DNV GL has awarded ABB Switzerland with component certification for its latest generation main frequency converter. The PCS6000 medium voltage wind converter has been developed specifically for use in offshore wind turbines and is available for capacities up to even 12MW offering a future-proof solu
Aquamarine Power and the National University of Ireland, Maynooth (NUIM) have together secured an €800,000 EU Horizon 2020 grant to improve the performance of Aquamarine Power’s Oyster wave energy converter. The company has already built and operated two full-scale Oyster machines at the European Ma
Two of the world’s leading ocean energy test centres have joined forces for a ground-breaking project to recreate scaled versions of Scotland’s oceans in the laboratory. EMEC, the European Marine Energy Centre in Orkney, and FloWave Ocean Energy Research Facility at The University of Edinburgh first
The first phase of the Tidal Turbine Powertrain Reliability Project (TiPTORs), led by the Offshore Renewable Energy (ORE) Catapult, has delivered a ‘Design for Reliability’ (DfR) methodology which provides a robust and systematic approach to developing tidal turbine drivetrains. The methodology, dev
After confirmation of successful tests of the floating wind measurement device in July 2015, seaLIDAR was introduced to the offshore wind energy market today. UK-based seaLIDAR Ltd, developed by ESTIA Consulting & Engineering S.A., combines measurement technologies with the potential to perform full
Eco Wave Power has received an official recognition as “Pioneering Device” by Dr. Bracha Halaf, the Israeli Chief Scientist on behalf of the Ministry of National Infrastructures, Energy and Water Resources. In accordance with a Governmental decision, Dr. Halaf approved that EWP’s wave energy power s
Ocean Power Technologies, Inc. (OPT) has deployed its APB350 A1 PowerBuoy approximately 14 miles northeast of Atlantic City, New Jersey. The APB350 A1 contains an improved Power Takeoff (PTO) system compared to the APB350 that was deployed in 2011 in connection with the U.S. Navy’s Littoral Expediti
Fortum and Seabased Industry have agreed to replace an export cable at their Sotenäs demonstration wave power plant off the coast of Smögen, Sotenäs community, in western Sweden. The companies said that several insulation failures occurred during connection of the plant this summer, so a new cable h
Carnegie Wave Energy has demonstrated the ability to swap CETO units during plant operation by retrieving the second CETO 5 unit and deploying CETO unit #1 in its place last week. The retrieval of the second CETO 5 unit was informed by lessons learnt during the retrieval of the first CETO 5 unit ear
Sirris’ OWI Lab has tested transformers for CG Power Systems under extreme weather conditions. The manufacturer of transformers for onshore and offshore wind turbines wanted to have these tests performed simultaneously for various versions. Pieter Jan Jordaens, Project Leader at Sirris/ OWI-Lab, exp
Doedijns, has recently supplied the complete Hydraulic System for a Pile Gripper Frame to Bilfinger Marine & Offshore Systems. The system has been installed and commissioned and is currently being used to install a total of 72 Wind Turbine foundations for the Sandbank Offshore Wind Farm in the Germa
Ole Jacob Wang Nielsen has joined High Wind NV as Head of Business Development. He will continue the commercialisation of the Boom Lock which allows for safe installation of wind turbine components in higher wind speeds. Ole Jacob has worked in the maritime industry since 2001 and brings with him 8
The Japanese conglomerate, Hitachi Ltd, has announced plans to further expand its involvement in the offshore wind industry. Namely, the Tokyo-based company said it plans to add a nacelle production line for its 5MW wind power system by the end of March 2016, reported Bloomberg. The line will be bui
The EOLO group (UPV/EHU-University of the Basque Country) has developed various models for predicting the amount of wave energy for the Bay of Biscay, by using a technique called random forests. “Random forests (RF) is an algorithm developed in recent years in the field of machine learning. The basi
