Research Projects
There are 40 results.
SPOT – Smart Parking Space Optimization Tool
SPOT develops a data-driven tool for demand-oriented optimization of parking spaces in urban areas to use space more efficiently and promote climate neutrality. The tool supports cities in reducing parking areas and creating green spaces by calculating evidence-based parking space ratios.
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.
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.
StatiPLANT - Exploration of a standardized model for the static assessment of climbing plants
The StatiPLANT project aims to systematically record and analyze static loads on vertically greened facades caused by climbing plants under the influence of wind, tensile forces, and dead loads of the plants. The goal is to develop a conceptual, parameterizable assessment model as the basis for a standardized design procedure in structural engineering.
CoSpatial Heat - Joint spatial coordination of heat supply in Gleisdorf
CoSpatial Heat is developing an integrated, geodata-based heating and gas supply planning concept for the Gleisdorf region. By jointly considering space heating, process heat, and gas infrastructure, future supply, expansion, and decommissioning areas are identified. The systemic integration of GIS analyses, consumption data, energy audits, and stakeholder knowledge generates robust decision-making foundations for municipalities, industry, and network operators.
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.
RIGOR - Towards reproducible, transparent, and valid AI methods for buildings and cities
The RIGOR project investigates the actual added value and scientific reliability of AI-based methods in the context of buildings, districts, and cities. It focuses on reproducibility, transparency, and the objective comparison of modern AI approaches with simple, robust baseline models. The goal is to establish an evidence-based foundation for the responsible use of artificial intelligence in energy- and safety-critical applications in the built environment.
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.
REHSA - Regenerative House for Health
REHSA focuses on the topic of "Demonstration of innovative building technologies and prototypes." The project will develop a groundbreaking, regenerative clinic model that goes far beyond conventional sustainability and combines innovative architecture, circular resource use, intelligent IT and medical technologies, and healing, people-centered environments.
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.
ReCapture - Rapid Capture and Precise Analysis of the Building Envelope as a Basis for Circular Economy in the Existing Building Stock
The goal of the study is to evaluate a novel sensor- and AI-based technology for automated detection, semantic segmentation, and 3D modeling of building envelopes.
Wärmezukunft Steyr - Innovative Models for Climate-Neutral Heat Supply in Steyr
The project aims to establish the foundation for a climate-neutral, socially inclusive, and economically viable heating and cooling system in a pioneer city. It combines technical planning with governance approaches and the development of business and operator models. A special focus is placed on anergy networks, which - despite high upfront investments - offer strong potential for low-temperature, dual-purpose heating and cooling supply.
MARGRET Bioshade - Building Physics-Based Quantification of the Shading and Cooling Performance of Building Greening
The MARGRET Bioshade project investigates the impact of building greening on energy efficiency, climate adaptation, and building assessment. Its focus is on quantifying the shading performance of vertical greening systems, analyzing the water balance and evaporative cooling effects of different greening solutions, and developing standardized parameters for planning, simulation, and technical guidelines.
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.