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Revisiting Classic Energy Models for Evolutionary System Insights

机译:重新审视经典能源模型以了解进化系统

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This paper reports the results of a comparison of quantitative and qualitative approaches to systems analysis. The primary goal of the investigation was to test a heuristic for qualitative analysis previously proposed by the author that is intended to improve recognition of potential sources of failure for models used for forecasting. A series of papers published by John Sterman, George Richardson, and Pal Davidsen in the mid- to late-1980s examining resource estimation methods and the petroleum lifecycle were selected for analysis based on their completeness and perceived high quality of the models — both quantitative and qualitative. The quantitative results presented in those papers are compared to published data and some potential sources of deviation are identified. The paper then presents an analysis of the qualitative models contained in the papers, highlighting the differences in the nature of insights available from the qualitative and quantitative analyses and illustrating how this expanded logic for qualitative analysis may contribute to the formulation and bounding process for predictive system dynamic models.
机译:本文报告了系统分析的定量和定性方法的比较结果。该调查的主要目标是测试作者先前提出的定性分析的启发式方法,该方法旨在提高对用于预测模型的潜在故障源的识别。约翰·斯特曼(John Sterman),乔治·理查森(George Richardson)和帕尔·戴维森(Pal Davidsen)在1980年代中期至后期发表的一系列论文,根据模型的完备性和可感知的高质量模型,选择了资源估算方法和石油生命周期进行分析,包括定量模型和定量模型。定性的。将这些论文中给出的定量结果与已发表的数据进行比较,并确定一些潜在的偏差来源。然后,本文对论文中包含的定性模型进行了分析,强调了从定性和定量分析中得出的见解的本质差异,并说明了这种扩展的定性分析逻辑如何有助于预测系统的制定和界定过程动态模型。

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