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Modeling of biomass potential from agricultural land for energy utilization using high resolution spatial data with regard to food security scenarios

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  • Vávrová, Kamila
  • Knápek, Jaroslav
  • Weger, Jan

Abstract

The paper presents results of modeling biomass potential under different scenarios of agricultural land utilization, which represent strategies of national food security. High resolution spatial data (GIS) including valuation of agricultural land, maps of actual utilization of agricultural land, yields of annual food crops and yield curves of perennial energy crops derived from empirical field data were used. The biomass sources used were residual straw from conventional agriculture crops (cereals, rape) and lignocellulose biomass from perennial energy crops (poplar, willow, Miscanthus, reed canary grass, hybrid sorrel, and other grasses). Biomass potential is modeled using original methods and algorithms that enabled the respecting of several its limitations (nature and soil protection, competition of crops for land, and use of straw for animal production). For the actual modeling—calculating the biomass potential for a given territory—a geographic information system is used (software TopoL©). Results of analyses confirmed that residual of biomass has good potential as source of energy in the Czech Republic (about 121PJ/year which equals to 6.8% of primary energy sources used in 2012), though the total number is lower than in previous assessments. The current biomass potential can be significantly increased with allocation of energy crops on less fertile land according to food security scenarios. Modeling also showed that biomass potential is non-linearly dependent on land allocated for energy crops. Soil and climate conditions of agricultural land allocated (available) for biomass production and its suitability for new energy crops play the decisive role in the definition of future biomass potential from agriculture land. Practical outputs of the modeling are yield maps of individual and mixed biomass sources as well as databases of biomass potential under different food security scenarios for regions of the Czech Republic, which can be used for planning of sustainable development of bioenergy.

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  • Vávrová, Kamila & Knápek, Jaroslav & Weger, Jan, 2014. "Modeling of biomass potential from agricultural land for energy utilization using high resolution spatial data with regard to food security scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 436-444.
    • Handle: RePEc:eee:rensus:v:35:y:2014:i:c:p:436-444
    DOI: 10.1016/j.rser.2014.04.008
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    Cited by:

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    2. Zhang, Jianjun & Chen, Yang & Rao, Yongheng & Fu, Meichen & Prishchepov, Alexander V., 2017. "Alternative spatial allocation of suitable land for biofuel production in China," Energy Policy, Elsevier, vol. 110(C), pages 631-643.
    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. Okey Francis Obi & Ralf Pecenka & Michael J. Clifford, 2022. "A Review of Biomass Briquette Binders and Quality Parameters," Energies, MDPI, vol. 15(7), pages 1-22, March.
    5. Knápek, Jaroslav & Králík, Tomáš & Vávrová, Kamila & Weger, Jan, 2020. "Dynamic biomass potential from agricultural land," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    6. Vávrová, Kamila & Knápek, Jaroslav & Weger, Jan & Králík, Tomáš & Beranovský, Jiří, 2018. "Model for evaluation of locally available biomass competitiveness for decentralized space heating in villages and small towns," Renewable Energy, Elsevier, vol. 129(PB), pages 853-865.
    7. Vávrová, Kamila & Knápek, Jaroslav & Weger, Jan, 2017. "Short-term boosting of biomass energy sources – Determination of biomass potential for prevention of regional crisis situations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 426-436.
    8. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    9. Roberts, Justo José & Cassula, Agnelo Marotta & Osvaldo Prado, Pedro & Dias, Rubens Alves & Balestieri, José Antonio Perrella, 2015. "Assessment of dry residual biomass potential for use as alternative energy source in the party of General Pueyrredón, Argentina," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 568-583.
    10. Knápek, J. & Králík, T. & Vávrová, K. & Valentová, M. & Horák, M. & Outrata, D., 2021. "Policy implications of competition between conventional and energy crops," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    11. Żyromski, Andrzej & Szulczewski, Wiesław & Biniak-Pieróg, Małgorzata & Jakubowski, Wojciech, 2016. "The estimation of basket willow (Salix viminalis) yield – New approach. Part I: Background and statistical description," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1118-1126.

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