Research Projects
There are 90 results.
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.
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.
Climbing plant NAVI - Webapplication for the reliable selection of climbing plants
The comprehensive web application "Climbing Plants NAVI" takes important parameters such as the type of greening, weight classes, toxicity, ecological value, the possibility of culinary use, into account and thereby supports the selection of suitable climbing plants for greening projects. The climbing plants NAVI is not only intended for municipal representatives, planners and other professionals, but is also directed at private individuals.
FluccoSan - Circular energy flexibility for resilient, climate-neutral refurbishments
FluccoSan aims to develop innovative and cost-effective refurbishment solutions for the building sector that contribute to achieving the Austrian federal government's climate targets. The focus is on energy-efficient, minimally invasive and socially acceptable measures, so-called “dynamic renovations”. By integrating the circular economy and social science research, these solutions should ensure long-term sustainability and a high level of acceptance among users. Status: ongoing
Exploration project “Glangaerten” – development of a climate neutral neighbourhood in Salzburg Maxglan
In the course of the exploratory talks, the concepts for the development of the climate-neutral district will be developed. Basics are being developed for the topics: citizen participation – mixed use – energy – mobility and open space with the aim of realising a sustainable Plus Energy Quarter that brings added value to the district.
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.
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.
NEBKritQ - New European Bauhaus Quality Criteria for Sustainable Urban Development
The aim of the NEBKritQ project is to develop quality criteria and process recommendations for sustainable neighborhood development based on the dimensions of the New European Bauhaus (ecological sustainability, aesthetics, social inclusion), which can be used for both the evaluation and the project development and application process of neighborhood development projects.
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.
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.
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.
RIGOR - Towards reproducible, transparent, and valid AI methods for buildings and cities
The RIGOR project investigates the actual added value and scientific reliability of AI-based methods in the context of buildings, districts, and cities. It focuses on reproducibility, transparency, and the objective comparison of modern AI approaches with simple, robust baseline models. The goal is to establish an evidence-based foundation for the responsible use of artificial intelligence in energy- and safety-critical applications in the built environment.
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 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.
SUDICA - Sustainable Digitalization as a Challenge for City Administrations
The project investigates the tension between digitization and sustainability in city administrations, particularly focusing on the largely unaddressed, negative global feedback effects of digital technologies. It aims to systematize these interactions, develop an integrative understanding, and lay the groundwork for a more sustainable use of digitization in municipal decisions.
FacilityQ - Machine-readable building data for building operation
FacilityQ develops an AI-supported, standards-based workflow for the automated and seamless transfer of planning and construction data to building operations. Semantic data modeling, document classification, and interoperable interfaces create a scalable process that drastically reduces the effort and costs when starting building operation.
KaTaSi - Exploratory Project: Opportunities for the Renovation and Upgrading of the Kanaltaler Settlement in St. Veit
With this exploratory project, the city of St. Veit aims to establish a best practice – preserving existing qualities and adding new ones, addressing structural, physical, urban planning, architectural, and other challenges – while ensuring ecological, social, and economic sustainability.
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.
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.
KPQ goes NEB – Transformation of a Climate Pioneer Existing Neighborhood Using NEB Quality Criteria (Based on KPQ Graz)
With the "Climate Pioneer City Graz" (KPS Graz) project, the City of Graz is pursuing the strategic implementation of its climate protection plan by developing climate-neutral neighbourhoods, among other things. Based on the ongoing exploratory project "KPQ Graz", "KPQ goes NEB" focuses on the climate-neutral transformation of the Roseggersiedlung - a residential neighbourhood owned by Wohnen Graz dating back to the 1940s with 395 residential units. The aim is to transfer tried-and-tested development processes from new-build and conversion projects to the more complex environment of an existing neighbourhood.