Research Projects
There are 37 results.
V-Form – Manufacturing unreinforced vaulted concrete floors with variable pneumatic formworks
V-Form is working on the development of vaulted concrete floors in terms of structural design and building physics, as well as on a new formwork system. Thanks to the efficient shell construction, around 70% CO2eq-emissions can be saved compared to reinforced concrete flat slabs. The reusable and variable pneumatic formwork system aims to enable the economical production of the double-curved concrete shells.
BOSS - Building Energy Systems on causal reasoning
The project develops novel Causal AI methods for automated fault detection in buildings. It aims to derive semantic structures from time series data and transparently model cause-effect relationships. This provides the foundation for scalable, explainable FDD solutions to reduce energy consumption and emissions in the building sector.
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.
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.
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.
StirliQ+ Component development of the expansion Stirling generator with supercritical fluid as working & lubrication medium
Technical research and further development of details or components of the novel StirliQ engine, which has the potential to overcome the technical hurdles of conventional Stirling engines. On the basis of simulations as well as a laboratory plant, a narrowing down of the process parameters with regard to a resilient pre-dimension of apparatus components is carried out.
NeoEAI4Control - Neuro-Symbolic Edge AI for Efficient and Robust Control in Energy Management
Increasing energy efficiency in buildings is a key goal of the energy transition, which, together with increasing digitalization, is leading to new requirements for intelligent control and regulation. Traditional control methods are reaching their limits. As part of the project, we propose the use of edge AI with specialized neuromorphic chips to enable scalable, decentralized, efficient, and real-time control in buildings.
NEXUS - AI for Next Generation Smart Buildings
he NEXUS project develops a novel AI-based framework for scalable fault detection and predictive maintenance of HVAC systems in buildings. NEXUS enables early fault detection without the need for large labeled datasets. The project aims to significantly reduce energy consumption, extend system lifetimes, and contribute to the decarbonization of the building sector.
Circular Bio Floor- Floor construction made from biomaterials
In this project biogenic building materials from wood industry waste and geopolymer binders are developed that can be used as tamped fill or 3D-printed dry-screed elements in timber construction. These materials offer functional benefits and an excellent eco-balance, contribute to the conservation of forests and enable the production of separable and reusable floor segment panels using digital manufacturing technologies. That significantly reduces the consumption of primary raw materials.
U-Bahn goes circular - Increasing the Circular Economy in the Civil Engineering Works of Vienna’s Subway Lines
The objective is to develop and pilot strategies for the reuse and material recovery of excavated materials in order to significantly reduce CO₂ emissions, landfill volumes, and the use of primary raw materials. To this end, innovative analytical methods, digital tools, new business models, and the legal frameworks at the interface between construction and waste legislation are addressed. The results are intended to serve as the basis for a subsequent real-world laboratory and to enable scalable processes for future infrastructure projects. In doing so, the project makes a tangible contribution to climate neutrality, resource conservation, and sustainable procurement in public construction.
LiveDetail - AI-Supported Structuring, Evaluation, and Generation of Construction Details
The exploratory project investigates the feasibility of an AI-supported workflow that can automatically identify, semantically structure, and convert technical planning details into an openBIM-/IFC-compatible format while also enriching them with ecological assessment indicators. Its objective is to enable planners and architects to access high-quality detail knowledge through intelligent, language-based interaction and thus support more sustainable and resource-efficient planning decisions in the construction industry.
FacilityQ - Machine-readable building data for building operation
FacilityQ develops an AI-supported, standards-based workflow for the automated and seamless transfer of planning and construction data to building operations. Semantic data modeling, document classification, and interoperable interfaces create a scalable process that drastically reduces the effort and costs when starting building operation.
Wood.TAB - Investigation of thermally activatable timber components incorporating phase‑change materials for heating and cooling
Wood.TAB develops thermally activatable timber components with biogenic phase‑change materials for efficient heat and cold storage. The technology uses the building mass as a thermal storage system, reduces peak loads, and improves indoor comfort.
MaBo - material saving in bored piles - a contribution to reducing CO2-emissions in the construction industry
Development of an innovative method for saving material in bored piles in order to reduce CO2 emissions in the construction industry. By optimizing the construction methods and using alternative materials, the sustainability of the foundation bodies is to be improved.