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Development model for energy crop plantations in the Czech Republic for the years 2008-2030

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  • Havlícková, Kamila
  • Suchý, Jirí

Abstract

This paper deals with modelling the development of plantations for intentional biomass production. The model of plots for the areas of interest consider the following biomass sources: intentionally produced biomass from SRC of fast-growing trees and non-woody energy crops (sorrel, reed grass and triticale). Statistical data for the entire area of interest (NUTS1 size) and data for a part of this area (NUTS3 size--18% of total area of interest) were used to determine data on the area of arable land and permanent grasslands in the initial year. This paper presents a model of the development of production plots for the period 2008-2030. Yields are calculated of selected energy crops with regard to their growing cycle using so-called triangular method. The core of the algorithm for calculation of growing area of energy crop is an optimalization of processes regarding economic and technical demands for long-term and sustainable production of biomass.

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  • Havlícková, Kamila & Suchý, Jirí, 2010. "Development model for energy crop plantations in the Czech Republic for the years 2008-2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1925-1936, September.
    • Handle: RePEc:eee:rensus:v:14:y:2010:i:7:p:1925-1936
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    1. Tad Patzek & S.-M. Anti & R. Campos & K. ha & J. Lee & B. Li & J. Padnick & S.-A. Yee, 2005. "Ethanol From Corn: Clean Renewable Fuel for the Future, or Drain on Our Resources and Pockets?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 7(3), pages 319-336, September.
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    1. Raslavičius, Laurencas & Kučinskas, Vytautas & Jasinskas, Algirdas, 2013. "The prospects of energy forestry and agro-residues in the Lithuania's domestic energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 419-431.
    2. Mojović, Ljiljana & Pejin, Dušanka & Rakin, Marica & Pejin, Jelena & Nikolić, Svetlana & Djukić-Vuković, Aleksandra, 2012. "How to improve the economy of bioethanol production in Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6040-6047.
    3. Knápek, Jaroslav & Králík, Tomáš & Vávrová, Kamila & Weger, Jan, 2020. "Dynamic biomass potential from agricultural land," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. 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.
    5. Ramírez, Francisco & Seco, Andrés, 2011. "Minimizing the environmental effects caused by the production of bioenergy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3327-3331, September.
    6. 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.
    7. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    8. 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.
    9. Balezentiene, Ligita & Streimikiene, Dalia & Balezentis, Tomas, 2013. "Fuzzy decision support methodology for sustainable energy crop selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 83-93.

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