TY - GEN
T1 - Methodolgy for preliminary assessment of regional wind energy potential
AU - Wenning, Thomas J.
AU - Kissock, J. Kelly
PY - 2009
Y1 - 2009
N2 - This paper describes a methodology for a preliminary assessment of a region's wind energy potential. The methodology begins by discussing four primary considerations for site location: wind resources, wildlife corridors, proximity to transmission grids, and required land area. Algorithms to calculate wind energy production using both hourly and annual average wind speed are presented. The hourly data method adjusts for differences in height, air density and terrain effects between the measurement site and the proposed turbine site. The annual average wind data method adjusts for these factors, and uses the average annual wind speed to generate a Rayleigh distribution of wind speeds over the year. Wind turbine electricity generation is calculated using the wind speed data and the turbine power curve. The lifecycle cost of electricity is calculated from operating costs, purchase costs, a discount rate, and the project lifetime. A case study demonstrates the use of the methodology to investigate the potential for producing electricity from wind turbines in Southwest Ohio. This information is useful to utilities, power producers and municipalities as they look to incorporate renewable energy generation into their portfolios.
AB - This paper describes a methodology for a preliminary assessment of a region's wind energy potential. The methodology begins by discussing four primary considerations for site location: wind resources, wildlife corridors, proximity to transmission grids, and required land area. Algorithms to calculate wind energy production using both hourly and annual average wind speed are presented. The hourly data method adjusts for differences in height, air density and terrain effects between the measurement site and the proposed turbine site. The annual average wind data method adjusts for these factors, and uses the average annual wind speed to generate a Rayleigh distribution of wind speeds over the year. Wind turbine electricity generation is calculated using the wind speed data and the turbine power curve. The lifecycle cost of electricity is calculated from operating costs, purchase costs, a discount rate, and the project lifetime. A case study demonstrates the use of the methodology to investigate the potential for producing electricity from wind turbines in Southwest Ohio. This information is useful to utilities, power producers and municipalities as they look to incorporate renewable energy generation into their portfolios.
KW - Clean energy generation
KW - Renewable energy
KW - System modeling
KW - Wind economics
KW - Wind energy simulation
KW - Wind turbines
UR - https://www.scopus.com/pages/publications/77953789325
U2 - 10.1115/ES2009-90469
DO - 10.1115/ES2009-90469
M3 - Conference contribution
AN - SCOPUS:77953789325
SN - 9780791848906
T3 - Proceedings of the ASME 3rd International Conference on Energy Sustainability 2009, ES2009
SP - 1031
EP - 1040
BT - Proceedings of the ASME 3rd International Conference on Energy Sustainability 2009, ES2009
T2 - ASME 3rd International Conference on Energy Sustainability, ES2009
Y2 - 19 July 2009 through 23 July 2009
ER -