Con esta herramienta te facilitamos un acceso a todas las ofertas y demandas de tecnología europeas y a búsquedas de socios para participar en propuestas europeas de I+D publicadas en la red Enterprise Europe Network, pudiendo filtrar los resultados para facilitar las búsquedas más acordes con tus necesidades.

¿Quieres recibir estos listados de oportunidades de colaboración en tu correo de forma periódica y personalizada? Date de alta en nuestro Boletín

Para optimizar los resultados de la búsqueda, se recomienda utilizar términos en inglés.

LC-SC3-RES-14-2019. Búsqueda de un operario de un aerogenerador offshore

Resumen

Tipo:
Búsqueda de socios
Referencia:
RDGR20180625001
Publicado:
26/06/2018
Caducidad:
28/09/2018
Resumen:
Una pyme griega está preparando una propuesta para optimizar la fabricación y funcionamiento de un sistema de producción de energía marítima a partir del viento oceánico y energía eólica marítima. El objetivo es monitorizar granjas eólicas mediante el uso de sensores inteligentes. La empresa busca un operario de aerogeneradores eólicos con el fin de identificar las necesidades de inspección y mantenimiento y ofrecer datos operacionales de la granja eólica. La fecha límite de la convocatoria es el 16 de octubre de 2018 y el plazo para presentar expresiones de interés finaliza el 28 de septiembre.

Details

Tittle:
LC-SC3-RES-14-2019: Looking for an offshore wind turbine operator
Summary:
A Greek research SME prepares a proposal for the optimization of manufacturing and system operation for the marine energy deriving from the ocean and ?ff-shore wind. The proposal will deal with the monitoring of the wind farms. using intelligent sensor. The company is looking for an offshore wind turbine operator to identify needs and provide operational data.
Description:
The Greek company is a research SME working for delivering advanced engineering solutions using high technology and integration of different scientific fields. The company is also very experienced in coordinating research -Y- innovation EU funded projects. The company has well-built links with foremost world technology organizations. The company delivers engineering, consulting, outsourcing, R-Y-D, training and state-of-technology products as well as geospatial database infrastructures, geo-informatics and the environment.

Renewable electricity technologies still require optimization in several key processes of the respective value chains in order to achieve a more efficient conversion of their primary energy source into electricity. The proposal will deal with the sub-topic of monitoring system for marine energy systems, both the ocean and the off-shore wind ones. The proposal will include the testing and integration of new intelligent sensors. The proposal will also develop fault detection and communication systems for accurate condition and structural health monitoring will enable predictive and preventive operation and preventive maintenance processes, crucial for innovative wind farm control and the realization of virtual power plants.

The proposal will create a cloud based offshore wind farm (OWF) monitoring system consisting of the following two profiles. First, the operational profile. Geographic information system (GIS) mapping of wind farm, localized weather data for prediction of extreme conditions to identify potential hazards, localized weather and electricity production correlation, real-time generated electricity production and prediction delivery status per wind turbine and generated and predicted performance data comparison. Real time grid simulator that will be able to proof the performance of the virtual power plant and predict the energy supplied to the grid.

The proposal also suggests the creation of a maintenance profile. Real-time monitoring (operating and emergency status) of electrical control, gearbox, yaw system, generator, hydraulic, grid, blades, brakes and bearing which is the 65% of the total failures of a wind turbine. Foundation and tower inspection for every wind turbine within the farm. Application of service robots for inspection, cleaning and maintenance where possible. Both operational -Y- maintenance profiles will be combined into a cloud-based decision support system (DSS) for the optimal remote management of the OWF.

The proposed methodology will be achieved by using advanced mapping solution and GIS technology for the mapping of the OWF. Localized weather data and OWF assessment by installing local meteorological station. Innovative technology sensors for real-time condition and health monitoring of electrical control, gearbox, yaw system, generator, hydraulic, grid, brakes and bearing. Blades, foundation and tower inspection will be performed by Unmanned Arial Vehicle (UAV) and Unmanned Underwater Surface Vessel (UUSV) equipped with high-resolution cameras and other sensors required for inspection. The UAV and the UUSV will be able to perform pre-defined scenarios and to control them from land. Nearby passing vessels can deploy new UAVs and UUSVs and collect operating UAVs and the UUSVs needed to come back to land for service and maintenance with a respective win-win situation for the passing vessels (e.g. recharging free their batteries, power benefits for the maritime company etc.). This will make OWF at a great percentage, maintenance free.

The Greek company is looking for for an offshore wind turbine operator. The role of the partner will be to identify current needs for inspection and maintenance and also to provide the consortium available data from the offshore wind turbine farm.

Deadline of the call: 16/10/2018
Deadline for EoIs: 28/9/2018
Advantages and Innovations:
The improved performance of manufacturing processes and system operation is expected to lead to increased efficiency of the system and/or reduced operational costs of the renewable technologies. The updated 2030 EC targets define a 27% overall renewable energy share for EU states, paving the way for a low-carbon sustainable European economy. Therefore, a need for advanced and cost-competitive offshore wind farms (OWF) business is emerging to reach future goals for predictive and preventive operation and preventive maintenance processes, crucial for innovative wind farm control and the realization of virtual power plants. The challenge is to develop a complete fault detection, real time monitoring protection and communication system for accurate condition and structural health monitoring for OWF. This aims to reduce the operating costs of OWF by reducing people traveling on site for maintenance and examination. At the same time this will reduce costs from possible catastrophic failures as the methodology will enable remotely operations for safety mode and shut down. Virtual power plant will demonstrate the availability, the power fluctuations and the predictability of the wind power generation supplied to the grid.
Stage of Development:
Proposal under development

Partner sought

Partner Sought:
The Greek company is looking for an offshore wind turbine operator. The role of the partner will be to identify current needs for inspection and maintenance and also to provide the consortium available data from the offshore wind turbine farm.
Type of Partnership Considered:
RDR

Client

Type and Size of Client:
Industry SME 11-49
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English
Greek

Dissemination

Programme-call

Framwork Programme:
H2020
Evaluation Scheme:
Types of action: RIA Research and Innovation action Deadline Model: two-stage
Coordinator Required:
No
Deadline for Call:
16/10/2018