Modelling platform for schools (MPS): The development of an automated One-By-One framework for the generation of dynamic thermal simulation models of schools

Modelling platform for schools (MPS): The development of an automated One-By-One framework for the generation of dynamic thermal simulation models of schools
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学校建模平台 (MPS):开发用于生成学校动态热模拟模型的自动化一对一框架

DOI:
10.1016/j.enbuild.2021.111566
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发表时间:
2022
影响因子:
6.7
通讯作者:
Schwartz Y
Schwartz Y
中科院分区:
工程技术2区
文献类型:
--
作者:
Schwartz Y

文献摘要

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英国政府最近承诺到2050年实现净零碳状态。学校占英国总能源消耗的2%左右,占英国公共部门碳排放的15%左右。对英国学校建筑存量的详细分析可以帮助政策制定者提高其能源效率和室内环境质量。建筑存量建模是一种常用的技术,用于量化大量邻近、城市、地区或国家层面的建筑当前和未来的能源需求或室内环境质量表现。“逐栋建筑”建筑模型是一种建模技术,通过对库存中的单个建筑进行建模和模拟,并在库存水平上对性能结果进行汇总和分析。本文介绍了学校建模平台(MPS)的开发--通过分析和集成一系列数据(校舍内的几何、大小、建筑数量等),自动生成英格兰学校的逐个热力模型。从多个数据库和工具(EduBase/获取有关学校的信息、财产数据调查计划、地形调查和其他)。模型评估显示,在15,245所已有足够数据的学校中,近50%可以自动建模,并与实际建筑具有高度相似的置信度。自动生成的模型与实际建筑物的视觉比较表明,大约70%的模型确实在几何上是准确的。
The UK Government has recently committed to achieve net zero carbon status by year 2050. Schools are responsible for around 2% of the UK’s total energy consumption, and around 15% of the UK public sector’s carbon emissions. A detailed analysis of the English school building stock’s performance can help policymakers improve its energy efficiency and indoor environmental quality.Building stock modelling is a technique commonly used to quantify current and future energy demand or indoor environmental quality performance of large numbers of buildings at the neighbourhood, city, regional or national level. ‘Building-by-building’ stock modelling is a modelling technique whereby individual buildings within the stock are modelled and simulated, and performance results are aggregated and analysed at stock level.This paper presents the development of the Modelling Platform for Schools (MPS) – an automated generation of one-by-one thermal models of schools in England through the analysis and integration of a range of data (geometry, size, number of buildings within a school premises etc.) from multiple databases and tools (Edubase/Get Information About Schools, Property Data Survey Programme, Ordanance Survey and others). The study then presents an initial assessment and evaluation of the modelling procedure of the proposed platform.The model evaluation has shown that out of 15,245 schools for which sufficient data were available, nearly 50% can be modelled in an automated manner having a high level of confidence of similarity with the actual buildings. Visual comparison between automatically-generated models and actual buildings has shown that around 70% of the models were, indeed, geometrically accurate.