Research Projects
There are 70 results.
ELEMENTS - Development of a procedure for the evaluation of elements of the post-war building stock (1960 - 1979) in Graz, Austria
Investigation of the building stock constructed in Graz between 1960 and 1980 with the aim of creating the basis for developing a potential analysis procedure regarding its preservation and refurbishment. Stakeholders, including those from the fields of planning and building practice, will be involved in the development of the results.
ESG-STADTLABOR as a driver of technology and innovation for the climate-neutral city
The primary objective of the ESG-STADTLABOR is to lay the foundations for ESG-compliant urban development and urban administration, to develop innovative strategies that support sustainable and socially urban development, while increasing efficiency and trustworthiness in administration.
Klimagärten³ - Biodiverse, CO2-saving, close to nature: climate gardens³ for Austria's garden future
The Klimagärten³ project is dedicated to the climate-friendly design of gardens and green spaces in Austria. The focus is on activating the previously untapped climate protection potential of private and public gardens. Through research, practical trialling and social networking, ways are shown in which gardens can act as CO₂ sinks and strengthen biodiversity.
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.
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.
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.
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.
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.
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.
RST Reloaded - Flexibilisation of the urban power supply system by adapting the existing ripple control system
"RST reloaded" utilises existing ripple control technology (RST) to activate flexible loads in a targeted manner to benefit the grid and thus create capacities for more renewable energy in urban electricity grids. The aim is to analyse technical potential and user acceptance in equal measure and validate them in an implementation. The approach is scalable, legally compliant and transferable to other municipal utilities.
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.
sewageENERGYrecovery - Performance comparison of different wastewater heat recovery systems for renewable heat generation
Independent detailed testing of the performance and efficiency of different wastewater heat recovery systems in actual operation by analysing measurement data. Evaluation of the analysed systems with regard to their optimal application possibilities.
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.
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.
5th Gen HG - 5th Generation Heating Grid Neutal
In the 5th Gen HG project, an energy supply concept based entirely on renewable electricity and heat is to be developed for the municipality of Neutal in Burgenland and the neighbouring technology site. A newly designed 5th generation heating grid will form the local energy distribution backbone in the municipality. In addition to the technical and economic conceptualisation, the integration of local stakeholder requirements is a key feature of the project.
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.
GreenGEO - Data-based integration of climate change adaptation measures into spatial planning
Green and blue infrastructure (GBI) is a key instrument in the fight against climate change. Nevertheless, deciding where and in what form it should be used most effectively remains a challenge in spatial planning practice. The development of a digital model that links location-specific climate risk data with suitable GBI measure proposals will make this much easier and more objective.
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.
GREEN Stone: development of a cement-free concrete with recycled content for applications in landscaping
The Green Stone project aims to develop geopolymer concrete with recycled materials in order to reduce the consumption of non-renewable resources and replace the cement content with alternative binders. The landscaping industry in particular requires lightweight, durable and weather-resistant materials.
GeoHub - Sustainable heat management of near-surface geothermal energy in urban environments
Innovative approaches to streamline geothermal projects from planning to operation, ensuring they are climate-neutral, resource-efficient, and economically viable.