Research Projects
There are 70 results.
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.
Exploration project “Glangaerten” – development of a climate neutral neighbourhood in Salzburg Maxglan
In the course of the exploratory talks, the concepts for the development of the climate-neutral district will be developed. Basics are being developed for the topics: citizen participation – mixed use – energy – mobility and open space with the aim of realising a sustainable Plus Energy Quarter that brings added value to the district.
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.
DigiHemp/ Digital technologies for quality assurance and performance enhancement of hemp-based building materials
Development of digital methods for describing, predicting and optimizing the thermal/mechanical properties of composite materials made from bio-based raw materials. Taking into account the complex material morphology as well as the properties of the components for the prediction of building material properties, the overall goal of increasing the use of bio-based building materials shall be achieved.
Climbing plant NAVI - Webapplication for the reliable selection of climbing plants
The comprehensive web application "Climbing Plants NAVI" takes important parameters such as the type of greening, weight classes, toxicity, ecological value, the possibility of culinary use, into account and thereby supports the selection of suitable climbing plants for greening projects. The climbing plants NAVI is not only intended for municipal representatives, planners and other professionals, but is also directed at private individuals.
NEB-Tischlerei-Melk - Development of a former joinery site into a multipliable European lighthouse NEB neighbourhood
The former production site of the Fürst Möbel GmbH shall be transformed into a climate-neutral, multifunctional, scalable mixed-use NEB city quarter. This quarter called “Tischlerei Melk” is intended to achieve the highest ambition levels of the NEB compass and to position and represent Austria strongly in this context. As the area is located next to the world-famous Abbey of Melk, the project has the potential to become an internationally known best-practice solution.
CircularBioMaterials
ParaStruct GmbH explores the technical and economic possibilities of recyclable, mineral-bound biomaterials in the project. The result is a basis for further development work and investments in this area.
iLESS - Intelligent load profile analysis to maximize self-consumption of solar power
The goal is to reconstruct the individual contributions of various devices from existing load profile curves. This problem is of fundamental importance in the context of maximizing self-consumption of solar power by private households.
cityclimAIte - Study on AI applications to achieve and support climate-neutral cities
The central task of this study is to provide decision-makers with a comprehensive overview and to derive recommendations for the efficient use and benefits of AI based on the estimated effects. The aim is to strengthen national value chain in this field of technology through appropriate, supportive framework conditions.
Diverse DH Pöchlarn - Diversification strategies for a sector-coupled district heating supply in the municipality of Pöchlarn
The project aims to explore the feasibility of maximizing industrial waste heat extraction into the district heating system of the municipality of Pöchlarn so that the defossilization path can be taken further.
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.
TEA-PUMP – Techno-economic Analysis of Thermoelectric Modules for Efficiency and Performance Enhancement in Heat Pumps for Residential Buildings
The TEA-Pump project explores the innovative use of thermoelectric elements (TEM) in compression heat pumps to enhance their efficiency and performance. Through a comprehensive techno-economic analysis, promising heat pump (HP) configurations for use in urban multi-family housing are identified. The project makes a significant contribution to the decarbonization of heating and cooling supply and supports the development of climate-neutral cities through energy-efficient, future-oriented heat pump technologies.
DataScience4SmartQuarters - Energy saving potentials through neighbourhood and community planning – Part 2
DataScience4SmartQuarters develops and researches an innovative method for the fast and efficient evaluation of simulation scenarios (building/energy, mobility) for communities.
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.
NEBKritQ - New European Bauhaus Quality Criteria for Sustainable Urban Development
Development of quality criteria and process proposals for sustainable urban development based on the dimensions of the New European Bauhaus (ecological sustainability, aesthetics, social inclusion), which can be used for the evaluation as well as for the project development and application of urban development projects.
Green BIM 2. Green Information Modelling and Operation: Transformation of the Green Sector through digitalisation
With the project "Green BIM 2" the technology leap from the previous project "Green BIM" – namely the use of BIM in the field of building greening – is continued for further application fields of landscape planning and the results are transmitted into working practice.
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.
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.
IntEGrity - Integration and Diffusion of Energy Communities
IntEGrity aims at fully integrating energy communities in the existing energy landscape in order to push for efficient diffusion and to use the potential of the positive contribution to energy awareness, efficiency and climate neutrality. In order to fully enable integration, the project explores innovative developments on three levels - social level, energy community level and service level.