PROJECTS RESEARCH INNOVATION DEVELOPMENT

ENDURUNS

"The ENDURUNS initiative is an 8.8 million euro and 4-year H2020 project, involving 18 partners from the EU and Korea, which aims to develop and demonstrate a long-lasting unmanned autonomous vehicle with a sliding capacity powered by a hydrogen fuel cell. The project is financially supported by the European Commission (RIA) and the Korean Government."

RA4PV

"The aim of the project is to actively contribute to the collaboration of potential clients in the solar energy sector during their life cycle. The RA4PV project aims to meet the needs of society by taking into account the agendas and deadlines set in the national (National Renewable Energy Plan 2011-2020) and European (H2020) technology development plans. The development of this project increases the levels of competitiveness of the national market, marking new advances in R+D+i.‎ "

OPTIWINDSEAPOWER

"The project starts with the intention of continuing and completing the National WindSeaEnergy project (DPI2012-31579), observing that there is a great lack of mathematical models that allow the analysis of the signals that are being monitored by means of Non Destructive Tests (NDT) to determine the state of the structures, as well as in the optimal management of the structures. wind turbines and wind farms. OptiWindSeaPower has continued and completed this study initiated in the field of the rotating elements of the wind turbine and their maintenance management, making a more exhaustive study."

WINDSEAPRO

The project starts with the aim of extending and completing the National WindSeaEnergy (DPI2012-31579) and OptiWindSeaPower (DPI2015-67264-P) projects, where the most important scientific references in high impact journals were analysed, observing that there are great deficiencies in the mathematical models that allow the analysis of the signals that are being monitored to determine the state of the structures, as well as in the optimal management of the wind turbines and wind farms.

INTERNET OF THINGS

"Internet of the Things and Industry 4.0 are being developed due to the advances in the technology and information system. Large amount of data, their complexity, etc., i.e. the well-known Big Data, requires of reliable and robust internet platform together with advanced Analytics.With this purpose, Ingenium Research Group and Trendalyze are collaborating This project will be focus in Renewable Energies, an industrial strategic sector for the European Union, according to the white paper White Paper on Artificial Intelligence A European approach to excellence and trust."

SCARAB

"The objective of this R&D project, financed by the Ministry of Economy and Competitiveness within the framework of the State Plan for Scientific and Technical Research and Innovation 2013-2016, is the development of an intelligent tool based on monitoring systems embedded in UAVs for the optimization of the operation and maintenance of solar photovoltaic plants."

PROJECTS

 Demonstration of methods and tools for the optimisation of operational reliability of large-scale industrial wind turbines (OPTIMUS)

Ref.: FP7-ENERGY-2012-2-322430

Funded by: EUROPEO – PROYECTOS

From: 01/06/2013 to: 02/06/2016 

The consortium: UCLM, NAREC, INGETEAM, UOB, SKM, ISQ, INDRA, FELDMAN, UCLM, D2S, USFD, ROMAX, TERNA 

Granted: 5.500.000 €

Web: http://optimusfp7.eu/

 Development and Demonstration of a Novel Integrated Condition Monitoring System for Wind Turbines (NIMO)

 

Ref: FP7-ENERGY-2008-TREN1:239462

Funded by: EUROPEO – PROYECTOS

From: 01/04/2009 to: 31/03/2012 

The consortium: Institutos y Centros de Investigación: Centre for Renewable Energy Sources, Instituto de Soldadura e Qualidade, M.K. Kotouzas Inc – Technology and Quality Control Centre: Universidades Universidad de Castilla-La Mancha, University of Birmingham: Empresas: A. Silva Matos Energis S.A., Acciona Energia S.A., Alfa Products and Technologies, Envirocoustics A.B.E.E., Feldman Enterprises Limited, Lambdatest Limited, Novas Energias do Occidente, S.A., Technical Software Consultants Ltd., Terna S.A., Twi Limited 

Granted: 6.000.000 €

Structural Health Monitoring of Concentrated Solar Power Plants (INTERSOLAR)

Ref.: FP7-SME-2013-605028)

Funded by: EUROPEO – PROYECTOS

From: 01/07/2013 to: 01/07/2015 

The consortium: COMPUTERISED INFORMATION TECHNOLOGY LTD; P.S.P.-PROFESSIONAL SERVICE PARTNERS SA; TECHNOLOGY ASSISTANCE BCNA 2010 SL; APPLIED INSPECTION LTD; TORRESOL ENERGY INVESTMENTS SA; BRUNEL UNIVERSITY; ENGITEC LIMITED; UNIVERSIDAD DE CASTILLA – LA MANCHA

Granted: 1.500.000 €

Web: http://grupos.investigacion.uclm.es/ingenium/libro/logistica/

Optimal Integral Management of Offshore Wind Farms Through New 
Mathematical Model(OptiWindSeaPower)

Ref.: DPI2015-67264-P 
Funded by: Ministerio de Economía y Competitividad, Proyectos De I+D, del Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación del Conocimiento

From: 01/01/2016 to: 31/12/2019 

The consortium: UCLM 

Granted: 99.900€

Intelligent tool for optimising the operation and maintenance of photovoltaic plants, based on new onboard monitoring systems in UAVs. (SCARAB)

Ref.: RTC-2016-5694-3
Funded by: Ministerio de Economía y Competitividad, Proyectos De I+D, del Retos-Colaboración del Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016.

From: 01/01/2016 to: 30/09/2019

The consortium: UCLM, Ingeteam Service S.A. 

Granted: 604.097,18 €

Investigation of advanced defrosting techniques and prevention of snow accumulation on the blades of a wind turbine. (IcingBlades)

Ref.: IPT-2012-0563-120000

Funded by: Ministerio de Economía y Competitividad, Convocatoria Innpacto 2012

From: 01/06/2012 to: 01/06/2015 

The consortium: Ingeteam and UCLM 

Granted: 560.000 €

 

Optimization of Control and Management of Resources in the Maintenance of Offshore Wind Farms Through Advanced Mathematical Models (WindSeaEnergy)

Ref.: DPI2012-31579

Funded by: Ministerio de Economía y Competitividad, Proyectos de Investigación Fundamental no Orientada 2012.

From: 01/06/2013 to: 01/06/2016 

The consortium: UCLM, CUNEF, University of Birmingham (UK), University of Glasgow (UK), U of Lancaster (UK) 

Granted: 47.000€

Improvement of the Operational Management of Offshore Wind Farms through Technical and Economic Multivariate Models

Ref.: SBPLY/19/180501/000102


Funded by: Ministerio de Economía y Competitividad, Proyectos de Investigación Fundamental no Orientada 2012.

From: 01/01/2020 to: 31/12/2022 

The consortium: UCLM

Granted: € 121.059

LAST NEWS

Ingenium will participate in RENEW 2020

Renewable energies offshore are becoming a significant contributor to the total energy produced in some countries and the interest in the subject is increasing. The 4th International Conference on Renewable Energies Offshore (RENEW 2020) will be held at Congress Centre on the IST Alameda campus in Lisbon, Portugal on 12 – 15 October 2020. This Conference…

Ingenium receives financial support from the Junta de Comunidades de Castilla-La Mancha and the Fondo Europeo de Desarrollo Regional

Ingenium Research Group receives 121.059€ from the Junta de Comunidades de Castilla-La Mancha to carry out scientific research and a technology transfer project of 36 months. These funds have been co-financed by the Fondo Europeo de Desarrollo Regional, within the call for funds of Resolution of 18/12/2018, of Consejería de Educación, Cultura y Deportes. The…

Ingenium consigue financiación a actividades de investigación dirigidas a grupos en el marco del Plan Propio de Investigación

El Vicerrectorado de Investigación y Política Científica de la Universidad de Castilla-La Mancha ha hecho pública la resolución definitiva para la convocatoria de financiación a actividades de investigación dirigidas a grupos en el marco del Plan Propio de Investigación, cofinanciadas por el Fondo Europeo de Desarrollo Regional (FEDER), mediante la presentación de expresiones de interés.…

Novel condition monitoring system based on the analysis of noise waves of a wind turbine

Ingenium Research Group proposes a novel approach analyzing the noise waves in wind turbine fault detection. A novel condition monitoring system formed by an acoustic acquisition system embedded in a drone and connected to a ground station is developed for acoustic inspection. The noise present several sources, such as wind, wind turbine noise or the…

Premio Wendy Hall

Premios ‘Wendy Hall’ (2ª edición) a la mejor web de la UCLM en mejor web de investigación

 

Contact Us

Copyright © 2020 INGENIUM GROUP.All rights reserved.

A bonis ad meliora