2017
DOI: 10.17660/actahortic.2017.1170.1
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Innovations in greenhouse systems – energy conservation by system design, sensors and decision support systems

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Cited by 26 publications
(14 citation statements)
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“…In the lateral direction 256 uniform grids are generated. Calculations are performed for Rayleigh number is 4×10 9 , the temperature of the bottom wall is 333K, and the temperature of the top wall is 294K. The grid independence tests show that the given mesh resolutions are adequate.…”
Section: Natural Convection Within a Hotbox Of A 1:1 Aspect Ratiomentioning
confidence: 99%
See 1 more Smart Citation
“…In the lateral direction 256 uniform grids are generated. Calculations are performed for Rayleigh number is 4×10 9 , the temperature of the bottom wall is 333K, and the temperature of the top wall is 294K. The grid independence tests show that the given mesh resolutions are adequate.…”
Section: Natural Convection Within a Hotbox Of A 1:1 Aspect Ratiomentioning
confidence: 99%
“…Reference source not found.). In general, the energy-saving properties of thermal screens are related to buoyancy, diffusion and convection heat transfer, air permeability, and humidity transfer [9][10][11]. However, mechanical dehumidification systems help to prevent condensation due to excess humidity and therefore eliminate the need for air permeability and extensive ventilation [12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…Energy costs to heat a greenhouse represent a significant expense: in cold regions they represent the second-largest cost item after the workforce [2]. According to Campiotti [1], the greenhouse equipment (light-supplementation, dehumidification, heating, cooling and actuators) needed to achieve maximum yields may result in energy costs in the order of 30%-40% of total production costs.…”
Section: Introductionmentioning
confidence: 99%
“…Another part of the energy consumption is for driving the actuators. The basic energy consumption could account for more than 90% of the total energy consumption in the greenhouse [1]. In order to improve the management level of the greenhouse, it is of great importance to study the prediction of greenhouse energy consumption.…”
Section: Introductionmentioning
confidence: 99%