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SECTION C: ENGINEERING

Vol. 14 No. 2 (2022)

Biomass Assessment of Peach Trees in the Ecuadorian Andes

DOI
https://doi.org/10.18272/aci.v14i2.1920
Submitted
August 6, 2020
Published
2022-12-12

Abstract

This work focused on the evaluation of four essential aspects of biomass based on peach trees grown in the Andean region of Ecuador. In one case, mathematical models have been developed allowing the amount of lignocellulosic material to be quantified from easily measurable parameters such as crown diameter, stem diameter and plant height. Performing quick surveys, these equations led to obtain the amount of biomass contained in a plot. In a second case, elemental analysis of biomass was performed in order to determine the amount of CO2 captured from the atmosphere through photosynthesis during its growth, and thus to assess the contribution of these plots in mitigating climate change. Afterwards, residual biomass from pruning was quantified and a proximal analysis was carried out. This allowed us to assess the suitability of these materials as solid biofuels. The models obtained to determine the volume of the branches gave determination coefficients of 0.98. Models to quantify the biomass of the whole plant had r2 of 70%. The
density of the dried material was 0.92 g/cm3, obtaining an average dry wood weight of 44.8 kg per plant. This represents a content of 1682 moles of captured CO2 of a developed plant crop (3 years). The average ash on dry wood was 3%, fixed carbon content on dry wood was 7%, and volatile content dry wood was 78%. The moisture content of waste materials after pruning was 45.96%. The drying time in store for humidity below 10%, suitable for burning boiler, was 15 days. The higher heating value of peach wood was 18.92MJ/kg.

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References

  1. Velázquez-Martí, B., & Annevelink, E. (2009). GIS application to define biomass collection points as sources for linear programming of delivery networks. Transactions of ASABE, 52(4), 1069-1078. https://doi.org/10.13031/2013.27776
  2. Velázquez-Martí, B., & Fernandez-Gonzalez, E. (2010). Mathematical algorithms to locate factories to transform
  3. biomass in bioenergy focused on logistic network construction. Renewable Energy, 35(9), 2136-2142. https://doi.org/10.1016/j.renene.2010.02.011
  4. Velázquez-Martí, B., Fernández-González, E., López-Cortes, I., & Salazar-Hernández, D. M. (2011). Quantification of the residual biomass obtained from pruning of trees in Mediterranean almond groves. Renewable Energy, 36(2), 621-626. https://doi.org/10.1016/j.renene.2010.08.008
  5. Estornell, J., Velázquez-Martí, B., López-Cortés, I., Salazar, D., & Fernández-Sarría, A. (2014). Estimation of wood
  6. volume and height of olive tree plantations using airborne discrete-return lidar data. GIScience & Remote Sensing, 51(1), 17-29. https://doi.org/10.1080/15481603.2014.883209
  7. Velázquez-Martí, B., Fernandez-Gonzalez, E., Estornell, J., & Ruiz, L. A. (2010). Dendrometric and dasometric analysis of the bushy biomass in Mediterranean forests. Forest Ecology and Management, 259(5), 875-882. https://doi.org/10.1016/j.foreco.2009.11.027
  8. Callejón-Ferre, A. J., Velázquez-Martí, B., Lopez-Martinez, J. A., & Manzano-Agugliaro, F. (2011). Greenhouse crop
  9. residues: Energy potential and models for prediction of their higher heating value. Renewable and Sustainable Energy Reviews, 15(2), 948-955. https://doi.org/10.1016/j.rser.2010.11.012
  10. Velázquez-Martí, B., Fernández-Gonzalez, E., López-Cortés, I., & Callejón-Ferre, A. J. (2013). Prediction and evaluation of biomass obtained from citrus trees pruning. Journal of Food, Agriculture & Environment, 11(3&4), 1485-1491.
  11. Cannell, M. G. R. (2003). Carbon sequestration and biomass energy offset: Theoretical, potential and achievable capacities globally, in Europe and the UK. Biomass Bioenergy, 24(2), 97-116. https://doi.org/10.1016/S0961-9534(02)00103-4
  12. Joosten, R., Schumacher, J., Wirth, C., & Schulte, A. (2004). Evaluating tree carbon predictions for beech (Fagus sylvatica L) in western Germany. Forest Ecology and Management, 189, 87-96. https://doi.org/10.1016/j.foreco.2003.07.037
  13. Estornell, J., Ruiz, L. A., Velázquez-Martí, B., López-Cortés, I., Salazar, D., & Fernández-Sarría, A. (2015). Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data. Biomass and Bioenergy, 81, 315-321. https://doi.org/10.1016/j.biombioe.2015.07.015
  14. Husch, B., Beers, T. W., & Kershaw Jr., J. A. (2003). Forest Mensuration, 4th ed. John Wiley and Sons, Inc., New Jersey, USA, p. 443.
  15. Zianis, D., & Mencuccini, M. (2004). On simplifying allometric analyses of forest biomass. For. Ecol. Manage., 187(2–3), 311-332. https://doi.org/10.1016/j.foreco.2003.07.007
  16. Jiang, L., Brooks, J. R., & Wang, J. (2005). Compatible taper and volume equations for yellow-poplar in West Virginia. Forest Ecology and Management, 213(1–3), 399-409. https://doi.org/10.1016/j.foreco.2005.04.006
  17. Dhote, J. F., Le Moguedec, G., Vallet, P., Dhôte, J., Le Moguédec, G., Ravart, M., & Pignard, G. (2006). Development of total aboveground volume equations for seven important forest tree species in France. Forest ecology and management, 229(1–3), 98-110. https://doi.org/10.1016/j.foreco.2006.03.013
  18. Brandeis, T. J., Delaney, M., Parresol, B. R., & Royer, L. (2006). Development of equations for predicting Puerto
  19. Rican subtropical dry forest biomass and volume. Forest Ecology and Management, 233(1), 133-142. https://doi.
  20. org/10.1016/j.foreco.2006.06.012
  21. Akindele, S. O., & LeMay, V. M. (2006). Development of tree volume equations for common timber species in the
  22. tropical rain forest area of Nigeria. Forest Ecology and Management, 226(1–3), 41-48. https://doi.org/10.1016/j.
  23. foreco.2006.01.022
  24. Velázquez-Martí, B., Estornell, J., López-Cortés, I., & Martí-Gavila, J. (2012). Calculation of biomass volume of
  25. citrus trees from an adapted dendrometry. Biosystems Engineering, 112(4), 285-292. https://doi.org/10.1016/j.biosystemseng.2012.04.011
  26. Velázquez-Martí, B., López-Cortés, I., & Salazar, D. M. (2014). Dendrometric analysis of olive trees for wood biomass quantification in Mediterranean orchards. Agroforestry Systems, 88(5), 755-765. https://doi.org/10.1007/s10457-014-9718-1
  27. Vargas-Moreno, J. M., Callejón-Ferre, A. J., Pérez-Alonso, J., & Velázquez-Martí, B. (2012). A review of the mathematical models for predicting the heating value of biomass materials. Renewable and Sustainable Energy Reviews, 16(5):3065– 3083. https://doi.org/10.1016/j.rser.2012.02.054