Change rates and weight values of energy consumption parameters for light steel buildings in severe cold region

ABSTRACT

Light steel buildings are widely used in rescue and disaster relief, but they consume a lot of energy to improve the indoor thermal environment due to their high thermal conductivity and poor thermal comfort. To clarify the relationship between various design parameters and their effect on energy consumption, the energy consumption impact of the design parameters including building orientation, aspect ratio, roof slope angle, window-wall ratio (WWR), and envelope structure of a typical light steel building in cold regions is comprehensively analyzed. The impact degree of parameters is determined by the simulation and analytic hierarchy process (AHP) analysis to calculate the weight value of the design parameters affecting the energy consumption. The results show that the consumption of energy increases with the increase of the aspect ratio, slope angle, WWR and heat transfer coefficient of envelope. The orientation of the minimum energy consumption is 180°, the weight less than 180° is positive, and that greater than 180° is negative. The envelope has the greatest impact on the energy consumption, with a weight of about 0.66, of which the wall and roof is about 0.40 and 0.26 respectively; Then the south WWR, slope angle, north WWR, aspect ratio and orientation are in turn, and the weights are about 0.12, 0.08, 0.07, 0.06 and ±0.02 respectively. The research results can optimize the building scheme and estimate the building energy consumption after optimization, which provides a reference for the energy-saving renovation of light steel buildings in severe cold regions.

KEYWORDS:

• AHP
• light steel buildings
• design parameters
• severe cold region
• energy consumption

Nomenclature

WWR	=	window-wall ratioAHPanalytic hierarchy process
PCM	=	phase change materialsEPSexpanded polystyrene
GA	=	genetic algorithmsλthermal conductivity [W/(m·K)]
W	=	design parameters VariableIinterval
η	=	change rateαweight
Q	=	building energy consumption (kW·h)δthickness (mm)
ρ	=	density (kg/m3)Cspecific heat [J/(kg·K)]

Acknowledgement

Financial support was provided by the National Natural Science Foundation of China (52078110), the Daqing New Energy Field ”Top Leaders” Science and Technology Research Project (HGS-KJ/KJGLB-[2021] No.30), the Natural Science Foundation of Heilongjiang Province NoLH2019E015, the Philosophy and Social Science Planning Project of Heilongjiang Province (21SHE337 and 19SHB042), the Program of the Ministry of Housing and Urban-Rural Development of China (2020-K-162), the Daqing Philosophy and Social Science Planning Projects (DSGB2022076;DSGB2022030; DSGB2022023) and the Heilongjiang Bayi Agricultural University Support Program for San Heng San Zong (TDJH202005 andZRCPY201917).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [52078110]