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Computer simulation of gas generation and transport in landfills. III: Development of lanfills' optimal model

机译:垃圾填埋场气体产生和运输的计算机模拟。三:垃圾填埋场优化模型的发展

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In Parts I and II of this series a 3D model was developed for transport and reaction of gaseous mixtures in landfills, and was utilized, through computer simulations, to investigate the effect of various factors on the gases' concentrations and the landfill's total pressure, under quasi-steady state and dynamic conditions. A fundamental problem with modelling of landfills is the severe shortage of publicly available experimental data for their static and dynamical properties, which hinders the development of accurate models for them. In the present paper we address this problem by formulating it as one of optimization, whereby the optimal spatial distributions of the porosity, permeability, tortuosity factor, and the total potential of various types of wastes for producing the gases in a landfill are determined, given some limited experimental data for a property of the landfill, such as the amount of methane which is extracted from it over a period of time. The numerical simulator developed previously is coupled to the Genetic algorithm in order to optimize the parameter space that characterizes the landfill's morphology and the reaction properties of the wastes. Since the parameter space can be very large, containing thousands of parameters to be optimized, we utilize massively parallel computations with message-passing interface technique in order to develop the optimal model. It is shown that, not only does the optimization technique reproduce accurately the data based on which the optimal model is developed, but also provides accurate predictions for the future behavior of the landfill's properties. (c) 2007 Elsevier Ltd. All rights reserved.
机译:在该系列的第I部分和第II部分中,开发了3D模型用于垃圾填埋场中气态混合物的运输和反应,并通过计算机模拟,利用3D模型研究了各种因素对气体浓度和垃圾填埋场总压力的影响。准稳态和动态条件。垃圾填埋场建模的一个基本问题是其静态和动态特性严重缺乏可公开获得的实验数据,这阻碍了针对其的精确模型的开发。在本文中,我们通过将其作为优化之一来解决此问题,从而确定了在填埋场中产生气体的各种类型的废物的孔隙率,渗透率,曲折因子和总潜力的最佳空间分布,一些有关垃圾填埋场性质的有限实验数据,例如一段时间内从垃圾填埋场提取的甲烷量。先前开发的数值模拟器已与遗传算法耦合,以优化表征垃圾填埋场形态和废物反应特性的参数空间。由于参数空间可能非常大,其中包含要优化的数千个参数,因此我们利用消息传递接口技术利用大规模并行计算来开发最佳模型。结果表明,优化技术不仅可以准确地复制基于优化模型而开发的数据,而且可以为垃圾填埋场的未来性能提供准确的预测。 (c)2007 Elsevier Ltd.保留所有权利。

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