Liang Chun

Dr. Liang Chun


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 September 2023 in Materials
Verified
Journal Article
Open access
PDF file
MJMaqi Jiang
Maqi Jiang
BJbin jiang
bin jiang
RLRenzi Lu
Renzi Lu
LCLiang Chun
Liang Chun
HXHailun Xu
Hailun Xu
GYGaolin Yi
Gaolin Yi
Rammed-earth dwellings have a long history in the construction field. It is a natural material that is both green and environmentally friendly. In recent years, the advantages of rammed earth, such as environmental protection, low cost, and recyclability, have attracted considerable attention. In this study, the thermal and humidity physical properties of rammed–earth materials in the northwest Sichuan region, the variation laws of thermal physical parameters, such as the thermal conductivity of rammed–earth under different moisture content conditions, and isothermal moisture absorption and desorption curves were investigated. The results indicated that the thermal physical parameters of the rammed earth measured in the experiment increased with an increase in moisture content, and its moisture absorption performance was better than the moisture release performance in the range of 11.31–97.3% relative humidity. The experimental site, Mianyang City, Sichuan Province, is a subtropical monsoon humid climate zone characterized by warm winters and hot summers with four distinct seasons. In this study, we investigated the hygrothermal coupling transfer of walls, as well as the indoor temperature and humidity changes in new rammed–earth buildings during summer and winter climates. During the test period, the maximum indoor temperature in summer was 35.08 °C, the minimum temperature was 33.76 °C, and the average daily temperature fluctuation was 3.62 °C. In winter, the maximum indoor temperature was 8.59 °C, the minimum temperature was 6.18 °C, and the average daily temperature fluctuation was 1.21 °C. An analysis was performed on the thermal insulation performance of rammed–earth buildings in an extremely high-temperature climate during summer, thermal insulation performance, the thermal–buffering capacity of walls in a low–temperature and high-humidity climate during winter, and thermal and humidity regulation of indoor environments provided by walls during summer and winter. The results showed that the rammed–earth buildings exhibited warmth in winter, coolness in summer, and a more stable and comfortable indoor environment.

7 July 2024 in Journal of Building Engineering
Verified
Journal Article
Closed access
LCLiang Chun
Liang Chun
ZLZicheng Liao
Zicheng Liao
YXYao Xiao
Yao Xiao
GWGuoqiang Wang
Guoqiang Wang

25 March 2023 in Energy and Buildings
Verified
Journal Article
Closed access
Dong LiuDong Liu
Dong Liu
LYLunrui Yuan
Lunrui Yuan
LCLiang Chun
Liang Chun
GGGuangcai Gong
Guangcai Gong
XFXi Fang
Xi Fang
PPPei Peng
Pei Peng

16 September 2024 in Energy
Verified
Journal Article
Closed access
LCLiang Chun
Liang Chun
ZLZicheng Liao
Zicheng Liao
GWGuoqiang Wang
Guoqiang Wang
YXYao Xiao
Yao Xiao
JHJinpeng Huo
Jinpeng Huo
BJBin Jiang
Bin Jiang


1 January 2026 in International Journal of Energy Research
Verified
Journal Article
Open access
PDF file
LCLiang Chun
Liang Chun
YXYao Xiao
Yao Xiao
ZLZicheng Liao
Zicheng Liao
XZXuan Zhou
Xuan Zhou
LWLi Wan
Li Wan
This study proposes a photovoltaic/thermal (PV/T)‐driven desiccant wheel cooling system integrating vacuum membrane dehumidification (VMD) and dew‐point evaporative cooling. The vacuum membrane dehumidifier is arranged as a predehumidification unit to undertake part of the latent load, thereby reducing the moisture load and regeneration demand of the desiccant wheel. A thermodynamic model is developed for the coupled system and evaluated using published experimental data and previously validated component models. A split‐cross orthogonal experiment (SCOE) method is applied to identify the dominant operating parameters, and a neural‐network‐based surrogate model combined with the Nondominated Sorting Genetic Algorithm II (NSGA‐II) algorithm is used for rapid multiobjective optimization. The results show that solar radiation intensity has the strongest influence on the coefficient of performance (COP), whereas ambient relative humidity is the dominant parameter affecting both total latent and sensible cooling capacities. The Pareto solutions reveal a clear trade‐off between energy efficiency and cooling output. Under the selected conditions of a solar radiation intensity of 800 W/m 2 , an ambient temperature of 30°C, an ambient relative humidity of 60%, and a supply air mass flow rate of 0.4 kg/s, representative high‐efficiency solutions provide a total cooling capacity of 9.7 kW at a COP of 14.51 and a total latent cooling capacity of 5.33 kW at a COP of 14.56.