ניהול
קהילה:
אסיף מאגר המחקר החקלאי
Optimization of position of reflective boards for increasing light intensity inside Chinese lean-to greenhouses
Year:
2008
Source of publication :
IFIP International Federation for Information ProcessingAuthors :
קונג, יון
;
.
Volume :
259
Co-Authors:
Kong, Y., Department of Plant Science and Technology, Beijing Agricultural College, Beijing 102206, China, China Agricultural University, Beijing 100083, China
Wang, S., China Agricultural University, Beijing 100083, China
Yao, Y., China Agricultural University, Beijing 100083, China
Ma, C., Department of Plant Science and Technology, Beijing Agricultural College, Beijing 102206, China
Wang, S., China Agricultural University, Beijing 100083, China
Yao, Y., China Agricultural University, Beijing 100083, China
Ma, C., Department of Plant Science and Technology, Beijing Agricultural College, Beijing 102206, China
Facilitators :
From page:
1383
To page:
1389
(
Total pages:
7
)
Abstract:
Equations were derived based on the principles of light reflection to optimize the height and angle parameters of the reflective board in real time and location. The optimized parameters were applied to enhance the light intensity inside the lean-to greenhouses in china. The calculated results were significantly correlated to the actual measurements. Therefore, the equations developed in this study can be used to optimize the design parameters for the reflective board in practice. Additionally, based on the derived calculation equations, the optimized ranges of height and angle parameters were calculated for setting reflective board from autumn to winter and spring at latitude 32-42° in China. © 2008 International Federation for Information Processing.
Note:
Related Files :
Agriculture
greenhouses
Light intensity
Light reflection
Position optimization
Reflective board
עוד תגיות
תוכן קשור
More details
DOI :
10.1007/978-0-387-77253-0_85
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
22224
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:50
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