Abstract
Wind energy is an abundant renewable resource that can support decarbonization of energy supply. It is, therefore, essential to conduct a comprehensive assessment of wind energy potential for effective transmission network planning and integration. This work introduces a spatial-temporal assessment method-ology for wind energy name plate-rated power capacity that considers the locations of electrical substations and transmission lines. This methodology applies Geographic Information System (GIS) land cover data to define siting exclusions for wind turbine installations. The correlation between generated wind power and estimates of power system load, as well as capacity factor, on a sub- regional basis for specific latest generation low and very low wind speed turbines, is estimated. A case study for the proposed methodology is conducted for the Commonwealth of Kentucky, USA with state-of-the-art wind turbines, land cover data from the National Land Cover Database (NLCD), and publicly available spatiotemporal wind data from the NASA EarthData Pathfinder dataset. The results indicate the availability of suitable land for wind turbine deployment, which can contribute to fulfilling the regional annual energy requirement, even with the example restricted sitting exclusion scenario in which turbines must be within 10km distance of a substation.
Original language | English |
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Title of host publication | 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 |
Pages | 1805-1810 |
Number of pages | 6 |
ISBN (Electronic) | 9798350375589 |
DOIs | |
State | Published - 2024 |
Event | 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 - Nagasaki, Japan Duration: Nov 9 2024 → Nov 13 2024 |
Publication series
Name | 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 |
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Conference
Conference | 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 |
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Country/Territory | Japan |
City | Nagasaki |
Period | 11/9/24 → 11/13/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- GIS
- load matching
- spatiotemporal variability
- substation
- transmission network
- wind energy
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment