Modelling the Impact of Offshore Wind Farms on Safety Radars onboard Oil and Gas Platforms

Laith Danoon; Waleed Al Mashhadani; Anthony Brown

doi:http://dx.doi.org/10.1049/iet-map.2016.0835

Modelling the Impact of Offshore Wind Farms on Safety Radars onboard Oil and Gas Platforms

Laith Danoon, Waleed Al Mashhadani, Anthony Brown

Research output: Contribution to conference › Paper › peer-review

Abstract

Radar Early Warning Systems (REWS) are safety critical radars installed onboard offshore Oil and Gas (O&G) platforms to monitor nearby surface traffic to provide asset and personnel protection and management. Wind turbines near REWS can interfere with the system due to their large and varying returns, radar shadows and overloading of the track table. This paper highlights some of the key parameters affecting the modeling of the potential interference on REWS. This paper will also present some modeling result for generic wind turbines nearfield scattering, simplified shadowing effects and finally a scenario to illustrate the compound effects on the REWS detection performance.

Original language	English
Pages	1-5
Number of pages	4
DOIs	https://doi.org/10.1049/iet-map.2016.0835
Publication status	Published - 22 Aug 2017
Event	10th European Conference on Antennas and Propagation (EuCAP) 2016 - Davos, Swaziland Duration: 11 Apr 2016 → 15 Apr 2016

Conference

Conference	10th European Conference on Antennas and Propagation (EuCAP) 2016
Abbreviated title	EuCAP 2016
Country/Territory	Swaziland
City	Davos
Period	11/04/16 → 15/04/16

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http://dx.doi.org/10.1049/iet-map.2016.0835Licence: CC BY-NC

Cite this

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abstract = "Radar Early Warning Systems (REWS) are safety critical radars installed onboard offshore Oil and Gas (O&G) platforms to monitor nearby surface traffic to provide asset and personnel protection and management. Wind turbines near REWS can interfere with the system due to their large and varying returns, radar shadows and overloading of the track table. This paper highlights some of the key parameters affecting the modeling of the potential interference on REWS. This paper will also present some modeling result for generic wind turbines nearfield scattering, simplified shadowing effects and finally a scenario to illustrate the compound effects on the REWS detection performance.",

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AB - Radar Early Warning Systems (REWS) are safety critical radars installed onboard offshore Oil and Gas (O&G) platforms to monitor nearby surface traffic to provide asset and personnel protection and management. Wind turbines near REWS can interfere with the system due to their large and varying returns, radar shadows and overloading of the track table. This paper highlights some of the key parameters affecting the modeling of the potential interference on REWS. This paper will also present some modeling result for generic wind turbines nearfield scattering, simplified shadowing effects and finally a scenario to illustrate the compound effects on the REWS detection performance.

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T2 - 10th European Conference on Antennas and Propagation (EuCAP) 2016

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Modelling the Impact of Offshore Wind Farms on Safety Radars onboard Oil and Gas Platforms

Abstract

Conference

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