Research Projects
There are 41 results.
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.
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.
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.
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.
Urban Sky - Satellite-based planning and analysis applications for climate-neutral and resilient cities
The project investigates how satellite data can support cities and municipalities (e.g. urban development, spatial energy planning, mobility transition). Based on demand and potential analyses, service concepts will be derived that integrate existing data and tools with satellite applications. The results will be presented in a study and a Space4Cities implementation roadmap.
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.
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.
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.
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.
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.
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.
Autology - the automated ontology generator
Ontologies form the basis for the acquisition, analysis/processing, utilization, documentation, and archiving of building and component data throughout all stages of the lifecycle. Currently, the semantic description and structuring of data can only be achieved with significant manual effort. At this point, the Autology project utilizes Artificial Intelligence. The overarching project objective is the automated extraction and generation of metadata for the creation of ontologies from the building automation system, employing innovative AI-based approaches.
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.
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.
SELF²B - self-aware, self-diagnosing buildings, HVAC, and PV systems for the next generation of energy efficient operations
SELF²B develops and demonstrates an AI-based, self-learning, and self-diagnosing fault detection and diagnosis (FDD) solution for HVAC and PV systems in two buildings in Vienna. The innovation surpasses the current state of the art by combining semantic data, ontologies, and machine learning. The goal is to achieve energy savings and efficiency improvements in building operations and to make the technology widely applicable.
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.