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Auflistung nach Autor:in "Biberacher, Markus"

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  • Konferenzbeitrag
    Effizienzsteigerung durch Optimierung von Wirtschaftsdüngertransporten: Möglichkeiten einer modellbasierten Analyse
    (Qualität und Effizienz durch informationsgestützte Landwirtschaft, Fokus: Moderne Weinwirtschaft, 2011) Warnecke, Sylvia; Bronsema, Hauke; Biberacher, Markus; Brauckmann, Hans-Jörg; Broll, Gabriele; Theuvsen, Ludwig
    Die zunehmende Spezialisierung in der Landwirtschaft resultiert häufig in regional entkoppelten Nährstoffströmen. Ackerbauregionen mit einem hohen Bedarf an Pflanzennährstoffen liegen weit entfernt von Veredelungsregionen mit einem hohen Anfall an in tierischen Exkrementen enthaltenen Nährstoffen. Ein neu entwickeltes Modell dient zum einen der Identifizierung von Nährstoffüberschussund Bedarfsregionen. Zum anderen simuliert das Modell die optimalen Transporte von Wirtschaftsdüngern auf Grundlage der Nährstoffkonzentration in den verschiedenen Wirtschaftsdüngern und der Distanz zwischen Überschussund Be- darfsregionen. Eine Modellerweiterung wird die Aufnahmebereitschaft von Wirtschaftsdüngern, die beispielsweise aufgrund von Viehund Biogasanlagendichte räumlich unterschiedlich ist, in Form ökonomischer Parameter integrieren und somit eine Verbesserung der Realitätsnähe der Transportoptimierung bewirken.
  • Konferenzbeitrag
    EnerGEO biomass pilot
    (Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Tum, Markus; Günther, Kurt P; McCallum, Ian; Balkovic, Jurai; Khabarov, Nikolay; Kindermann, Georg; Leduc, Sylvan; Biberacher, Markus
    In the framework of the EU FP7 project EnerGEO (Earth Observation for Monitoring and Assessment of the Environmental Impact of Energy Use) sustainable energy potentials for forest and agricultural areas were estimated by applying three different model approaches. Firstly, the Biosphere Energy Transfer Hydrology (BETHY/DLR) model was applied to assess agricultural and forest biomass increases on a regional scale with the extension to grassland. Secondly, the EPIC (Environmental Policy Integrated Climate) a cropping systems simulation model was used to estimate grain yields on a global scale and thirdly the Global Forest Model (G4M) was used to estimate global woody biomass harvests and stock. The general objective of the biomass pilot is to implement the observational capacity for using biomass as an important current and future energy resource. The scope of this work was to generate biomass energy potentials for locations on the globe and to validate these data. Therefore, the biomass pilot was focused to use historical and actual remote sensing data as input data for the models. For validation purposes, forest biomass maps for 1987 and 2002 for Germany (Bundeswaldinventur (BWI-2)) and 2001 and 2008 for Austria (Austrian Forest Inventory (AFI)) were prepared as reference. The output of BETHY/DLR, EPIC and G4M was used as input for the energy scenario-models REMIX (Renewable Energy Mix for Sustainable Electricity Supply in Europe, developed and operated by DLR-TT) , TASES (Time And Space resloved Energy Simulation, developed and operated by Research-Studio, Salzburg) and BeWhere (a techno-economic model developed by IIASA and Lud university and operated by IIASA). The EPIC modelling results for agricultural areas are input to TASES and REMIX. G4M also provided input data for TASES on a global scale starting with the year 2000 and ending in 2050 with 10 years steps. The main conclusions from the Biomass Pilot are: 1) It is possible to calculate biomass energy potentials for wood and agricultural crops by applying BETHY/DLR, EPIC or G4M models for Europe (1x1 km2) and the globe (0.5 x 0.5 ). 2) The outcomes of biomass energy models are sensitive to input data by 40% or more. This is a consequence of biological sensitiveness to factors that determine growth such as weather, soil, species and cultivation. Collecting more and better input data is therefore essential. 3) Intensive effort was put on validation activities for all three models as well as a model intercomparison. For agricultural and forested areas all models showed significant linear relationship with reference data (R2 up to 0.95). 4) Remote sensing data can be used for generating some input data for biomass potential modelling such as weather and land use data 5) Remote sensing data have to be further developed before a differentiation can be made between different species and crops or biomass stacks can be modelled.
  • Konferenzbeitrag
    Global Energy System Modelling linked to spatial data with focus on renewable energy resources – a case study
    (Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Biberacher, Markus; Gadocha, Sabine; van Vliet, Oscar
    The paper presents an approach that bridges the gap between the consideration of spatial correlations in future energy systems and common energy system modelling approaches with a focus on forecasting the entire energy system. Therefore the energy system model TASES (Time And Space resolved Energy Simulation) has been developed in order to tackle best all relevant geographical correlations in energy systems. Especially renewable energy sources are often location dependent and highly intermittent The model is a snap shot model focusing on one year, including seasonal and day/night variations among the region of interest. It outlines the optimal energy system setup in terms of locations for PV, wind turbines or biomass power plants also with respect on an optimal transmission grid as part of the entire system. Remote sensing data are used to derive spatial indicators which are utilized as geographic discrete parameters in the TASES model. Scope of the outlined model framework is the analysis especially of the impact triggered by spatially varying system parameters on the entire energy system. This is particularly relevant with considering renewable energy resources. That gives the opportunity to study spatial infrastructure setups of the energy system with respect to single locations. A first case study linked to a MESSAGE long-term model run is elaborated and discussed.
  • Konferenzbeitrag
    Integrated energy spatial planning: “spatializing” policy decision support
    (Proceedings of the European conference TOWARDS eENVIRONMENT, 2009) Blaschke, Thomas; Biberacher, Markus; Gadocha, Sabine; Schardinger, Ingrid; Prinz, Thomas
  • Konferenzbeitrag
    The GEOSS - ENERGEO portal: towards an interactive platform to calculate, forcast and monitor the environmental impact of ernergy carriers
    (Integration of Environmental Information in Europe, 2010) Blaschke, Thomas; Mittlböck, Manfred; Biberacher, Markus; Gadocher, Sabine; Vockner, Bernhard; Hochwimmer, Barbara; Lang, Stefan
    The EU FP7 project ENERGEO is the official EU contribution to the worldwide Global Earth Observation System of Systems (GEOSS) and develops a strategy for a global assessment of the current and future impact of the exploitation of energy resources on the environment. It contributes to the GEO-tasks EN-07-02 and EN-07-03. In this four years project, a global observation strategy will be developed until mid 2013 to appropriately assess the impacts of the current and future transitions in energy-use on the environment by a combination of existing models, existing global datasets from which environmental indicators as well as existing and currently developed models capable of assessing and forecasting environmental impacts and costs of energy exploitation. This paper focuses on developing a distributed system following the GEOSS architecture recommendations. Standardized interfaces for information access (OGC/ISO Web-Map-Service, Web Feature Service and Web Coverage Service) and OGC web processing are utilized for the specific needs of stakeholders which will be incorporated through the GEOSS ‘Energy Community of Practice’.