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Digitization in the construction and real estate industry
In the multitude of digital possibilities, it is very difficult to maintain an overview, to assess trends and potentials, and to recognize correlations. This report therefore aims to describe the current state of the art and the market assessment of promising digital technologies. Information is provided on concrete use cases, added value and challenges of the respective technologies. The analyses presented serve to assess the potential and set the strategic course for the integration of the currently most important digital technologies in the construction and real estate industry.
Documentation, comparison and processing of demonstration results on the topic of "Digital Building Twin"
The aim of the project was to compare results from two demonstration projects of a digital building twin and to document initial operational experiences.
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.
GeoDatKlim - Geo Data and Satellite Data for Carbon Neutral Cities
The Vienna Geospace Hub innovation lab will help optimize the application of geospatial and satellite data to solve complex urban challenges. The innovation lab serves as a networking platform for administration, science, economy, as well as a development and test environment for innovative use cases.
Green BIM - Green building infrastructure as part of BIM-based planning and maintenance
Fusion of greenery and BIM planning to achieve a friction-free conducting and maintenance. By analysing the case studies, “Green BIM” examined to what extent typical steps in planning regarding greened buildings can be edited by characteristic software programs in a BIM-equitable way. The expected outcomes are supplements to international standards for data structures in civil engineering (IFC / ISO 16739) which are further on added to BIM applications by the software industry.
Green SandboxBuilder - Regulatory sandboxes in the field of sustainable construction and renovation
In the "Green SandboxBuilder" project, for the first time in Austria, the need for regulatory sandboxes for ecologically sustainable and climate-effective projects in the building sector had been systematically explored. The implementation of regulatory sandboxes in the Austrian construction sector can contribute to decisively accelerating the introduction of technological, procedural and social innovations and thus to achieving the sustainability goals.
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.
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.
Housing 4.0 - digital platform for affordable living
The main aim of this project is the development of an integrated framework for the digital platform "Housing 4.0"; thus supporting integrated planning and project delivery through coupling various digital tools and databases. Thereby, the potentials of BIM for modular, off-site housing assembly in order to improve planning and construction processes, reduce cost and construction time and allow for mass customization will be explored. The novel approach in this project is user-involvement; which has been neglected in recent national and international projects on off-site, modular construction, supported by digital technologies.
KityVR - Artificial intelligence techniques to implement CityGML models and VR visualization
The goal of the project is to link 3D city models and virtual reality for energy-relevant applications as key-enabler for digital planning, construction and operational management. Missing data will be calculated using statistical enrichment methods.
M-DAB - Digitise, analyse and sustainably manage the city's material resources
The research project investigates how digital technologies can support us in determining the existing and future material resources in construction qualitatively (building materials and their recycling) and quantitatively (quantities of building materials).
M-DAB2: Material intensity of inner development - resource assessment and localization of urban development potentials
For the first time, the material intensity of inner development (in terms of material quantities) for different design variants was considered in the evaluation of inner development potentials. A set of methods for the holistic evaluation of potential areas and different development variants and scenarios for resource-saving inner development was created.
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.
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.
OctoAI: The next generation of high-performance edge AI for smart buildings
Current IoT (Internet of Things) solutions for buildings depend almost exclusively on cloud infrastructure and cloud-based services. In the OctoAI project, we are developing the next generation of high-performance Edge AI (Artificial Intelligence) for smart buildings. In OctoAI, we combine the concept of edge AI with user-centric energy services and test two edge-ready applications.
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.
ReCon: Development of a resilient hook-and-loop-fastening-system for the adaptable assembly of building components in the building industry
Systemic examination of the hook-and-loop fastener and building component interfaces for the development of a resilient fastening system between parts/components with different functions and lifespan. The desired result serves to verify the fastening system and forms a basis for further research and establishment in the building industry.
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.
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.
TOPS – Topology-optimised reinforced concrete slabs with digital formwork and reinforcement
The TOPS project is investigating material-efficient ribbed concrete slabs, which save up to 50% of the concrete used in conventional flat slabs by topology-optimisation. A 'file-to-factory' process enables the automated production of formwork and reinforcement using digital technologies. The construction method reduces CO₂ emissions and contributes to the decarbonisation of the construction industry.