Coordinatore | H V WOODING LIMITED
Organization address
address: "RANGE ROAD INDUSTRIAL ESTATE, RANGE ROAD" contact info |
Nazionalità Coordinatore | United Kingdom [UK] |
Totale costo | 1˙401˙367 € |
EC contributo | 1˙066˙000 € |
Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
Code Call | FP7-SME-2012 |
Funding Scheme | BSG-SME |
Anno di inizio | 2012 |
Periodo (anno-mese-giorno) | 2012-12-01 - 2014-11-30 |
# | ||||
---|---|---|---|---|
1 |
H V WOODING LIMITED
Organization address
address: "RANGE ROAD INDUSTRIAL ESTATE, RANGE ROAD" contact info |
UK (HYTHE) | coordinator | 489˙714.00 |
2 |
INAEL ELECTRICAL SYSTEMS SA
Organization address
address: CALLE JARAMA 1 POLIGONO INDUSTRIAL contact info |
ES (TOLEDO) | participant | 228˙804.00 |
3 |
MIKROSAY YAZILIM VE ELEKTRONIK ENERJI SANAYI TICARET AS
Organization address
address: CEVIZLI MAHALLESI TANSEL CADDESI 18 contact info |
TR (MALTEPE) | participant | 186˙277.00 |
4 |
VENTECH SYSTEMS LTD
Organization address
address: MAFEKING AVENUE 59 contact info |
UK (BRENTFORD MIDDLESEX) | participant | 155˙255.00 |
5 |
ELEKTRIK DAGITIM HIZMETLERI DERNEGI BASKANLIGINA
Organization address
address: SOGUT IS MERKEZI 4 19 SOGUTOZU contact info |
TR (CANKAYA ANKARA) | participant | 5˙950.00 |
6 |
INSTITUTO TECNOLOGICO DE ARAGON
Organization address
address: MARIA DE LUNA 8 contact info |
ES (ZARAGOZA) | participant | 0.00 |
7 |
NOVAMINA CENTAR INOVATIVNIH TEHNOLOGIJA DOO
Organization address
address: JACKOVINSLI KLANEC 17 contact info |
HR (Zagreb) | participant | 0.00 |
8 |
SENSEOR SAS
Organization address
address: Parc de Haute Technologie du Font de l'Orme - Lot 3 - Avenue Dr Maurice Donat 694 contact info |
FR (MOUGINS) | participant | 0.00 |
9 |
THE UK INTELLIGENT SYSTEMS RESEARCH INSTITUTE LIMITED
Organization address
address: MIDDLE ASTON HOUSE contact info |
UK (OXFORDSHIRE) | participant | 0.00 |
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'Renewable energy (RE) sources have gained a great importance due to their inexhaustibility, sustainability, ecological awareness and supply of energy security. Among all RE sources, wind energy is currently viewed as one of the most significant fastest growing (at an average annual growth rate of more that 26% since 1990), commonly used and commercially attractive source to generate electrical energy.
The vision of the wind industry in Europe is to increase wind’s fraction of electrical energy mix to more than 20% within the next 2 decades. To implement this, an average 10-15GW of additional capacity must be manufactured, delivered and implemented every year in Europe. In order to achieve this, further improvements in wind turbine technology are still needed. Wind turbines are not new concepts but still face challenges as a stable and reliable source of energy – issues with efficiency, operations, maintenance and its general costs.
There is a need to reduce the rate of electrical system faults and the corresponding downtime per fault which will contribute significantly to the overall reduction of the operational and maintenance cost associated with current and future wind turbines. This project aims to develop an advanced diagnostics and predictive maintenance intelligent sensor system network for Wind Turbine (with particular focus on faults, failures and breakdowns relating to the electrical system of the wind turbine).'
Wind turbine electrical system failures result in extended downtime, increasing operating costs and decreasing energy security. New on-board sensor technology and predictive tools will enable timely attention to potential problems.
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