Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)

Research on Analysis and Performance Optimization of Green Building Design Fundamentals Based on Big Data Technology

Authors
Yuchen Xue1, *
1China Architecture Design and Research Group, Beijing, China
*Corresponding author. Email: xueyuchen1129@126.com
Corresponding Author
Yuchen Xue
Available Online 17 September 2024.
DOI
10.2991/978-94-6463-516-4_4How to use a DOI?
Keywords
Green Building; Design Basics; Performance Optimisation Research; Big Data Technology
Abstract

This paper presents a comprehensive study and analysis of building energy efficiency design in the context of advocating the development of green buildings. The following research is not just the development of green building design, but through the comprehensive application of big data to carry out a combination of research. The development of green building is the key to achieving sustainable development of buildings. Green building design in different regions should follow the concepts of adapting to local conditions, drawing on the essence of traditional architectural culture, and embodying a healthy and natural attitude towards life. Planning, design, environmental configuration and other architectural practices should be used to improve and create a comfortable living environment, so that architecture can effectively become a filter and regulator of the environment and create a healthy and comfortable living environment. Under the support and guidance of the United Nations’ sustainable development goals, the development of green building has become the key target and development of today’s development. Under the support of the comprehensive development goals and development concepts, the research in this paper is particularly important, and also has great research significance in promoting the sustainable development of green buildings.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
Series
Advances in Engineering Research
Publication Date
17 September 2024
ISBN
978-94-6463-516-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-516-4_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yuchen Xue
PY  - 2024
DA  - 2024/09/17
TI  - Research on Analysis and Performance Optimization of Green Building Design Fundamentals Based on Big Data Technology
BT  - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
PB  - Atlantis Press
SP  - 28
EP  - 35
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-516-4_4
DO  - 10.2991/978-94-6463-516-4_4
ID  - Xue2024
ER  -