Research Projects
There are 37 results.
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.
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.
GreenFDT – Green Façade Digital Twin
In an interdisciplinary framework, the possibilities for optimizing the rear ventilation distance of façade greening elements and their potential impact on indoor and urban climate are being investigated. The precise and comprehensive investigation of these relationships is made possible by the extensive deployment of sensors and measuring tools and furthermore the development and integration of a digital twin in a BIM model.
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.
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.
Green BIM 3 - Tools for Standardised Data Integration of BIM and Digital Twins, Including Ecosystem Services
The project aims to enhance the availability and integration of BIM data, ecological parameters, and other relevant information into the workflows of the green sector. To achieve this, a web-based application with suitable interfaces will be developed. The foundation for this is a detailed requirement specification, which will be established through interviews, workshops, and research, linking the individual components of the application.
Vitality City - Holistic energy strategies for cities in transition
Energy simulation of any size city (municipalities) based on the data from laser scanning and satellite analysis (Geodata) to obtain dynamical energy demands and available energy resources.
ReAssuRe – risk management for re-use of construction components and building technology by non-destructive on-site testing procedures
Risk assessment and insurability is essential for the re-use of functional components in buildings. In the best case, properties of components can be examined before they are removed from the donor building. ReAssuRe identifies suitable on-site testing procedures and establishes a network for the quality assurance of re-use components.
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.
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.
AnergieLeichtGemacht - Development of Scalable Implementation Models for Geothermal Anergy Networks to Decarbonize the Building Sector
The project develops standardized technical, organizational, and financial implementation models for anergy networks to enable sustainable heating solutions in cities and municipalities. By identifying suitable settlement typologies, analyzing existing framework conditions, and engaging stakeholders, scalable solutions are created. The goal is to reduce planning and implementation barriers and facilitate investments in local anergy networks.
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.
MokiG: Monitoring for climate-neutral buildings
The aim is to develop and implement an innovative monitoring concept to demonstrate the achievement of climate neutrality in buildings. A central element here is the integration and linking of various data sources. The basis for this is a data mesh structure, artificial intelligence and the creation of digital twins. Finally, the methodology will be tested on real buildings and discussed with users.
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.
ThermEcoFlow: Innovative technologies and methods for indoor air comfort and energy optimisation in thermal spa buildings
ThermEcoFlow aims to optimize the energy consumption of thermal spas facilities through improved simulation models and AI-supported control systems. By precisely modelling airflow, humidity loads, and evaporation, combined with AI-driven regulation, the project seeks to reduce energy consumption and CO₂ emissions in the long term while enhancing indoor comfort for visitors.
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.
TOPS – Topology-optimised reinforced concrete slabs with digital formwork and reinforcement
The TOPS project is investigating material-efficient ribbed concrete slabs, which save up to 50% of the concrete used in conventional flat slabs by topology-optimisation. A 'file-to-factory' process enables the automated production of formwork and reinforcement using digital technologies. The construction method reduces CO₂ emissions and contributes to the decarbonisation of the construction industry.
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.
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.
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.