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https://hdl.handle.net/2440/112634
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dc.contributor.author | Heidari, M. | - |
dc.contributor.author | Anvar, A. | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), 2014, pp.517-522 | - |
dc.identifier.isbn | 1479952001 | - |
dc.identifier.isbn | 9781479952007 | - |
dc.identifier.issn | 2474-2953 | - |
dc.identifier.issn | 2474-963X | - |
dc.identifier.uri | http://hdl.handle.net/2440/112634 | - |
dc.description.abstract | Oceanic energies and Oceanic wave energy in particular is one of the most reliable sources of renewable. There has been several methods introduced regarding harnessing this type of energy and as a consequence there are various mechanisms designed, each aims to convert the energy of the Oceanic wave to a useful type of energy. The gap found in the literature survey is that the current mechanisms do not function at efficiencies than higher than 40%. This paper is focused on optimising the current design of point absorber type of a wave energy converter (WEC), which is improvised to supply energy autonomously via the remote sensors deployed within an ocean, hence feeling the gap in the performance of the current sensors which are using traditional batteries, facing difficulties regarding maintenance and life span. Applications of such WEC are in every Oceanic industry or facility installed offshore on the water or on the seabed (e.g. Oil industry, Defence technologies, Chargeable small UAVs, Submarines or other similar sorts of Marine technologies) | - |
dc.description.statementofresponsibility | Mahyar Heidari, Amir Anvar | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | International Conference on Control Automation Robotics and Vision | - |
dc.rights | ©2014 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/icarcv.2014.7064358 | - |
dc.subject | Ocean; energy; recovery; automation | - |
dc.title | A feasibility study of an automated ocean energy-recovery system for oceanic applications | - |
dc.type | Conference paper | - |
dc.contributor.conference | 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014) (10 Dec 2014 - 12 Dec 2014 : Marina Bay Sands, Singapore) | - |
dc.identifier.doi | 10.1109/ICARCV.2014.7064358 | - |
dc.publisher.place | Piscataway, NJ | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 8 Mechanical Engineering conference papers |
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