BC Wind Energy Feasibility Study Alissa Cullum~Chirssie Kwan~Kathleen Macdonald.

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Presentation transcript:

BC Wind Energy Feasibility Study Alissa Cullum~Chirssie Kwan~Kathleen Macdonald

Introduction Environmental Benefits of Wind Power: Does not produce hazardous wastes ● Does not produce hazardous wastes Lacks air and water emissions ● Lacks air and water emissions Does not exploit natural non-renewable resources ● Does not exploit natural non-renewable resources Economic Benefits: Rejuvenation on rural economies ● Rejuvenation on rural economies Royalties and lease payments to farmers and other land owners ● Royalties and lease payments to farmers and other land owners Reduction of ‘hidden’ costs ● Reduction of ‘hidden’ costs

Introduction Wind Power Production Incentive (WPPI) aims to bring about creation of 4,000 MW of wind energy by ● Wind Power Production Incentive (WPPI) aims to bring about creation of 4,000 MW of wind energy by Currently, Canada produces 570 MW of wind power. ● Currently, Canada produces 570 MW of wind power.

Introduction The Fortis Bank, the Petroleum Economist, and the World Energy Council: “B.C.’s wind power is possibly the best in the world.” B.C.’s favourable characteristics: ● B.C.’s favourable characteristics: Good wind resources ● Good wind resources Sufficient power grid access ● Sufficient power grid access High energy demand ● High energy demand Federal and provincial incentives, such as the WWPI and B.C.Hydro’s ● Federal and provincial incentives, such as the WWPI and B.C.Hydro’s Integrated Energy Plan ● Integrated Energy Plan

Methodology Data Acquisition ● Canadian Wind Atlas ● DMTI ● NTS

Methodology cont. Area Exclusion ● Lakes, rivers, and wetlands ● Parks, airports, landfills ● Rail lines and Cities

Methodology cont. Multi-criteria Evaluation Step 1 :Factor Scoring ● Roads ● Transmission lines ● Wind Speed ● Elevation variation

Methodology cont. Multi-criteria Evaluation Step 2:Factor Weighting ● Roads ● Transmission lines ● Wind Speed ● Elevation variation

Results Optimal Area Identification, using zonal statistics. The best area: North half of BC Best locations within this area: North central BC.

Discussion Issues ● Data ● Area Exclusion ● Factor Scoring ● Factor Weighting ●Zonal Statistics

In light of these issues how useful is our analysis? The models are consistent ● The models are consistent The methods of analysis can be used with different data ● The methods of analysis can be used with different data New siting guidelines can be used to refine our multi-criteria models ● New siting guidelines can be used to refine our multi-criteria models