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Gewählte Master / Diploma Thesis:

Gregor Haas (2019): Methodenentwicklung zur Aufkommensabschätzung von Alt-LED-Lampen aus österreichischen Haushalten.
Master / Diploma Thesis - Institut für Abfallwirtschaft (ABF-BOKU), BOKU-Universität für Bodenkultur, pp 78. UB BOKU obvsg

Data Source: ZID Abstracts
Light emitting diodes (LEDs) displace older lamp types. When it comes to LED recycling, Austrian waste management is faced with a challenge, since the actual waste generation of used LEDs is hardly predictable and the complex LED composition makes recycling difficult. The aim of this work is to develop methods for determining the amount of LED waste in Austrian households. As methods Sighting and weighing of waste, such as Modeling with the methods Simple Delay, Distribution Delay, Time Step and Consumption and Use were implemented to LEDs and tested for their applicability. The current domestic consumption of LED lamps was determined by a time series analysis. The evaluation of questionnaires suggested a 50% share of LEDs in Austrian households. Manufacturer's specifications give an average LED lifespan of 12.4 years. In order to be able to check the actual life span in the future, further empirical surveys would have to be carried out. Sighting and weighing of LED-waste yielded an estimated 60t in 2018. This contrasts with a waste potential (from both separate and mixed waste collection) of 204t. For 2030, a total waste potential of 1,500t was predicted via distribution delay, of which household waste potential is 450t. The methods have limitations with regard to the required input parameters. These result from the lack of LED-specific data basis. The validity of the applied models could not be verified, since surveys on the detailed waste generation by lighting category are missing. The results show a first trend at best. In order to improve the models in the future, the effect of hibernation of waste should be considered as well. Further periodic waste surveys are essential to improve the models.

Beurteilende(r): Huber-Humer Marion
1.Mitwirkender: Part Florian

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