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Finding the 'optimal' size and location of treatment plants for a Jatropha oil plantation project in Thailand

机译:在泰国寻找泰国麻风树油种植园项目的“最佳”尺寸和位置

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Curcas Energy is developing a sustainable energy project in Thailand to produce Jatropha oil as a biological source of diesel fuel. The company is providing Jatropha seeds and advice to smallholder farmers. The crop is being grown as hedgerows on otherwise unused land. The nuts will be transported from widely distributed collection points to central plants where the oil will be extracted. The extraction plants can be any integer multiple of a basic unit, with larger plants having advantages of scale that have to be weighed against the lesser transport costs to smaller more widely distributed treatment plants. This paper describes a modelling tool, developed in Excel, which enables planners to compare the costs and benefits of alternative plant locations and sizes. The collection point locations and estimated production rates are entered into the model, together with potential treatment plant locations, costs and capacities, and transport costs per kilometre. The model computes the preferred plant destination for each collection point, after taking into account production rates and treatment capacities, and plots a map of all the collection points and plants, colour coded to indicate the destination plants for each collection point. The planner can iteratively adjust the plant locations, capacities and costs to explore the wide range of suggested alternatives to be considered.
机译:Curcas Energy正在泰国开发一种可持续的能源项目,以生产Jatropha油作为柴油燃料的生物来源。该公司正在向小农农民提供麻风树种子和建议。在否则未使用的土地上,作物正在被落后。螺母将从广泛分布的收集点运输到其中提取油的中央植物。提取厂可以是基本单元的任何整数倍数,具有较大的植物具有规模的优点,必须对较小的运输成本进行称重,以更小的分布处理厂。本文介绍了一种在Excel中开发的建模工具,使规划人员能够比较替代工厂位置和尺寸的成本和益处。收集点位置和估计的生产率被进入模型,以及潜在的处理设备位置,成本和能力,每公里的运输成本。该模型计算每个收集点的首选植物目的地,考虑生产率和处理能力后,并绘制所有收集点和植物的地图,编码为每个收集点指示目的地设备。该计划者可以迭代地调整工厂位置,容量和成本,以探索各种建议的替代方案。

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