A comparison of performance of three variance-based sensitivity analysis methods on an urban-scale building energy model
A comparison of performance of three variance-based sensitivity analysis methods on an urban-scale building energy model
复制标题
城市规模建筑能源模型上三种基于方差的敏感性分析方法的性能比较
DOI：
10.26868/25222708.2021.30959
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
P. Ruyssevelt
中科院分区：
文献类型：
--
作者：
Pamela Jane Fennell;I. Korolija;P. Ruyssevelt
模拟复杂的城市环境所需的大量不同输入使得不可能精确量化所有输入，并且必须简化模型中的复杂能量流以实现易于处理的解决方案。因此，这些模型的输出不可避免地有很大的变化范围。如果不理解这些推论的局限性，那么由此产生的政策建议就有内在的缺陷。不确定性分析（UA）和敏感性分析（SA）提供了必要的工具，以确定模型的推断范围，并探索对模型输出影响最大的因素。尽管一个完善的机构的工作，适用于UA和SA模型的个别建筑物，非常有限的工作已经完成，将这些工具应用到城市规模的模型。本研究提出了一个系统的比较范围内的三种不同的方差为基础的SA方法的高分辨率，动态热模拟的混合使用的邻居在北伦敦。每个SA方法的应用的准确性，处理时间和复杂性进行评估，以提供指导，这些方法可以通知其他城市和大型建筑物的能源模型的应用。
The vast number of different inputs required to model a complex urban environment makes it impossible to precisely quantify all inputs and complex energy flows within models must be simplified to achieve tractable solutions. As a result, the outputs of these models inevitably have a significant range of variation. Without understanding these limits of inference resulting policy advice is inherently defective. Uncertainty Analysis (UA) and Sensitivity Analysis (SA) offer essential tools to determine the limits of inference of a model and explore the factors which have the most effect on the model outputs. Despite a well-established body of work applying UA and SA to models of individual buildings, very limited work has been done to apply these tools to urban scale models. This study presents a systematic comparison of a range of three different variance-based SA methods to a high resolution, dynamic thermal simulation of a mixed-use neighbourhood in North London. Accuracy, processing time and complexity of application of each SA method is evaluated to provide guidance which can inform the application of these methods to other urban and large-scale building energy models.
建筑能量模型中不确定性和敏感性分析的现状综述
DOI：
--
发表时间：
2020
期刊：
--
影响因子：
--
作者：
Fennell PJ
通讯作者：
Fennell PJ
DOI：
10.1016/j.envsoft.2011.04.005
发表时间：
2011-10
期刊：
Environ. Model. Softw.
影响因子：
--
作者：
V. Cheng;K. Steemers
通讯作者：
V. Cheng;K. Steemers