There are 10 results.
Inner-alpine regions are rich in the natural resources water, sun, wind and biomass. This study investigates how the Murau region can become a stable and fail-safe, renewable 100% region and how it is possible to supply the energy-hungry conurbations as a needs-based energy export region.
Based on the results of the exploratory study project REC-Businesspark, a demonstrator for a "renewable energy community business park" is to be developed in Weiz. The focus is on the development of innovative operating and tariff models for a redox flow storage system that is integrated into a renewable energy community.
Sustainable energy supply solutions for existing quarters and industry had been surveyed holistically and cross-sectorally in a small-structured area, consequently pilot projects had been elaborated with the aim to build up a climate-neutral region.
KLIMUR: climate-resilient urban resource management for the case study of Zukunftshof and Rothneusiedl
For the concept of the Zukunftshof, an innovative urban agriculture area, development scenarios for an integrated energy and resource cycle system are to be developed using optimisation tools and parametric design studies. A roadmap consisting of technical concepts and a coordinated financing strategy will provide the basis for a demo project that demonstrates in practice how the Zukunftshof can be the starting point and basis for resource-efficient and climate-resilient urban development.
LOW TECH innovation-lab - real laboratory for the transformation to climate and resource-saving energy regions with innovative LOW TECH solutions
LOW TECH innovation-lab aims to set up an innovation laboratory in which innovative model solutions are developed, tested and widely rolled out in cooperation with suitable pilot regions on the basis of an optimized approach with regard to the use of technology on the one hand and the potential of the circular economy, local environmental resources and social innovations on the other.
REGOreal - 100% Renewable Energy Region: Local Energy Common Good Economy in real laboratories for networked energy and mobility cells
In REGOreal, the exploration for a 100% renewable energy region in the area of Retz-Horn-Krems-Tulln (Lower Austria) and Mallnitz (Ktn) is taking place. There are four focus topics: 100 Renewable Energy Communities (REC), 1.000 building renovations, 10.000 energy exporters (in the sense of employees who carry the approach into their private environment) and 100 Mio. km of sustainable mobility with extensive use of IT for the development of local integrated energy systems (IES) to integrate a colorful mix of different actors and objects.
In the REal project, a holistic, scalable and user-friendly concept is 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.
Clarification of relevant questions for the potential establishment of a real lab in the region of Weizplus, which aims at a 100% supply of the region with renewable energies by 2030. The content-related technological focus of the activities of the future real lab is on all energy-relevant sectors (heating, electricity, cooling) applied to the focal points of energy efficiency and replacement of fossil energy in buildings, in trade and industry as well as mobility.
TANZ - Exploration of a regional living lab: Tourism as an opportunity for the energy transition in Pinzgau
Exploration for a regional living lab to accelerate Austria's climate neutrality in 2040 in the tourism region of Pinzgau. Based on numerous preliminary works, model solutions (“Realtests”) for the innovation fields of sector coupling, energy communities and sustainable heating solutions were designed, the organisational structure of the living lab is developed and stakeholders were actively involved.
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).