Research Projects
There are 70 results.
Kimoni – Artificial Intelligence for Monitoring the Performance of Green Infrastructure
Kimoni develops an AI-based tool for high-resolution analysis and assessment of Green Infrastructure for climate change adaptation. By combining satellite and geospatial data with machine learning, Kimoni provides a cost-efficient and scalable solution to comply with the EU Taxonomy and optimize climate-friendly investments.
MasSan - Feasibility study of serial renovation concepts & models in Austria
Feasibility study to present and analyze the framework conditions and potential of serial renovations of large-volume buildings. The findings from the national pilot projects as well as the international / German projects and models are extracted and checked for their feasibility in the Austrian context and the requirements are prepared.
BIOCHARm - Assessing the Potential of Biochar in Construction as a Contribution to Climate Neutrality
The project investigates the potential and limits of the use of biochar in the Austrian construction sector. The participating organisations gain valuable insights into the availability and suitability of biogenic material flows, the possible uses of biochar and the possibility of storing atmospheric carbon in the construction sector.
crowd2raum - Participatory co-financing models for socially innovative and sustainable reactivation for vacancies
As part of the exploratory project "crowd2raum", existing funding and support programmes are being combined with existing crowdfunding mechanisms (imGrätzl.at/WeLocally.at platform) to create a co-financing model for vacancy activation. This will be developed and tested in practice through the activation of four vacant spaces in the base zone in the defined pilot areas in Vienna and Graz.
OWA’s future - Otto Wagner Area: A trend-setting transformation from a medical institution into a NEB neighbourhood
Development of qualitative and quantitative planning objectives as well as an implementation strategy for the transformation of the Otto Wagner Area along the New European Bauhaus guidelines. The basis is formed by interdisciplinary expert forums, which provide important insights for the necessary transformation of existing areas and buildings in other cities as well.
LenA circular houses - Demonstration of the circular architecture design process for circular andreuse building based on the lighthouse project LenA
The main objective is to research and demonstrate the positive climate impact of reuse in the construction industry. Through this (re)use of components, products and material groups, large shares of the emissions generated by the construction industry can be avoided and contribute to the targeted climate neutrality. Another aspect is to design the connections of the components in such a way that they can be deconstructed and reused.
ReSpace – Reclaiming Spaces
ReSpace is developing an AI-based model for identifying, categorizing, and activating sealed areas. Existing data sources (aerial and satellite images, mobile network data, land registry entries) are integrated and enhanced with dynamic analysis to derive evidence-based recommendations for action.
ESG-STADTLABOR as a driver of technology and innovation for the climate-neutral city
The primary objective of the ESG-STADTLABOR is to lay the foundations for ESG-compliant urban development and urban administration, to develop innovative strategies that support sustainable and socially urban development, while increasing efficiency and trustworthiness in administration.
ProzesSan - Development of processes to increase the decarbonisation and refurbishment rate in the housing sector
The project aims to assist owners of large property portfolios with the challenges of refurbishing their buildings. The first step is to identify the various obstacles and develop appropriate solutions. These will be tested in three workshop phases with the owners, and a workshop manual and guidelines will be developed.
AI4FM - Artificial Intelligence for Facility Management
AI-based anomaly and fault detection in buildings. Digital twins of buildings with simulation models for testing and optimizing rule-based fault detection methods. Mining of the recorded time-series data from existing Building Management Systems to train Machine Learning models for fault detection.