IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i24p6488-d458751.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/24/6488/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/24/6488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Millinger, M. & Reichenberg, L. & Hedenus, F. & Berndes, G. & Zeyen, E. & Brown, T., 2022. "Are biofuel mandates cost-effective? - An analysis of transport fuels and biomass usage to achieve emissions targets in the European energy system," Applied Energy, Elsevier, vol. 326(C).
    2. Joanna Kisielińska & Monika Roman & Piotr Pietrzak & Michał Roman & Katarzyna Łukasiewicz & Elżbieta Kacperska, 2021. "Utilization of Renewable Energy Sources in Road Transport in EU Countries—TOPSIS Results," Energies, MDPI, vol. 14(22), pages 1-18, November.
    3. Králík, T. & Knápek, J. & Vávrová, K. & Outrata, D. & Romportl, D. & Horák, M. & Jandera, J., 2023. "Ecosystem services and economic competitiveness of perennial energy crops in the modelling of biomass potential – A case study of the Czech Republic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. 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.
    5. Jakub Kraciuk & Elżbieta Kacperska & Katarzyna Łukasiewicz & Piotr Pietrzak, 2022. "Innovative Energy Technologies in Road Transport in Selected EU Countries," Energies, MDPI, vol. 15(16), pages 1-18, August.
    6. Knápek, Jaroslav & Králík, Tomáš & Vávrová, Kamila & Weger, Jan, 2020. "Dynamic biomass potential from agricultural land," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Adrián Bautista-Herrera & Francisco Ortiz-Arango & José Álvarez-García, 2021. "Profitability Using Second-Generation Bioethanol in Gasoline Produced in Mexico," Energies, MDPI, vol. 14(8), pages 1-16, April.
    8. Liepold, Constanze & Fabianek, Paul & Madlener, Reinhard, 2023. "Tradable Performance Standards for a Greener Automobile Sector: An Economists’ Appraisal of the German Greenhouse Gas Mitigation Quota," FCN Working Papers 9/2023, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    10. Francesco Latterini & Walter Stefanoni & Alessandro Suardi & Vincenzo Alfano & Simone Bergonzoli & Nadia Palmieri & Luigi Pari, 2020. "A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs," Energies, MDPI, vol. 13(13), pages 1-17, July.
    11. Hassan, Qusay & Nassar, Ahmed K. & Algburi, Sameer & Fouly, Ahmed & Awwad, Emad Mahrous & Jaszczur, Marek & Viktor, Patrik & Amjad, Ayesha & Fakhruldeen, Hassan Falah & Al-Jiboory, Ali Khudhair & Same, 2024. "Evaluation of solar and biomass perspectives using geographic information system - The case of Iraq regions," Renewable Energy, Elsevier, vol. 227(C).
    12. Anca Mehedintu & Georgeta Soava & Mihaela Sterpu & Eugenia Grecu, 2021. "Evolution and Forecasting of the Renewable Energy Consumption in the Frame of Sustainable Development: EU vs. Romania," Sustainability, MDPI, vol. 13(18), pages 1-30, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6488-:d:458751. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.