Projects

Here you will find R&D projects in the field of climate-neutral cities, which were funded as part of initiatives of the Federal Ministry for Innovation, Mobility, and Infrastructure - BMIMI (formerly BMK), such as "TIKS" or "City of the Future".

There are 59 results.

Klimaneutrale Stadt

Green BIM 3 - Tools for Standardised Data Integration of BIM and Digital Twins, Including Ecosystem Services

The project aims to enhance the availability and integration of BIM data, ecological parameters, and other relevant information into the workflows of the green sector. To achieve this, a web-based application with suitable interfaces will be developed. The foundation for this is a detailed requirement specification, which will be established through interviews, workshops, and research, linking the individual components of the application.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

KLAIR - Dynamic Microclimate Intelligence for Sustainable Urban Development

KLAIR develops an AI-powered, dynamic urban climate map that simulates microclimatic stress as well as future scenarios such as greening or densification. By integrating climate, structural and health data, the tool enables evidence-based evaluation of adaptation measures and their health impacts. In this way, KLAIR supports cities of all sizes in climate-resilient, socially equitable and cost-efficient planning.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

KliB40-Climate Compass: Climate-neutral Bregenz 2040, climate compass for the structured partici­pation of stakeholders and the citizens

The "KliB40 Climate Compass" supports Bregenz on its path to climate neutrality by 2040 through transparent development, selection, and monitoring of measures. It facilitates the coordination of climate protection activities and actively involves stake­holders. By evaluating existing software solutions, the project ensures optimal digital support for planning and implementing the city's climate strategy.

Klimaneutrale Stadt

LiveDetail - AI-Supported Structuring, Evaluation, and Generation of Construction Details

The exploratory project investigates the feasibility of an AI-supported workflow that can automatically identify, semantically structure, and convert technical planning details into an openBIM-/IFC-compatible format while also enriching them with ecological assessment indicators. Its objective is to enable planners and architects to access high-quality detail knowledge through intelligent, language-based interaction and thus support more sustainable and resource-efficient planning decisions in the construction industry.

Klimaneutrale Stadt

MARGRET Bioshade - Building Physics-Based Quantification of the Shading and Cooling Performance of Building Greening

The MARGRET Bioshade project investigates the impact of building greening on energy efficiency, climate adaptation, and building assessment. Its focus is on quantifying the shading performance of vertical greening systems, analyzing the water balance and evaporative cooling effects of different greening solutions, and developing standardized parameters for planning, simulation, and technical guidelines.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

NEB Resources - Potentials in the Existing Urban Fabric for a Socially Inclusive, Circular and Climate-Just Matzleinsdorf

NEB Resources collaborates with residents to develop a feasible and politically supported transformation concept for a socially inclusive, circular, and climate-friendly Matzleinsdorf neighborhood in Vienna's Margareten district. Co-research, temporary interventions, and prototypes activate material and immaterial resources, thereby transforming physical spaces and social relationships.

Klimaneutrale Stadt

NEXUS - AI for Next Generation Smart Buildings

he NEXUS project develops a novel AI-based framework for scalable fault detection and predictive maintenance of HVAC systems in buildings. NEXUS enables early fault detection without the need for large labeled datasets. The project aims to significantly reduce energy consumption, extend system lifetimes, and contribute to the decarbonization of the building sector.

Klimaneutrale Stadt

National ‘governance matrix’ for the mapping and display, optimization, and funding of spatial and urban planning across institutions (BW STMX STB)

Development of an interactive governance matrix for the nationwide mapping, registration and optimization of programs and funding tools for spatial planning at every scale. By creating transparency as well as placing existing policies and governance tools in relation to one another, the matrix offers an overview across departments and institutions that allows synergies to be utilized and gaps to be closed.

Klimaneutrale Stadt

NeoEAI4Control - Neuro-Symbolic Edge AI for Efficient and Robust Control in Energy Management

Increasing energy efficiency in buildings is a key goal of the energy transition, which, together with increasing digitalization, is leading to new requirements for intelligent control and regulation. Traditional control methods are reaching their limits. As part of the project, we propose the use of edge AI with specialized neuromorphic chips to enable scalable, decentralized, efficient, and real-time control in buildings.

Klimaneutrale Stadt

Q-Hub Villach - Climate neutrality and climate resilience as integral components of urban development instruments in Villach

The project aims to position the city of Villach as a model for systematic, climate-neutral and climate-resilient urban development by establishing the Q-Hub as a central hub between administration, research, business and civil society. This hub will develop methods, processes and standards and integrate them into urban planning instruments.

Klimaneutrale Stadt

QualitySysVillab - Protecting sustainable qualities in neighbourhood developments through process control and new digital methods

Development of a process concept to bring sustainable qualities in neighbourhood development from the intention and announcement level to the built reality. The process is supported by digital methods of energy and structural design and evaluated in the context of a case study.

Klimaneutrale Stadt

Quartiershub Itzling - Innovation Lab for the Development of the Salzburg Itzling District Hub

Establishment of an urban district hub for coordinated, integrated, and socially inclusive neighborhood development and climate-responsive transformation. The development and close integration of an actors-, project-, data-, and knowledge-hub enables the piloting and evaluation of innovative, transferable solutions for integrated neighborhood development.

Klimaneutrale Stadt

REHSA - Regenerative House for Health

REHSA focuses on the topic of "Demonstration of innovative building technologies and prototypes." The project will develop a groundbreaking, regenerative clinic model that goes far beyond conventional sustainability and combines innovative architecture, circular resource use, intelligent IT and medical technologies, and healing, people-centered environments.

Klimaneutrale Stadt

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.

Klimaneutrale Stadt

ReCapture - Rapid Capture and Precise Analysis of the Building Envelope as a Basis for Circular Economy in the Existing Building Stock

The goal of the study is to evaluate a novel sensor- and AI-based technology for automated detection, semantic segmentation, and 3D modeling of building envelopes.