Sustainable Energy Solutions Wind Power Simulation in the Gaspésie Tim Weis, M.Sc. Sustainable Communities Group May 17, 2005 © 2005 Pembina Institute www.pembina.org Sustainable Energy Solutions About the Pembina Institute § Environmental research institute § Focused on energy development, usage, and minimizing their impact on the environment § Offices in Calgary, Drayton Valley, Edmonton, Gatineau and Vancouver § www.pembina.org 2 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions About the author § Researcher with the Pembina since 2002 § Began work in wind energy in 1999 with Master’s degree (Mechanical Engineering) focused on ice adhesion to wind turbine blades § Private consulting for Yukon Energy and Aurora Research Institute on Arctic applications of wind energy § PhD research on renewable energy development in First Nations communities 3 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Gaspésie wind power simulation § Goal Ÿ 8760 data series representative of the hourly output of the overall wind development in the Gaspésie § Assumptions Ÿ 3.17 TWh (net) delivered to grid by proposed wind farms Ÿ 15% losses due to transmission, blade degradation, turbine availability, etc. Ÿ 2004 winds are representative 4 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Methodology § “Single mast, single wind farm” approximation § 2004 Environment Canada data from Cap Chat 25 Hourly Wind Speed (m/s) 20 15 10 5 0 1-Jan 31-Jan 1-Mar 31-Mar 30-Apr 30-May 29-Jun 29-Jul 2 8 - A u g 2 7 - S e p 27-Oct 26-Nov 2 6 - D e c Date/Time 5 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Methodology § Data scaled to a hub height of 80 m and to meet the assumed overall output of 3.17 TWh generated by 660 GE 1.5 MW turbines 1600 Output Power (kW) 1400 GE 1.5 sl/e GE 1.5 s/se Linear Average 1200 1000 800 600 400 200 0 0 5 10 15 20 25 Wind Speed (m/s) 6 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Methodology § The wind turbines will be built throughout the region, and will therefore experience the same weather system at different times as it moves through the region 7 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Methodology § The geographic distribution was modeled by averaging the data over a time scale representative of the average speed weather systems move across the region – smoothes wind data § Smoothed wind data applied to the GE power curve to simulate power output 8 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Results Average output: 362 MW Capacity factor: 36% Machines produce full power 15% of the year (1,275 hours) No output for 7% (624 hours) 2500 100% Power Output (MW) Cumulative Frequency 90% 2000 1500 60% 50% 1000 40% 30% 500 20% 10% 850 800 © 2005 The Pembina Institute Power Output (MW) www.pembina.org 750 700 650 600 550 500 450 400 350 300 250 200 150 100 0% 50 0 0 9 Annual Frequency 80% 70% Hours Per Year § § § § Sustainable Energy Solutions Comments § Broadly speaking the same approach used by Hélimax1 (2005) and Hydro-Québec2 (1995) § A “single mast, single turbine” approach is a worst-case scenario in terms of variability 1 Hélimax Énergie inc. inc. Étude sur la valeur en puissance des 1 000 MW d’énergie éolienne éolienne achetés par HydroHydro-Québec Distribution 2 Lambert, R. & Marcotte, J., Évaluation de la valeur en puissance d’un parc d’éoliennes incluant l’effet de corrélation entre le vent et la demande 10 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Comments § Abrupt cut-outs a limitation of methodology 900 Wind Output (MW) 800 700 600 500 400 300 200 100 0 1/1/04 0:00 11 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Comments § Even in high winds machines will not all cut out simultaneously § Built-in buffers prevent this § Local effects such as turbulence, wakes from other machines and winds changing direction mean that individual turbines will not all “see” maximum wind speed at any given moment 12 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Comments § A smoothed power curve for a wind farm simulates this phenomenon § Example: 13 © 2005 The Pembina Institute www.pembina.org Sustainable Energy Solutions Questions? Tim Weis timw@pembina.org (780) 485-9610 www.pembina.org 14 © 2005 The Pembina Institute www.pembina.org