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Research project (§ 26 & § 27)
Duration : 2019-10-01 - 2022-09-30

REgions will enable fluctuating renewable energies (RES) to further support the energy system on several levels: regional, interregional and the European markets. RES, mostly grid connected at lower voltage levels, can help stabilizing the regional grid if intelligently operated. In addition, RES can also contribute to the stability of the higher-level grids, e.g. by intelligently rescheduling their balancing bids in the event of re-dispatch. REgions will analyse how RES can support the stabilisation of the energy system by improving traditional Virtual Power Plants (VPPs) to include also regional and interregional services and further improve the participation on the markets. Therefore, the whole tool-chain of the VPP will be enhanced in REgions as well as the interaction of different VPPs on regional and interregional level: nowcasting of PV, price forecasts (intraday, imbalance, redispatch) as well as the probability of grid accurances (re-dispatch, congestion, voltage, balancing).
Research project (§ 26 & § 27)
Duration : 2019-09-01 - 2021-10-31

LandSTATSeo has two primary objectives. Initially, to further develop the EODC platform to allow user enabled on-boarding. Secondly, to further support and empower Austrian governmental organisations access to EO services to motivate the operational implementation of EO products in their existing workflows. Specifically, the project intends to develop and implement: i) IT solutions for end user-based activation of 24/7 API services, and ii) a suite of statistical information streams on land cover dynamics in Austria, developed with, and for, non-EO experts. The services will be based on: i) Copernicus data sets stored and accessible within the Austrian Data Cube archive hosted by EODC, ii) state-of-the-art deep learning algorithms that will be boosted through variants of a completely new multi-dimensional land cover dynamic index developed by GeoVille and crop growth and yield models and crop stress indicators provided by BOKU, iii) extending the tools implemented at EODC for collaborative cloud computing, and iv) development of a user-friendly, low barrier, interface. LandSTATSeo brings a relatively inexperienced EO user, Statistik Austria (STAT), directly into collaboration with a team comprising of partners with a proven track record of EO R&D and operational service provision. The partnership with STAT will enable real world uses cases. STAT will integrate existing statistical information as well as existing geo data to extract meaningful statistical information and validate the derived information. Furthermore, LandSTATSeo will focus on parameters that contribute to the monitoring of the UN sustainable development goals (SDGs) and therefore support Austria’s reporting and monitoring SDG commitments. The results of the project will be summarized into a road map which: i) reports on EO products and their impact on existing tasks, and ii) recommends on the incorporation of EO data and products into STATs operational and future activities regarding SDG reporting.
Research project (§ 26 & § 27)
Duration : 2019-09-16 - 2021-03-15

Species-specific models for predicting wireworm activity in the upper soil layer and the flight times of adult beetles would be important future elements for the plant protection warning service. It is also of fundamental importance for the optimal use of the measures that farmers have as precise a knowledge as possible of the distribution of the important wireworm pest species in Austria, since the vertical migration movements of the wireworms and the flight times of the adult beetles are species-specific and, for example, preparations with entomopathogenic fungi only work efficiently against certain species. On the basis of field observations and model applications, the wireworm warning system is adapted to practical needs and taught in counselling and adult education.

Supervised Theses and Dissertations