Multiproduct biorefineries are promising industries to diversify
the economy of developing countries. This work proposes a sustainability
multidimensional optimization model for multiproduct biorefineries
to evaluate the technical, economic, environmental, and social viability
and support a multicriteria decision-making. The proposed model was
used to evaluate the implementation of new biorefineries in Guinea-Bissau
for bunches of fresh palm fruits (PF) and peeled castor seeds (CS)
processing into higher added value products. The PF products evaluated
in this study were crude oil, refined oil, stearin, and kernel oil,
while those of CS were crude oil, refined oil, and stearin. The installation
of seven biorefineries in Guinea-Bissau was defined to supply regional
markets with these products. Mathematical programming was implemented
from optimization models to maximize gross profit and job generation
and minimize the transported distances of raw materials and greenhouse
gas (GHG) emissions. The biorefineries were subject to water and energy
supply constraints, wastewater management, and raw material availability
and demand. The data were obtained from secondary sources and compiled
in Python programming language. To increase the robustness of the
model, an uncertainty evaluation was conducted using Monte Carlo simulation.
An availability of 3.66 × 105 ton a year of PF and
1.8 × 104 tons a year of CS was estimated in the base
scenario. The model solution indicated the quantity of each product
to be produced in the biorefineries to achieve a gross profit of 5.13
× 108 US$ in the base scenario, while it achieved
7.69 × 108 US$ in the optimized scenario for profit
maximization. GHG emissions in the base scenario were 1.75 ×
108 kg CO2eq, while these were 9.60 × 107 kg CO2eq in the optimized scenario. Job generation
was 1.24 × 105 in the base scenario and 1.80 ×
105 in the optimized scenario. There was a trade-off between
profit maximization and GHG emissions minimization. The profit maximization
increased GHG emissions by 150%, while by minimizing GHG emissions
the gross profit decreased by 63%. Carbon offsetting for partial (only
the additional emission) and total GHG emissions in the profit maximization
scenario was also simulated at 0.03 US$ (kg of CO2)−1 and 0.10 US$ (kg of CO2)−1, which indicated a gross profit increase up to 3.12%. In this regard,
it is feasible to offset the total GHG emissions to enable the profit
maximization in the evaluated biorefineries.