Suchergebnisse
Digitalisierung in der Stadtplanung: Von der Raumplanung bis zur Digitalisierung im Bauwesen (PBM_integrativ)
Das Projekt schafft einen Überblick zu den behördlichen, wirtschaftlichen und planerischen Grundlagen und Verflechtungen sowie zum Informationsfluss bzw. zu -defiziten für die Planungs-, Bau- und Betriebsphasen im Lebenszyklus von Gebäuden.
Schriftenreihe
11/2021
R. Giffinger, A. Redlein, R. Kalasek, F. Pühringer, A. Brugger, A. Kammerhofer, P. Kerschbaum
Herausgeber: BMK
Deutsch, 88 Seiten
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Wohnen 4.0 - Digitale Plattform für leistbares Wohnen
Im vorliegenden Forschungsvorhaben wurde das Rahmenwerk für die digitale Plattform "Wohnen 4.0" entwickelt, welche durch eine Parameter-Datenbank und Koppelung digitaler Werkzeuge die integrale Projektabwicklung unterstützt. Der Fokus lag dabei auf der Entwicklung und Nutzung von BIM-Objektbibliotheken für die modulare Off-Site Produktion im Geschoßwohnbau. Erstmalig wurden auch Nutzer:innen beteiligt und dadurch der zunehmend wichtiger werdende Aspekt der Partizipation integriert.
Schriftenreihe
20/2023
S. Pibal, I. Kovacic, M. Lorbek, R. Jakoubek, J. Reisinger, R. Temel, M. Ilcik, M. Wimmer, B. Kerbl, D. Travas, A. Bajric, E. Hagmann, C. Hödl
Herausgeber: BMK
Deutsch, 79 Seiten
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Green SandboxBuilder: Regulatory Sandboxes im Bereich des nachhaltigen Bauens und Sanierens
Im Projekt "Green SandboxBuilder" wurde erstmals in Österreich der Bedarf an Regulatory Sandboxes für ökologisch nachhaltige und klimawirksame Vorhaben im Baubereich systematisch erhoben. Die Umsetzung von Regulatory Sandboxes im österreichischen Bausektor kann dazu beitragen, die Einführung von technologischen, prozessualen und sozialen Innovationen entscheidend zu beschleunigen und somit die Nachhaltigkeitsziele zu erreichen.
Schriftenreihe
13/2024
G. Leimüller, J. Rohrhofer, A. Gerger, Ch. Schranz, M. Aichholzer, M. Schachenhofer, C. Benes, F. Ozclon
Herausgeber: BMK
Deutsch, 71 Seiten
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Metadaten und Prozessmodelle für Open BIM in der TGA
Ziel dieses Projektes ist es, eine Methodik für die Entwicklung von Daten- und Prozessmodellen zu konzipieren und diese zur Modellierung ausgewählter TGA (Technische Gebäudeausrüstung)-Systeme exemplarisch anzuwenden. Dazu werden schwerpunktmäßig, jedoch nicht ausschließlich, die erneuerbaren Heizungstechnologien Wärmepumpe, Solarthermie und Biomasse sowie Lüftungssysteme betrachtet. Die entwickelten Daten- und Prozessmodelle werden im Rahmen von zwei Pilotprojekten evaluiert. Die Projektergebnisse werden in einem TGA-BIM-Leitfaden publiziert und in BIM-Arbeitsgruppen in relevanten Gremien eingebracht.
Schriftenreihe
37/2021
J. Murschetz, M. Monsberger, S. Hauer, C. Urschler, M. Ziegler, G. Brandauer, H. Asmera, C. Eichler
Herausgeber: BMK
Deutsch, 48 Seiten
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Digitale Technologien
Digitale Technologien für die optimale Nutzung erneuerbarer Energiequellen.
energy innovation austria
1/2022
Herausgeber: BMK und Klima- und Energiefonds
Deutsch, 12 Seiten
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Vitality City - Holistic energy strategies for cities in transition
Energy simulation of any size city (municipalities) based on the data from laser scanning and satellite analysis (Geodata) to obtain dynamical energy demands and available energy resources.
Circular Bio Floor- Floor construction made from biomaterials
In this project biogenic building materials from wood industry waste and geopolymer binders are developed that can be used as tamped fill or 3D-printed dry-screed elements in timber construction. These materials offer functional benefits and an excellent eco-balance, contribute to the conservation of forests and enable the production of separable and reusable floor segment panels using digital manufacturing technologies. That significantly reduces the consumption of primary raw materials.
BATTMON - Increasing the usable charging capacity, service life and safety of battery storage systems in urban areas
The aim of BATTMON is to develop an improved method of determining the condition of battery storage systems for applications in buildings and neighborhoods. To this end, area-based foil sensors are being developed for the spatially resolved measurement of temperature and pressure. This data will be used to estimate the state of charge and also the state of health more accurately and to detect cell damage at an early stage in order to reduce the risk of fire and explosion.
m-hub - a web-based data hub for collection and query of material compositions of the building stock of the City of Vienna
The project creates a web-based platform with which the material composition of buildings within the city of Vienna can be entered and queried. In the background, a prediction model based on artificial intelligence is trained to make forecasts for buildings that have not yet been cataloged.
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.
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.
Urban Sky - Satellite-based planning and analysis applications for climate-neutral and resilient cities
The project investigates how satellite data can support cities and municipalities (e.g. urban development, spatial energy planning, mobility transition). Based on demand and potential analyses, service concepts will be derived that integrate existing data and tools with satellite applications. The results will be presented in a study and a Space4Cities implementation roadmap.
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.
Autology - the automated ontology generator
Ontologies form the basis for the acquisition, analysis/processing, utilization, documentation, and archiving of building and component data throughout all stages of the lifecycle. Currently, the semantic description and structuring of data can only be achieved with significant manual effort. At this point, the Autology project utilizes Artificial Intelligence. The overarching project objective is the automated extraction and generation of metadata for the creation of ontologies from the building automation system, employing innovative AI-based approaches.
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.
sustAIn4Build - AI competence for sustainable building management in climate neutral cities
The objective of the project sustAIn4Build is to increase energy efficiency and sustainability in the building sector by using artificial intelligence (AI). Industry-specific training programs support Austrian companies to develop a workflow for integrating AI technologies into their processes, enabling them to develop resource-saving, cost-effective and sustainable solutions. This strengthens their competitiveness and contributes to the achievement of European decarbonisation goals.
DataScience4SmartQuarters - Energy saving potentials through neighbourhood and community planning – Part 2
DataScience4SmartQuarters develops and researches an innovative method for the fast and efficient evaluation of simulation scenarios (building/energy, mobility) for communities.
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.
Digital technologies
Digital technologies in order to make the most out of renewable energy sources.
energy innovation austria
1/2022
Herausgeber: BMK in cooperation with the Climate and Energy Fund
Englisch, 12 Seiten
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BIMpeco - Environmentally relevant product data in collaborative BIM environments
Construction products can pose a risk to the environment and health due to their pollutant content or releases. In the BIMpeco project, workflows and data structures for digital information management of this environmentally relevant product data are developed. For this purpose, the new ISO standards ISO 23387 and ISO 19650-1 are tested and synchronized with established process flows. The project results will be made available on an open-source basis and can be integrated into any Common Data Environment (CDE) that complies with the standards mentioned. The BIMpeco project is the first to lay the foundations for product information management of environmentally relevant properties in the CDE, covering the entire lifecycle and supply chain.