Environmental Engineering Reference
In-Depth Information
admittedly arbitrary, they are derived from common GIS analysis for site selection in
the energy industry, and we believe any reasonable set of decision rules would provide
qualitatively similar results. In general, we looked at both the supply of a particular
resource (e.g., how much sunlight is there?) and the demand (e.g., how far away is the
nearest electric transmission line to carry the power to market?). We then calculated
how much of each geographic region was in the three categories (excellent, good, and
poor) using ESRI ArcGIS ZonalStatistics commands. Next, we assumed that the area
of energy development in each geographic region was proportional to the area clas-
sifi ed as excellent in that region. If all areas categorized as excellent were developed
without meeting the total areal target, the remaining development was assumed to
“spill-over” to the good category, where it was similarly divided among geographic
regions.
KEYWORDS
•
Climate policy
•
Core Cap-and-Trade Scenario
•
Energy conservation
•
Energy Information Administration
•
Land-use intensity
AUTHORS' CONTRIBUTIONS
Designed the project, completed portions of the analysis, and wrote the chapter: Robert
I. McDonal. Analyzed biofuel and biomass trends: Joseph Fargione. Analyzed trends
in oil and natural gas exploration: Joe Kiesecker. Analyzed trends in solar power gen-
eration: William M. Miller. Designed the project: Jimmie Powell.
ACKNOWLEDGMENTS
We thank M. Wolosin, P. Kareiva, J. Hoekstra, and B. Thomas for reviewing earlier
drafts of this manuscript. J. Slaats provided GIS support for this project. We thank
all of the organizations that created data that made this analysis possible, including:
NETL, DOE NREL and EERE, NASA, USGS, and Ventyx Corporation.
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