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A Method for Assessing Regional Bioenergy Potentials Based on GIS Data and a Dynamic Yield Simulation Model

Author

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  • Keyu Bao

    (Center for Sustainable Energy Technology, Hochschule für Technik Stuttgart, Schellingstraße 24, D-70174 Stuttgart, Germany)

  • Rushikesh Padsala

    (Center for Geodesy and Geoinformatics, Hochschule für Technik Stuttgart, Schellingstraße 24, D-70174 Stuttgart, Germany)

  • Volker Coors

    (Center for Geodesy and Geoinformatics, Hochschule für Technik Stuttgart, Schellingstraße 24, D-70174 Stuttgart, Germany)

  • Daniela Thrän

    (Department of Bioenergy, Helmholz Center for Environmental Research, Torgauer Strasse 116, D-04247 Leipzig, Germany
    Chair of Bioenergy System, Faculty of Economic Sciences, University of Leipzig, Grimmaische Straße 12, D-04109 Leipzig, Germany
    Unit Bioenergy System, Deutsches Biomasseforschungszentrum GmbH, Torgauer Strasse 116, D-04347 Leipzig, Germany)

  • Bastian Schröter

    (Center for Sustainable Energy Technology, Hochschule für Technik Stuttgart, Schellingstraße 24, D-70174 Stuttgart, Germany)

Abstract

The assessment of regional bioenergy potentials from different types of natural land cover is an integral part of simulation tools that aim to assess local renewable energy systems. This work introduces a new workflow, which evaluates regional bioenergy potentials and its impact on water demand based on geographical information system (GIS)-based land use data, satellite maps on local crop types and soil types, and conversion factors from biomass to bioenergy. The actual annual biomass yield of crops is assessed through an automated process considering the factors of local climate, crop type, soil, and irrigation. The crop biomass yields are validated with historic statistical data, with deviation less than 7% in most cases. Additionally, the resulting bioenergy potentials yield between 10.7 and 12.0 GWh/ha compared with 13.3 GWh/ha from other studies. The potential contribution from bioenergy on the energy demand were investigated in the two case studies, representing the agricultural-dominant rural area in North Germany and suburban region in South Germany: Simulation of the future bioenergy potential for 2050 shows only smaller effects from climate change (less than 4%) and irrigation (below 3%), but the potential to cover up to 21% of the transport fuels demand in scenario supporting biodiesel and bioethanol for transportation.

Suggested Citation

  • Keyu Bao & Rushikesh Padsala & Volker Coors & Daniela Thrän & Bastian Schröter, 2020. "A Method for Assessing Regional Bioenergy Potentials Based on GIS Data and a Dynamic Yield Simulation Model," Energies, MDPI, vol. 13(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6488-:d:458751
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    References listed on IDEAS

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    1. Kathleen Meisel & Markus Millinger & Karin Naumann & Franziska Müller-Langer & Stefan Majer & Daniela Thrän, 2020. "Future Renewable Fuel Mixes in Transport in Germany under RED II and Climate Protection Targets," Energies, MDPI, vol. 13(7), pages 1-18, April.
    2. Lozano-García, Diego Fabián & Santibañez-Aguilar, José Ezequiel & Lozano, Francisco J. & Flores-Tlacuahuac, Antonio, 2020. "GIS-based modeling of residual biomass availability for energy and production in Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
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    1. Weiler, Verena & Lust, Daniel & Brennenstuhl, Marcus & Brassel, Kai-Holger & Duminil, Eric & Eicker, Ursula, 2022. "Automatic dimensioning of energy system components for building cluster simulation," Applied Energy, Elsevier, vol. 313(C).
    2. Bao, Keyu & Thrän, Daniela & Schröter, Bastian, 2023. "Land resource allocation between biomass and ground-mounted PV under consideration of the food–water–energy nexus framework at regional scale," Renewable Energy, Elsevier, vol. 203(C), pages 323-333.
    3. Christian R. Parra & Angel D. Ramirez & Luis Manuel Navas-Gracia & David Gonzales & Adriana Correa-Guimaraes, 2023. "Prospects for Bioenergy Development Potential from Dedicated Energy Crops in Ecuador: An Agroecological Zoning Study," Agriculture, MDPI, vol. 13(1), pages 1-25, January.
    4. Annette Steingrube & Keyu Bao & Stefan Wieland & Andrés Lalama & Pithon M. Kabiro & Volker Coors & Bastian Schröter, 2021. "A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model," Resources, MDPI, vol. 10(5), pages 1-19, May.
    5. Edmund Widl & Giorgio Agugiaro & Jan Peters-Anders, 2021. "Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    6. Keyu Bao & Rushikesh Padsala & Volker Coors & Daniela Thrän & Bastian Schröter, 2021. "A GIS-Based Simulation Method for Regional Food Potential and Demand," Land, MDPI, vol. 10(8), pages 1-18, August.

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