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The purpose of this dataset is to show location-specific estimated annual energy production for typical utility-scale wind power facilities in the state of Oregon. It is used as the basis for energy modeling by E3 for the report “Oregon Department of Energy Oregon Renewable Energy Market and Industry Assessment Report” (March 2021).
This dataset was developed to help build an understanding of the opportunities and constraints that come with specific locations in Oregon. The state can use this information to continue to support renewable energy growth and economic development.
While facilitating renewable development to meet state and local objectives over the next ten to fifteen years is a worthy goal unto itself, it takes on an even greater significance in the context of Oregon’s long-term climate goals, which include a target to reduce greenhouse gas emissions by 80% relative to 1990 levels by 2050. Achieving this goal will require a number of significant economy-wide transitions that are already beginning and likely to grow over the next decade, and must accelerate through 2050, several of which directly implicate the need to scale the supply of renewable generation rapidly as well. While a portion of this need may be met by resources developed outside the state of Oregon, ensuring that the renewable industry in Oregon is healthy and thriving – and that the processes that surround it are conducive to growth and expansion – are crucial to the state’s climate goals. With this in mind, this study represents an important step to understand the state of the renewable energy development landscape in Oregon, the challenges and opportunities that exist for renewable energy development in Oregon, and identify the gaps that can be addressed in the various processes and procedures needed to support achievement of Oregon’s long-term goals.
For more details see the Oregon Renewable Energy Assessment Final Report: https://oe.oregonexplorer.info/externalcontent/reports/ORESA_Final_Report.pdf |
| summary:
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The purpose of this dataset is to show location-specific estimated annual energy production for typical utility-scale wind power facilities in the state of Oregon. It is used as the basis for energy modeling by E3 for the report “Oregon Department of Energy Oregon Renewable Energy Market and Industry Assessment Report” (March 2021).
This dataset was developed to help build an understanding of the opportunities and constraints that come with specific locations in Oregon. The state can use this information to continue to support renewable energy growth and economic development.
While facilitating renewable development to meet state and local objectives over the next ten to fifteen years is a worthy goal unto itself, it takes on an even greater significance in the context of Oregon’s long-term climate goals, which include a target to reduce greenhouse gas emissions by 80% relative to 1990 levels by 2050. Achieving this goal will require a number of significant economy-wide transitions that are already beginning and likely to grow over the next decade, and must accelerate through 2050, several of which directly implicate the need to scale the supply of renewable generation rapidly as well. While a portion of this need may be met by resources developed outside the state of Oregon, ensuring that the renewable industry in Oregon is healthy and thriving – and that the processes that surround it are conducive to growth and expansion – are crucial to the state’s climate goals. With this in mind, this study represents an important step to understand the state of the renewable energy development landscape in Oregon, the challenges and opportunities that exist for renewable energy development in Oregon, and identify the gaps that can be addressed in the various processes and procedures needed to support achievement of Oregon’s long-term goals.
For more details see the Oregon Renewable Energy Assessment Final Report: https://oe.oregonexplorer.info/externalcontent/reports/ORESA_Final_Report.pdf |
| accessInformation:
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NREL, E3 - Energy and Environmental Economics, Inc., Energy Reflections, Andrew Pascale |
| thumbnail:
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| maxScale:
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288895.277144 |
| typeKeywords:
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["ArcGIS Server","Data","Image Service","Service"] |
| description:
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<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This dataset provides indication of wind resource potential, in terms of quality and quantity, for the State of Oregon.</SPAN></P><P><SPAN>Values are reported in terms of estimated annual capacity factor, a measure of wind resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW solar power plant with 21% capacity factor would generate 100 MW x 8760 hrs/yr x 21% = 183,960 MWh/yr.</SPAN></P><P><SPAN>Analysis steps included the following: </SPAN></P><P><SPAN>1) Obtain raw wind data from the National Renewable Energy Lab [1], </SPAN></P><P><SPAN>2) Use ESRI “inverse distance weighting” geoprocessing to convert from points (vector format) to continuous surface (raster format)</SPAN></P><P><SPAN>3) Clip to Oregon state boundary</SPAN></P><P><SPAN>References:</SPAN></P><P><SPAN>[1] Maclaurin, G. J., Grue, N. W., Lopez, A. J., & Heimiller, D. M. (2019). The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling (No. NREL/TP-6A20-73067). National Renewable Energy Lab.(NREL), Golden, CO (United States).</SPAN></P><P><SPAN>Maclaurin, G., Lopez, A., Grue, N., Buster, G., Rossol, M., & Spencer, R. (2020). Open Source reV (The Renewable Energy Potential Model) (No. Open Source reV). National Renewable Energy Lab.(NREL), Golden, CO (United States).</SPAN></P></DIV></DIV> |
| licenseInfo:
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| catalogPath:
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| title:
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wind_capacity_factor |
| type:
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Image Service |
| url:
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https://lib-arcgis22.library.oregonstate.edu/arcgis |
| tags:
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["wind","oregon","renewable energy","capacity factor"] |
| culture:
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en-US |
| name:
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wind_capacity_factor |
| guid:
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| minScale:
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1.8489297737236E7 |
| spatialReference:
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WGS_1984_Web_Mercator_Auxiliary_Sphere |