The purpose of this study to identify the relationship between the geographical distribution of biomass and its properties variation for energy production. A total of 18 energy tree species with their proximate and ultimate analysis from three phytogeographic regions were collected from the open literature. Analysis of variance and Pearson correlation were applied to examine the variability between biomass fuel properties and their relationship to biomass energy content.The results showed that the biomass fuel composition varied significantly based on its geographical distribution, where the most varying biomass component was oxygen (p < 0.000) however its effects on the energy content of biomass fuel were very weak and negative (r = -.09). While ash content of biomass fuel correlates significantly (r = -.51, p <.01) with its energy content, which is considered the soil is main source of it. Therefore, further studies on mineral soil particles and their relationship with biomass fuel energy content is required thus, to guarantee its quality in energy production.
oldalErdőmérnöki Kar Tudományos Kiadványa 2022 system to broaden our understanding about the factors that effect on biomass quality and its capacity to produce energy.
Material and methodsIn this study, the term "phytogeographic" was used in its broadest sense, referring to geographic factors such as soil, climate, and plant species (LI ET AL., 2015) to identify the main geographic factors that affect biomass characteristics. Thus, biomass samples from three phytogeographical regions namely Holarctic, Paleotropical and Neotropical kingdoms were collected from the open literature. For each phytogeographic region six tree biomass samples were taken (Table 1). The original calorific value, proximate and ultimate analyses data of this study were collected with due care to ensure the data resulted from standard methods, including those of the American Society of Testing and Materials (ASTM) and European Committee for Standardization (CEN). Extra care was also taken to ensure the tree species names and classifications were correct. Table 1. The scientific names of energy tree species under study from different phytogeographic regions Geographic region Species References Holarctic kingdom Acacia sp. Quercus rubor (BAI ET AL., 2014) Salix sp. Populus sp. Castanea sativa (ÁLVAREZ ET AL., 2018) Salix sp. Neotropical kingdom S. gaumeri H. albicans (RODRÍGUEZ-JIMÉNEZ ET AL., 2019) L. latisiliquum Guazuma ulmifolia Cordia alliodora (DÍEZ ET AL., 2017) Eucalyptus grandis Paleotropical kingdom G. arborea A. mangium (ACDA, 2015) P. falcataria Populus sp. Salix sp.