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.
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.
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.
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.
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.
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.
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.
StirliQ+ Component development of the expansion Stirling generator with supercritical fluid as working & lubrication medium
Technical research and further development of details or components of the novel StirliQ engine, which has the potential to overcome the technical hurdles of conventional Stirling engines. On the basis of simulations as well as a laboratory plant, a narrowing down of the process parameters with regard to a resilient pre-dimension of apparatus components is carried out.
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.
ThermEcoFlow: Innovative technologies and methods for indoor air comfort and energy optimisation in thermal spa buildings
ThermEcoFlow aims to optimize the energy consumption of thermal spas facilities through improved simulation models and AI-supported control systems. By precisely modelling airflow, humidity loads, and evaporation, combined with AI-driven regulation, the project seeks to reduce energy consumption and CO₂ emissions in the long term while enhancing indoor comfort for visitors.
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.
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.
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.
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.