| Title | Biogas Optimization Project |
|---|---|
| Author | John.Fay@duke.edu |
| Date | Summer 2019 |
An ArcPy based workspace to compute an optimized pipeline configuration connecting biogas sources to existing natural gas pipelines in southeast North Carolina.
- CSV file of known biogas sources: lat/long coordinate pairs and annual biogas production estimates (mmBTU/year)
- Feature class of existing natural gas pipeline and/or connection points
- Raster cost surface for constructing pipeline
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Geopandas: for working with spatial features
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Scikit-image: for computing cost distances
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For each biogas source location:
- Compute a cost distance raster away from it: store as Numpy array
- Add it to a stack of cost distance Numpy arrays
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From the stack of Numpy arrays:
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Identify the "break even" areas from each source for a given energy price:
- Convert biogas production to $$
- Identify cost distance areas falling within this $$
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