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基于 WOS 数据库的 BIM 降低建筑能耗的研究进展、热点和趋势:可视化分析

Research Progress, Hotspots, and Trends of Using BIM to Reduce Building Energy Consumption: Visual Analysis Based on WOS Database.

机构信息

School of Civil Engineering, Suzhou University of Science and Technology, No. 1 Kerui Rd., New District, Suzhou 215000, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 9;20(4):3083. doi: 10.3390/ijerph20043083.

DOI:10.3390/ijerph20043083
PMID:36833778
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9959796/
Abstract

With the development of engineering technology, building information modeling (BIM) has attracted more and more attention and has been studied by many experts on building energy consumption in recent years. It is necessary to analyze and forecast the application trend and prospect of BIM technology in building energy consumption. Based on 377 articles published in the WOS database, this study adopts the technique of combining scientometrics and bibliometrics to obtain relevant research hotspots and quantitative analysis results. The findings demonstrate that the building energy consumption field has made extensive use of BIM technology. However, there are still some limitations that can be improved, and the use of BIM technology in construction renovation projects should be emphasized. This study can help readers better understand the application status of BIM technology and its trajectory of development with regard to building energy consumption, providing a valuable reference for future research.

摘要

随着工程技术的发展,建筑信息模型(BIM)越来越受到关注,近年来已被许多建筑能耗专家研究。有必要对 BIM 技术在建筑能耗中的应用趋势和前景进行分析和预测。本研究基于 WOS 数据库中发表的 377 篇文章,采用科学计量学和文献计量学相结合的技术,获取相关研究热点和定量分析结果。研究结果表明,建筑能耗领域广泛应用了 BIM 技术。然而,仍存在一些可以改进的局限性,应该强调在建筑改造项目中使用 BIM 技术。本研究可以帮助读者更好地了解 BIM 技术在建筑能耗方面的应用现状及其发展轨迹,为未来的研究提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/5b06020cb436/ijerph-20-03083-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/0fbc649acca6/ijerph-20-03083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/e1b5804a4f7e/ijerph-20-03083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/9b2ca1ceab30/ijerph-20-03083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/bd401923fdd2/ijerph-20-03083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/06d85ca93a19/ijerph-20-03083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/38442f047bd1/ijerph-20-03083-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/c005889a5e13/ijerph-20-03083-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/47e638ac84b4/ijerph-20-03083-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/26b98edc6483/ijerph-20-03083-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/5b06020cb436/ijerph-20-03083-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/0fbc649acca6/ijerph-20-03083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/e1b5804a4f7e/ijerph-20-03083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/9b2ca1ceab30/ijerph-20-03083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/bd401923fdd2/ijerph-20-03083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/06d85ca93a19/ijerph-20-03083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/38442f047bd1/ijerph-20-03083-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/c005889a5e13/ijerph-20-03083-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/47e638ac84b4/ijerph-20-03083-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/26b98edc6483/ijerph-20-03083-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bc/9959796/5b06020cb436/ijerph-20-03083-g010.jpg

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