Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)

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Implementation path in data collection and analysis of low carbon fresh air system

Authors
Wen Lü1, Xuedong Qian1, Wenbin Zhao2, Binxia Yuan2, Yuan Chai2, *
1State Grid East China Branch, Shanghai, China
2Shanghai University of Electric Power, Shanghai, China
*Corresponding author. Email: chaiyuan@shiep.edu.cn
Corresponding Author
Yuan Chai
Available Online 14 May 2024.
DOI
10.2991/978-94-6463-415-0_30How to use a DOI?
Keywords
Low-carbon fresh air system; Proportional integral differential control; Response surface method; Multi objective optimization particle swarm optimization algorithm; TELDOAS; Liquid desiccant air conditioning system
Abstract

Low carbon energy conservation in the fresh air system is an important way to achieve China's carbon peak and carbon neutrality goals, which is also important to the collection and analysis of energy data. Therefore, this research studied the current research status and the path of low-carbon fresh air systems at home and abroad, investigating the coupling simulation of EnegyPlus and GenOpt software, and considering the use of particle swarm optimization algorithm to optimize and tune the temperature control model. A ventilation system called TELDOAS based on LD abroad can effectively recover waste heat from fuel cells, thereby reducing performance. Through research on the current situation, it is possible to effectively apply low-carbon fresh air systems to practical production. The fresh air system has broad prospects in terms of the increasing awareness of health, demand for energy efficiency and environmental protection, building standards requirements, and technological innovations. With the growing emphasis on indoor environmental quality and the need for sustainable development, the application of fresh air systems will continue to expand.

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 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
14 May 2024
ISBN
10.2991/978-94-6463-415-0_30
ISSN
2589-4943
DOI
10.2991/978-94-6463-415-0_30How 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

risenwbib
TY  - CONF
AU  - Wen Lü
AU  - Xuedong Qian
AU  - Wenbin Zhao
AU  - Binxia Yuan
AU  - Yuan Chai
PY  - 2024
DA  - 2024/05/14
TI  - Implementation path in data collection and analysis of low carbon fresh air system
BT  - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
PB  - Atlantis Press
SP  - 292
EP  - 298
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-415-0_30
DO  - 10.2991/978-94-6463-415-0_30
ID  - Lü2024
ER  -