Evaluation of a semi-empirical model for predicting the wind energy resource relevant to small-scale wind turbines

Renewable Energy

Volumn 50, Issue , 2013, Pages 280-288

  Weekes, S M ^a   Tomlin, A S ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Small scale wind energy; Weibull shape factor; Wind resource assessment

Indexed keywords

AVERAGE ERRORS; CANOPY HEIGHTS; ERROR METRICS; MEAN WIND SPEED; MODIFIED MODEL; PERCENTAGE ERROR; ROUGHNESS PARAMETERS; SEMIEMPIRICAL MODELS; SIMPLE MODIFICATIONS; WEIBULL SHAPE; WIND POWER DENSITY; WIND RESOURCE ASSESSMENT; WIND RESOURCES; WIND SPEED DATA;

ENERGY RESOURCES; ERRORS; FORECASTING; WIND EFFECTS; WIND TURBINES;

WIND POWER;

CANOPY; DATA SET; EMPIRICAL ANALYSIS; ENERGY EFFICIENCY; INSTALLATION; NUMERICAL MODEL; PREDICTION; RESOURCE ASSESSMENT; ROUGHNESS; WEIBULL THEORY; WIND POWER; WIND TURBINE; WIND VELOCITY;

UNITED KINGDOM;

EID: 84864095418     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.06.053     Document Type: Article

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