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Multi-objective optimization of the Brazilian industrial sugarcane scenario: a profitable and ecological approach
Clean Technologies and Environmental Policy ( IF 4.3 ) Pub Date : 2020-01-01 , DOI: 10.1007/s10098-019-01802-0
Diogo H. Macowski , Lucas Bonfim-Rocha , Rodrigo Orgeda , Rodrigo Camilo , Mauro A. S. S. Ravagnani

Abstract

Sugarcane can play an important role in helping to solve many of the economic and environmental challenges as it has the potential of creating jobs, lowering carbon dioxide emissions, enhancing energy security, and reducing global dependence on fossil fuels. This paper presents a mathematical approach to optimize the Brazilian supply chain (SC) of sugar and bioethanol, using sugarcane as raw material. SC management of sugarcane-based products can be treated as a bi-objective optimization problem with a MILP formulation, in order to find solutions to balance economic profits and environmental damage. A mathematical model is developed and implemented in GAMS, comparing seven different production technologies. The results indicate a set of optimal SC possibilities for the Brazilian scenario and that both quantities and selection of technologies indicated by Pareto optimal solutions are distinguished, outlining three different configurations: environmental, economic, and a balanced scenario. The distribution of technologies in each of the Brazilian regions is presented in these three distinct scenarios indicating that, to approximate the current chain to a balanced solution, it is necessary to migrate technological plants of only sugar products to mixed products technologies (i.e., sugar and bioethanol) and to complement bioethanol production with autonomous distilleries, especially of anhydrous bioethanol production. In this scenario, governmental authorities, sector investors, and decision-makers can plan the implementation of new plants based on the recommendations of this study.

Graphic abstract



中文翻译:

巴西工业甘蔗生产情景的多目标优化:一种有利可图的生态方法

摘要

甘蔗在帮助解决许多经济和环境挑战方面可以发挥重要作用,因为它具有创造就业机会,减少二氧化碳排放,增强能源安全以及减少全球对化石燃料的依赖的潜力。本文提出了一种以甘蔗为原料优化巴西糖和生物乙醇供应链(SC)的数学方法。可以将基于甘蔗的产品的SC管理视为具有MILP公式的双目标优化问题,以便找到解决方案来平衡经济利润和环境破坏。通过比较七种不同的生产技术,在GAMS中开发和实施了数学模型。结果表明,针对巴西情景的一组最佳SC可能性,并且区分了帕累托最佳解决方案指示的技术数量和技术选择,概述了三种不同的配置:环境,经济和平衡情景。在这三种不同的情况下,介绍了巴西每个地区的技术分布情况,这表明,要使当前链近似于平衡解决方案,有必要将仅糖产品的技术工厂迁移到混合产品技术(例如,糖和生物乙醇),并通过自治蒸馏厂来补充生物乙醇生产,特别是无水生物乙醇生产。在这种情况下,政府机构,部门投资者,

图形摘要

更新日期:2020-04-20
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