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A case study exploring regulated energy use in domestic buildings using design- of-experiments and multi-objective optimisation

机译:通过实验设计和多目标优化探索住宅建筑中受控能源使用的案例研究

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摘要

The newly-released Standard Assessment Procedure (SAP) 2009 [1] underpins all energy calculations for Building Regulations compliance and Code for Sustainable Homes ratings for domestic buildings in the UK. A newly-developed three-stage optimisation framework is applied to the outputs of SAP for a case study concerning a 2-bed mid-level flat. Firstly a comprehensive full-factorial Design-of-Experiments analysis is performed to determine the significance of each input to the outputs of SAP (carbon emissions, running costs and overheating risk). This allows many of the inputs to be disregarded as non-significant. Next a multi-objective optimisation algorithm is applied to all significant variables to simultaneously optimise regulated carbon emissions versus capital and running costs, constrained by limits on overheating and roof area. Finally a more detailed multi-objective optimisation using greater precision is conducted on all variables that exhibit complex behaviour, i.e. which do not take a single value for all optimum solutions. Information is obtained concerning parameter significance and optimal parameter settings, which is presented as graphical design guidance using the process of 'innovisation'. This will assist engineers in achieving high-performing, cost-effective designs.
机译:最新发布的2009年标准评估程序(SAP)[1]为英国建筑法规的合规性和英国住宅建筑的可持续房屋规范评级的所有能源计算奠定了基础。将一个新开发的三阶段优化框架应用于SAP的输出,以进行有关2床中层公寓的案例研究。首先,进行全面的全要素实验设计分析,以确定每个输入对SAP输出的重要性(碳排放,运行成本和过热风险)。这使得许多输入可以忽略不计。接下来,将多目标优化算法应用于所有重要变量,以同时优化受监管的碳排放量以及资本和运营成本,并限制过热和屋顶面积。最后,对表现出复杂行为的所有变量(即,对于所有最优解都没有一个单一值)进行更详细的多目标优化,使用更高的精度。获得有关参数重要性和最佳参数设置的信息,这些信息通过“创新”过程作为图形设计指南呈现。这将有助于工程师实现高性能,高性价比的设计。

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