2017•한국해안·해양공학회논문집Open access

A Comparison of Offshore Met-mast and Lidar Wind Measurements at Various Heights

Ji-Young Kim, Min Suek Kim

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Abstract

There is a need to substitute offshore met-mast with remote sensing equipment such as wind lidar since the initial installation and O&M costs for offshore met-mast are quite high.In this study, applicability of wind lidar is verified by intercomparison test of wind speed and direction data from offshore met-mast and wind lidar for simultaneous operational period.Results at various heights show no statistical difference in trend and size and data from wind lidar is found to be more accurate and have less error than data from offshore met-mast where error from structural shading effect is significant.

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There is a need to substitute offshore met-mast with remote sensing equipment such as wind lidar since the initial installation and O&M costs for offshore met-mast are quite high.In this study, applicability of wind lidar is verified by intercomparison test of wind speed and direction data from offshore met-mast and wind lidar for simultaneous operational period.Results at various heights show no statistical difference in trend and size and data from wind lidar is found to be more accurate and have less error than data from offshore met-mast where error from structural shading effect is significant.

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Available abstract

There is a need to substitute offshore met-mast with remote sensing equipment such as wind lidar since the initial installation and O&M costs for offshore met-mast are quite high.In this study, applicability of wind lidar is verified by intercomparison test of wind speed and direction data from offshore met-mast and wind lidar for simultaneous operational period.Results at various heights show no statistical difference in trend and size and data from wind lidar is found to be more accurate and have less error than data from offshore met-mast where error from structural shading effect is significant.

Key concepts: Mast (botany), Offshore wind power, Lidar, Submarine pipeline, Environmental science, Meteorology, Geology, Remote sensing

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