Suchergebnisse
Diverse DH Pöchlarn - Diversification strategies for a sector-coupled district heating supply in the municipality of Pöchlarn
The project aims to explore the feasibility of maximizing industrial waste heat extraction into the district heating system of the municipality of Pöchlarn so that the defossilization path can be taken further.
ECEE Climate Positivity
The ECEE Climate Positivity project aims to develop a climate-positive, scalable energy concept for commercial buildings. Through the innovative combination of building-integrated photovoltaics, component activation, and intelligent energy management, the project seeks to reduce CO₂ emissions, lower operating costs, and establish new business models for sustainable construction.
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.
V-Form – Manufacturing unreinforced vaulted concrete floors with variable pneumatic formworks
V-Form is working on the development of vaulted concrete floors in terms of structural design and building physics, as well as on a new formwork system. Thanks to the efficient shell construction, around 70% CO2eq-emissions can be saved compared to reinforced concrete flat slabs. The reusable and variable pneumatic formwork system aims to enable the economical production of the double-curved concrete shells.
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.
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.
Topview - Methodology for the efficient use of remote sensing data for climate change adaptation and spatial energy planning
Development of integrated approaches to sustainable energy and heat planning in urban areas by utilising remote sensing data and geo-information-based technologies for decision-making in the planning of energy infrastructures and climate adaptation measures.
fERNkornSAN – decarbonization and renovation with renewable materials of the "Gründerzeit"-building Fernkorngasse 41
Using the example "Gründerzeitgebäude" in Fernkorngasse 41, 1100 Vienna, technical challenges and issues related to phasing out gas and oil as well as adapting to climate change are investigated. A particular focus is placed on the use or resource-efficient and ecological building materials and highly efficient technologies. The results should be the basis for the use for further projects.
FavoriteFlows – Innovative solutions for water and energy cycles in buildings for a climate fit city
Demonstration of detailed planning work and implementation of water cycles (building-integrated constructed wetland wastewater treatment) and energy cycles (wastewater heat exchanger) on a large residential apartment development for climate resilience, resource efficiency and high living standard.
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.
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.
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.
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.
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.