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Carbon Sequestration and CTL Technology in West Virginia

Carbon Sequestration and CTL Technology in West Virginia. West Virginia GIS Technical Center Evan Fedorko. Outline. Fischer-Tropsch CTL Spatial data development Sequestration inquiry tool development http://www.WVCarb.org Site Rating Model development. Fischer-Tropsch CTL.

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Carbon Sequestration and CTL Technology in West Virginia

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  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 > coal > gas

  16. Ratings Development • Infrastructure • Sequestration X = cost per mile Z = oil > coal > 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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