Simulated performance of a greenhouse cooling control strategy with natural ventilation and fog cooling

Villarreal‐Guerrero, Federico; Kaçıra, Murat; Fitz-Rodríguez, E.; Linker, Raphael; Kubota, Chieri; Giacomelli, G. A.; Arbel, A.

doi:10.1016/j.biosystemseng.2011.11.015

Cited by 53 publications

(21 citation statements)

References 16 publications

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“…As far as the boundary layer resistance is concerned, this applies to nearly all conditions. Indeed, the sensitivity analysis of the authors of [71] confirmed that there is hardly any loss of accuracy when using a constant value (rather than a sub-model) for the boundary layer resistance, as done, for instance, by the authors of [26,44], provided a good average is correctly identified [64,70]. With respect to the stomatal resistance, this review leads us to agree with the conclusion by the authors of [64], that "the development of an accurate model .…”

Section: Different Models For Different Applicationsmentioning

confidence: 82%

“…Some studies compared the performance of the transpiration models under greenhouse conditions. The authors of [43] presented a comparison of the performance of the different models found in the literature [67][68][69][70], as shown in Table 3.…”

Section: Different Models For Different Applicationsmentioning

confidence: 99%

“…Table 3. Results of the studies [67][68][69][70] comparing different transpiration models. Slope of the regression line between experimental and numerical results and corresponding coefficient of determination (for each study, the best model is given in bold type) [43].…”

Section: Different Models For Different Applicationsmentioning

confidence: 99%

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Modelling Crop Transpiration in Greenhouses: Different Models for Different Applications

Katsoulas

Stanghellini

2019

Agronomy

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Models for the evapotranspiration of greenhouse crops are needed both for accurate irrigation and for the simulation or management of the greenhouse climate. For this purpose, several evapotranspiration models have been developed and presented, all based on the Penman-Monteith approach, the "big-leaf" model. So, on the one hand, relatively simple models have been developed for irrigation scheduling purposes, and on the other, "knowledge-mechanistic" models have been developed for climate control purposes. These models differ in the amount of detail about variables, such as stomatal and aerodynamic conductance. The aim of this review paper is to present the variables and parameters affecting greenhouse crop transpiration, and to analyze and discuss the existing models for its simulation. The common sub-models used for the simulation of crop transpiration in greenhouses (aerodynamic and stomatal conductances, and intercepted radiation) are evaluated. The worth of the multilayer models for the simulation of the mass and energy exchanges between crops and air are also analyzed and discussed. Following the presentation of the different models and approaches, it is obvious that the different applications for which these models have been developed entail varying requirements to the models, so that they cannot always be compared. Models developed in different locations (high-low latitudes or for closed or highly ventilated greenhouses) are discussed, and their sensitivity to different parameters is presented.Agronomy 2019, 9, 392 2 of 17 canopy. Estimations on how much energy is absorbed by the plant depends a lot on the greenhouse characteristics (cladding material), and on the ability of the climate control equipment (if present) to automatically modify/control the relevant climate factors. With the expansion of greenhouse culture all over the world, this has led to various models for ET estimation [4][5][6][7][8]. Thus, this work aims to review and discuss the available literature on the available ET models, their basic differences, and their use under different greenhouse climate conditions. The Most Common Approaches The Penman-Monteith ModelEvaporation (from soil) and transpiration (from the crop stomata) occur simultaneously, and there is no easy way of distinguishing between the two processes [5]. However, in many cases under greenhouse conditions, the soil is covered by a mulch that may considerably reduce the evaporation [9]. In the case of a non-mulched cropped soil, the evaporation is mainly determined by the water availability at the soil surface and the part of solar radiation reaching the soil surface. The solar irradiance reaching the soil is reduced during the growing period, as the plants develop and their canopy shades an increasing fraction of the ground area. When the crop is small, water is mainly lost by soil evaporation, but once plants are well developed and completely cover the soil, transpiration becomes the main process.Crop transpiration in greenhouses could be estimated based on the crop ene...

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Section: Different Models For Different Applicationsmentioning

confidence: 82%

Section: Different Models For Different Applicationsmentioning

confidence: 99%

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Modelling Crop Transpiration in Greenhouses: Different Models for Different Applications

Katsoulas

Stanghellini

2019

Agronomy

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“…Many researchers have studied control strategies for ventilation and heating systems, for humidification/dehumidification systems, and for the regulation of other agricultural greenhouse parameters. References [14,15] proposed a ventilation system based on an on-off control, Reference [16] studied a natural ventilation system for an agricultural greenhouse, Reference [17] presented an evaluation of the use of various renewable energy sources to heat a greenhouse, and Reference [18] introduced different fields of application for renewable energy in buildings, in particular in the agricultural sector. Reference [19] proposed energy reduction measured through low-cost and solar energy-based sensors.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System

et al. 2020

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An agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create a favorable microclimate for agricultural production. Temperature and internal humidity are two parameters that have a major impact on greenhouse yield. The objective of this study was to propose a simulated dynamic model in a MATLAB/Simulink environment for experimental validation. Moreover, a fuzzy controller was designed to manage a greenhouse indoor climate by means of an asynchronous motor for ventilation, heating, humidification, etc. An intelligent system to control these actuators for an optimal inside climate was implemented in the model. The dynamic model was validated by comparing the simulation results to experimental measurements. These results showed the effectiveness of the control strategy in regulating the greenhouse indoor climate. Finally, a photovoltaic generator was modeled, with the aim of reducing the costs of agricultural production. It feeds the asynchronous motor with a vector control optimized by fuzzy logic that drives a variable speed fan.

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“…To ensure protection against thermal and energy excesses are used shading screens (Lorenzo et al, 2003;Medrano et al, 2005a) placed on the roofs of greenhouses, cooling systems of the type fog cooling (Katsoulas et al, 2009;Villarreal-Guerrero et al, 2012b;Sánchez-Hermosilla et al, 2013) or, more simply, an increase in natural ventilation (Ganguly and Ghosh, 2009;Villarreal-Guerrero et al, 2012a through large openings or resorting to mechanical ventilation with electric fans (Bournet and Boulard, 2010;Coomans et al, 2013). All these solutions entail a considerable increase of the construction and operation costs.…”

Section: Introductionmentioning

confidence: 99%

Analysis of internal shading degree to a prototype of dynamics photovoltaic greenhouse through simulation software

Marucci

Monarca

Cecchini

et al. 2015

J Agricult Engineer

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In recent years the use of photovoltaic panels as cover materials for greenhouses developed a great interest due to the state's incentives obtainable by such applications. Shading caused by these elements inside the structure appears to be often too much for the normal development of agricultural activity. In this study it was analyzed the behaviour of shading caused by the photovoltaic panels inside a prototype of dynamic photovoltaic greenhouse whose particularity lies in the possibility of rotation of the panels along the longitudinal axis. The panels' rotation allows varying shading degree in function of some parameters such as latitude and the different solar angles. In order to avoid any reflection losses due to imperfect inclination of the photovoltaic panels, 24 highly reflective aluminium mirrors were prepared with the objective of recovering the portion of solar radiation otherwise lost by reflection. For the study it was used the simulation software Autodesk® Ecotect® Analysis which allows to analyse the path of the shadows during the day and throughout the year for any latitude considered. For this study it was analyzed shading with the panels in a horizontal position. It was also analyzed the evolution of the percentage of shading simulating different latitudes. The results obtained show a great variation of the shading degree inside the structure during a single day and during the year. We can conclude that integrating this analysis with the energy balance it is possible to study the behaviour of photovoltaic greenhouses in order to integrate the energy production from renewable energy sources and agricultural production.

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Simulated performance of a greenhouse cooling control strategy with natural ventilation and fog cooling

Cited by 53 publications

References 16 publications

Modelling Crop Transpiration in Greenhouses: Different Models for Different Applications

Modelling Crop Transpiration in Greenhouses: Different Models for Different Applications

Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System

Analysis of internal shading degree to a prototype of dynamics photovoltaic greenhouse through simulation software

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