Suchergebnisse
BATTMON - Increasing the usable charging capacity, service life and safety of battery storage systems in urban areas
The aim of BATTMON is to develop an improved method of determining the condition of battery storage systems for applications in buildings and neighborhoods. To this end, area-based foil sensors are being developed for the spatially resolved measurement of temperature and pressure. This data will be used to estimate the state of charge and also the state of health more accurately and to detect cell damage at an early stage in order to reduce the risk of fire and explosion.
fERNkornSAN – decarbonization and renovation with renewable materials of the "Gründerzeit"-building Fernkorngasse 41
Using the example "Gründerzeitgebäude" in Fernkorngasse 41, 1100 Vienna, technical challenges and issues related to phasing out gas and oil as well as adapting to climate change are investigated. A particular focus is placed on the use or resource-efficient and ecological building materials and highly efficient technologies. The results should be the basis for the use for further projects.
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.
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.
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.
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.
Lahof/Lanserhofsiedlung - Path to Zero CO2 - climate-neutral demonstration building in relation to the neighbourhood
The aim is to develop and implement an innovative, climate-neutral neighbourhood concept with various sustainable energy and building technology components. A central element here is the climate-neutral demonstration building in timber construction. This building is equipped with thermal component activation in solid wood and combines innovative energy concepts such as wastewater heat recovery, large photovoltaic systems and a hydrogen system for seasonal energy storage.
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.
sustAIn4Build - AI competence for sustainable building management in climate neutral cities
The objective of the project sustAIn4Build is to increase energy efficiency and sustainability in the building sector by using artificial intelligence (AI). Industry-specific training programs support Austrian companies to develop a workflow for integrating AI technologies into their processes, enabling them to develop resource-saving, cost-effective and sustainable solutions. This strengthens their competitiveness and contributes to the achievement of European decarbonisation goals.
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.
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.
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.
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.
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.
Favorite Facades Reuse
The exploratory project "Favorite Facade ReUse" has set itself the goal of renovating and thermally upgrading buildings with curtain facades with a maximum proportion of reuse and the greatest possible protection of the residents. The authenticity of the building is preserved, and CO2 emissions are minimized.
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.
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.
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.