Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/1727

Title: Statistical modelling of the microclimate in a naturally ventilated greenhouse
Authors: Litago, Javier
Baptista, Fátima
Meneses, Jorge
Navas, Luís
Bailey, Bernard
Sánchez-Girón, Victor
Keywords: greenhouse
climate modelling
Issue Date: 2005
Publisher: Elsevier
Abstract: The time-series models introduced in this paper were developed to estimate and forecast temperature and humidity dynamics in an unheated, naturally ventilated greenhouse in Lisbon, Portugal. External and internal climatic data recorded over four consecutive months during the tomato (Lycopersicon esculentum, Mill) growing season were used to build and validate forecasting models for simulating environmental conditions inside the greenhouse. The statistical models were assessed with co-integration and error correction methods, using hourly data. The main variables considered to estimate the internal air temperature were external temperature, ventilation rate and solar radiation. Internal relative humidity was predicted primarily from external relative humidity, ventilation rate and evapotranspiration. Internal greenhouse air temperature and relative humidity were closely related to solar radiation, external air temperature and ventilation rate. Despite the large number of parameters involved, both models provided a reliable prediction of the system dynamics. A comparison of measured and simulated data showed that the models were able to forecast internal greenhouse conditions reasonably well.
URI: http://hdl.handle.net/10174/1727
ISSN: 1537-5110
Type: article
Appears in Collections:ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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