OUTDOOR DESIGN PM2.5 CONCENTRATION METHOD FOR FRESH AIR SYSTEMS BASED ON DUAL-CARBON TARGET A Case Study of Urban Economic Regions from China

被引:1
|
作者
Wei, Yanmin [1 ,2 ]
Huang, Xin [1 ]
Hou, Zirui [3 ]
Zhang, Xin [2 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Resources Engn, Xian, Peoples R China
[3] Xian Univ Architecture & Technol, Coll Architecture, Xian, Peoples R China
来源
THERMAL SCIENCE | 2024年 / 28卷 / 04期
关键词
mathematical induction; economic regions; PM2.5; 2.5; fresh air systems; selection;
D O I
10.2298/TSCI230828106W
中图分类号
O414.1 [热力学];
学科分类号
摘要
Under the goal of "achieving carbon peak by 2030 and carbon neutrality by 2060", how to select the type of fresh air system has become a key area of energy conservation. The method of outdoor design PM2.5 concentration is one of the important factors affecting the selection of fresh air filtration system. This paper first analyzed the PM2.5 concentration values of 31 cities in China from 2017 to 2020 based on mathematical induction, and next gave the recommended coefficient K under six urban economic regions methods in combination with the actual situation. Finally, the selection of air filters in five typical cities was taken as an example, the differences in recommended coefficient K and selection of outdoor design PM2.5 concentration under different recommended methods were compared and analyzed. The results showed that the recommended coefficient K under the six economic regions could meet the required K value needs of the region. The recommended coefficient K by the six economic regions methods based on per capita GDP is the best. Under that conditions, the recommended coefficient K of the five typical cities under strict and normal conditions differs from the average K values of the six methods by 0.06 and 0.04. This paper will provide a new method for the correct selection of outdoor design PM2.5 concentration in fresh air systems to achieve the dual carbon energy-saving goal.
引用
收藏
页码:3141 / 3154
页数:14
相关论文
共 42 条
  • [11] Effect of Vegetation Coverage on the Temporal and Spatial Distribution of PM2.5 Concentration in China's Eight Major Economic Regions from 1998 to 2016
    Yang Y.-L.
    Yang K.
    Luo Y.
    Yu Z.-Y.
    Meng C.
    Li C.
    Huanjing Kexue/Environmental Science, 2021, 42 (11): : 5100 - 5108
  • [12] Application Study of Comprehensive Forecasting Model Based on Entropy Weighting Method on Trend of PM2.5 Concentration in Guangzhou, China
    Liu, Dong-jun
    Li, Li
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2015, 12 (06): : 7085 - 7099
  • [13] Investigation of yearly indoor/outdoor PM2.5 levels in the perspectives of health impacts and air pollution control: Case study in Changchun, in the northeast of China
    Bai, Li
    He, Zijian
    Li, Chunhui
    Chen, Zhao
    SUSTAINABLE CITIES AND SOCIETY, 2020, 53
  • [14] Health and economic benefits of building ventilation interventions for reducing indoor PM2.5 exposure from both indoor and outdoor origins in urban Beijing, China
    Yuan, Ye
    Luo, Zhiwen
    Liu, Jing
    Wang, Yaowu
    Lin, Yaoyu
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 626 : 546 - 554
  • [15] Temporal Difference-Based Graph Transformer Networks For Air Quality PM2.5 Prediction: A Case Study in China
    Zhang, Zhen
    Zhang, Shiqing
    Zhao, Xiaoming
    Chen, Linjian
    Yao, Jun
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [16] Exploring relationships between outdoor air particulate-associated polycyclic aromatic hydrocarbon and PM2.5:: A case study of benzo(a)pyrene in California metropolitan regions
    Lobscheid, Agnes B.
    McKone, Thomas E.
    Vallero, Daniel A.
    ATMOSPHERIC ENVIRONMENT, 2007, 41 (27) : 5659 - 5672
  • [17] Estimation and Analysis of the Nighttime PM2.5 Concentration Based on LJ1-01 Images: A Case Study in the Pearl River Delta Urban Agglomeration of China
    Wang, Yanjun
    Wang, Mengjie
    Huang, Bo
    Li, Shaochun
    Lin, Yunhao
    REMOTE SENSING, 2021, 13 (17)
  • [18] Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM2.5 Concentration in China's Inland Cities: A Case Study from Chengdu Plain Economic Zone
    Yang, Ye
    Lan, Haifeng
    Li, Jing
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (01)
  • [19] PM2.5 mass concentration variation in urban residential buildings during heating season in severe cold region of China: A case study in Harbin
    Liu, Yu
    Dong, Jiankai
    Xu, Xiangang
    Jiang, Yiqiang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 722 (722)
  • [20] Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
    Zheng, Qinghe
    Tian, Xinyu
    Yu, Zhiguo
    Jiang, Nan
    Elhanashi, Abdussalam
    Saponara, Sergio
    Yu, Rui
    SUSTAINABLE CITIES AND SOCIETY, 2023, 92