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Dynamic Analysis Methods and Modelling. Application to Energy Performance Assessment

机译:动态分析方法和建模。在能源绩效评估中的应用

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摘要

The application of system identification techniques to the energy performance assessment of buildings and building components requires a high level of knowledge of physical and mathematical processes. This factor, combined with the quality of the data, the description of the monitoring procedure and test environment, together with the experience of the user of the analysis software itself, can produce varying results from different users when applying different models and software packages. Past international system identification competitions (1994 and 1996) demonstrated the spread in results that can be expected regarding the application of different models and techniques to the same benchmark data. The PASL1NK network has attempted to consolidate and strengthen knowledge and expertise of system identification techniques within the grouping by organising lectures and workshops and also to ensure that data analysis meets minimum quality levels. This presentation highlights the milestones in the development of practical software tools, defining data series for training and selected practical case studies. As an example discussed will be the spread in results obtained during the previous competitions to that obtained during the recent workshops carried out by the PASLINK network, following ten years of networking activities in the field. The objective was to identify the extent to which these activities have strengthened the position of the individual teams working in the field and to identify the areas where quality assurance is met and where further improvements can be made. In order to maintain the quality in analysis and modelling work a third system identification competition has been organised.
机译:将系统识别技术应用于建筑物和建筑物组件的能源性能评估需要对物理和数学过程有很高的了解。这个因素,再加上数据的质量,监视程序和测试环境的描述以及分析软件本身用户的经验,在使用不同的模型和软件包时,可能会产生来自不同用户的不同结果。过去的国际系统识别竞赛(1994年和1996年)证明了在将不同的模型和技术应用于相同的基准数据时可以预期的结果范围。 PASL1NK网络已尝试通过组织讲座和讲习班来巩固和加强系统识别技术的知识和专长,并确保数据分析达到最低质量要求。本演讲重点介绍了实用软件工具的开发中的里程碑,定义了用于培训的数据系列以及选定的实际案例研究。例如,经过十年的现场网络活动之后,将讨论以前的比赛中获得的结果与最近通过PASLINK网络进行的研讨会中获得的结果之间的差异。目的是确定这些活动在多大程度上增强了在实地工作的各个团队的地位,并确定了达到质量保证并可以进一步改进的领域。为了保持分析和建模工作的质量,已组织了第三次系统识别竞赛。

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