Print Email Facebook Twitter Performance assessment of the Ocean Falls Wave Energy Converter Title Performance assessment of the Ocean Falls Wave Energy Converter: A solution for electrical power production in the future Author van den Kerkhoff, Roy-Matthieu (TU Delft Civil Engineering and Geosciences) Contributor van der Horst, Aad (mentor) Braam, Rene (graduation committee) Jarquin Laguna, Antonio (graduation committee) Bricker, Jeremy (graduation committee) ten Oever, Erik (graduation committee) Degree granting institution Delft University of Technology Programme Civil Engineering | Structural Engineering Date 2019-06-20 Abstract There is a growing demand for renewable sources of energy of which wave energy conversion is one. The Ocean Falls is an oscillating water column (OWC) system invented by BAM Infraconsult b.v. This system differs from conventional OWC systems since it includes a connection tube and an adjustable back wall. The OWC system is a resonance system for which maximum efficiency is obtained once the natural frequency matches the incoming wave frequency. This thesis focusses on the modelling of the OWC system with ANSYS AQWA and ANSYS Fluent. A parametric model and a CFD model are developed to assess the performance of the OWC system. An optimum is sought for in terms of system performance, constructability and cost effectiveness. Eventually a conceptual design of the Ocean Falls OWC system is made to assess the technical- and economic feasibility. Subject Wave Energy Converter (WEC)Wave energyOscillating Water Column (OWC)Renewable EnergyHydraulic structuresstructural engineeringInnovationConstructionFeasibility assessmentPerformance assessmentliterature studyconceptual designConstruction costscost effectiveness analysiscivil engineeringHydraulic EngineeringOcean EnergyinnovativeCaisson To reference this document use: http://resolver.tudelft.nl/uuid:11f5eb60-5ebc-4a85-bd10-226e3e8de947 Part of collection Student theses Document type master thesis Rights © 2019 Roy-Matthieu van den Kerkhoff Files PDF MSc_Thesis_RvandenKerkhoff.pdf 8.5 MB Close viewer /islandora/object/uuid:11f5eb60-5ebc-4a85-bd10-226e3e8de947/datastream/OBJ/view