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Wood characterization for energy application proceeding from pruning Morus alba L., Platanus hispanica Münchh. and Sophora japonica L. in urban areas

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  • Velázquez-Martí, B.
  • Sajdak, M.
  • López-Cortés, I.
  • Callejón-Ferre, A.J.

Abstract

Pruning urban forests generates significant amounts of lignocellulosic biomass every year. The energy potential of this biomass is unclear. The aim of this research was direct analysis of the gross calorific value (GCV), elemental composition and moisture content of Morus alba L., Platanus hispanica Münchh. and Sophora japonica L. by means of laboratory equipment. This analysis allowed for further development of indirect GCV prediction models which are economically attractive and less time consuming to direct analysis. These models presented high coefficients of determination (R2 0.66–0.96). It has been determined that the species with highest mean GCV is S. japonica L. (19615.68 kJ/kg-dry sample) whereas the one with the lowest is the M. alba L. (18192.87 kJ/kg-dry sample). Elemental analysis showed highest carbon (48.22%), hydrogen (6.17%) and nitrogen (1.16%) content in S. japonica L. in dry samples. Sulfur was constant at the level 0.05% for all analyzed species. Also percentage of bark and wood density were determined. Mean percentage of bark was highest for P. hispanica Münchh. (13.05%) while wood density was highest for S. japonica L. (0.86 g cm−3). This way the research has proven that the biomass produced by pruning urban forests appears to be an interesting source of renewable energy.

Suggested Citation

  • Velázquez-Martí, B. & Sajdak, M. & López-Cortés, I. & Callejón-Ferre, A.J., 2014. "Wood characterization for energy application proceeding from pruning Morus alba L., Platanus hispanica Münchh. and Sophora japonica L. in urban areas," Renewable Energy, Elsevier, vol. 62(C), pages 478-483.
    • Handle: RePEc:eee:renene:v:62:y:2014:i:c:p:478-483
    DOI: 10.1016/j.renene.2013.08.010
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    References listed on IDEAS

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    1. Sajdak, M. & Velazquez-Marti, B., 2012. "Estimation of pruned biomass form dendrometric parameters on urban forests: Case study of Sophora japonica," Renewable Energy, Elsevier, vol. 47(C), pages 188-193.
    2. Erol, M. & Haykiri-Acma, H. & Küçükbayrak, S., 2010. "Calorific value estimation of biomass from their proximate analyses data," Renewable Energy, Elsevier, vol. 35(1), pages 170-173.
    3. Velázquez-Martí, B. & Sajdak, M. & López-Cortés, I., 2013. "Available residual biomass obtained from pruning Morus alba L. trees cultivated in urban forest," Renewable Energy, Elsevier, vol. 60(C), pages 27-33.
    4. 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, Elsevier, vol. 16(5), pages 3065-3083.
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    1. Velázquez-Martí, B. & Gaibor-Cházvez, J. & Niño-Ruiz, Z. & Narbona-Sahuquillo, S., 2018. "Complete characterization of pruning waste from the lechero tree (Euphorbia laurifolia L.) as raw material for biofuel," Renewable Energy, Elsevier, vol. 129(PA), pages 629-637.
    2. Alba Mondragón-Valero & Borja Velázquez-Martí & Domingo M. Salazar & Isabel López-Cortés, 2018. "Influence of Fertilization and Rootstocks in the Biomass Energy Characterization of Prunus dulcis (Miller)," Energies, MDPI, vol. 11(5), pages 1-12, May.
    3. Ferla, G. & Caputo, P. & Colaninno, N. & Morello, E., 2020. "Urban greenery management and energy planning: A GIS-based potential evaluation of pruning by-products for energy application for the city of Milan," Renewable Energy, Elsevier, vol. 160(C), pages 185-195.
    4. Vanbeveren, Stefan P.P. & Spinelli, Raffaele & Eisenbies, Mark & Schweier, Janine & Mola-Yudego, Blas & Magagnotti, Natascia & Acuna, Mauricio & Dimitriou, Ioannis & Ceulemans, Reinhart, 2017. "Mechanised harvesting of short-rotation coppices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 90-104.
    5. Chen, Congjin & Zhu, Jingxian & Jia, Shuang & Mi, Shuai & Tong, Zhangfa & Li, Zhixia & Li, Mingfei & Zhang, Yanjuan & Hu, Yuhua & Huang, Zuqiang, 2018. "Effect of ethanol on Mulberry bark hydrothermal liquefaction and bio-oil chemical compositions," Energy, Elsevier, vol. 162(C), pages 460-475.

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