Suchergebnisse für "Factsheet: Energietechnologien gestalten, die für alle sinnvoll und nutzbar sind"
EM Städte - Monitoring and evaluation of urban energy flows
In the first phase of the project, the data source of the energy statistics will be analyzed. Based on the findings of the analysis a methodology on build up regional energy balances will be developed. The methodology will be integrated into the Senflusk tool and tested on five reference cities in Austria.
Vilipa - Visible light based Person and Group Detection in existing buildings
Evaluation of the technical and economic feasibility of an occupancy detection system based on the technology of visible light sensing, which, in combination with the building management system, should reduce the energy consumption of buildings. The goal is to implement low-tech/low-complexity solutions that can distinguish between individuals and groups based solely on the detection of visible light reflections.
ENUMIS - Energetic effects of urban manufacturing in the city
The project examines the challenges of urban manufacturing (UM) from the energy perspective and shows opportunities arising from the implementation of UM concepts for the future design of sustainable energy systems for cities.
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.
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.
Beyond - Virtual Reality enabled energy services for smart energy systems
Collaborative R&D project to develop the next generation energy services with the interplay of various technologies: Virtual Reality (VR), machine learning, physical simulation and Internet of Things (IoT) platforms.
mAIntenance - Investigation of AI supported maintenance and energy management
Optimized & reliable operation of Heating, Ventilation and Air Conditioning (HVAC) systems in terms of maintenance and energy management, using predictive, data-based & self-learning error detection. Conceptual design and prototype implementation of an AI (Artificial Intelligence) tool for automated data analysis and recommendations for technical building operators.
SURO - The urban underground as mine? Potential of secondary resources in subsurface infrastructure systems
Feasibility of a resource cadaster to inventorize, characterize and locate material stocks in subsurface infrastructure networks. The results are used for the economic assessment of secondary resource potentials.
CO2-Demobau - Exploration of the feasibility of carbon-neutral model construction sites
By highlighting green innovations, networking with stakeholders in the construction industry and applying the findings of the previous study "CO2 neutrale Baustelle", the foundation is set for future carbon-neutral model construction sites. These construction sites will serve as best-practice examples in the fields of contracting, construction operations organization and technology.
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.
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.
EDEN - Developement of a structured data and preparation documentation with a minimized error-proneness for energy performance cerificates.
Current energy performance certificates hold major flaws. Therefore, the presented research initiative aimed at the development of a standardized and easy-to-use, generic Input-Data-Documentation, which ensures the quality of energy certificates for all involved stakeholders. During the development, the documentation had been conducted and for a chosen sample of representative buildings, which is expected to demonstrate the high potential of such a development.
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.
# EEG+ digital energy communities
The project addresses issues related to plus-energy neighborhoods and energy communities, both of which aim to make buildings more sustainable. The aim is to explore synergy effects and to research a possible implementation as a demonstration.
P2PQ - Peer2Peer im Quartier
The research project Peer2Peer im Quartier deals with applications optimizing the selfconsumption of PV-generated energy within urban quarters by enabling peer-to-peer relations among energy prosumers based on Blockchains. Aim is to develop and validate these applications in real operation.
SonnWende+ Efficient solutions for photovoltaic energy management based on block chain technology
The project deals with the analysis of Blockchain technology in the context of renewable electricity producers and flexibility as enabler for innovative service concepts, tested in the innovation-lab “Energie Innovation Cluster Südburgenland”. The goal is to find new and efficient Blockchain-based solutions for services in energy management and trading in a local level.
NETSE - User orientated development of technologies and services for energy communities
In the NETSE project the basics for the implementation of energy communities are developed. This includes the relevant technical equipment and interfaces, the development of a platform for the operation of an energy community as well as tools for the optimization of the technical setup and the operation of energy communities.
BIMSavesEnergy - BIM-based planning-methods for the assurance of energy-efficiency in the building process
The Building Information Model (BIM) brings about fundamental changes in the planning and construction of buildings, as the common base makes it possible to work closely together across disciplines in construction projects. In this project, BIM-based planning methods were developed, which make the influence of planning decisions on energy efficiency quantifiable and controllable in the management process.
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.
scaleFLEX - Scalable method for optimizing the energy flexibility of districts
Development of a decentrally organized automation method for improving the demand-side flexibility options of buildings and districts. The utilized data-driven algorithm promise high scalability and therefore low installation and operating costs. The developed method will be validated using different building types (high-tech office buildings, low-tech office buildings, residential buildings).