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Incorporating Uncertainty Analysis, Spatial Resolution, and Temporal Resolution in Life Cycle Assess

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Title: Incorporating Uncertainty Analysis, Spatial Resolution, and Temporal Resolution in Life Cycle Assess


1
Incorporating Uncertainty Analysis, Spatial
Resolution, and Temporal Resolution in Life Cycle
Assessment
  • Shannon M. Lloyd
  • Lanka W. Thabrew
  • Robert J. Ries
  • Department of Civil Environmental Engineering
  • University of Pittsburgh

2
Life Cycle Assessment
Goal and scope
Inventory(LCI)
Interpretation
Impact(LCIA)
3
Common Approach to LCA
Use deterministic models to calculate inventory
Fails to capture the variability and uncertainty
in input data, normative choices, and
mathematical relationships
Aggregate inventory across life cycle (space and
time)
Isolates the analysis from its context (e.g.,
varying intensities of resource use, releases,
and impacts)
Estimate potential impact based on average
characterization factors
Local, regional, national, or global
characterization factors may be more appropriate
for some impacts
4
Common Approach to LCA
  • Questions
  • How reliable are LCA results?
  • How meaningful are LCA comparisons?
  • Decision Makers
  • Uncertainty in and divergence between LCA
    outcomes
  • An understanding of spatial and temporal
    tradeoffs

5
Proof of Concept LCA modelunder uncertainty with
temporal and spatial resolution
  • Application
  • Residential buildings in Pittsburgh, PA
  • Operational impacts, e.g., water heating
  • Inventory
  • Air emissions
  • Geographical inventory
  • Temporal scale (varying intensities)
  • Modeling Software
  • Analytica (hierarchical nested modules and Monte
    Carlo simulation)

6
Hierarchy of Nested Modules
7
Hierarchy of Nested Modules
8
Hierarchy of Nested Modules
9
Hierarchy of Nested Modules
10
Modeling Water Use
  • References
  • Lutz et al., "Modeling Patterns of Hot Water Use
    in Households," Ernest Orlando Lawrence Berkeley
    National Laboratory, LBL-37805 Rev., November
    1996.
  • Pinckard et al., "Documentation of Calculation
    Methodology and Input Data for the Home Energy
    Saver Web Site," Ernest Orlando Lawrence Berkeley
    National Laboratory, November 2003.

11
Average Modeled Water Use
Liters
12
Modeling Energy Use per Hour PGE Model
  • Reference
  • Pacific Gas and Electric Company, "Code Change
    Proposal for Hourly Water Heating Calculation",
    Draft May 15, 2002.

13
Modeling Energy Use Per Hour LBL Model
  • Reference
  • Pinckard et al., "Documentation of Calculation
    Methodology and Input Data for the Home Energy
    Saver Web Site," Ernest Orlando Lawrence Berkeley
    National Laboratory, November 2003.

14
Hot Water Thermal Energy Consumption
kJ
15
Residential Natural Gas Life Cycle
At or near wellhead
Nat gas extraction
Separation (oil condensate)
Liquid water removal
Between wellhead and plant
Gathering pipes
Centralized processing plant
Water vapor removal
Separation of natural gas liquids
Sweetening
Between processing plant and consumers
Residential
Combustion
Interstate intrastate pipelines
Storage, compressor stations, liquid separators,
metering stations, valves
Distribution system
16
Natural Gas Flow in the U.S
Source Energy Information Administration/Natural
Gas Annual 2003
17
Abbreviated Natural Gas Pipelines to SW PA
PA
WV
KY
TN
MS
AL
TX
LA
Gulf of Mexico
18
Abbreviated Natural Gas Pipelines to SW PA
PA
WV
KY
TN
MS
AL
TX
LA
Gulf of Mexico
19
Abbreviated Natural Gas Pipelines to SW PA
PA
WV
AL
TX
LA
Gulf of Mexico
20
Assumed Natural Gas Origination
21
Methane Emissions
  • Interstate movements of natural gas by state
  • Natural gas dry production by state
  • Distance between the geographic centers of states
  • Geographic size of state

Methane emissions per volume natural gas distance
traveled
  • Natural gas composition

22
Uncertainty - Annual Methane Emissions
23
Life Cycle Impact Assessment (LCIA)
  • Impact of methane expressed with a
    characterization factor (CF) developed in the
    IMPACT 2002 program in ethylene eq. / kg
  • Source IMPACT 2002 version 2.0 (March 2004)
    (Pennington et al. 2003), (Goedkoop and Spriensma
    2000), (Guinée et al. 2002) and IPCC
  • Traditional LCIA
  • Impact SCFi Releasei

24
Spatial and Temporal LCIA
  • Tropospheric Ozone Impact Model
  • The effect of weather variability is expressed as
    ozone formation potential
  • Calculated based on three hourly parameters for
    weather
  • relative humidity
  • temperature
  • windspeed
  • Reference Chock et al. "An Analysis of Trends in
    Oxidant Air Quality in the South Coast Air Basin
    of California." Atmospheric Environment 16 (11)
    pp. 2615-2624, 1982
  • Impact SCFi Releasei ozone formation
    potentiali

25
Traditional LCIA Annual
26
Spatial and temporal LCIA Annual
27
Traditional LCIA Annual
28
Spatial and temporal LCIA Annual
29
Traditional/Spatial and temporal LCIA Annual
30
Traditional LCIA Daily
On a typical day in July
31
Spatial and temporal LCIA Daily
On a typical day in July
32
Traditional/Spatial and temporal LCIA Daily
On a typical day in July
33
Annual Impact
34
Next Steps
  • Additional analysis of intermittent building
    systems
  • Explore the use of ArcView for visual
    representation
  • Evaluate temporally and spatially informed
    methods for non-point emissions
  • Develop additional temporally and spatially
    informed characterization factors
  • Compare results to aggregated LCIA
  • Compare results to average characterization
    factors

35
Publications and presentations
  • Survey of quantitative approaches for
    characterizing, propagating, and analyzing
    uncertainty in life cycle assessment, accepted,
    Journal of Industrial Ecology.
  • Incorporating spatial and temporal resolution in
    the life cycle inventory of residential buildings
    using hierarchical modules, in Dynamics of
    Industrial Ecosystems edited by Matthias Ruth and
    Brynhildur Davidsdottir.
  • Incorporating uncertainty analysis, spatial
    resolution, and temporal resolution in
    environmental life cycle assessment, presented
    to the National Risk Management Research
    Laboratory, U.S. Environmental Protection Agency,
    Cincinnati, OH, May 17.
  • Incorporating uncertainty analysis, spatial
    resolution, and temporal Resolution in life cycle
    assessment of residential buildings, presented
    at the third International Conference of the
    International Society for Industrial Ecology,
    June 12-15.

36
Contact Information
Shannon M. Lloyd sml_at_firstenvironment.com Lanka
W. Thabrew lwt1_at_pitt.edu Robert J.
Ries robries_at_pitt.edu
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