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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.
Beyond - Virtual Reality enabled energy services for smart energy systems
The Beyond project addressed two different energy services through the interaction of various technologies: state-of-the-art virtual reality (VR), the Internet of Things (IoT), energy simulation and machine learning (ML). Energy service 1 immerses VR users in energy-efficient and sustainable building design through an educational VR game, while energy service 2 improves the maintenance of building systems, particularly heating, ventilation and air conditioning (HVAC) systems, through the application of ML models for predictive maintenance.
VITALITY District - Optimized energy concepts in the early planning phase of resilient, energy-efficient neighbourhoods
The aim of the VITALITY District project is to coordinate the total (electrical and thermal) load and generation profile in the design phase of urban areas and neighbourhoods in order to optimize the energy concept of energy-efficient districts. Hence smart city indicators in detailed level (buildings, individual technologies, public spaces) as well as models, principles and catalogs of criteria for energy-optimized urban neighbourhoods were created. The results were presented in compact form on the district level in order to serve as input for future urban planning projects.
Vilipa - Visible light based Person and Group Detection in existing buildings
Zur Reduktion des Energieverbrauchs von Gebäuden können Belegungserkennungssysteme einen großen Beitrag leisten. Dieses Projekt zeigt die Machbarkeit des Erkennens von Personen anhand der Reflexion von sichtbarem Licht, hervorgerufen durch die Person selbst, demonstriert, wobei die bestehende Beleuchtungsinfrastruktur zur Personenerkennung ohne Datenschutzbedenken eingesetzt werden kann. Der realisierte Ansatz ist sowohl kostengünstig als auch unaufwändig hinsichtlich der Installationskosten.
KityVR - Artificial intelligence techniques to implement CityGML models and VR visualization
The KityVR project deals with key research aspects at the interface between 3D city models and virtual reality. It addresses questions such as how virtual reality can be used for visualization in the field of 3D city models and how machine learning and statistical methods can be used to enrich or complete energy-related data sets.
Reallabor 100% renewable energy Waldviertel
Under the motto "Always one step ahead", the aim is to develop a content-related and economic implementation concept for a "Reallabor 100% erneuerbare Energie Waldviertel".
REal - The laboratory for Integrated Regional Renewable Energy Systems
In the REal project, a holistic, scalable and user-friendly concept was created, whereby sector-coupled, municipal energy systems with 100% renewable energy can be implemented, considering all necessary aspects from planning to operation, reducing design costs and accelerating an Austria-wide implementation.
ExTra - ExergyTrafos for heating and air conditioning through district heating
As a contribution to the reduction of CO2 emissions, the project aims at upgrading existing heating networks by adding new devices, so-called exergy trafos, to the heat-exchanging transfer stations. These are driven by district heat and provide heating and cooling, as well as a reduced return temperature, as a service.
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.
MURREAL: Murtaler Reallabor - On the way to 100% renewable energy by 2040
MURREAL connects the actors of the industrial region Murtal with specialists in the field of high tech and materials with the raw material and energy sector, service providers and research and development. In this exploration for a real laboratory, synergies had been worked out and business models had been built up to consistently take the path towards 100% renewable energy and climate neutrality by 2040.
GLASGrün - Regulation of climate, energy demand and comfort in GLASS buildings through structurally integrated vertical GREEN
Development of vertical vegetation systems for summergreen shading of glass facades of food retail and commercial areas. GLASGrün generates quantitative data on energy and microclimate balance and qualitative data on user perception. The results are guidelines for scalable and transferable constructive solutions with maintenance and management plans.
GreenDeal4Real - Improving the thermal comfort in mixed-use areas through cost-effective green infrastructure
In Vienna's 22nd district, a mixed-use construction project was used as an experimental space to simulate the effects of green structures and analyse their implementation in a real planning environment. The simulations, the planning laboratory and close cooperation with the developer made it possible to take microclimatic effects into account as early as the planning stage and to optimally compensate for the negative effects of additional sealing through greening.
Fit4Klim - Fit durch Bildung fürs Klima
Ziel des Projektes ist die Entwicklung und Erprobung maßgeschneiderter Schulungsangebote zur Qualifizierung von Städten und Gemeinden in den Bereichen Klimawandelanpassung und Klimaschutz, Raumplanung, Green Finance, Energie und Mobilität.
sustAIn4Build – KI-Kompetenz für nachhaltiges Gebäudemanagement in klimaneutralen Städten
Das Projekt sustAIn4Build zielt darauf ab, die Energieeffizienz und Nachhaltigkeit im Gebäudetechniksektor durch den gezielten Einsatz von Künstlicher Intelligenz (KI) zu steigern. Durch branchenspezifische Weiterbildungsmaßnahmen werden österreichische Unternehmen befähigt, KI-Technologien effektiv in ihre Prozesse zu integrieren, um ressourcenschonende, kosteneffiziente und nachhaltige Lösungen zu entwickeln. Dies stärkt deren Wettbewerbsfähigkeit und trägt zur Erreichung der europäischen Dekarbonisierungsziele bei.
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.
Fit4Klim - Fit through education for the climate
The aim of the project is to develop and test customised training courses to qualify cities and municipalities in the areas of climate change adaptation and climate protection, spatial planning, green finance, energy and mobility.
Flucco+ - Flexibler NutzerInnenkomfort in viertelstündlich CO2-neutralen Plusenergiequartieren
Ziel des Projekts ist die Verbesserung der Planungsgrundlagen für die Errichtung und den Betrieb energieflexibler Bestands- und Neubauten in drei konkreten Bereichen. Erstens der Weiterentwicklung bestehender Modelle thermischen Komforts für dynamische Situationen, zweitens der Quantifizierung zukünftiger Netzdienlichkeit und drittens der holistischen Erprobung des entwickelten Komfort- und CO2-Modells an drei potentiellen Plusenergiequartieren unter Berücksichtigung der Ökobilanz sowie der Lebenszykluskosten.
Flucco+ - Flexible user comfort in quarter-hourly CO2-neutral Positive Energy Districts (PED)
The aim of the project is to improve the planning basis for the construction and operation of energy flexible buildings in three specific areas. First the further development of existing models of thermal comfort for dynamic situations, second the quantification of future energy grid usefulness and third the holistic testing of the developed comfort and CO2 model at three potential positive energy districts (PED), taking into account the ecological assessment as well as the life cycle costs.
Flucco+ - Flexibler NutzerInnenkomfort in viertelstündlich CO2-neutralen Plusenergiequartieren
Ziel des Projekts ist die Verbesserung der Planungsgrundlagen für die Errichtung und den Betrieb energieflexibler Bestands- und Neubauten in drei konkreten Bereichen. Erstens der Weiterentwicklung bestehender Modelle thermischen Komforts für dynamische Situationen, zweitens der Quantifizierung zukünftiger Netzdienlichkeit und drittens der holistischen Erprobung des entwickelten Komfort- und CO2-Modells an drei potentiellen Plusenergiequartieren unter Berücksichtigung der Ökobilanz sowie der Lebenszykluskosten.
Series
81/2025
T. Zelger, S. Schneider, B. Lipp, D. Bell, M. Schindler, M. Tabakovic, E. Kerschbaum, U. Muñoz-Czerny, V. Huemer-Kals
Publisher: BMIMI
German, 308 pages
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SmartControl - Standardisierte und smarte Steuerung von kommunalen Energiesystemen
Das Ziel ist die Entwicklung eines standardisierten und einfach implementierbaren Verfahrens für die Kommunikation, Überwachung und Steuerung von dezentralen Technologien innerhalb von kommunalen Energiegemeinschaften. Dazu werden innovative Schnittstellen und selbstlernende Algorithmen entwickelt, welche sicherstellen, dass das Konzept auf Kommunen bzw. Quartiere - ohne großen Daten- und Messaufwand - übertragen werden kann.