A model for simulating the indoor climate and energy use of greenhouses with supplemental lighting.
- David Katzin,
david.katzin@wur.nl,david.katzin1@gmail.com
David Katzin, Simon van Mourik, Frank Kempkes, and Eldert J. Van Henten. 2020. “GreenLight - An Open Source Model for Greenhouses with Supplemental Lighting: Evaluation of Heat Requirements under LED and HPS Lamps.” Biosystems Engineering 194: 61–81. https://doi.org/10.1016/j.biosystemseng.2020.03.010.
The code in this repository has been tested for compatibility with MATLAB 2015b and onwards. The DyMoMa package is required in order to use this model. The current version uses DyMoMa v1.0.0.
readme.md- This readme filelicense.md- The license for this repository (Apache 2.0)- Code
createGreenLightModel- Files for creating an object of a greenhouse model with lightscreateGreenLightModel.m- Main function for creating a new GreenLight model objectsetGlParams.m- Set the parameters according to the Vanthoor modelsetGlInput.m- Set the inputssetGlTime.m- Set the timespansetGlControls.m- Set the controlssetGlStates.m- Set the statessetGlAux.m- Set the auxiliary statessetGlControlRules.m- Set the control rulessetGlOdes.m- Set the ODEssetGlInit.m- Set the inital values for the statessetParamsBleiswijk2010.m- Set the parameters according to a data set from Bleiswijk, The Netherlands, 2010setHpsParams.m- Set the lamp parameters according to the HPS compartment in Bleiswijk, The Netherlands, 2010setLedParams.m- Set the lamp parameters according to the LED compartment in Bleiswijk, The Netherlands, 2010setDepParams.m- After the parameters have been set, reset the dependent parameters
- inputs - Files for defining the outdoor climate inputs
cloudCoverRotterdam2009-2012- Cloud cover data in Rotterdam for the years 2009-2012Reference year SEL2000- Weather data from a Reference Year for Dutch GreenhousesloadGreenhouseData.m- Load data from available greenhouse datasets (tha data not included in this repository)loadSelYearHiRes.m- Load weather data from Reference Year for Dutch GreenhousesskyTempMonteith.m- Calculate sky temperature according to a given air temperature and cloud coverskyTempRdam.m- Calculate sky temperature in Rotterdam according toskyTempMonteithand the data incloudCoverRotterdam2009-2012soilTempNl.m- Calculate soil temperature for Dutch conditions
- postSimAnalysis - Methods for analyzing and viewing the simulation after it's done
plotTemps.m- Plot the temperatures of the various states in the modelpipeT2EnergyIn.m- Calculates how much energy came from the pipe, based on pipe temperature and the table by VerveergroPipeEnergy.m- Calculates how much energy came from the grow pipespipeEnergy.m- Calculates how much energy came from the pipe railsenergyAnalysis.m- Prints out the values of the simultaed energy balancelampOutput.m- Prints out how the lamp output was broken down between PAR, NIR, FIR, convection, and coolingverveer.mat- Table relating pipe temperature and diameter to energy useverveerReadme.txt- Explanation regarding the table invermeer.mat
- runScenarios - Scenarios considered in the current study
exampleSimulation.m- Example of a simulation with different lamp settings, with data from Reference Year for Dutch GreenhousesevaluateClimateModelHps.m- File used for comparing indoor model simulations with measured data under HPS (data not included in this repo)evaluateClimateModelLed.m- File used for comparing indoor model simulations with measured data under LED (data not included in this repo)evaluateEnergyUseHps.m- File used for comparing model simulations of energy use with measured data under HPS (data not included in this repo)evaluateEnergyUseLed.m- File used for comparing model simulations of energy use with measured data under LED (data not included in this repo)
Make sure you have all files in this repository, as well as those from the DyMoMa package, on your MATLAB path. runScenarios\exampleSimulation shows how you may use a dataset of weather data (in this case, the Reference Year for Dutch Greenhouses), to run the model with default settings. The plot made here is of the lamp temperatures, but you may plot whatver model component you wish.
The other scenarios in runScenarios cannot be run without the data from the Bleiswijk trial, which is not included in this repository. However these examples can be used to run the model with other datasets. You can see in these examples how to compare the model simulations to the measured values, including measured climate variables and energy use.