2020
DOI: 10.1016/j.renene.2019.07.050
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Gaussian process regression modeling of wind turbines lightning incidence with LLS information

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Cited by 9 publications
(4 citation statements)
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“…One of the multi-faceted risk is the damage to the wind turbine due to the lightning strike. Blades are the most suspectable part of lightning damage [13].…”
Section: P T T a P E R P U S T A K A A N T U N K U T U N A M I N A Hmentioning
confidence: 99%
See 1 more Smart Citation
“…One of the multi-faceted risk is the damage to the wind turbine due to the lightning strike. Blades are the most suspectable part of lightning damage [13].…”
Section: P T T a P E R P U S T A K A A N T U N K U T U N A M I N A Hmentioning
confidence: 99%
“…Boysian statistical learning and Gaussian process regression were applied on real lightning location systems data and predicted the number of lightning strikes. The effective height of the wind turbine located on a hilltop assumed to be hemispherical in shape [13]. Some of complex electrical and control systems of wind turbines have rotating composite blades up to 60m long and placed on up to more than 200 m high towers [1].…”
Section: Lightning Attachment Location On Wind Turbinementioning
confidence: 99%
“…Finally, the lightning-related risk is not the same for all WTs within onshore wind farms. The risk is influenced by the wind farm topology, terrain orography, keraunic level, soil resistivity, wind farm layout in relation to the prevailing wind direction, local weather patterns (i.e., winter lightning), and other influential factors [44]. A lightning risk analysis for the entire wind farm ought to establish the necessary conditions for installing the second set of arresters for each individual WT, considering the total price of the risk and its premium level.…”
Section: (B)mentioning
confidence: 99%
“…A lightning risk analysis for the entire wind farm ought to establish the necessary conditions for installing the second set of arresters for each individual WT, considering the total price of the risk and its premium level. The price of the risk needs to account for the financial losses arising from lightning-related damage, replacement costs, and lost revenue from downtime [44]. After all, the investment in surge arresters is seen as buying insurance!…”
Section: (B)mentioning
confidence: 99%