Rechercher

Dernières publications

--> Url version détaillée , Url version formatée Structure name contains or id is : "409065;155441;135971;102266;212248;578082", Publication type : "('ART')"
779.
titre
Correction: Gasperi et al. Micropollutants in Urban Runoff from Traffic Areas: Target and Non-Target Screening on Four Contrasted Sites. Water 2022, 14, 394
auteur
Johnny Gasperi, Julien Le Roux, Steven Deshayes, Sophie Ayrault, Louise Bordier, Lila Boudahmane, Hélène Budzinski, Emilie Caupos, Nadège Caubrière, Kelsey Flanagan, Martin Guillon, Nina Huynh, Pierre Labadie, Laurent Meffray, Pascale Neveu, Chandirane Partibane, Julien Paupardin, Mohamed Saad, Lucie Varnede, Marie-Christine Gromaire
article
, MDPI, 2022, 14 (14), pp.2215. ⟨10.3390/w14142215⟩
titre
Determinants of Evapotranspiration in Urban Rain Gardens: A Case Study with Lysimeters under Temperate Climate
auteur
Ahmeda Assann Ouédraogo, Emmanuel Berthier, Brigitte Durand, Marie-Christine Gromaire
article
, MDPI, 2022, 9 (3), pp.42. ⟨10.3390/hydrology9030042⟩
titre
Choisir de lutter contre certaines pollutions plutôt que d’autres - Mise en visibilité et ignorance des facteurs de dégradation du Lac de Guiers
auteur
Youssoupha Tall, José -Frédéric Deroubaix, Ibrahima Dia, Veronica Mitroi, Tidiane Ndoye, Sylvain Faye, Jean-François Humbert
article
, Société d'Anthropologie des Connaissances, 2021, 15 (4)
titre
High-Resolution Mass Spectrometry Screening of Wastewater Effluent for Micropollutants and Their Transformation Products during Disinfection with Performic Acid
auteur
Maolida Nihemaiti, Nina Huynh, Romain Mailler, Perrine Mèche-Ananit, Vincent Rocher, Rachid Barhdadi, R. Moilleron, Julien Le Roux
article
, American Chemical Society, 2022, ⟨10.1021/acsestwater.2c00075⟩
titre
Importance of Local and Regional Scales in Shaping Mycobacterial Abundance in Freshwater Lakes
auteur
Adélaïde Roguet, Claire Therial, Arnaud Catherine, Adèle Bressy, Gilles Varrault, Lila Bouhdamane, Viet Tran Khac, Bruno J. Lemaire, B. Vinçon-Leite, Mohamed Saad, Laurent Moulin, Françoise S. Lucas
article
, Springer Verlag, 2018, 75 (4), pp.834-846. ⟨10.1007/s00248-017-1088-6⟩

Tutelles

Membre de

Séminaire de Samuel Davoust le 29 mars 2013

publié le , mis à jour le

Le prochain séminaire du LEESU aura lieu le vendredi 29 mars 2013 à l’École des Ponts ParisTech (plan d’accès), à 15h00 en salle B005. Il sera constitué d’une intervention de Samuel Davoust (Avent Lidar Technology) dont le résumé est :

" The wind industry is striving to develop new technologies to improve the economic performance and reliability of wind turbines and wind farms. The Lidar (Light Detection and Ranging) technology is a promising tool to reduce uncertainties on annual energy production, reduce O&M costs and optimize power performance.

Introduced commercially by Leosphere in 2004, ground-based pulsed Lidars are remote wind measurement sensors which have now become a cost saving alternative to met. mast measurements. Lidar technology is now quite mature and wind energy industry standards are being revised to include such measurements. By measuring the complete vertical wind profiles and up to 10km in range, Lidars provide crucial additional information which further reduce uncertainties for wind resource assessment, power curve measurements, and even improve short term wind forecast.

Nacelle-mounted Lidars are now a new tool available to the wind energy market : Avent Lidar Technology, part of the Leosphere group, manufactures and sells the Wind Iris, a two beam Lidar which is mounted on the top of wind turbine nacelles. This technology measures the horizontal wind speed and direction at 10 distances from 40m to 400m upwind of the wind turbine. As a result, power performance analysis applications can now be extended in previously inaccessible areas and performed at a reduced cost, including offshore. Also, new power performance optimization applications are emerging, by accurately detecting and correcting sources for wind turbine under-performance.

Finally, Lidar allows to forecast very short-term wind fluctuation. In a later stage, retrofitting wind turbines with Lidar-assisted feed-forward control will bring adaptive solutions for under-performing wind farms in difficult sites, until a new generation of wind turbines integrating Lidar as a core component will emerge".

La présentation est disponible en cliquant ici (il faut être connecté à l’intranet pour que le lien fonctionne).