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Scalable methodology for large scale building energy improvement: Relevance of calibration in model-based retrofit analysis

机译:用于大规模建筑节能的可扩展方法:基于模型的改造分析中校准的相关性

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The increasing interest in retrofitting of existing buildings is motivated by the need to make a major contribution to enhancing building energy efficiency and reducing energy consumption and CO_2 emission by the built environment. This paper examines the relevance of calibration in model-based analysis to support decision-making for energy and carbon efficiency retrofits of individual buildings and portfolios of buildings. The authors formulate a set of real retrofit decision-making situations and evaluate the role of calibration by using a case study that compares predictions and decisions from an uncali-brated model with those of a calibrated model. The case study illustrates both the mechanics and outcomes of a practical alternative to the expert- and time-intense application of dynamic energy simulation models for large-scale retrofit decision-making under uncertainty.
机译:对改造现有建筑物的兴趣与日俱增,这是因为需要对提高建筑物的能效,减少建筑环境的能耗和CO_2排放做出重大贡献。本文研究了基于模型的分析中标定的相关性,以支持决策对单个建筑物和建筑物组合的能源和碳效率进行改造。这组作者制定了一组实际的改造决策情况,并通过案例研究将未校准模型的预测和决策与已校准模型的预测和决策进行了比较,从而评估了校准的作用。案例研究说明了动态方法仿真模型在不确定性下大规模改造决策的专家和时间密集型应用的实用替代方案的机制和结果。

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