Chen, C;
Li, Y;
Li, N;
Wei, S;
Yang, F;
Ling, H;
Yu, N;
(2018)
A computational model to determine the optimal orientation for solar greenhouses located at different latitudes in China.
Journal of Solar Energy
, 165
pp. 19-26.
10.1016/j.solener.2018.02.022.
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Abstract
The orientation of solar greenhouses has a significant impact on the ability of the solar radiation energy received by the south pitched roof. In this study, based on the law of the solar trajectory and the theory of heat balance, the calculation model of the opening and closing time of the thermal insulation curtain for the south pitched roof of solar greenhouses in different latitudes is given. Using Extreme Value Theory, a method that can be used to determine the optimal orientation for solar greenhouses, i.e. to maximize the solar energy collection, has been proposed, with a consideration of impact from geographical latitude. To validate the proposed method, both simulation data (by EnergyPlus) and field measured data have been used and a good agreement has been observed. The model has been implemented to predict optimal orientations of solar greenhouse located at nine different regions, where solar greenhouses are mainly used in the northern China.
| Type: | Article |
|---|---|
| Title: | A computational model to determine the optimal orientation for solar greenhouses located at different latitudes in China |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.solener.2018.02.022 |
| Publisher version: | https://doi.org/10.1016/j.solener.2018.02.022 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Solar greenhouse; Optimal orientation; Simulation; Field measurement |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10045533 |
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