An infiltration load calculation model of large-space buildings based on the grand canonical ensemble theory
Xiaojie Lin,
Junwei Zhang,
Liuliu Du-Ikonen and
Wei Zhong
Energy, 2023, vol. 275, issue C
Abstract:
Air infiltration significantly impacts building energy consumption and the indoor thermal environment. The proportion of infiltration load in large-space buildings is higher than in normal buildings. Due to the particularity of building structure and function, the existing building infiltration load calculation methods are unsuitable for large-space buildings. This paper proposed a new method for analyzing the building infiltration process from a thermodynamic perspective, enabling large-space buildings' infiltration load to be calculated more accurately and quickly. Compared with the existing method, it was found that a fixed proportional difference existed, and the proposed method relied on certain assumptions. The correction factor η was introduced to correct these limitations. The proposed method was verified to be accurate and universal in actual buildings. The paper also presents the results of η in different building scenarios and discusses the influence of mechanical ventilation and ideal gas assumption on η. Compared with the air change method and the gap method, the correction factor is stable in the range of 0.257–0.278 and 0.327–0.353, respectively. Furthermore, the correction factor for a monatomic ideal gas is 40% higher than that for a diatomic ideal gas. The new method provides a more accurate and efficient way to calculate the infiltration load, which can help improve the energy efficiency of buildings and the indoor thermal environment.
Keywords: Grand canonical ensemble; Infiltration load; Large-space building; Air change method (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223007259
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:275:y:2023:i:c:s0360544223007259
DOI: 10.1016/j.energy.2023.127331
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().