A decision-making model for the analysis of offshore wind farm projects under climate uncertainties: A case study of South Korea

2018 ◽  
Vol 94 ◽  
pp. 853-860 ◽  
Author(s):  
Kyeongseok Kim ◽  
Byungil Kim ◽  
Hyoungkwan Kim
2019 ◽  
Vol 9 (3) ◽  
pp. 431 ◽  
Author(s):  
Nikolaos Simisiroglou ◽  
Heracles Polatidis ◽  
Stefan Ivanell

The aim of the present study is to perform a comparative analysis of two actuator disc methods (ACD) and two analytical wake models for wind farm power production assessment. To do so, wind turbine power production data from the Lillgrund offshore wind farm in Sweden is used. The measured power production for individual wind turbines is compared with results from simulations, done in the WindSim software, using two ACD methods (ACD (2008) and ACD (2016)) and two analytical wake models widely used within the wind industry (Jensen and Larsen wake models). It was found that the ACD (2016) method and the Larsen model outperform the other method and model in most cases. Furthermore, results from the ACD (2016) method show a clear improvement in the estimated power production in comparison to the ACD (2008) method. The Jensen method seems to overestimate the power deficit for all cases. The ACD (2016) method, despite its simplicity, can capture the power production within the given error margin although it tends to underestimate the power deficit.


2015 ◽  
Author(s):  
EVANGELOS PAPATHEOU ◽  
NIKOLAOS DERVILIS ◽  
EOGHAN MAGUIRE ◽  
IFIGENEIA ANTONIADOU ◽  
KEITH WORDEN

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