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Technology Diffusion Model

Sector: Aerospace & Defense • Location: Germany

Source: EU Funding & Tenders Portal

Project
Ended

The composition of a future aircraft fleet is, among others, dependent on new available technologies contributing to improved aircraft eco-efficiency. Thus, it is essential to know whether and to which extent new technologies find their way on the aircraft (either as a new configuration or as retrofit). The main objective of the project TeDiMo (“Technology Diffusion Model”) therefore is to establi

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The project “Technology Diffusion Model” is an infrastructure initiative in the Aerospace & Defense sector, located in Germany. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

The composition of a future aircraft fleet is, among others, dependent on new available technologies contributing to improved aircraft eco-efficiency. Thus, it is essential to know whether and to which extent new technologies find their way on the aircraft (either as a new configuration or as retrofit). The main objective of the project TeDiMo (“Technology Diffusion Model”) therefore is to establish a sophisticated technology diffusion model in the context of the Technology Evaluator (TE) that facilitates the investigation of the propagation of new technologies developed in Clean Sky 2. By applying the diffusion model to CS2-technology bricks a more comprehensive response of the contribution of the developed CS2-technologies towards the Flightpath 2050 goals is obtained. At this stage, technologies are assessed in specific concept vehicles which, however, do not cover the whole range of aircraft categories of the operated world fleet. Hence, for the categories not populated with CS2 concept vehicles additional representative aircraft have to be defined. Ecological, economic and social drivers that have a significant influence on the air transportation system must be then identified in order to derive changing requirements and the motivation for developing and installing new technologies into air vehicles. Applying the diffusion model by taking both current technological requirements and the motivation into consideration helps to understand the time-dependent propagation steps of new technologies (within and across the particular aircraft categories) and therefore to assess future aircraft fleet compositions. The project outcome comprises the prediction of future aircraft fleet due to the implementation of new technologies including the demonstration of technological diffusion models in the aviation sector.

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High

Data quality score

100%

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