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TWIN - Digital twins for sustainable buildings
Digital building twins have hardly been used in practice due to an often unfavourable cost-benefit ratio. The aim of the TWIN project is to bring together use cases of digital building twins with a high ecological and economic impact in order to prepare application scenarios with great implementation potential.
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.
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.
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.
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.
SmartControl - Standardized and smart control of municipal energy systems
The aim of the project is to develop a standardized and easy-to-implement procedure for communication, monitoring and control of decentralized technologies within municipal energy communities. Therefore, innovative interfaces and self-learning algorithms will be developed, which will ensure that the concept can be transferred to municipalities or neighborhoods without a great deal of data and measurement effort.
Ice-storage NEW - New economical ice storage concept for optimized heat storage using heat pumps and peak use of wind power
Development of a technically and economically optimized new ice-storage concept as a thermal wind power peak storage and to improve the performance of heat pumps as a contribution for peak smoothing of the electrical load profile.
Urban cooling demand in Austria 2030/2050 (UKÖ 2030/2050)
Systematic processing of the increasing cooling demand and presentation of the geographical location of the cooling demand in Austria. The result serves as a decision-making aid for the development of climate protection measures and climate change adaptation strategies as well as an estimate of future cooling demand.
SmartQ+ Bruck/Leitha - Energy saving potentials through neighbourhood and community planning
First-time linking of transport and energy simulation models for municipal planning in order to visualise (energy) saving potentials in settlement development and effects of planning projects on mobility demand and the energy network of a municipality in an interactive visualisation.
# EEG+ digital energy communities
The project addressed issues related to plus-energy neighborhoods and energy communities, both of which aim to make buildings more sustainable. The aim was to explore synergy effects and to research a possible implementation as a demonstration.
HotCity - Gamification as a possibility to generate data for energy-oriented neighbourhood planning
The aim of the project was a functional test to determine whether an up-to-date data set of energy-oriented data can be collected for neighbourhood planning through gamification, cost-efficiently, quickly and reliably. This had been determined using the example of the potential determination of industrial and commercial waste heat sources in Vienna and Graz.
OptiMAS - Optimization of building energy efficiency through model-based energy flow analysis with non-invasive sensors
Using a model-based energy flow analysis supported by non-invasive sensor technologies OptiMAS investigated how to monitor, analyze and optimize existing buildings independent of the installed HVAC systems and automation components. With the OptiMAS approach the optimization potential of individual buildings up to entire areas can be detected, located and tapped by adjustment of system parameters to ensure highest energy and resource efficiency.
FEELings - User Feedback for Energy Efficiency in Buildings
User behavior is a key factor for the energy consumption and the actual energetic performance of a building. A new type of user feedback system will be investigated in this research project. Users provide feedback on the sensed room quality. The data obtained by the feedback system are used to optimize settings of building services in order to improve the energy efficiency and the comfort in the building. A basic proof of concept of this system will be undertaken by means of two use cases.
baubehoerde.at - Development of a Vision 2030 for a Digital Building Authority and Recommendations for Action in Austria
In Austria, planning permission applications are submitted and managed largely manually. The aims of the baubehoerde.at project are to evaluate the potential and limitations of digitizing building approval processes and to create a Vision 2030 strategy for a digital building authority.
ÖKO-OPT-AKTIV - Optimised control and operating behaviour of thermally activated buildings in future urban districts
Development and simulation of scalable, distributed control strategies for the use of the storage effect of thermally activated components in buildings of future city districts for their energy supply by an energy centre.
ÖKO-OPT-QUART - Economically optimized control and operating mode of complex energy networks of future city districts
In the project ÖKO-OPT-QUART energy-based, economic and control-orientated models will be developed in order to simulate the operating mode of complex, sustainable energy networks in city districts. For an exemplary configuration these models will be combined to an overall model which allows a realistic economic comparison of different control strategies. The final goal of the project is the development of a method for the systematic design of cost-optimized, predictive control strategies for complex energy networks in city districts.
digiactiv - digital transformation for more interactivity in MEP-(mechanical, electrical and plumbing-)planning
The aim of the digiactiv project was to improve the interoperability between the different stakeholders in the building construction sector using open and neutral semantic data models. With digital transformation processes, digiactiv helps to increase the quality of planning and the operation of buildings, as well as to minimize the interface risk between various stakeholders.
CHALLENGE - Highly efficient use of hot gas and waste heat in air/water heat pumps for plus-energy buildings and quarters
CHALLENGE aims to further develop the system concept for air-to-water heat pumps in such a way that they can be used efficiently and without the above mentioned negative effects in densely built-up urban areas. In concrete terms, validated simulations and a functional model of the overall system on a laboratory scale are to be used to demonstrate that the concept can save 10% of electrical energy, reduce the noise of outdoor units in summer to a minimum and prevent the formation of local heat islands.