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A new method for the estimation of biomass yield of giant miscanthus (Miscanthus giganteus) in the course of vegetation

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  • Szulczewski, Wiesław
  • Żyromski, Andrzej
  • Jakubowski, Wojciech
  • Biniak-Pieróg, Małgorzata

Abstract

The paper presents an innovative approach to the estimation of biomass of giant miscanthus (Miscanthus giganteus) at any point in time during the period of its vegetation. The innovative aspect consists in a simplification of required input data, as the model of biomass increase was developed on the basis of simple biometric measurements of such parameters as shoot length, diameter and mass. The study was based on field measurements conducted on plants in the period of 2012–2014 (3rd-5th year of cultivation), at varied weather conditions. The field experiment was performed on a cultivation conducted with the extensive method. Based on the developed descriptive statistics of biometric traits of miscanthus, the correlation of two features of miscanthus shoot volume index and shoot mass was determined statistically correctly. After transformation, it was defined as a mixture of two normal distributions independent from the age of the plantation and from the time of measurement during the vegetation period. The number of shoots per plant was estimated by shifted Pascal distribution. In the next stage of the study the material acquired from the field measurements and performed calculations allowed to develop the final formula of a simple model for the estimation of current biomass of giant miscanthus. Knowledge of the structure of plant density on a plantation permits the estimation of the current amount of miscanthus biomass on its area. The accuracy of estimation of current biomass of miscanthus, analysed in the study, depends on the number of shoots on which biometric measurements are performed. The most rational approach is to make the measurements on 10 shoots of miscanthus. Any further increase of the number of shoots subjected to measurement does not provide any significant increase of accuracy of estimation of biomass on the plantation. The results obtained allow very good estimation, with as much as 80% probability, of the biomass of the plant, with relative error of estimation not exceeding 17%. An important aspect of the constructed model is the fact that it is based on measured simple biometric features of the plant and does not require any estimates of the weather conditions during the vegetation.

Suggested Citation

  • Szulczewski, Wiesław & Żyromski, Andrzej & Jakubowski, Wojciech & Biniak-Pieróg, Małgorzata, 2018. "A new method for the estimation of biomass yield of giant miscanthus (Miscanthus giganteus) in the course of vegetation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1787-1795.
    • Handle: RePEc:eee:rensus:v:82:y:2018:i:p2:p:1787-1795
    DOI: 10.1016/j.rser.2017.07.057
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    Citations

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    Cited by:

    1. Jan Weger & Jaroslav Knápek & Jaroslav Bubeník & Kamila Vávrová & Zdeněk Strašil, 2021. "Can Miscanthus Fulfill Its Expectations as an Energy Biomass Source in the Current Conditions of the Czech Republic?—Potentials and Barriers," Agriculture, MDPI, vol. 11(1), pages 1-21, January.
    2. Wenxiao Chu & Francesco Calise & Neven Duić & Poul Alberg Østergaard & Maria Vicidomini & Qiuwang Wang, 2020. "Recent Advances in Technology, Strategy and Application of Sustainable Energy Systems," Energies, MDPI, vol. 13(19), pages 1-29, October.
    3. Stanisław Rolbiecki & Małgorzata Biniak-Pieróg & Andrzej Żyromski & Wiesława Kasperska-Wołowicz & Barbara Jagosz & Piotr Stachowski & Daniel Liberacki & Ewa Kanecka-Geszke & Hicran A. Sadan & Roman Ro, 2021. "Effect of Forecast Climate Changes on Water Needs of Giant Miscanthus Cultivated in the Kuyavia Region in Poland," Energies, MDPI, vol. 14(20), pages 1-13, October.
    4. Hou, Wei & Yi, Zili, 2023. "Adaptability comparison and application assessment of various bioenergy grasses on different marginal lands in China," Energy, Elsevier, vol. 285(C).
    5. Francesco Calise & Maria Vicidomini & Mário Costa & Qiuwang Wang & Poul Alberg Østergaard & Neven Duić, 2019. "Toward an Efficient and Sustainable Use of Energy in Industries and Cities," Energies, MDPI, vol. 12(16), pages 1-28, August.
    6. Evgeny Chupakhin & Olga Babich & Stanislav Sukhikh & Svetlana Ivanova & Ekaterina Budenkova & Olga Kalashnikova & Olga Kriger, 2021. "Methods of Increasing Miscanthus Biomass Yield for Biofuel Production," Energies, MDPI, vol. 14(24), pages 1-30, December.
    7. Jan K. Kazak & Joanna A. Kamińska & Rafał Madej & Marta Bochenkiewicz, 2020. "Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support," Energies, MDPI, vol. 13(21), pages 1-26, October.
    8. Francesco Calise & Mário Costa & Qiuwang Wang & Xiliang Zhang & Neven Duić, 2018. "Recent Advances in the Analysis of Sustainable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-30, September.

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