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Modelling The Landfill Process Using Gassim2

机译:使用Gassim2对垃圾填埋过程进行建模

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摘要

The prediction of landfill gas generation is an important exercise for both operators and regulators of landfill sites.The GasSim2 model,developed for this purpose by Golder Associates (UK) Ltd on behalf of the Environment Agency,is used to predict gas generation and subsequent emissions to air and land in order to assess whether emissions exceed acceptable limits.A number of other models for the prediction of landfill processes exist,and they have evolved significantly over the last decade.In order to compare individual models' strengths and weaknesses and therefore enable further development,a formal framework was designed by researchers at Southampton University.A challenge was set to modellers to predict the performance of a laboratory experiment on biodegradable waste.The data provided,including waste composition,cellulose and hemicellulose content,leachate recirculation and experimental layout,were manipulated to fit into GasSim2.A number of difficulties were experienced in modelling,including scaling the laboratory experiment to the required scale of the model,categorisation of the waste stream and the length of the model timestep.Model results indicate a potential for gas production of 17·7-47·6 m~3/t dry waste per year initially,decreasing over time.
机译:垃圾填埋气产生量的预测对于填埋场的运营者和监管者来说都是一项重要的工作。由Golder Associates(UK)Ltd代表环境局开发的GasSim2模型用于预测气体产生量和后续排放量为了评估排放量是否超过可接受的限值。存在许多其他模型来预测垃圾掩埋过程,并且在过去十年中它们已经发生了显着变化。为了比较各个模型的优缺点,因此可以进一步的发展,由南安普敦大学的研究人员设计了一个正式的框架。建模人员面临挑战,以预测生物可降解废物的实验室实验的性能。所提供的数据包括废物成分,纤维素和半纤维素含量,渗滤液再循环和实验布置被操纵以适合GasSim2。模型遇到了许多困难包括将实验室实验扩展到所需的模型规模,废物流的分类和模型时间步长。模型结果表明,潜在的产气量为17·7-47·6 m〜3 / t干最初每年浪费,随着时间的流逝而减少。

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