2017
DOI: 10.1016/j.energy.2016.10.140
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Comparative analysis of degradation rates for inland and seaside wind turbines in compliance with the International Electrotechnical Commission standard

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Cited by 15 publications
(14 citation statements)
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“…Robots can assist humans [87,88] for difficult tasks or replace them for difficult ones. The cost reduction [77] effectiveness is demonstrated and research in decision error reduction [89][90][91] is intensive to improve accuracy by simulation [92][93][94] and by more precise path finding [14,95] and guidance algorithms [96,97]. The new Agri-Food projects fund the integration of Agriculture Robots to support the applications since the beginning to ensure the maximum results.…”
Section: -Precision Farming Techniques and Robot Developmentmentioning
confidence: 99%
“…Robots can assist humans [87,88] for difficult tasks or replace them for difficult ones. The cost reduction [77] effectiveness is demonstrated and research in decision error reduction [89][90][91] is intensive to improve accuracy by simulation [92][93][94] and by more precise path finding [14,95] and guidance algorithms [96,97]. The new Agri-Food projects fund the integration of Agriculture Robots to support the applications since the beginning to ensure the maximum results.…”
Section: -Precision Farming Techniques and Robot Developmentmentioning
confidence: 99%
“…The authors reported that the degradation rates were found to be from 0.179%/year to 0.982%/year for Hankyeong wind turbines and from 0.149%/year to 0.656%/year for the Seongsan wind turbines. 23 In summary and based on the studies cited earlier, it is evident that the choice of an interval going from the lowest value (0.5%) to the highest value (1.5%) is necessary. This allows all the probabilities to be taken into account whether for the PV system or for the wind turbine.…”
Section: Degradation Rate and Energy Outputmentioning
confidence: 92%
“…22 This gives an annual degradation of 0.6%. In another research work, Shin and Ko estimated the degradation of two wind farms 23 :…”
Section: Degradation Rate and Energy Outputmentioning
confidence: 99%
“…When operating, the aerodynamic efficiency of a turbine may evolve over time due to wear of turbine components, dirt accumulation on the wind turbine blades, and many other effects [6]. Evaluation of the power curve during the lifetime of a wind farm is therefore useful to monitor the state of health of the turbines [6] and degradation due to ageing [41,35,11]. Power curves are also used to estimate the aggregated power production of wind farms, and their integration into national power systems and electricity markets [16,42].…”
Section: Introductionmentioning
confidence: 99%