Multiobjective optimization of economic balances of sugarcane harvest biomass

Scientia Agricola

Helenice De Oliveira Florentino²  Edmundo Vergara Moreno¹  Maria Márcia Pereira Sartori¹ 

[1] ,UNESP IB Depto. de BioestatísticaBotucatu SP ,Brasil

关键词: mathematical model;    residual biomass;    sugarcane;    0-1 multiple objective linear programming;    modelo matemático;    biomassa residual;    cana-de-açúcar;    programação linear multiobjetivo 0-1;   

DOI  :  10.1590/S0103-90162008000500018

来源: SciELO

【 摘 要 】

The fact that Brazil is the world's largest sugarcane (Saccharum spp.) producer, leads to a great concern about the cropping systems used, since the most common practice involves manual harvesting prior to straw burning. Brazilian authorities approved a law prohibiting the burning practice of crop residues prior to harvest. However mechanized harvest creates the new problem of how to deal with the residues. Many studies have proposed the use of these residues as an energy source. The major difficulty in its use is how to economically transport sugarcane harvested biomass from the farm to a processing center. The aim of this work was to develop a model to optimize plant variety selection, minimize the cost of the residual biomass transfer process, to evaluate the economics of using this material, and to address sucrose production and planting area constraints, considering distances from plot to processing center. For this 0-1 multiple objective linear programming techniques were used. The results show the viability of the model in selecting varieties, which provide increased profit from residual biomass use.

【 授权许可】

CC BY   
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