Early efforts in man’s quest to harness the raw power of
earth bore the resemblance of child-like bewilderment. Drill a hole here, put a
wind mill up there. Evaluate. Adjust. Relocate. Repeat. Trial and error were
the inefficient order of the day without any thought to the consequences. Today’s
information-driven approach minimizes both the fiscal and physical impacts. Information
Technology, partnered with science, changed the very nature of energy
exploration and the resultant profitability of its exploitation. One particular
offspring of this partnership is the advent of geographic information systems
(GIS), simply described as “a computer system capable of assembling, storing,
manipulating, and displaying geographically referenced information” (Stair &
Reynolds, 2014) .
Wind farming remains one particular explorative endeavor embracing
technology. According to U.K.-based consultant Samuel Clark, GIS “methodologies
which combines database information with mapping and modeling is at the heart
of the process” (Clarke, 2013) . Such capabilities
enable leadership to visualize, analyze, and interpret human impacts on the
natural environment. Additionally, it offers increased efficiency, better
decision making, improved communications, and better record keeping (Environmental
Systems Research Institute, n.d.) . America currently
leads the world in harnessing the power of the wind.
Wind farm design constraints primarily consider available
wind resources, noise, aviation, air defense, electrical connectivity and electromagnetic
interference (Clarke, 2013) with additional
constraints evaluating terrain, public acceptance, proximity to protected
areas, site accessibility, proximity to the (electrical) grid, availability of
installation equipment (Ouma, 2012) . As opposed to the
agricultural constraints considered by the placement of a chicken farm, wind
farms embrace a coexistence with for-profit agricultural endeavors. Consider
that “a standard wind farm of 20 turbines will extend over an area of about 1
square kilometre (sic), but only 1% of the land is used...The rest of the land
can be used for farming or natural habitat” (Wind Measurement International,
n.d.) .
Additionally, landowners can repeat additional financial rewards by subletting
their property.
The table provided below provides comparable constraints
and preferences easily identified by the employment of GIS technology via the association
of concerns across two different human endeavors.
Chicken Farm
Location Constraints:
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Wind Farm Location
Constraints
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Primary
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Primary
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Chicken Farm
Location Preferences
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Wind Farm
Location Preferences
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Reference List
Clarke, S. (2013). Finding the Perfect Site for a
Wind Farm. Retrieved from EngineerLive:
http://www.engineerlive.com/content/22779
Environmental Systems Research Institute. (n.d.). What
is GIS? Retrieved from ESRI.com: http://www.esri.com/what-is-gis
Ouma, C. (2012). Assessing Locations for Wind Power
Generation. Retrieved from ExploringGreenTechnology.com:
http://exploringgreentechnology.com/wind-energy/assessing-locations-for-wind-power-generation/
Stair, R. M., & Reynolds, G. W. (2014). Fundamentals
of Information Systems (8th ed.). Boston: Cengage Learning.
Wind Measurement International. (n.d.). FAQ.
Retrieved from windmeasurementinternational.com:
http://www.windmeasurementinternational.com/wind-info/wind-energy_faq.php
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