Research Projects
There are 70 results.
SIMPLE AD Evaluator - S.I.M.P.L.E. Sustainable Integration Modeling and Predictive Leveraging Evaluator
The SIMPLE AD Evaluator fills an existing gap in sustainable local planning by providing a low-threshold and collaborative evaluation tool for early planning phases. By linking questionnaires with System Dynamics models, the tool delivers well-founded decision-making foundations and customized sustainability checklists. This supports municipalities, project developers, and decision-makers in achieving a strategic and cost-efficient sustainable transformation from concept to implementation.
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.
InSite - Monitoring and evaluation of innovative demonstration buildings
In the "Stadt der Zukunft" and "Smart City Initiative" programmes, a large number of demonstration projects have been implemented in recent years. To be able to evaluate the developed innovations in a uniform and comparable form and to make the knowledge gained accessible to implementers, InSite subjects 10 selected objects from these programmes to energy and ecological monitoring as well as sociological surveys over a period of 24 months. The interpreted results are publicly available as a published study and as an interactive online platform.
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.
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.
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.
PowerShade - Development of electricity-generating shading solutions for energy-flexible buildings in urban space
The main goal of the cooperative R&D project "PowerShade" was the development of low-cost and universally usable electricity-generating shading solutions for energy-flexible buildings in urban space.