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A model for the location and scheduling of the operation of second-generation ethanol biorefineries
Journal of Mathematics in Industry Pub Date : 2019-04-12 , DOI: 10.1186/s13362-019-0060-0
Gilberto Pérez-Lechuga , Silvia L. Aguilar-Velázquez , Miguel A. Cisneros-López , Francisco Venegas Martínez

This document presents an economic optimization model which identifies the location, the nominal plant capacity and the operation scheduling for set of biorefineries of second-generation ethanol using the biomass obtained as waste in the sugarcane industry. The model also determines the gasoline volumes that will be mixed with ethanol in order to produce a mixed fuel. Given a planning horizon of the operation of the system, the model obtains its optimal parameters at fixed time intervals (annual) so the global optimum is obtained by minimizing the mathematical expectation of the stochastic process generated when the product demand is assumed random with known density. Partial optimization of the process is achieved using a mixed integer linear programming model. Real information obtained from the Secretariat of Energy for the management of biorefineries in the state of Veracruz of the Mexican Republic is included and numerical results are reported.

中文翻译:

第二代乙醇生物精炼厂的选址和调度模型

该文件提出了一种经济优化模型,该模型使用甘蔗工业中作为废物获得的生物质来确定第二代乙醇生物精炼厂的位置,标称工厂产能和运行时间表。该模型还确定了将与乙醇混合以产生混合燃料的汽油量。给定系统运行的规划视野,该模型以固定的时间间隔(每年)获取其最佳参数,因此,通过最小化当假定产品需求被假定为随机且已知密度时所产生的随机过程的数学期望,从而获得全局最优。使用混合整数线性规划模型可实现过程的部分优化。
更新日期:2019-04-12
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