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פותח על ידי קלירמאש פתרונות בע"מ -
The prediction of ventilation rates in greenhouses containing rose crops
Year:
2002
Source of publication :
Acta Horticulturae
Authors :
דיין, אהוד
;
.
Volume :
593
Co-Authors:
Dayan, E., A.R.O., Besor Experimental Station, Mobile Post Negev 4, 85400, Israel
Dayan, J., Mechanical Engineering Department, Technion - Israel Institute of Technology, Haifa, 32000, Israel
Strassberg, Y., Mechanical Engineering Department, Technion - Israel Institute of Technology, Haifa, 32000, Israel
Facilitators :
From page:
55
To page:
62
(
Total pages:
8
)
Abstract:
A simple model, based on energy and mass balances at several zones of the greenhouse and, which enables the prediction of the ventilation within a commercial greenhouse containing rose plants, is presented. The model takes into consideration the microclimate conditions within the greenhouse and the conditions of the environment. It can be updated and calibrated for any possible combinations of conditions generated in and around the specific structure by online measurements of transpiration, leaves temperature (which, alternatively, can be predicted by the model) and several air temperatures and humidities. The equations express the exposure of the different zones to the environments and the effects of the plants. Additional neural network model allows the prediction of the transpiration rates for a few days ahead if the weather remains unchanged. Employing intelligent control methods, the model can be utilized efficiently to modify irrigation, CO2 enrichment and manage energy within the greenhouse.
Note:
Related Files :
Air exchange
Control
COOLING
heating
Microclimate modeling
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
22655
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:53
Scientific Publication
The prediction of ventilation rates in greenhouses containing rose crops
593
Dayan, E., A.R.O., Besor Experimental Station, Mobile Post Negev 4, 85400, Israel
Dayan, J., Mechanical Engineering Department, Technion - Israel Institute of Technology, Haifa, 32000, Israel
Strassberg, Y., Mechanical Engineering Department, Technion - Israel Institute of Technology, Haifa, 32000, Israel
The prediction of ventilation rates in greenhouses containing rose crops
A simple model, based on energy and mass balances at several zones of the greenhouse and, which enables the prediction of the ventilation within a commercial greenhouse containing rose plants, is presented. The model takes into consideration the microclimate conditions within the greenhouse and the conditions of the environment. It can be updated and calibrated for any possible combinations of conditions generated in and around the specific structure by online measurements of transpiration, leaves temperature (which, alternatively, can be predicted by the model) and several air temperatures and humidities. The equations express the exposure of the different zones to the environments and the effects of the plants. Additional neural network model allows the prediction of the transpiration rates for a few days ahead if the weather remains unchanged. Employing intelligent control methods, the model can be utilized efficiently to modify irrigation, CO2 enrichment and manage energy within the greenhouse.
Scientific Publication
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