Suchergebnisse
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.
Smart Dag - smart and climate-neutral renovation of the Dag Hammarskjöld housing estate
For a smart and sustainable renovation of the Dag Hammarskjöld housing estate in the city of Klagenfurt, a residential area from the 1950/1960s, the existing housing stock (buildings, green and open space, social structure) will be analysed and assessed based on the "Quartier &Wir" guide. The results are the basis for the launch of an architectural competition. The residents of the area who still live on site and the housing development agency of the department of the provincial Carinthian Government are involved in the feasibility study. The aim is to transfer the results of the study to other renovation projects and thus contribute to achieving the city of Klagenfurt's climate goals.
ResourceRevival - District development from industry site to resource neutrality in Möllersdorf
The reuse of building elements is a much-discussed topic, but a truly circular district encompasses much more. Through interdisciplinary cooperation as part of a co-creative concept development at the Werk Möllersdorf, previously separately considered aspects of the circular economy are combined, symbioses between demand and availability of materials, energy, rainwater and grey water are identified and their circularity is maximized.
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.
SAFE - Creating a safe school environment together
Tactical urbanism for the temporary redesign of school surroundings to reorganize school mobility in a participatory process. The resulting catalogue of measures will serve as a blueprint for an implementation at other schools in Austria.
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.
BIPV-Booster - Game changer for façade-integrated PV systems: Development of proof-free constructions regarding fire protection
The central result of the project will be the development of a catalogue of “proof-free constructions” with regard to fire protection for façade-integrated photovoltaic systems, particularly for the more difficult case of high-rise buildings. These constructions will be defined in the project and tested in fire tests. The fire tests are to be supplemented by electrical and material-related module tests before and after the fire tests.
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.
Abwärme_4_Kapfenberg - 100 % industrielle Abwärmeauskopplung Kapfenberg
The project aims to explore the feasibility of maximizing industrial waste heat extraction into the district heating system of the municipality of Kapfenberg to foster the defossilization path.
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.
CEPA-Connect
The CEPA energy facade is an innovative building refurbishment system with an external active energy level. The aim is to revolutionize the refurbishment market. The development of the system focuses on holistic solutions for the thermal-energetic refurbishment of buildings.
Climate communities
Transdisciplinarily developed climate-friendly solutions for decarbonisation of the building stock in small and medium-sized municipalities. The application of the sample solutions will readily identifiable through a web tool.
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.
GeoDatKlim - Geo Data and Satellite Data for Carbon Neutral Cities
The Vienna Geospace Hub innovation lab will help optimize the application of geospatial and satellite data to solve complex urban challenges. The innovation lab serves as a networking platform for administration, science, economy, as well as a development and test environment for innovative use cases.
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.