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A method of estimation of the caloric value of the biomass. Part II - energy balance of biomass production

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
When establishing a plantation of energy crops, a number of decisions regarding planned technology and plant selection should be made. Using the complex calculation algorithms, it is possible to determine the amount of energy needed to establish, run and liquidate the plantation. An analysis of the technological process and the specifics of the examined plants allows to determine the set of the most important features determining the yield size, and ultimately the energy efficiency of the planned production. When conducting field production, the influence of climatic conditions should also be taken into account, for example using a hydrothermal coefficient. The most difficult element of the planned project is to determine the size of the expected yield. Using the above relationships, a mathematical model can be used which, while maintaining the range of the system variables, allows to determine the amount of the expected energy value of the crop.
Rocznik
Strony
311--316
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty of Mechanical Engineering, Department of Agrobiotechnology, Koszalin University of Technology, Racławicka 15-17, 75-620, Koszalin, Poland
  • Faculty of Mechanical Engineering, Department of Agrobiotechnology, Koszalin University of Technology, Racławicka 15-17, 75-620, Koszalin, Poland
Bibliografia
  • 1. Anuszewski R., Pawlak J., Wójcicki Z., (1979). Energy consumption of agricultural production. Part I. Methodology of research on energy consumption of production of food raw materials, IBMER Warsaw.
  • 2. Bartoszek K., Banasiewicz I. (2007). Agrometeorological characteristics of the vegetation period in 2005 against the background of the period of 1951–2005 in the Lublin region. Acta Agrophysica, Vol. 9, No. 2, pp. 275-283.
  • 3. Cabelguenne M., Debaeke P., Bouniols A. (1999). EPIC phase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybean and winter wheat. Agricultural Systems, Vol. 60, No. 3, pp. 175-196.
  • 4. Harasim A. (1997). Possibilities to compensate for the negative impact of the stand on the yield and efficiency of winter wheat production. II. Economic and energy efficiency. Pam. Puł., Vol. 111, pp. 73-87.
  • 5. Hatirli S.A., Ozkan B., Fert C. (2005). Energy input and crop yield relationship in greenhouse tomato production. Renewable Energy, Vol. 31. No. 4, pp. 427-438.
  • 6. Hryniewicz M., Grzybek A. (2010). Comparison of energy unit consumption of cumulated willow, miscanthus and mallow growing, Modeling of energetic use of biomass (A. Grzybek, Ed.) ITP Warsaw, pp. 145-157.
  • 7. Karwowski T. (1998). The basics of team machine use, IBMER, Warsaw.
  • 8. Kim J., Realff M., Lee J., Whittaaker C., Furtner L. (2011). Design of biomass processing network for biofuel production using an MILP model, Biomass and bioenergy, Vol. 35. pp. 853-871.
  • 9. Kopetz H., Jossart J.M., Ragossnicg H., Metschina C., (2007). European Biomass Statistics 2007. AEBIOM. Bruksela. pp. 73.
  • 10. Kuczewski J., Majewski Z. (1985). Exploitation of agricultural machinery Vol. 1, PWRiL, Warsaw.
  • 11. Kumar A., Sokhansanj S. (2007). Switchgrass (Panicum vigratum, L.) delivery to a biorefinery using integrated biomass supply analysis and logistics (IBSAL) model, Bioresourte Technology, Vol. 98, No. 5, pp. 1033-1044.
  • 12. López-Cedrón F.X., Boote K.J., Piñeiro J., Sau F. (2008). Improving the CERES-Maize Model Ability to Simulata Water Deficit Impact on Maize Production and Yield Components. Agronomy Journal, Vol. 100. No, 2, pp. 296-307.
  • 13. Muzalewski A. (2006). Exploitation costs of machine, Bulletin No. 21, IBMER, Warsaw.
  • 14. Piskier T. (2017). A method of estimation of the caloric value of the biomass. Part I – biomass energy potential. Journal of Mechanical and Energy Engineering. Vol. 1(41), No. 2, pp. 189-194.
  • 15. Piskier T. (2002). Exploitation of agricultural machinery, WUPK, Koszalin.
  • 16. Piskier T. (2011). The model of energy value assessment for topinambour grown for fuel. Agricultural Engineering, Vol. 5, No. 1, pp. 189-195.
  • 17. Polański Z. (1984). Planning of experience in technology, PWN Warsaw.
  • 18. Ramsay W. (2007). Security of energy supply in the European Union International Energy Agency. Melnik, 31.05.2007.
  • 19. Roszkowski A. 2008. Biomass versus Agriculture. Agricultural Engineering, Vol. 10, No. 108, pp. 201-208.
  • 20. Roszkowski A. (2008). Energy efficiency of various methods of the use and biomass production. Studies and Reports IUNG and PIB, 11, Growing energy crops and the use of agricultural production space in Poland, pp. 101-112.
  • 21. Wang E., Robertson M.J., Hammer G.L., Carberry P.S., Holzworth D., Meinke H., Chapman S.C., Hargreaves J.N.G., Huth N.I., McLean G. (2002). Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy, Vol. 18, No. 1-2, pp. 121-140.
  • 22. Węgrzyn A., Zając G. (2008). Selected aspects of research on energetic effectiveness of plant biomass production technology, Acta Agrophysica, Vol. 11, No. 3, pp. 799-806.
  • 23. Wójcicki Z., (2002). Equipment and expenditure of materials and energy in development farms. IBMER Warsaw.
  • 24. Villalobos F.J., Hall A.J., Ritchie J.T., Orgaz F. (1996). Oilcrop-sun: A development, growth, and yield model of sunflower crop, Agronomy Journal, Vol. 88, No. 3, pp. 403-415.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5697ecc4-7750-4b58-ae14-9cd471402bab
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