Abstract
The high dependence on hydrocarbons in the global energy matrix, particularly in Angola, has
caused serious environmental impacts, mainly due to the increase in greenhouse gas emissions. In this
context, it is necessary to diversify the national energy matrix through the incorporation of renewable
sources, highlighting forest biomass as a strategic alternative for the production of biofuels, such as bio-
oil, bioethanol, and Sustainable Aviation Fuel (SAF). This study aimed to characterize forest biomass
and evaluate its bioenergy potential in the provinces of Cuanza-Norte and Malanje, encompassing the
municipalities of Cambambe, Lucala, Ambaca, Cacuso, Cangandala, and Kiwaba Nzoji. The
methodology integrated field surveys, dendrometric analyses, forest sampling, laboratory procedures,
and the use of Geographic Information Systems (GIS). The results demonstrated the existence of forest
formations with high energy potential, although some plant types present high moisture and ash content,
requiring complementary drying and pre-treatment processes. Species such as Trichilia dregeana,
Combretum molle, and Jatropha curcas stood out, with significant potential for the production of
biodiesel, charcoal, and solid biomass. Despite spatial and laboratory limitations, the results obtained
confirm the technical viability of using forest biomass as a sustainable alternative for energy
diversification in Angola.
References
A review of methods.
Chave, J., et al. (2014). Improved allometric models to estimate
aboveground biomass of tropical trees.
Demirbas, A. (2009). Biofuels: Securing the Planet’s Future Energy
Needs.
FAO. (2020). Biomass Energy Data Book.
IPCC. (2006; 2019). Guidelines for National Greenhouse Gas
Inventories.
Pearson, T., et al. (2005). Methods for estimating biomass in tropical
forests.
Rosillo Calle, F., et al. (2015). The Biomass Assessment Handbook:
Energy for a Sustainable Environment.
Silva, A. M., & Santos, J. C. (2021). Estimativa de biomassa e
carbono em florestas tropicais: Métodos e aplicações. Revista
Brasileira de Engenharia Florestal.
