Feasibility of Small Wind Turbines in Ontario: Integrating Power Curves with Wind Trends

Masaō Ashtine, Richard Bello and Kaz Higuchi
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Masaō Ashtine: Department of Geography, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Richard Bello: Department of Geography, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Kaz Higuchi: Department of Geography, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada

Resources, 2016, vol. 5, issue 4, 1-14

Abstract: Micro-scale/small wind turbines, unlike larger utility-scale turbines, produce electricity at a rate of 300 W to 10 kW at their rated wind speed and are typically below 30 m in hub-height. These wind turbines have much more flexibility in their costs, maintenance and siting, owing to their size, and can provided wind energy in areas much less suited for direct supply to the grid system. In the future under climate change, the energy landscape will likely shift from the present centralized electricity generation and delivery system to a more distributed and locally-generated electricity and delivery system. In the new system configuration, the role of relatively small sustainable electricity generators like small wind turbines will likely become more prominent. However, the small wind industry has been substantially slow to progress in Ontario, Canada, and there is much debate over its viability in a growing energy dependent economy. This study seeks to demonstrate the performance of a small wind turbine, and speculate on its potential power output and trend over Ontario historically over the last 33 years using the North American Regional Reanalysis (NARR) data. We assessed the efficiency of a Bergey Excel 1 kW wind turbine at the pre-established Kortright Centre for Conservation test site, located north of Toronto. Using a novel approach, the Bergey optimized power curve was incorporated with reanalysis data to establish power output across Ontario at three-hour resolution. Small turbine-based wind power around the Great Lakes and eastern James Bay increased during winter and fall, contributing up to 10% of the annual electricity demand in some regions in Ontario. We purport that increases in power output are driven by long-term reductions in sea and lake ice concentrations affecting atmospheric stability in surrounding regions.

Keywords: small wind turbines; NARR dataset; multi-year wind trends; wind turbine power curves; renewable energies (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2016
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