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Fire Risk Reduction and Recover Energy Potential: A Disruptive Theoretical Optimization Model to the Residual Biomass Supply Chain
Publication . Bastos, Tiago; Teixeira, Leonor; Nunes, Leonel J. R.
Rural fires have been a constant concern, with most being associated with land abandon-
ment. However, some fires occur due to negligent attitudes towards fire, which is often used to
remove agroforestry leftovers. In addition to the fire risk, this burning also represents a waste of the
energy present in this residual biomass. Both rural fires and energy waste affect the three dimensions
of sustainability. The ideal solution seems to be to use this biomass, avoiding the need for burning
and recovering the energy potential. However, this process is strongly affected by logistical costs,
making this recovery unfeasible. In this context, this study aims to propose an optimization model
for this chain, focusing on the three dimensions of sustainability. The results of the present study
comprise a summary of the current state of the art in supply-chain optimization, as well as a disrup-
tive mathematical model to optimize the residual biomass supply chain. To achieve this objective,
a literature review was carried out in the first phase, incorporating the specificities of the context
under study to arrive at the final model. To conclude, this study provides a review covering several
metaheuristics, including ant colony optimization, genetic algorithms, particle swarm optimization,
and simulated annealing, which can be used in this context, adding another valuable input to the
final discussion.
An integrated PROMETHEE II-Roadmap model: Application to the recovery of residual agroforestry biomass in Portugal
Publication . Alves, Adriana S.F.; Nunes, Leonel J.R.; Matias, João C.O.; Espadinha-Cruz, P.; Godina, Radu
Rural fires are currently one of the main global disasters, and Portugal is among the countries that have suffered
from them for decades. These fires pose economic, environmental, and social threats to the country. A primary
cause of rural fires is the burning of biomass to clear agroforestry residues. Thus, combating rural fires requires
more effective forest management, particularly the removal of forest residues that serve as fuel. These residues,
also known as biomass, have significant potential for energy production and biofuel use. This paper proposes a
model that integrates the PROMETHEE decision-making method with the roadmapping. This proposed model
includes 7 steps, including the planning of the roadmap, the definition of the decision problem, gathering in-
formation and building the roadmap. The proposed model was applied to develop a roadmap proposal for the
recovery of surplus agroforestry biomass in Portugal, identifying the most emerging conversion technologies in
the national context. With the roadmap developed, it was possible to understand that the recovery of surplus
agroforestry biomass in Portugal involves several sectors. The energy sector is one of those that can benefit from
the recovery of leftover agroforestry biomass, both from the point of view of carbon neutrality and energy in-
dependence. Forestry management is another of the great advantages of recovering leftover forestry biomass and,
consequently, reducing the number of fires. In the context of recovery, combustion is the most widely used
technology for producing energy or heat. The technology identified as most emerging in the upcoming years is
gasification. Investment in scientific research is essential for the success of this sector, as is the development of
public incentive policies and more engagement from all stakeholders. This paper conclude that valorizing
agroforestry residues can reduce rural fire risks while promoting energy independence, sustainable regional
development, and innovation in Portugal.
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Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2019
Número da atribuição
PCIF/GVB/0083/2019