The energy production in the word is a very complex problem with decreasing the pollution. Therefore, the aim is to find an optimal solution, this research focuses on the development and the optimization of parabolic concentrator using an interactivity approach and virtual design tools. Recently, several works have been developed in this area. In this study, a new conception, design Optimization approach has been involved in system energy design including new concept. The design strategy has been successfully applied to design problems. The optimizer tool developed for based on Heuristic: Gravitational Search Algorithm. The results of the presented in this paper are significant in the system energy design, which presents an effective approach of development by reducing the cost of installation, the time of analysis by increasing the radiation and solar flux concentrated within the parabola generating an increase in accumulated energy.
Abstract:The first of the new generation of Meteosat satellites, known as Meteosat Second Generation (MSG-1), was launched in August 2002. As with the current Meteosat series, MSG is spinstabilized and capable of greatly enhanced Earth observations. The satellite's 12-channel imager, known formally as the Spinning Enhanced Visible and Infrared Imager (SEVIRI), observes the full disk of the Earth with an unprecedented repeat cycle of 15 min in 12 spectral wavelength regions or channels. Our goal is to collect maximum MSG images data with our real time acquisition system, to trust the continuous observation of the Earth's full disk with a multi-spectral imager. This research gives an overview of the MSG SEVIRI instrument, the general approach for the active fire monitoring and the description of the algorithm together with the practical application of the tests and the algorithm. The AFMA algorithm (Active Fire Monitoring Algorithm) developed in this work is able to detect most of the existing active fires with a minimum of false alarms. The AFMA algorithm distinguishes between Diurnal and Nocturnal periods of day. The algorithm itself is based on a simple threshold algorithm. A few results are described and discussed.
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