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Fostering renewable energy provision from manure in Germany – Where to implement GHG emission reduction incentives

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  • Oehmichen, Katja
  • Thrän, Daniela

Abstract

Livestock production makes up a major share of agriculture sector and the manure it produces significantly contributes to greenhouse gas emissions. One option to lower these emissions significantly is using the manure to produce biogas which is used to generate power. Our model calculations show, that per kWh power from manure-based biogas –about 1.448kg of CO2 eq. of greenhouse gas (GHG) emission can be avoided due to the improved manure management and the substitution of electricity from the grid under actual German conditions. This form of utilization is supported under the German Renewable Energy Act; however, only the minor share of the manure is processed so far. Thus the question arises as to whether instruments in agricultural policy or instruments in energy policy are better to unlock this remaining potential. The elaborated allocation shows, that both sectors cause a comparable amount of GHG emissions reductions, at around 50% each. However, based on expected developments, the relevance of agriculture-related emissions is slated to increase. This leads to the conclusion that implementing instruments in both agricultural and energy policies would make sense.

Suggested Citation

  • Oehmichen, Katja & Thrän, Daniela, 2017. "Fostering renewable energy provision from manure in Germany – Where to implement GHG emission reduction incentives," Energy Policy, Elsevier, vol. 110(C), pages 471-477.
  • Handle: RePEc:eee:enepol:v:110:y:2017:i:c:p:471-477
    DOI: 10.1016/j.enpol.2017.08.014
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    References listed on IDEAS

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    1. Vetter, Armin & Arnold, Karin, 2010. "Klima- und Umwelteffekte von Biomethan: Anlagentechnik und Substratauswahl," Wuppertal Papers 182, Wuppertal Institute for Climate, Environment and Energy.
    2. Horschig, Thomas & Adams, Paul W.R. & Röder, Mirjam & Thornley, Patricia & Thrän, Daniela, 2016. "Reasonable potential for GHG savings by anaerobic biomethane in Germany and UK derived from economic and ecological analyses," Applied Energy, Elsevier, vol. 184(C), pages 840-852.
    3. Mattes Scheftelowitz & Daniela Thrän, 2016. "Unlocking the Energy Potential of Manure—An Assessment of the Biogas Production Potential at the Farm Level in Germany," Agriculture, MDPI, vol. 6(2), pages 1-13, April.
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    Cited by:

    1. Markus Lauer & Daniela Thrän, 2018. "Flexible Biogas in Future Energy Systems—Sleeping Beauty for a Cheaper Power Generation," Energies, MDPI, vol. 11(4), pages 1-24, March.
    2. Katja Oehmichen & Stefan Majer & Daniela Thrän, 2021. "Biomethane from Manure, Agricultural Residues and Biowaste—GHG Mitigation Potential from Residue-Based Biomethane in the European Transport Sector," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    3. Jakub Mazurkiewicz, 2023. "The Impact of Manure Use for Energy Purposes on the Economic Balance of a Dairy Farm," Energies, MDPI, vol. 16(18), pages 1-22, September.
    4. Susanne Theuerl & Christiane Herrmann & Monika Heiermann & Philipp Grundmann & Niels Landwehr & Ulrich Kreidenweis & Annette Prochnow, 2019. "The Future Agricultural Biogas Plant in Germany: A Vision," Energies, MDPI, vol. 12(3), pages 1-32, January.
    5. Lauer, Markus & Leprich, Uwe & Thrän, Daniela, 2020. "Economic assessment of flexible power generation from biogas plants in Germany's future electricity system," Renewable Energy, Elsevier, vol. 146(C), pages 1471-1485.
    6. Hossein Beidaghy Dizaji & Thomas Zeng & Volker Lenz & Dirk Enke, 2022. "Valorization of Residues from Energy Conversion of Biomass for Advanced and Sustainable Material Applications," Sustainability, MDPI, vol. 14(9), pages 1-5, April.
    7. Wei En Tan & Peng Yen Liew & Lian See Tan & Kok Sin Woon & Nor Erniza Mohammad Rozali & Wai Shin Ho & Jamian NorRuwaida, 2022. "Life Cycle Assessment and Techno-Economic Analysis for Anaerobic Digestion as Cow Manure Management System," Energies, MDPI, vol. 15(24), pages 1-16, December.
    8. He, Ke & Ye, Lihong & Li, Fanlue & Chang, Huayi & Wang, Anbang & Luo, Sixuan & Zhang, Junbiao, 2022. "Using cognition and risk to explain the intention-behavior gap on bioenergy production: Based on machine learning logistic regression method," Energy Economics, Elsevier, vol. 108(C).
    9. Lauer, Markus & Hansen, Jason K. & Lamers, Patrick & Thrän, Daniela, 2018. "Making money from waste: The economic viability of producing biogas and biomethane in the Idaho dairy industry," Applied Energy, Elsevier, vol. 222(C), pages 621-636.

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