Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 411253
Title A methodology for model-based greenhouse design: Part 1, a greenhouse climate model for a broad range of designs and climates
Author(s) Vanthoor, B.H.E.; Stanghellini, C.; Henten, E.J. van; Visser, P.H.B. de
Source Biosystems Engineering 110 (2011)4. - ISSN 1537-5110 - p. 363 - 377.
DOI https://doi.org/10.1016/j.biosystemseng.2011.06.001
Department(s) ATV Farm Technology
WUR GTB Tuinbouw Technologie
WUR GTB Gewasfysiologie Management en Model
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) ventilation - optimization - temperature - sensitivity
Abstract With the aim of developing a model-based method to design greenhouses for a broad range of climatic and economic conditions, a greenhouse climate model has been developed and validated. This model describes the effects of the outdoor climate and greenhouse design on the indoor greenhouse climate. For use in a greenhouse design method that focused on the optimisation of a set of design elements, the model should fulfil the following three requirements: 1) predict the temperature, vapour pressure and CO2 concentration of the greenhouse air, with sufficient accuracy for a wide variety of greenhouse designs under varying climate conditions, 2) include the commonly used greenhouse construction parameters and climate conditioning equipment, and 3) consist of a set of first order differential equations to ensure that it can be combined with a tomato yield model (of a similar structure) and to allow the use of ordinary differential equation solvers. The dynamic model was validated for four different greenhouse designs under three climatic conditions: a temperate marine climate, a Mediterranean climate and a semi-arid climate. For these conditions, the model accurately predicted the greenhouse climate for all four designs without modification of the model parameters (except for one case). In more than 78% of the cases, comparison of simulations and measurements of the indoor climate yielded a relative root mean square error of less than 10%. Given these results, the model is considered to be sufficiently accurate and sufficiently generic to be used for developing a model-based greenhouse design method
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