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Urban models enrichment for energy applications: Challenges in energy simulation using different data sources for building age information

机译:能源应用的城市模型富集:使用不同数据来源进行能源模拟中的挑战,用于建立年龄信息

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摘要

3D city models are increasingly used for heating demand analyses at urban scale. Many studies have been done for standardization of required attribute data for energy analysis of buildings. The U-values which can be derived from the building age are one of the main influencing attributes for heat demand modelling. The question remains how building age can be provided. Often, the information on the year of construction of each building is not accessible. On the other hand, statistics about building ages are often available on an aggregated level. This paper compares data provided by municipalities to two statistical data sources: Census 2011 data on municipality level and country-wide statistics for Germany. The result shows building age distribution presented by the census leads to an acceptable total heat demand prediction compared with the results based on the data from the municipality. Therefore, the decisionmaking at urban level can rely on census data if more detailed information is unavailable or inaccessible. Moreover, the role of refurbishment data is discussed in the paper. Finally, it is recommended to standardise census data for different applications. For energy application, distribution of building age over living area is more demanded than over the number of buildings.
机译:3D城市模型越来越多地用于城市规模的加热需求分析。已经进行了许多研究,用于标准化建筑物能量分析所需属性数据。可以从建筑物年龄衍生的U值是热需求建模的主要影响属性之一。问题仍然是如何提供建立年龄的问题。通常,关于每个建筑的建设年份的信息无法访问。另一方面,建筑年龄的统计数据通常在汇总级别提供。本文将城市提供的数据与两个统计数据来源进行比较:2011年人口普查数据和德国的全国统计数据。结果表明,人口普查呈现的建筑年龄分布导致可接受的总热需求预测与基于市政府的数据相比。因此,如果更详细的信息不可用或无法访问,都可以依赖于城市级别的决策。此外,纸张中讨论了翻新数据的作用。最后,建议将人口普查数据标准化为不同的应用程序。对于能源应用,生活区的建筑年龄的分布比在建筑物数量上更有要求。

著录项

  • 来源
    《Energy》 |2020年第1期|116292.1-116292.14|共14页
  • 作者单位

    Research Center for Sustainable Energy Technologies (zafh.net). University of Applied Sciences HFT Stuttgart Germany;

    Research Center for Sustainable Energy Technologies (zafh.net). University of Applied Sciences HFT Stuttgart Germany;

    Faculty Electrical Engineering & Computer Science Aalen University of Applied Sciences Germany;

    Research Center for Sustainable Energy Technologies (zafh.net). University of Applied Sciences HFT Stuttgart Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    3D city model; Year of construction; Census data; Urban heating demand estimation;

    机译:3D城市模型;建筑年;人口普查数据;城市供暖需求估算;

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