessment, Control are the necessary steps for sustainable development.

Monitoring: New Global Measurements - Satellites ERBS Terra Aqua Grace IceSat QuikScat Sage SeaWinds TRMM Toms-EP UARS Jason Landsat 7 SORCE SeaWiFS ACRIMSAT TOPEX/Poseidon EO-1

Eskes at al, 2006 Source Identification: - Man-made, Soil, Biomass, Lightning - Seasonal pattern of each Trend 1995-2005: - Reductions in N. America & Europe - Increase over East Asia (China) Monitoring Global Change: Tropospheric NO2 Measurements from Satellites:

Analysis of OMI satellite NO2 observations: NO 2 Weekly Cycle Weekend/weekday NO2 patterns associated with reduced Sunday emissions See screencast (1 minute) The revolutions in sensing and data distribution now allow the monitoring and analysis of the chemical weather and climate over the Earth.

Setting Goals: Air Quality Goal: Attaining Natural Condition by 2064

Controls: Sustainability Transition

Analysis Framework II: Materials & Energy Flow Loop

Analysis Framework II:

Materials & Energy Flow Loop

Biogeochemical Cycles - Carbon

Nitrogen Cycle

Consequences of Ecosystem Changes

How and what to Control?? Analysis Framework III – Causality Loop Economic Development with Due Care of the Environment The system approach links human activities and their consequences in closed loop It is the minimum set of linked components – if any missing, the system is crippled Each component depends on its causal upstream driver – and external environment The causal loop can be used as an organizing principle for sustainability analysis

The system approach links human activities and their consequences in closed loop

It is the minimum set of linked components – if any missing, the system is crippled

Each component depends on its causal upstream driver – and external environment

The causal loop can be used as an organizing principle for sustainability analysis

Analysis Framework III – Causality Loop Economic Development with Due Care of the Environment Health-Welfare Energy-Environment Socio-Economic

Causality: Linear System Model

Trend of Indicators SOx = Pop x GDP/P x Btu/GDP x Sox/Btu 1960s 1980s 1990s

SOx = Pop x GDP/P x Btu/GDP x Sox/Btu

Population - Energy/Goods Consumption– Materials Flow - Emissions E k =  c jk EM j =   b ij c jk GE i =    a i b ij c jk P Industr. Energy Transp. Energy ResCom.Engy Coal Oil Gas Electric Energy SOx NOx HC PM Goods &Energy,(GE) i Fuels&Mater.(FM), j Emission (EM), k Ind. Chemicals Industr. Goods Pop., P Metals Mercury a i Consump./Person b ij Fuels/Energy c jk Emission/Fuel- j j i i i j Consumption of Goods and Energy: GE =  a i P Fuels and Materials Flow: FM =   a i b ij P Emission of Pollutants: EM =    a i b ij c jk P Industrial Prod. Transportation ResComercial EconMeasure(EM)

E k =  c jk EM j =   b ij c jk GE i =    a i b ij c jk P

Coal Production and S Content

Coal Sulfur Flow in 1980 and 1998 In 1980, a major flow of sulfur in coal originated in Illinois and was transported to Florida Arrows indicate the flow of coal from the mines to the consumer By 1990, the transport of high sulfur coal from the Midwest has bee replaced by low sulfur western coal

In 1980, a major flow of sulfur in coal originated in Illinois and was transported to Florida

By 1990, the transport of high sulfur coal from the Midwest has bee replaced by low sulfur western coal

Pollutant Transfer by Fuels and Minerals: Spatial Transfer Matrices

Carbon Emission Drivers for Transportation 1960-2003 Env 449 Class project, SP 2007 The C emission in transportation sector increased 200% since 1960 The upward drivers were Population, Vehicle/Person and Passenger miles The slight improvement resulted from the better fuel energy efficiency/vehicle

The C emission in transportation sector increased 200% since 1960

The upward drivers were Population, Vehicle/Person and Passenger miles

The slight improvement resulted from the better fuel energy efficiency/vehicle

Carbon Emission Drivers for US Housing The carbon emissions in the housing sector increased 23% since ‘Kyoto’ (1990-2005) The upward drivers were Population, Housing Units/person and Surface Area /person. The key improvement (13%) resulted from the better energy efficiency/sqft Env 449 Class project, SP 2007

The carbon emissions in the housing sector increased 23% since ‘Kyoto’ (1990-2005)

The upward drivers were Population, Housing Units/person and Surface Area /person.

The key improvement (13%) resulted from the better energy efficiency/sqft

Summary Frameworks for Energy-Environment Integration: Sensory-Motor Feedback Loop (System Science) Biogeochemical Cycling Loop (Materials Balance) Causality Loop (Socio-economic, Physical, Heatlh/Welfare Sciences) Opportunities: There is a sensing revolution for monitoring energy-environmental systems The web facilitates accessing and metabolizing the new observations There is a more collaborative culture for faster, adoptive learning Key Challenges: Augmenting reductionist science with integrative systems science Enhancing information exchange and synergy between disciplines Inherent structural and dynamic complexity of environmental systems

Frameworks for Energy-Environment Integration:

Sensory-Motor Feedback Loop (System Science)

Biogeochemical Cycling Loop (Materials Balance)

Causality Loop (Socio-economic, Physical, Heatlh/Welfare Sciences)

Opportunities:

There is a sensing revolution for monitoring energy-environmental systems

The web facilitates accessing and metabolizing the new observations

There is a more collaborative culture for faster, adoptive learning

Key Challenges:

Augmenting reductionist science with integrative systems science

Enhancing information exchange and synergy between disciplines

Inherent structural and dynamic complexity of environmental systems