Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore
International audience Offshore wind energy technology has developed rapidly over the last decade. It is expected to significantly contribute to the further increase of renewable energy in the global energy production in the future. However, even with floating wind turbines, only a fraction of the g...
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ftccsdartic:oai:HAL:hal-01986111v1 2023-05-15T17:35:32+02:00 Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore Abd Jamil, Roshamida Chaigneau, Alisée Gilloteaux, Jean-Christophe Lelong, Philippe Babarit, Aurélien Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA) École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS) Trondheim,, Norway 2019-01-16 https://hal.science/hal-01986111 https://hal.science/hal-01986111/document https://hal.science/hal-01986111/file/EERA%20Deepwind%202019_RoshamidaABDJAMIL_Revised%26Corrected_FINAL.pdf en eng HAL CCSD hal-01986111 https://hal.science/hal-01986111 https://hal.science/hal-01986111/document https://hal.science/hal-01986111/file/EERA%20Deepwind%202019_RoshamidaABDJAMIL_Revised%26Corrected_FINAL.pdf info:eu-repo/semantics/OpenAccess EERA Deepwind'2019 https://hal.science/hal-01986111 EERA Deepwind'2019, Jan 2019, Trondheim,, Norway Offshore wind energy Energy ship Capacity factor Weather-routing [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] [SPI.NRJ]Engineering Sciences [physics]/Electric power info:eu-repo/semantics/conferenceObject Conference papers 2019 ftccsdartic 2023-03-26T21:42:20Z International audience Offshore wind energy technology has developed rapidly over the last decade. It is expected to significantly contribute to the further increase of renewable energy in the global energy production in the future. However, even with floating wind turbines, only a fraction of the global offshore wind energy potential can be harvested because grid-connection, moorings, installation and maintenance costs increase tremendously as the distance to shore and the water depth increase. Thus, new technologies enabling harvesting the far offshore wind energy resource are required. To tackle this challenge, mobile energy ship concepts have been proposed. In those concepts, electricity is produced by a water turbine attached underneath the hull of a ship propelled by the wind using sails. It includes an on-board energy storage system since energy ships are not grid-connected. Thus, the ships route schedules could be dynamically optimized taking into account weather forecast in order to maximize their capacity factors (CF). The aim of this study is to investigate how high the capacity factors of energy ships could be when using weather-routing and compare them to that of stationary wind turbines that would be deployed in the same areas. To that end, a modified version of the weather-routing software QtVlm was used. Velocity and power production polar plots of an energy ship that was designed at LHEEA were used as input to QtVlm. Results show that capacity factors over 80% can be achieved with energy ships and stationay offshore wind turbines deployed in the North Atlantic Ocean. Conference Object North Atlantic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Norway |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Offshore wind energy Energy ship Capacity factor Weather-routing [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] [SPI.NRJ]Engineering Sciences [physics]/Electric power |
spellingShingle |
Offshore wind energy Energy ship Capacity factor Weather-routing [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] [SPI.NRJ]Engineering Sciences [physics]/Electric power Abd Jamil, Roshamida Chaigneau, Alisée Gilloteaux, Jean-Christophe Lelong, Philippe Babarit, Aurélien Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
topic_facet |
Offshore wind energy Energy ship Capacity factor Weather-routing [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] [SPI.NRJ]Engineering Sciences [physics]/Electric power |
description |
International audience Offshore wind energy technology has developed rapidly over the last decade. It is expected to significantly contribute to the further increase of renewable energy in the global energy production in the future. However, even with floating wind turbines, only a fraction of the global offshore wind energy potential can be harvested because grid-connection, moorings, installation and maintenance costs increase tremendously as the distance to shore and the water depth increase. Thus, new technologies enabling harvesting the far offshore wind energy resource are required. To tackle this challenge, mobile energy ship concepts have been proposed. In those concepts, electricity is produced by a water turbine attached underneath the hull of a ship propelled by the wind using sails. It includes an on-board energy storage system since energy ships are not grid-connected. Thus, the ships route schedules could be dynamically optimized taking into account weather forecast in order to maximize their capacity factors (CF). The aim of this study is to investigate how high the capacity factors of energy ships could be when using weather-routing and compare them to that of stationary wind turbines that would be deployed in the same areas. To that end, a modified version of the weather-routing software QtVlm was used. Velocity and power production polar plots of an energy ship that was designed at LHEEA were used as input to QtVlm. Results show that capacity factors over 80% can be achieved with energy ships and stationay offshore wind turbines deployed in the North Atlantic Ocean. |
author2 |
Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA) École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS) |
format |
Conference Object |
author |
Abd Jamil, Roshamida Chaigneau, Alisée Gilloteaux, Jean-Christophe Lelong, Philippe Babarit, Aurélien |
author_facet |
Abd Jamil, Roshamida Chaigneau, Alisée Gilloteaux, Jean-Christophe Lelong, Philippe Babarit, Aurélien |
author_sort |
Abd Jamil, Roshamida |
title |
Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
title_short |
Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
title_full |
Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
title_fullStr |
Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
title_full_unstemmed |
Comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
title_sort |
comparison of the capacity factor of stationary wind turbines and weather-routed energy ships in the far-offshore |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-01986111 https://hal.science/hal-01986111/document https://hal.science/hal-01986111/file/EERA%20Deepwind%202019_RoshamidaABDJAMIL_Revised%26Corrected_FINAL.pdf |
op_coverage |
Trondheim,, Norway |
geographic |
Norway |
geographic_facet |
Norway |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
EERA Deepwind'2019 https://hal.science/hal-01986111 EERA Deepwind'2019, Jan 2019, Trondheim,, Norway |
op_relation |
hal-01986111 https://hal.science/hal-01986111 https://hal.science/hal-01986111/document https://hal.science/hal-01986111/file/EERA%20Deepwind%202019_RoshamidaABDJAMIL_Revised%26Corrected_FINAL.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766134729788096512 |