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Found 10 records similar to Wind Turbine Noise
The Canadian Wind Turbine Database contains the geographic location and key technology details for wind turbines installed in Canada. This dataset was jointly compiled by researchers at CanmetENERGY-Ottawa and by the Centre for Applied Business Research in Energy and the Environment at the University of Alberta, under contract from Natural Resources Canada. Note that total project capacity was sourced from publicly available information, and may not match the sum of individual turbine rated capacity due to de-rating and other factors. The turbine numbering scheme adopted for this database is not intended to match the developer’s asset numbering.
Health Canada conducts research to assess the potential health risks from noise as part of its role in administering the Radiation Emitting Devices Act, which governs the radiation safety of products that are imported and sold in Canada, including products emitting acoustical radiation (noise).
Data presented at the national and provincial levels, however not all combinations are available. Electric power generating capacity by class of electricity producer (public and private electric utilities, as well as industries) and type of electricity generation (Hydraulic turbine, Wind power turbine, Tidal power turbine, etc).
This map displays the risk of soil degradation by wind in the agricultural region of Alberta. Wind erosion is a concern because it reduces soil quality by removing soil nutrients, smaller soil particles and organic matter. Wind erosion can reduce air quality during extreme erosion events and also reduce water quality if eroded particles drift into streams and lakes. The map uses five classes to describe the wind erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe.
Electricity generation by class of electricity producer (including electric utilities and industries) and type of electricity generation (hydro, wind, hydraulic turbine, etc). Data presented at the national and provincial levels, not all combinations are available.
Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships such as evapotranspiration, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors.
This map shows the 630 generating stations operated by utilities, with the stations being classed by their operating technology. The seven technologies shown represent water-power (hydro-electric and tidal), conventional thermal (internal combustion, combustion turbine, and steam), nuclear, and alternative fuels (wind energy).
The Pan-Canadian Wind Integration Study (PCWIS), completed in 2016, assessed the operational and economic implications of integrating large amounts of wind energy into the Canadian electricity system. The PCWIS study generated a significant amount of high-resolution modelled wind data at many locations across Canada. This dataset contains over 54,000 “cells”, with each cell representing one node on a 2×2 km grid. Each cell has an associated time history of three years of modelled wind data, from 2008 to 2010, at 10-minute intervals.
Noise can be defined as any unwanted sound. Sources of noise include aircraft, road vehicles, rail cars, construction and landscaping equipment, home and car stereo systems, media players, household appliances, and power tools.
The wind speed layer shows the modeled wind speed [m/s] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 m/s each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.