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Development of an integrated tactical and operational planning model for supply of feedstock to a commercial-scale bioethanol plant

机译:开发用于商业规模生物乙醇植物的原料供应综合战术和运营规划模型

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In this paper, a new modeling approach is proposed to integrate the tactical and operational planning levels in the biomass supply chain. The proposed approach includes an optimization model and a simulation model. The integration is made between these models (i) to assure the fulfillment of the daily biomass demand year-round for a commercial-scale cellulosic ethanol plant and (ii) to reduce biomass delivery costs. The optimization model prescribes the design of the supply area in a way that the annual biomass demand is met at a minimum delivery cost for a five-year planning horizon. Given the design of the supply area, the simulation model schedules the flow of multi-biomass in the supply chain to meet the daily biomass demand of the ethanol plant subject to the dynamics and uncertainties in the supply chain. If the daily demand cannot be met, the outputs of the simulation model are used to adjust the design in the optimization model to assure the fulfillment of the daily demand. The application of the integrated model to a proposed commercial-sized bioethanol plant shows the efficiency of the integrated approach to design the supply area in a way that the daily biomass demand is met at the minimum delivery cost possible. The results of the sensitivity analysis reveal that the most influential parameter on the design is biomass yield. In addition, bale bulk density, in-farm and road transportation operations, and farmer participation rates have the highest impact on delivery cost compared to other input parameters. (c) 2013 Society of Chemical Industry and John Wiley & Sons, Ltd
机译:本文提出了一种新的建模方法,以整合生物质供应链中的战术和运营规划水平。所提出的方法包括优化模型和模拟模型。在这些模型(i)之间进行整合,以确保全年为商业规模纤维素乙醇植物和(ii)全年满足日常生物质需求,以降低生物质输送成本。优化模型规定了供应领域的设计,以便为五年规划地平线的最低交付成本满足年度生物量需求。鉴于供应区的设计,仿真模型调度供应链中的多生物质流动,以满足乙醇工厂的日常生物调查,这对供应链中的动力学和不确定性受到影响。如果无法满足日常需求,模拟模型的输出用于调整优化模型中的设计,以确保每日需求的实现。综合模型将综合模型应用于提出的商业大小的生物乙醇工厂,展示了综合方法设计供应区域的效率,以便在最低送货成本下满足日常生物量需求。敏感性分析的结果表明,设计上最具影响力的参数是生物质产量。此外,与其他输入参数相比,大包散装密度,农场和道路运输业务以及农民参与率对交付成本的影响最高。 (c)2013化学工业协会和约翰瓦利和儿子有限公司

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