Trnsys energy modeling
File 5 “Validation model” contains the internal air temperature of the greenhouse obtained with the two software and the percentage relative error. The simulation model built in TRNSYS environment is validated with EnergyPlus 8.6, the calculation details are reported in the Related research article.
The natural ventilation is properly managed by a controller dependent on the internal and external air temperatures, to provide a free-heating or free-cooling to the greenhouse environment. įile 4 “Natural ventilation air flow rate” contains, for Combo 1, the natural ventilation air mass flows activated by large openings place on the bottom and top part of the longest side of the greenhouse. The details of the calculations are presented in. The outputs are reported in “File 3 – Evapotranspiration mass flow”. The study considers the growth of the chrysanthemum, the evapotranspiration produced by the plant influences the simulation. The “File 2 – Energy requirements” shows hourly energy requirements in kJ/h of the combinations listed in Table 1.
For the 20 zones, the air temperatures have been listed for each of the 20 zones of which the greenhouse is composed, H indicates the horizontal distances and V indicates the vertical ones. The “File 1 – Internal air temperature” presents hourly internal air temperature for the solar greenhouse with one zone (1Z) and the greenhouse divided into twenty zones (20 Z), for all combinations listed in Table 1. The model has been validated and compared with the same solar greenhouse simulated with EnergyPlus software.Ĭristina Baglivo, Domenico Mazzeo, Simone Panico, Sara Bonuso, Nicoletta Matera, Paolo Maria Congedo, Giuseppe Oliveti, Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs, Applied Thermal Engineering, 2020, 115698, ISSN 1359-4311, 10.1016/j.applthermaleng.2020.115698. The results of simulations are reported in terms of internal air temperature, energy requirements, evapotranspiration mass flow, natural ventilation air mass flow. The building model has been designed through TRNbuild, an add-on of TRNSYS 17. The climatic data are processed with a 1-h step for a total duration of 8760 h. National Renewable Energy Laboratory (NREL) are used to reproduce the climate data of the city of Crotone in Italy, where the solar greenhouse is located. Moreover, all the parameters that influence the thermal balance of the greenhouse have been analysed in a free-floating and continuous regime. Two models have been developed characterized by different discretization of its internal volume, namely a greenhouse with a single thermal zone and a greenhouse with twenty thermal zones. The solar greenhouse was modeled considering the presence of lamps and evapotranspiration necessary for the cultivation of chrysanthemum. The materials that constitute the greenhouse are those traditionally used in greenhouses located in the Crotone area. This data set provides the analysis of a solar greenhouse with symmetrical flat pitched roofs with the longest sides facing south and north. The data allow the researcher to choose a suitable greenhouse model in the case of free-floating model or in the presence of an air conditioning system.ĭesign of greenhouse considering simultaneously different thermal phenomena.Ĭlimate datasheets, analysed and processed output data by the software TRNSYS 17. The parameters that influence the thermal behavior of the greenhouse are analyzed on an hourly basis, the model has been validated with EnergyPlus. Different models are presented for the calculation of the convective coefficient that best suits the presence of glass surfaces, considering the different discretization of the internal volume (single thermal zone and twenty thermal zones). The results obtained consider different phenomena that affect the thermal behavior of the greenhouse, including evapotranspiration produced by plants, heat exchange with the soil and the presence of artificial lights. The analysis was performed by TRNSYS 17 software (TRaNsient SYstem Simulation).
This dataset provides the results of thermal modeling and dynamic simulation of a solar greenhouse considering simultaneously several thermal phenomena. In the agricultural sector, the use of energy can be very intensive and the simulation of solar greenhouses is a very complex work. This dataset supports the research article “Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs”.