IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v141y2015icp138-148.html
   My bibliography  Save this article

Faba beans for biorefinery feedstock or feed? Greenhouse gas and energy balances of different applications

Author

Listed:
  • Karlsson, Hanna
  • Ahlgren, Serina
  • Strid, Ingrid
  • Hansson, Per-Anders

Abstract

Legumes have been proposed as biorefinery feedstock primarily due to their low nitrogen fertilizer demand, low fossil energy-related greenhouse gas emissions and high protein content, enabling efficient protein feed, food or amino acid production. Grain legumes (pulses) occupy approx. 1.2% of the arable land in Sweden, with faba bean, which is used as a protein feed, being one of the most common. Utilization of the whole crop, including the beans and the remaining aboveground biomass, can enable co-production of feed, food and/or fuel in high quantities, as faba bean has potentially high total biomass yield. In this study, Consequential Life Cycle Assessment (CLCA) was used to analyze a change from the current use of faba bean as protein feed for dairy cows (Reference scenario) to two alternative uses where the whole crop is harvested: whole crop processing in a green biorefinery producing ethanol, protein concentrate feed and fuel briquettes (Biorefinery scenario), or with the whole crop used as roughage feed (Roughage scenario). Impacts on climate change, arable land use and primary fossil energy use were considered. The changed use of faba bean resulted in changes in the feedstuff requirements for dairy cows, which were highly influential for the results. Whole crop harvesting as opposed to bean harvesting with return of crop residues resulted in increased climate impact and energy use during the agricultural and processing stages. On including substitution effects of the products, the Biorefinery scenario resulted in +25, −20% and −100% change for climate impact, arable land use and energy use, respectively, in relation to the Reference situation. The increase in climate impact was primarily due to soil carbon changes and increased demand for marginal grain. When the whole faba bean crop was used as roughage (Roughage scenario), the corresponding changes were +164%, −130% and +167% for climate change, arable land use and energy use, respectively. The increased impact was due to increased use of feed grain as a result of using the protein-rich roughage.

Suggested Citation

  • Karlsson, Hanna & Ahlgren, Serina & Strid, Ingrid & Hansson, Per-Anders, 2015. "Faba beans for biorefinery feedstock or feed? Greenhouse gas and energy balances of different applications," Agricultural Systems, Elsevier, vol. 141(C), pages 138-148.
  • Handle: RePEc:eee:agisys:v:141:y:2015:i:c:p:138-148
    DOI: 10.1016/j.agsy.2015.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X15300354
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2015.10.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cherubini, Francesco & Ulgiati, Sergio, 2010. "Crop residues as raw materials for biorefinery systems - A LCA case study," Applied Energy, Elsevier, vol. 87(1), pages 47-57, January.
    2. Whittaker, Carly & Borrion, Aiduan Li & Newnes, Linda & McManus, Marcelle, 2014. "The renewable energy directive and cereal residues," Applied Energy, Elsevier, vol. 122(C), pages 207-215.
    3. Adam J. Liska & Haishun Yang & Maribeth Milner & Steve Goddard & Humberto Blanco-Canqui & Matthew P. Pelton & Xiao X. Fang & Haitao Zhu & Andrew E. Suyker, 2014. "Biofuels from crop residue can reduce soil carbon and increase CO2 emissions," Nature Climate Change, Nature, vol. 4(5), pages 398-401, May.
    4. Widerberg, Anna & Wråke, Markus, 2009. "The Impact of the EU Emissions Trading System on CO2 Intensity in Electricity Generation," Working Papers in Economics 361, University of Gothenburg, Department of Economics.
    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. Henryson, Kajsa & Sundberg, Cecilia & Kätterer, Thomas & Hansson, Per-Anders, 2018. "Accounting for long-term soil fertility effects when assessing the climate impact of crop cultivation," Agricultural Systems, Elsevier, vol. 164(C), pages 185-192.
    2. Nicole Bamber & Ian Turner & Baishali Dutta & Mohammed Davoud Heidari & Nathan Pelletier, 2023. "Consequential Life Cycle Assessment of Grain and Oilseed Crops: Review and Recommendations," Sustainability, MDPI, vol. 15(7), pages 1-28, April.
    3. Quyen Le Luu & Sonia Longo & Maurizio Cellura & Eleonora Riva Sanseverino & Maria Anna Cusenza & Vincenzo Franzitta, 2020. "A Conceptual Review on Using Consequential Life Cycle Assessment Methodology for the Energy Sector," Energies, MDPI, vol. 13(12), pages 1-19, June.
    4. Xiaolin Yang & Jinran Xiong & Taisheng Du & Xiaotang Ju & Yantai Gan & Sien Li & Longlong Xia & Yanjun Shen & Steven Pacenka & Tammo S. Steenhuis & Kadambot H. M. Siddique & Shaozhong Kang & Klaus But, 2024. "Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    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. Bonou, Alexandra & Laurent, Alexis & Olsen, Stig I., 2016. "Life cycle assessment of onshore and offshore wind energy-from theory to application," Applied Energy, Elsevier, vol. 180(C), pages 327-337.
    2. Monforti, F. & Lugato, E. & Motola, V. & Bodis, K. & Scarlat, N. & Dallemand, J.-F., 2015. "Optimal energy use of agricultural crop residues preserving soil organic carbon stocks in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 519-529.
    3. Monteleone, Massimo & Cammerino, Anna Rita Bernadette & Garofalo, Pasquale & Delivand, Mitra Kami, 2015. "Straw-to-soil or straw-to-energy? An optimal trade off in a long term sustainability perspective," Applied Energy, Elsevier, vol. 154(C), pages 891-899.
    4. Zhai, Jihua & Burke, Ian T. & Stewart, Douglas I., 2021. "Beneficial management of biomass combustion ashes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    5. Weng, Yuwei & Chang, Shiyan & Cai, Wenjia & Wang, Can, 2019. "Exploring the impacts of biofuel expansion on land use change and food security based on a land explicit CGE model: A case study of China," Applied Energy, Elsevier, vol. 236(C), pages 514-525.
    6. Danilo Arcentales-Bastidas & Carla Silva & Angel D. Ramirez, 2022. "The Environmental Profile of Ethanol Derived from Sugarcane in Ecuador: A Life Cycle Assessment Including the Effect of Cogeneration of Electricity in a Sugar Industrial Complex," Energies, MDPI, vol. 15(15), pages 1-24, July.
    7. Sánchez, S. & Lozano, L.J. & Godínez, C. & Juan, D. & Pérez, A. & Hernández, F.J., 2010. "Carob pod as a feedstock for the production of bioethanol in Mediterranean areas," Applied Energy, Elsevier, vol. 87(11), pages 3417-3424, November.
    8. Khoo, Hsien H., 2015. "Review of bio-conversion pathways of lignocellulose-to-ethanol: Sustainability assessment based on land footprint projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 100-119.
    9. Huang, Yu-Fong & Chiueh, Pei-Te & Kuan, Wen-Hui & Lo, Shang-Lien, 2016. "Microwave pyrolysis of lignocellulosic biomass: Heating performance and reaction kinetics," Energy, Elsevier, vol. 100(C), pages 137-144.
    10. Zhang, XiaoHong & Pan, HengYu & Cao, Jun & Li, JinRong, 2015. "Energy consumption of China’s crop production system and the related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 111-125.
    11. Tahereh Soleymani Angili & Katarzyna Grzesik & Anne Rödl & Martin Kaltschmitt, 2021. "Life Cycle Assessment of Bioethanol Production: A Review of Feedstock, Technology and Methodology," Energies, MDPI, vol. 14(10), pages 1-18, May.
    12. Kasivisvanathan, Harresh & Barilea, Ivan Dale U. & Ng, Denny K.S. & Tan, Raymond R., 2013. "Optimal operational adjustment in multi-functional energy systems in response to process inoperability," Applied Energy, Elsevier, vol. 102(C), pages 492-500.
    13. Samaneh Bahrololoum & Mojtaba Mahmood Molaei Kermani & Farzaneh Koohzadi, 2022. "Ecopreneurs and agricultural waste management," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 12(1), pages 47-51, December.
    14. Weiser, Christian & Zeller, Vanessa & Reinicke, Frank & Wagner, Bernhard & Majer, Stefan & Vetter, Armin & Thraen, Daniela, 2014. "Integrated assessment of sustainable cereal straw potential and different straw-based energy applications in Germany," Applied Energy, Elsevier, vol. 114(C), pages 749-762.
    15. Jaraitė, Jūratė & Di Maria, Corrado, 2012. "Efficiency, productivity and environmental policy: A case study of power generation in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1557-1568.
    16. Jurate Jaraite-Ka~ukauske and Corrado Di Maria, 2016. "Did the EU ETS Make a Difference? An Empirical Assessment Using Lithuanian Firm-Level Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    17. Trindade, F. & Fulginiti, L. & Perrin, R., 2018. "Irrigation and Climate Effects on Land Productivity in the U.S. Central Plains," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277264, International Association of Agricultural Economists.
    18. Venturini, Giada & Pizarro-Alonso, Amalia & Münster, Marie, 2019. "How to maximise the value of residual biomass resources: The case of straw in Denmark," Applied Energy, Elsevier, vol. 250(C), pages 369-388.
    19. Wei Zhang & Chang Liu & Lingqi Li & Enhui Jiang & Hongjun Zhao, 2024. "The Coupling Coordination Degree and Its Driving Factors for Water–Energy–Food Resources in the Yellow River Irrigation Area of Shandong Province," Sustainability, MDPI, vol. 16(19), pages 1-22, September.
    20. Dandres, Thomas & Gaudreault, Caroline & Tirado-Seco, Pablo & Samson, Réjean, 2011. "Assessing non-marginal variations with consequential LCA: Application to European energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3121-3132, August.

    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:eee:agisys:v:141:y:2015:i:c:p:138-148. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.