Mass area ratio of solar hot water systems integrated with so[u]th-facade of high-rise residential buildings

Wei, Shengxian, Li, Ming, Lin, Wenxian, Ji, Xu, Yu, Qiongfen, Luo, Xi, and Long, Xing (2012) Mass area ratio of solar hot water systems integrated with so[u]th-facade of high-rise residential buildings. Acta Energiae Solaris Sinica, 33 (4). 0254-0096. pp. 663-669.

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Abstract

The modeling analyses of the mass area ratios of the flat-plate and evacuated tubular solar water systems were conducted based on the daily solar radiation model and the solar collector energy output model in the paper. The results show that the simulations of the mass area ratios are well consistent with the experimental data and their relative errors do not exceed 10%. The mass area ratios of the solar collector integrated in large-tilt-angle ( 70°- 90°) with south facades of the residential buildings in five meteorologic regions including 133 cities in China were calculated and analyzed. For convenient use in practice, parameter correlations between the mass area ratios of solar hot water systems and the main meteorologic variables were analyzed by using the linear polynomial regression technique. The correlations of solar hot water systems used in summer and winter were been given in the paper. These results give a useful tool to calculate and improve the mass area ratios of the solar collector integration in large-tilt-angle with the south facades of buildings.

Item ID: 24271
Item Type: Article (Research - C1)
ISSN: 0254-0096
Keywords: solar collector integrated with buildings; mass area ratio; high-rise building; model verification; simulation analysis
Additional Information:

The full article is written in Chinese, with an English abstract.

Funders: National Natural Science Foundation of China
Date Deposited: 02 Jan 2013 05:26
FoR Codes: 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091505 Heat and Mass Transfer Operations @ 100%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850506 Solar-Thermal Energy @ 70%
97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 30%
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