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支持专用生物质基生物能源产业物流系统设计的挑战和模式。

Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry.

机构信息

Department of Industrial and Information Engineering, University of Tennessee, Knoxville, TN 37996, USA.

出版信息

Bioresour Technol. 2011 Jan;102(2):1344-51. doi: 10.1016/j.biortech.2010.08.122. Epub 2010 Sep 6.

Abstract

This paper analyzed the uniqueness and challenges in designing the logistics system for dedicated biomass-to-bioenergy industry, which differs from the other industries, due to the unique features of dedicated biomass (e.g., switchgrass) including its low bulk density, restrictions on harvesting season and frequency, content variation with time and circumambient conditions, weather effects, scattered distribution over a wide geographical area, and so on. To design it, this paper proposed a mixed integer linear programming model. It covered from planting and harvesting switchgrass to delivering to a biorefinery and included the residue handling, concentrating on integrating strategic decisions on the supply chain design and tactical decisions on the annual operation schedules. The present numerical examples verified the model and demonstrated its use in practice. This paper showed that the operations of the logistics system were significantly different for harvesting and non-harvesting seasons, and that under the well-designed biomass logistics system, the mass production with a steady and sufficient supply of biomass can increase the unit profit of bioenergy. The analytical model and practical methodology proposed in this paper will help realize the commercial production in biomass-to-bioenergy industry.

摘要

本文分析了专门生物质(如柳枝稷)的独特特征(例如,低堆积密度、收获季节和频率的限制、随时间和周围环境变化的含量变化、天气影响、广泛地理区域内的分散分布等)对专门生物质能产业物流系统设计的独特性和挑战。为了设计该物流系统,本文提出了一个混合整数线性规划模型。它涵盖了从种植和收获柳枝稷到将其运送到生物炼制厂以及处理残留物,侧重于整合供应链设计的战略决策和年度运营计划的战术决策。目前的数值示例验证了模型,并展示了其在实践中的应用。本文表明,物流系统的运营在收获季节和非收获季节有显著差异,并且在设计良好的生物质物流系统下,大规模生产和稳定充足的生物质供应可以提高生物能源的单位利润。本文提出的分析模型和实用方法将有助于实现生物质能产业的商业化生产。

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