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Gewählte Master / Diploma Thesis:

Alex Wagener (2022): Darstellung eines integralen und smarten Abwasserkonzeptes auf Basis der BIM-Methode.
Master / Diploma Thesis - Institut für Siedlungswasserbau, Industriewasserwirtschaft und Gewässerschutz (SIG), BOKU-Universität für Bodenkultur, pp 140. UB BOKU obvsg

Data Source: ZID Abstracts
Abstract:
Climate change, the climate targets that have been set, increasing urbanisation, but also digitalisation pose new challenges for wastewater management and at the same time bring new opportunities. In terms of climate-sensitive development, considering the opportunities arising from digitalisation, green roofs and façades, infiltration trenches, retention basins, greywater reuse or wastewater heat recovery systems can be used. They can establish a circular economy through multiple uses and thus save resources and increase efficiency. Integral concepts, such as a circular economy, represent complex systems and require a multitude of information to create synergies and benefits. Smart digital systems can support this process. A combination of integral and smart approaches can be done using the BIM method. This is a method that is based on a networked collaboration of all project participants and delivers, among other things, a multi-dimensional model (digital twin) of the system with a stored database as a result. A neighbourhood-level approach is the necessary intermediate step for future holistic city models. After possible technologies for future wastewater concepts are presented, the status regarding the implementation of the respective technologies according to the BIM method is disclosed based on a literature search and a BIM model query. For this, literature and existing models including structure and components are presented. It is shown that above all the operation and determination of the performance of the systems is not sufficiently represented. In the context of this work, this gap is to be closed by means of semantic models that enable operation and evaluation based on key operating figures and the integration of strategic data.

Beurteilende*r: Ertl Thomas
1.Mitwirkender: Kretschmer Florian
2.Mitwirkender: Prenner Flora

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