Research Projects
There are 104 results.
Fit4Heat_Rust - Future-proof heating network in Rust
Development of an innovative, sector-coupled heating network concept for the city of Rust that flexibly integrates renewable heat sources and cooling provision and enables third-party access in accordance with RED II.
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.
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.
TheSIS - Thermal renovation with internal insulation systems - investigation and development of moisture-proof solutions
Development of innovative solutions for the retrofit of the building envelope with internal insulation with a focus on the hygrothermal optimization of a moisture-adaptive vapor retarder in form of a paint coating. As a result, the moisture hazard related to the implementation of internal insulation systems is reduced and the energetic, comfort-related and economic advantages are made available.
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.
MasSan - Feasibility study of serial renovation concepts & models in Austria
Feasibility study to present and analyze the framework conditions and potential of serial renovations of large-volume buildings. The findings from the national pilot projects as well as the international / German projects and models are extracted and checked for their feasibility in the Austrian context and the requirements are prepared.
IMPACT – Hybrid hydraulic and electric charging of stratified compact hot water
The IMPACT project is developing an innovative decentralised hot water storage technology for large-volume urban housing. Thanks to a novel, flat design, the system enables highly efficient utilisation of renewable energy sources such as heat pumps and photovoltaics. The aim is to create a cost-efficient, sustainable solution for decarbonising water heating that is optimised using intelligent energy management and machine learning methods.
FlexHP - AI-supported control models for optimising the flexibility of heat pumps to reduce the load on the electricity grid
Development of a new type of energy management system for heat pumps that enables methods for intelligent heat pump operation and thus maximises flexibility. This requires forecast-based models for control that utilise technologies such as machine learning.
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.
FluccoSan - Circular energy flexibility for resilient, climate-neutral refurbishments
FluccoSan aims to develop innovative and cost-effective refurbishment solutions for the building sector that contribute to achieving the Austrian federal government's climate targets. The focus is on energy-efficient, minimally invasive and socially acceptable measures, so-called “dynamic renovations”. By integrating the circular economy and social science research, these solutions should ensure long-term sustainability and a high level of acceptance among users. Status: ongoing
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.
BIM.sustAIn - Artificial Intelligence to enhance sustainability in BIM projects
The construction sector faces growing challenges in meeting sustainability requirements, particularly during early project phases where key decisions on materials, construction methods, and energy concepts are made. This project aims to leverage AI and BIM to optimize sustainability assessments by providing precise CO₂ balance forecasts and material suggestions. The innovative approach reduces manual effort and supports the implementation of climate-neutral construction, contributing significantly to Austria’s climate goals.
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.
NEBKritQ - New European Bauhaus Quality Criteria for Sustainable Urban Development
The aim of the NEBKritQ project is to develop quality criteria and process recommendations for sustainable neighborhood development based on the dimensions of the New European Bauhaus (ecological sustainability, aesthetics, social inclusion), which can be used for both the evaluation and the project development and application process of neighborhood development projects.
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.
SAGE - scalable multi-agent architectures for facility management and energy efficiency
The SAGE project is developing scalable multi-agent architectures that enable buildings to recognize operational anomalies autonomously and react dynamically to environmental changes. The integration of multi-agent architectures in combination with Large Language Models (LLMs) and the development of a human-in-the-loop approach will optimize the collaboration between humans and machines. These solutions should significantly reduce the energy consumption of buildings and increase user-friendliness.