Event-triggered variable horizon supervisory predictive control of hybrid power plants

The supervision of a hybrid power plant, including solar panels, a gas microturbine and a storage unit operating under varying solar power profiles is considered. The Economic Supervisory Predictive controller assigns the power references to the controlled subsystems of the hybrid cell using a financial criterion. A prediction of the renewable sources power is embedded into the supervisor. Results deteriorate when the solar power is unsteady, owing to the inaccuracy of the predictions for a long-range horizon of 10 s.The receding horizon is switched between an upper and a lower value according to the amplitude of the solar power trend. Theoretical results show the relevance of horizon switching, according to a tradeoff between performance and prediction accuracy. Experimental results, obtained in a Hardware In the Loop (HIL) framework, show the relevance of the variable horizon approach. Power amplifiers allow to simulate virtual components, such as a gas microturbine, and to blend their powers with that of real devices (storage unit, real solar panels). In this case, fuel savings, reaching 15 %, obtained under unsteady operating conditions lead to a better overall performance of the hybrid cell. The overall savings obtained in the experiments amount to 12 %

Economic supervisory predictive control of a hybrid power generation plant

This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encom- passes the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design

The NAOMI GAZL multispecies differential absorption lidar: realization and testing on the TADI gas leak simulation facility

International audienceWe report on a differential absorption lidar, designed for remote detection of CH 4 and CO 2 , based on a single-frequency 1.57-1.65 µm parametric oscillator/amplifier system. The lidar is tested on a controlled gas release facility

Compression irréversible par ondelettes en radiologie thoracique numérique : Evaluation qualitative sur des structures anatomiques et pathologiques

La compression d'images représente une alternative de faible coût à l'augmentation systématique de la capacité de stockage des systèmes d'archivage et des lignes de transmission (PACS). Afin d'étudier les effets de la compression irréversible par ondelettes (base de la norme JPEG2000) sur des radiographies thoraciques d'emblée numériques (Thoravision®), nous avons défini un protocole complet d'évaluation. Les taux de compression de 20:1, 40:1, 60:1 ont été évalués en double aveugle par 3 radiologues dans des conditions standardisées sur des structures anatomiques (suivant 11 critères portant sur les détails, les contours et les artéfacts sur une population de 30 sujets sains) et pathologiques (pneumothorax et syndromes interstitiels). Des courbes ROC ont été réalisées à partir de deux populations de 20 patients. Notre étude détermine un taux de compression acceptable à 20:1 pour les radiographies normales et 60:1 pour les images pathologiques. L'interprétation rigoureuse d'une radiographie thoracique nécessitant la conservation des structures anatomiques, le taux de 20:1 apparaît être la limite acceptable en pratique clinique. Notre protocole d'évaluation suggère par ailleurs qu'une évaluation qualitative d'une compression par ondelettes de radiographie thoracique peut être réalisée uniquement sur des critères anatomiques portant sur la vascularisation fine du poumon où la dégradation est prédominante

The Copernicus Marine Environment Monitoring Service Ocean State Report

The Copernicus Marine Environment Monitoring Service (CMEMS) Ocean State Report (OSR) provides an annual report of the state of the global ocean and European regional seas for policy and decision-makers with the additional aim of increasing general public awareness about the status of, and changes in, the marine environment. The CMEMS OSR draws on expert analysis and provides a 3-D view (through reanalysis systems), a view from above (through remote-sensing data) and a direct view of the interior (through in situ measurements) of the global ocean and the European regional seas. The report is based on the unique CMEMS monitoring capabilities of the blue (hydrography, currents), white (sea ice) and green (e.g. Chlorophyll) marine environment. This first issue of the CMEMS OSR provides guidance on Essential Variables, large-scale changes and specific events related to the physical ocean state over the period 1993–2015. Principal findings of this first CMEMS OSR show a significant increase in global and regional sea levels, thermosteric expansion, ocean heat content, sea surface temperature and Antarctic sea ice extent and conversely a decrease in Arctic sea ice extent during the 1993–2015 period. During the year 2015 exceptionally strong large-scale changes were monitored such as, for example, a strong El Niño Southern Oscillation, a high frequency of extreme storms and sea level events in specific regions in addition to areas of high sea level and harmful algae blooms. At the same time, some areas in the Arctic Ocean experienced exceptionally low sea ice extent and temperatures below average were observed in the North Atlantic Ocean