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Large Area Solid State Intelligent Efficient luminaires

Projektbeschreibung


Photonics

According to a recent study, many solid-state lighting (SSL) products do not fulfill the claimed specifications and a deep market penetration of LED modules is at risk. The main problems are decreasing light intensity and varying light chromaticity due to aging and temperature, as well as poor uniformity of large-area luminaires and poor lighting quality. The main objective of the LASSIE-FP7 consortium is to implement large-area and low-cost intelligent SSL modules with high efficiency and high lighting quality, while assessing their environmental impact over the life cycle. LED-based point source luminaires have been already investigated, but market requirements for intelligent, large-area solid-state light sources have not been met yet. In order to achieve luminaires with high intensity, good uniformity and high color rendering performance, significant intelligence has to be added to the LEDs. By integrating light management structures combined with new color-changing coatings containing highly efficient and reliable organic fluorescent dyes with heat management solutions, LED chips and multispectral sensors for intelligent color-sensing feedback by means of an innovative R2R production technology compatible with flexible substrates, the LASSIE-FP7 consortium will achieve progresses beyond the state-of-the-art in terms of size (area and thickness), flexibility, efficiency, lighting quality, beam-shaping, lifetime, added intelligence, production and production/installation costs. Outcome of the project will be a unique integrated SSL module that will represent a break-through in the professional and architectural lighting sectors and an alternative to the OLED technology.

Aufforderung zur Vorschlagseinreichung

FP7-ICT-2013-11
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CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT
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Region
Schweiz/Suisse/Svizzera Espace Mittelland Neuchâtel
Aktivitätstyp
Research Organisations
Kontakt Verwaltung
Rolando Ferrini (Dr.)
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Beteiligte (9)