There are 51 results.
EnergyCityConcepts - Methods and concepts for the implementation of sustainable energy systems in cities
Two concrete model regions (small city Gleisdorf and urban city quarter Salzburg-Schallmoos) will be developed and tested using new methodical approaches (interdisciplinary urban and regional energy planning, modeling and simulation). Therefore, it is aimed to substantiate scenarios and concepts for the implementation of defined targets on technical, ecological and economic criteria.
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.
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.
GameOpSys - Gamification for optimizing the energy consumption of buildings and higher-level systems
The central goal is the development of a mobile application that enables the energy optimization and planning of buildings, neighborhoods and higher-level energy systems through the participation of the user and the user as a new source of data and information. The development of the application is strongly transdisciplinary and integrates mathematical methods of simulation and optimization as well as psychological aspects of user behavior in order to develop new business models and open up new markets.
Adaption of the calculation models in the energy certificate in such a way that the greening of buildings can be depicted as realistically as possible and assessment of the acceptance of implementation by relevant stakeholders.
The aim of the project is 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 will be determined using the example of the potential determination of industrial and commercial waste heat sources in Vienna and Graz.
HOTSPOTS enables new insights and perspectives for city development. According to the project idea innovations in acquisition and sensing as well as densification of geo-referenced city related data are supplemented by novel processing chains in city data analytics. Driven by an integrated scientific approach we develop a novel method in the selection, evaluation and prioritization of infrastructural city development measures which is directly derived from sensed data hence reducing the risk of ad-hoc decisions or lack in impact.
Development and coordination of indicators for energy and ecological evaluations of urban areas based on the Swiss 2000-Watt certification system. The results will be used for the development of a quality assurance system for urban areas similar to the klimaaktiv declaration for buildings and the e5 certification for communities.
Cities are the place where decarbonization strategies for energy, transport and buildings intersect. A few years ago, the municipality of Innsbruck set up a Smart City Group consisting of staff from the municipality, IIG, IKB and IVB to address this challenge. The goal of INN'F4UM is to develop a step-by-step plan to achieve climate neutrality for the city by 2030, building on an up-to-date representation of energy and resource flows together with the University of Innsbruck.
The Innovation Lab act4energy is set up as an innovation laboratory project. Its focus is to solve the problems of renewable energies integration with a focus on photovoltaic power paired with local consumption, linked to the the high fluctuation of renewable energies.
The goal of the project is to link 3D city models and virtual reality for energy-relevant applications as key-enabler for digital planning, construction and operational management. Missing data will be calculated using statistical enrichment methods.
lowTEMP4districtheat - Reduction of the system parameters of heating networks for the integration of renewable heat sources using soft sensors
Analysis of the use of soft sensors in addition to selective real measurements for the complete recording of real-time parameters of heating networks. The data obtained enable detailed grid simulations with low computing power requirements and form the basis of a strategy for lowering the grid temperatures and feeding in decentrally generated heat.
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.
Based on the results of the national-funded exploratory projects called “Smart Exergy Leoben”, and “Energy Sponge Bruck”, the present implementation project aims at analysing how local, renewable resources support the supply of electric mobility in Leoben in the long term and to integrate it into the municipal distribution grid in a good economic sense.
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.
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.
The project deals with applications optimizing the self-consumption of PV-generated energy within urban quarters by enabling peer-to-peer relations among energy prosumers based on blockchain technology. The aim is to develop and validate these applications in the field being used by consumers.
Piezo-Klett: Development of piezoelectric hook-and-loop application for the energy supply of active sensor technology in the building industry
The present project considers buildings, parts of buildings and their joints (component nodes) as energy generators by using the hook-and-loop fastener in combination with the piezoelectric effect to perform a so-called energy harvesting.
SmallWindPower@Home - Impact assessment of building-mounted small wind turbines on performance, people, building and environment
Within the project SmallWindPower@Home the impact of complex obstacles on the local flow pattern as well as on the inflow and the performance of different building-mounted small wind turbines (SWT) will be evaluated. Furthermore the effects of these building-mounted SWT on the building, the resident people and the direct environment will be analysed.
A specially developed simulation model is employed to ascertain the energetic potential of adaptive façade systems. The dynamic behavior of the physical properties of the adaptive façade system reacts to both internal and external changing conditions. The goal was the development of an adaptive façade, which helps provide maximum comfort for the building occupants with minimum energy consumption.