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This project aims to determine the topographic suitability of small-scale solar energy in British Columbia, and identify remote areas that are potentially well-suited for such systems. The study explores the advantages of solar energy over conventional sources and evaluates economic viability. Methodology includes analyzing elevation and solar radiation data, population density, and proximity to transmission lines. The discussion highlights data issues, criteria evaluation, assumptions, and possible scenarios, emphasizing the need for further research.
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Solar Energy Potential in British Columbia Geography 376 Project Alan Wiebe
Abstract • Determine topographic suitability of small-scale solar energy in BC • Identify remote areas in BC that are possibly well-suited for small-scale solar energy
Introduction • Three main categories of solar energy are: • Heating and cooling, • Producing electricity, • Chemical processes
Introduction • Advantages of solar energy over conventional sources: • Produced at nearly no charge • Requires no connection to local grid • Unlimited energy supply • Produces no emissions • Displaces use of conventional energy • Open for all to harness!
Introduction • Three forms of solar energy (as per Natural Resources Canada): • Active solar energy • use of a medium (air, water) • Passive solar energy • strategic placing of windows • Photovoltaic energy • semiconductor devices • energy conversion
Introduction • Economic viability • most viable in remote locations • decreasing costs of production • (since 1980s) • approx. 1/6th of population of BC lives in rural areas (~600,000)
Methodology • Data used • 2001 Census data • Elevation data (DEM) • Roads, rail lines • Lakes, wetlands, parks • Solar radiation (shortwavc.aml)
Methodology • Area Omissions • lakes, wetlands, parks (no buffer) • roads, rail lines (buffered by 10m)
Methodology - Criteria Evaluation • Aspect • Scaled Aspect = [Cos(Aspect)+1]*5 • Solar Radiation • Average for year • Population Density • Census Division (28) • Transmission Line Proximity • Linear distance (up to 560 km)
Methodology • Ran 6 scenarios • Assigning different weights to 4 variables
Discussion • Data Issues • Missing data • Inconsistent/unknown age of sets • Resolution (raster and vector) • Solar radiation data – AML script
Discussion • Criteria Evaluation • Assumptions (linear/non-linear relations) • Low score-value range • Actual value classification • Possible Scenarios • Arbitrary factor weights • Results • Compounding errors