Carbon Sequestration and CTL Technology in West Virginia - PowerPoint PPT Presentation

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Carbon Sequestration and CTL Technology in West Virginia

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To develop this tool, we must undergo raster conversion. Total sequestration (metric tons) must be converted to: Metric tons PER 90m pixel ... – PowerPoint PPT presentation

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Title: Carbon Sequestration and CTL Technology in West Virginia


1
Carbon Sequestration and CTL Technology in West
Virginia
  • West Virginia GIS Technical Center
  • Evan Fedorko

2
Outline
  • Fischer-Tropsch CTL
  • Spatial data development
  • Sequestration inquiry tool development
  • http//www.WVCarb.org
  • Site Rating Model development

3
Fischer-Tropsch CTL
  • Aka, coal liquefaction, coal to liquids, CTL
    synfuels, etc. Two primary methods

ONE
TWO
4
Data Development
  • Infrastructure Data
  • Sequestration Data
  • Source WVGES
  • Sequestration potential per unit area
  • Will be implemented into NatCarb.org

5
CTL Infrastructure Requirements
  • Standard stuff electricity, roads, coal supply,
    etc.
  • Water, water, water! to move!
  • Carbon sequestration proximity. to move!
  • Existing pipelines.

6
Natural Gas Sequestration
7
Deep Coal Sequestration
8
Sequestration Per Unit Area
  • Source data shapefile polygons blobs with a
    number attribute of capacity
  • At a specific point
  • How much carbon dioxide can be sequestered
    within X distance?
  • Problems!

9
Sequestration Per Unit Area
  • To develop this tool, we must undergo raster
    conversion.
  • Total sequestration (metric tons) must be
    converted to
  • Metric tons PER 90m pixel
  • S per 90m sequestration/(area sq. m/8100)
  • 90 meter pixels result in values within 2 of
    actual.

10
Tool Development
  • Data development has been driven by the need to
    answer this question
  • How much carbon can we put in the ground within
    10 miles of THIS point?

11
Sequestration Explorer
12
Website Development
http//www.wvcarb.org
13
Ratings Development
  • Goal To rate (1-100) sites in West Virginia for
    their suitability to host a CTL facility.
  • Model will be scripted, repeatable, and variables
    can vary as necessary.
  • Model is constructed around weighted distance
    decay functions.
  • Carbon sequestration decays by distance, volume
    and economic value.
  • Infrastructure decays by distance and cost.

14
Ratings Development
  • Rating sequestration neighborhoods
  • Option 1 given a need for a predetermined
    amount of sequestration, what size neighborhood
    do we need?
  • Use radius in a distance decay function
  • Difficult to calculate
  • Statistically over-values sequestration
    variables
  • Option 2 given a need for a predetermined
    amount of sequestration (10 years of CTL
    production), and several neighborhood sizes (1,
    5, 10, 20 miles), which sites offer the MOST
    sequestration in the SMALLEST neighborhood?

Radius ?
R 1, 5, 10, 20 miles Q ?
15
Ratings Development
  • Sequestration
  • can be retrieved with an existing GIS
    function, neighborhood analysis, focal
    statistics. Calculates a sum within a
    neighborhood.
  • Somewhat resource intensive to calculate

X cost per mile Z oil gt coal gt gas
16
Ratings Development
  • Infrastructure
  • Sequestration

X cost per mile Z oil gt coal gt gas
17
Ratings Development
  • Final ratings equation, sum of all weights

D-R-A-F-T
18
Future Work
  • Inclusion of a click and rate tool for
    potential CTL sites
  • Model refinement
  • New research into distance metrics for
    sequestration
  • New energy economy data clearinghouse

19
Summary
  • We discussed
  • Spatial data development
  • Sequestration inquiry tool development
  • http//www.WVCarb.org
  • Site Rating Model development
  • Questions?
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