Bluetooth home control system

Purpose of this project was to realise a wireless intelligent home, that can be radio controlled from each bluetooth compatible mobile (2 mrd in curculation all over around the world). Entrence, security and also to control electrical devices where the cornerstones of this project.

New aluminium - sun collector

The development of a new aluminium - sun collector, where the working- fluid completely run through the absorber- area, to reach a higher efficiency.

Energy Efficiency and Risk Management in Public Buildings (EnRiMa)

The major objective of the project EnRiMa was to develop an internet based decision-support system (DSS) to enable operators of public buildings to increase the system efficiency as well as to reduce the CO2 emissions. The DSS can be linked to existing energy management systems as DESIGOTM. The University of Applied Science Burgenland, Campus Pinkafeld, and ENERGYbase, Vienna, have been used to test and calibrate the EnRiMa DSS.

Optimisation of ecological construction components for industrial serial production of precast elements

The project focused on passive house elements from straw and clay. Special interest was paid at a novel straw insulation as well as at an efficient drying process of the clay. Sustainability of the building materials was a very important aspect within the project.

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.

ReAssuRe – risk management for re-use of construction components and building technology by non-destructive on-site testing procedures

Risk assessment and insurability is essential for the re-use of functional components in buildings. In the best case, properties of components can be examined before they are removed from the donor building. ReAssuRe identifies suitable on-site testing procedures and establishes a network for the quality assurance of re-use components.

RCC2 - Life cycle assessment of heatable formwork for CO2-reduced and climate-neutral concrete

Experimental development of innovative formulations of CO2-reduced concrete and heated formwork to support early strength development in wintry temperatures.

Topview - Methodology for the efficient use of remote sensing data for climate change adaptation and spatial energy planning

Development of integrated approaches to sustainable energy and heat planning in urban areas by utilising remote sensing data and geo-information-based technologies for decision-making in the planning of energy infrastructures and climate adaptation measures.

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.

MaBo - material saving in bored piles - a contribution to reducing CO2-emissions in the construction industry

Development of an innovative method for saving material in bored piles in order to reduce CO2 emissions in the construction industry. By optimizing the construction methods and using alternative materials, the sustainability of the foundation bodies is to be improved.

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.

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.

HeinrichBiCool - Climate-positive cooling and biodiversity through intensive greening of buildings

Using the example of an existing building of the University of Graz, currently affected by overheating, the project demonstrates what greening can achieve. Comprehensive monitoring of the indoor climate, building physics, energy requirements and biodiversity before and after the greening measures provides new scientific findings on the actual effectiveness of building greening.

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.

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.

GreenFDT – Green Façade Digital Twin

In an interdisciplinary framework, the possibilities for optimizing the rear ventilation distance of façade greening elements and their potential impact on indoor and ur­ban climate are being investigated. The precise and comprehensive investigation of these relationships is made possible by the extensive deployment of sensors and measuring tools and furthermore the development and integration of a digital twin in a BIM model.

TOPS – Topologieoptimierte Stahlbetondecken mit digitaler Schalung und Bewehrung

Das Projekt TOPS untersucht materialeffiziente Rippendecken aus Stahlbeton, die durch Topologieoptimierung bis zu 50 % Beton im Vergleich zu herkömmlichen Flachdecken einsparen. Ein „File-to-Factory“-Prozess ermöglicht die automatisierte Schalungs- und Bewehrungsfertigung mit digitalen Technologien. Die Anwendung der Bauweise reduziert CO₂-Emissionen und trägt zur Dekarbonisierung des Bauwesens bei.

StirliQ+ Komponentenentwicklung des Expansions-Stirling-Generators mit überkritischem Fluid als Arbeits- & Schmiermedium

Technische Erforschung und Weiterentwicklung von Details bzw. Komponenten des neuartigen StirliQ-Motors, der das Potential hat, die technischen Hürden herkömmlicher Stirling-Motoren zu überwinden. Anhand von Simulationen sowie einer Laboranlage erfolgt eine Eingrenzung der Prozessparameter hinsichtlich einer belastbare Vordimension von Apparatekomponenten.

CEPA-Connect

Die CEPA-Energiefassade ist ein innovatives System zur Gebäudesanierung mit einer außenliegenden aktiven Energieebene. Der Sanierungsmarkt soll hiermit revolutioniert werden. Bei der Entwicklung des Systems stehen Fragen einer ganzheitlichen Lösung für die thermisch-energetische Sanierung von Gebäuden im Fokus.

BOSS - Causal AI für erklärbare und skalierbare Fehlerdiagnose in Gebäuden

Das Projekt entwickelt neuartige Causal-AI-Methoden zur automatisierten Fehlererkennung in Gebäuden. Ziel ist es, semantische Strukturen aus Zeitreihen abzuleiten und Ursache-Wirkungs-Beziehungen transparent zu modellieren. So entsteht die Grundlage für skalierbare, erklärbare FDD-Lösungen zur Reduktion von Energieverbrauch und Emissionen im Gebäudesektor.