Development and Optimization of a Building Energy Simulation Model to Study the Effect of Greenhouse Design Parameters

Energy management of the greenhouse is considered to be one of the most important challenges of greenhouse farming. Energy saving measures need considered, besides applying energy supplying techniques. To address this issue, a model was developed to simulate the thermal environment of a greenhouse using a Transient Systems Simulation Program (TRNSYS 17) as a building energy simulation (BES) platform. The model was calibrated by modifying the input parameters to minimize the uncertainties obtained from the results. Nash-Sutcliffe efficiency coefficients of 0.958 and 0.983 showed good agreement between the computed and experimental results. The proposed model was used to evaluate the effects of greenhouse design parameters, including roof shape, orientation, double-glazing, natural ventilation, coverings and their thickness, on its energy conservation capacity. It was found that the most suitable design for a greenhouse located in Daegu (latitude 35.53° N, longitude 128.36° E) South Korea would be east-west (E-W) oriented, with a gothic-shaped roof and double-glazing of PMMA (Polymethylmethacrylate) covering. Natural ventilation reduced the inside temperature of greenhouse, thereby reducing the energy demand of cooling. The model developed can help greenhouse farmers and researchers make pre-design decisions regarding greenhouse construction, taking their local environment and specific needs into consideration.

[1]  David Watts,et al.  Statistical analysis of wind energy in Chile , 2011 .

[2]  Antonio Messineo,et al.  On the Evaluation of Solar Greenhouse Efficiency in Building Simulation during the Heating Period , 2012 .

[3]  W. Beckman,et al.  Evaluation of hourly tilted surface radiation models , 1990 .

[4]  J. Xamán,et al.  Numerical study of earth-to-air heat exchanger: The effect of thermal insulation , 2014 .

[5]  Maurizio Carlini,et al.  Photovoltaic Greenhouses: Comparison of Optical and Thermal Behaviour for Energy Savings , 2012 .

[6]  Maurizio Carlini,et al.  Modelling and Simulation for Energy Production Parametric Dependence in Greenhouses , 2010 .

[7]  Peng Xu,et al.  A low cost seasonal solar soil heat storage system for greenhouse heating: Design and pilot study , 2015 .

[8]  Anil Kumar,et al.  Calculation of total solar fraction for different orientation of greenhouse using 3D-shadow analysis in Auto-CAD , 2012 .

[9]  P. Ineichen,et al.  A new simplified version of the perez diffuse irradiance model for tilted surfaces , 1987 .

[10]  In-Bok Lee,et al.  Prediction of Greenhouse Energy Loads using Building Energy Simulation (BES) , 2012 .

[11]  V. Sethi.  On the selection of shape and orientation of a greenhouse: Thermal modeling and experimental validation , 2009 .

[12]  Amir Vadiee,et al.  Solar Blind System- Solar Energy Utilization and Climate Mitigation in Glassed Buildings , 2014 .

[13]  Guohui Gan,et al.  Thermal transmittance of multiple glazing: computational fluid dynamics prediction , 2001 .

[14]  A. Rasheed,et al.  Development of a model to calculate the overall heat transfer coefficient of greenhouse covers , 2018 .

[15]  Ming Li,et al.  Advanced applications of solar energy in agricultural greenhouses , 2016 .

[16]  K. Sumathy,et al.  Thermal modeling aspects of solar greenhouse microclimate control: A review on heating technologies , 2013 .

[17]  Francesco Calise.  High temperature solar heating and cooling systems for different Mediterranean climates: Dynamic simulation and economic assessment , 2012 .

[18]  G. Kamali,et al.  Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces , 2008 .

[19]  R. Chargui,et al.  Geothermal heat pump in heating mode: Modeling and simulation on TRNSYS , 2012 .

[20]  Majdi Hazami,et al.  Parametric and numerical study of a solar system for heating a greenhouse equipped with a buried exchanger , 2013 .

[21]  Pitam Chandra,et al.  Effect of greenhouse design parameters on conservation of energy for greenhouse environmental control , 2002 .

[22]  Hyun Woo Lee,et al.  A Review of Greenhouse Energy Management by Using Building Energy Simulation , 2015 .

[23]  Eiji Goto,et al.  Development of a simulation model to evaluate environmental controls in a tomato greenhouse , 2014 .

[24]  D. Kolokotsa,et al.  Development of an intelligent indoor environment and energy management system for greenhouses using a fuzzy logic controller and LonWorks® pro- tocol , 2006 .

[25]  Amir Vadiee,et al.  Energy analysis and thermoeconomic assessment of the closed greenhouse – The largest commercial solar building , 2013 .

[26]  Joon Yong Kim,et al.  Heating and Cooling System for Utilization of Surplus Air Thermal Energy in Greenhouse and its Control Logic , 2012 .