Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)

Wave Energy Resource Assessment is essential to have a reliable prediction o f the power output and energy expected from various wave energy devices. The proposed study will characterize the wave energy resource around Tanah Merah Ferry Terminal (TMFT). A combination o f Wave Energy Modelling, Wi...

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Bibliographic Details
Main Author: Zhang, Xue
Other Authors: Abhisek Ukil
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/68730
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author Zhang, Xue
author2 Abhisek Ukil
author_facet Abhisek Ukil
Zhang, Xue
author_sort Zhang, Xue
collection NTU
description Wave Energy Resource Assessment is essential to have a reliable prediction o f the power output and energy expected from various wave energy devices. The proposed study will characterize the wave energy resource around Tanah Merah Ferry Terminal (TMFT). A combination o f Wave Energy Modelling, Wind (using Hobo Anemometer and Vane as well as a LiDAR system), Wave (Significant Wave Height, Wave Period, and Wave Direction using a Datawell WaveRider Buoy), and pontoon displacement (using Ultrasonic Sensors) measurements will be used. The data from the various sensors deployed in selected locations around TMFT will be processed and analysed. The results o f the study will not only aid in the design and development o f wave energy converters (WECs) appropriately sized for the resources available but also assist in the prediction of the power produced by WECs installed around TMFT.
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spelling ntu-10356/687302023-07-04T17:27:33Z Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT) Zhang, Xue Abhisek Ukil School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Wave Energy Resource Assessment is essential to have a reliable prediction o f the power output and energy expected from various wave energy devices. The proposed study will characterize the wave energy resource around Tanah Merah Ferry Terminal (TMFT). A combination o f Wave Energy Modelling, Wind (using Hobo Anemometer and Vane as well as a LiDAR system), Wave (Significant Wave Height, Wave Period, and Wave Direction using a Datawell WaveRider Buoy), and pontoon displacement (using Ultrasonic Sensors) measurements will be used. The data from the various sensors deployed in selected locations around TMFT will be processed and analysed. The results o f the study will not only aid in the design and development o f wave energy converters (WECs) appropriately sized for the resources available but also assist in the prediction of the power produced by WECs installed around TMFT. MSC(POWER ENGINEERING) 2016-05-31T06:41:46Z 2016-05-31T06:41:46Z 2016 Thesis Zhang, X. (2016). Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT). Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/68730 10.32657/10356/68730 en 80 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhang, Xue
Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title_full Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title_fullStr Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title_full_unstemmed Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title_short Wave energy resource characterization and power prediction around Tanah Merah Ferry Terminal (TMFT)
title_sort wave energy resource characterization and power prediction around tanah merah ferry terminal tmft
topic DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/68730
work_keys_str_mv AT zhangxue waveenergyresourcecharacterizationandpowerpredictionaroundtanahmerahferryterminaltmft