The project ENDORSE: exploiting EO data to develop pre-market services in renewable energy

Autor: Lucien Wald, Claire Thomas, Sophie Cousin, Philippe Blanc, Lionel Ménard, Marion Schroedter Homscheidt, Elena Gaboardi, Emilio Simeone, Gerd Heilscher, Sophie Jacques, Serpico, Sebastiano B., Thomas Huld, Dominique Dumortier
Přispěvatelé: CEP/Sophia, Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Transvalor, Armines-DAE, ARMINES, German Remote Sensing Data Center (DLR-DFD), German Aerospace Center (DLR), icons, Flyby, Fachhochschule Ulm, Department of Biophysical and Electronic Engineering [Genoa] (DIBE), University of Genoa (UNIGE), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), École Nationale des Travaux Publics de l'État (ENTPE), Ministère de l'Ecologie, du Développement Durable, des Transports et du Logement-École Nationale des Travaux Publics de l'État (ENTPE), Pillman W., Schade S., Smits P.
Předmět:
Zdroj: HAL
Proceedings of the 25th EnviroInfo Conference 'Environmental Informatics'
25th EnviroInfo Conference 'Environmental Informatics'
25th EnviroInfo Conference 'Environmental Informatics', Oct 2011, Ispra (VA), Italy. pp.549-556
Popis: International audience; The ENDORSE project is co-funded by the FP7 programme of the European Commission, from 2011 to 2013. It exploits the atmosphere service MACC of the European GMES programme (Global Monitoring for Environment and Security) together with other Earth Observation (EO) data and modelling. It aims at providing public authorities and private investors with accurate evaluation and forecasts of renewable resources. The focus is on the devel-opment of downstream services that create added-value information. We present here the achievements of the first period. A very accurate though fast algorithm describing the position of the sun in the sky has been developed. A series of recommendations for quality control of meteorological data have been issued. All algorithms are available as code sources and are being implemented as Web processing services (WPS). Support vector machine techniques prove successful to map the air temperature at 2-m height from satellite images and a few measurements at ground level. The next development of ENDORSE is a portfolio of pre-market downstream services, serving as precursors and examples of best practices for similar services. The resulting services will be described using the INSPIRE metadata and declared in an existing Catalog Service for the Web (CSW) dedicated to energy. Finally, we discuss the mutual benefits between GEOSS (Global Earth Observation System of Systems) and ENDORSE.
Databáze: OpenAIRE