Research Projects
There are 84 results.
SPOT – Smart Parking Space Optimization Tool
SPOT develops a data-driven tool for demand-oriented optimization of parking spaces in urban areas to use space more efficiently and promote climate neutrality. The tool supports cities in reducing parking areas and creating green spaces by calculating evidence-based parking space ratios.
Stadtwandel - sustainable transformation and climate change adaptation of town and city centers
Stadtwandel aims to initiate sustainable transformation in small cities and municipalities.
EWV4EnergyTransition - Concrete Contributions to the Urban Energy Transition Using the Example of Properties Owned by the Evangelischer Waisenversorgungsverein Wien
The project addresses key challenges in expanding renewable energy and establishing renewable energy communities within densely built urban areas. The aim is to clearly identify these challenges first and subsequently develop effective solutions through an inclusive and gender-sensitive communication strategy.
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.
#EEG++ Digital Energy Communities Optimized
The project aims to develop an innovative energy system for plus-energy neighborhoods by integrating advanced photovoltaic installations, IoT technology, and energy communities to maximize the self-consumption of renewable energy while ensuring economic efficiency and user-centricity.
ELEMENTS - Development of a procedure for the evaluation of elements of the post-war building stock (1960 - 1979) in Graz, Austria
Investigation of the building stock constructed in Graz between 1960 and 1980 with the aim of creating the basis for developing a potential analysis procedure regarding its preservation and refurbishment. Stakeholders, including those from the fields of planning and building practice, will be involved in the development of the results.
ESG-STADTLABOR as a driver of technology and innovation for the climate-neutral city
The primary objective of the ESG-STADTLABOR is to lay the foundations for ESG-compliant urban development and urban administration, to develop innovative strategies that support sustainable and socially urban development, while increasing efficiency and trustworthiness in administration.
IntEGrity - Integration and Diffusion of Energy Communities
IntEGrity aims at fully integrating energy communities in the existing energy landscape in order to push for efficient diffusion and to use the potential of the positive contribution to energy awareness, efficiency and climate neutrality. In order to fully enable integration, the project explores innovative developments on three levels - social level, energy community level and service level.
InSite - Monitoring and evaluation of innovative demonstration buildings
In the "Stadt der Zukunft" and "Smart City Initiative" programmes, a large number of demonstration projects have been implemented in recent years. To be able to evaluate the developed innovations in a uniform and comparable form and to make the knowledge gained accessible to implementers, InSite subjects 10 selected objects from these programmes to energy and ecological monitoring as well as sociological surveys over a period of 24 months. The interpreted results are publicly available as a published study and as an interactive online platform.
Klimagärten³ - Biodiverse, CO2-saving, close to nature: climate gardens³ for Austria's garden future
The Klimagärten³ project is dedicated to the climate-friendly design of gardens and green spaces in Austria. The focus is on activating the previously untapped climate protection potential of private and public gardens. Through research, practical trialling and social networking, ways are shown in which gardens can act as CO₂ sinks and strengthen biodiversity.
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.
RST Reloaded - Flexibilisation of the urban power supply system by adapting the existing ripple control system
"RST reloaded" utilises existing ripple control technology (RST) to activate flexible loads in a targeted manner to benefit the grid and thus create capacities for more renewable energy in urban electricity grids. The aim is to analyse technical potential and user acceptance in equal measure and validate them in an implementation. The approach is scalable, legally compliant and transferable to other municipal utilities.
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.
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.