TY - GEN
T1 - Benefit analysis of wind turbine generators using different economic-cost methods
AU - Yeh, Tai Her
AU - Wang, Li
PY - 2007
Y1 - 2007
N2 - Since petroleum's price increases in recent years, the employment of renewable energy has become one of the most important tasks for government's energy policy. To fully use wind power, different wind farms should have appropriate capacity for wind turbine generators (WTG) to get the most wind power and maximum economic benefit. Currently, there are various values for capacity and hub height of commercial WTG. This paper uses three different economical methods to analyze economical outcomes for different wind farms with different parameters for WTG sets prior to the installation of WTG. According to the comparative analyzed results, the influence of Weibull parameters proposed can quickly choose proper capacity for WTG.
AB - Since petroleum's price increases in recent years, the employment of renewable energy has become one of the most important tasks for government's energy policy. To fully use wind power, different wind farms should have appropriate capacity for wind turbine generators (WTG) to get the most wind power and maximum economic benefit. Currently, there are various values for capacity and hub height of commercial WTG. This paper uses three different economical methods to analyze economical outcomes for different wind farms with different parameters for WTG sets prior to the installation of WTG. According to the comparative analyzed results, the influence of Weibull parameters proposed can quickly choose proper capacity for WTG.
UR - http://www.scopus.com/inward/record.url?scp=50249162658&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249162658&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2007.4441644
DO - 10.1109/ISAP.2007.4441644
M3 - Conference contribution
AN - SCOPUS:50249162658
SN - 9860130868
SN - 9789860130867
T3 - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
BT - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
ER -