Submission ID 115081
Session Title | AM - New Technologies in Asset Management |
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Title | Asset information management as part of resource protection |
Abstract | The construction sector requires a large amount of resources, which has a negative impact on the environment. There is, therefore, great potential for innovation to significantly improve sustainability in construction. Public authorities, such as cities and municipalities, have a leading role to play in civil engineering during their construction projects and, at the same time, have a significant influence on resource efficiency. In the "RekoTi" project funded by the Federal Ministry of Education and Research (BMBF), a resource plan for municipal civil engineering is being developed in collaboration with universities, municipalities, and construction companies. This is intended to enable local authorities to identify sustainability potential and increase the resource efficiency of their traffic areas, sewers, and bridges. To support public authorities in the process and to concretize their options for action, the research consortium is developing a prototypical digital "resource plan for municipal civil engineering" ("RekoTi") over the project period of three years using the example of the city of Münster. The constellation of project partners has been chosen to ensure interdisciplinary cooperation, which will make it possible to identify deficits in existing procedures, develop optimization proposals, and apply them to a trial system. The "RekoTi" project is thus intended to make a long-term contribution to sustainable resource conservation in public (municipal) civil engineering. |
Presentation Description (for App) | To develop asset management technical, ecological, economic and legal framework conditions are surveyed and innovative, resource-specific technologies and processes as well as management concepts are developed. The data collected will be used to identify deficits and potential with increasing resource efficiency in mineral material flows and to derive optimization approaches. |
Author and/or Presenter Information | Marlena Block, Ruhr University Bochum, Germany Alexander Buttgereit, Jade University, Germany Stefan Gomolluch, Other |