Modeling of the Internal Temperature for an Energy Saving Chinese Solar Greenhouse

Abstract

The global rise in food demand requires urgent attention in the aspect of crop production. The microclimate of a greenhouse is a critical issue in agricultural practice, due to the variations of the external climatic conditions and their negative effect on crop production. In this work, a dynamic model of the internal air temperature of a Chinese solar greenhouse was designed in Matlab/Simulink environment. The dynamic model was designed with the use of energy balance equations. The weather data consisting of solar radiation, relative humidity, ambient temperature, and Photosynthetically Active Radiation (PAR) were acquired from meteorological stations. The results of the simulations show that the temperature of the internal air varies with weather conditions, location, number of covers, and the structure of the solar greenhouse.

Research on thermodynamic simulation modeling and air temperature control of solar greenhouse

“…The solar greenhouse model in this paper is built based on the data of a standard greenhouse in Shanxi, China, which covers an area of 180 m 2 with an east-west orientation, EVA (a type of transparent plastic film) cladding, and a sloping side with open window for ventilation. According to the Thermal Equilibrium Steady State Principle of Greenhouse [16], the temperature inside the greenhouse will change after the heat inside the greenhouse changes, and the temperature will also remain stable when the heat keeps in balance. Therefore, the adjustment and stabilization of the indoor temperature of a solar greenhouse are essentially achieved by controlling the heat inside the solar greenhouse.…”

A Takagi-Sugeno Fuzzy Model for Greenhouse Climate

“…The first is based on the physical laws involved in the process and the second on the analysis of the input-output data of the model. In [3][4][5][6], the dynamic temperature model is based on the energy balance. The physical model of a greenhouse by researching thermal radiation and ventilation was developed in [7].…”

Intelligent Regulation of Temperature and Humidity in Vegetable Greenhouses Based on Single Neuron PID Algorithm

“…The use of solar greenhouses has significant advantages in improving crop growth efficiency, reducing energy consumption, and minimizing environmental impacts, hence attracting increasing global interest [1,2]. In Northern China, the sloped solar greenhouse, with its unique structure and energy-saving characteristics, has become an integral part of facility agriculture [3][4][5]. However, traditional solar greenhouse management relies heavily on manual operation, which is not only labor-intensive and inefficient, but also challenges the precise control of the crop growth environment [6][7][8][9][10].…”

“…High implementation costs: The complex system structure and high computational resource demands lead to increased implementation costs, such as the agricultural greenhouse operating robot based on the fuzzy PID path tracking algorithm, which, although increasing the flexibility and efficiency of path tracking, may limit its widespread application in actual agricultural production due to high costs. 4. Gap between theory and practical application: Some theoretically precise control strategies may be overly complex in practice, demanding high computational resources, which may hinder their application in the real world, especially in regions with underdeveloped technological infrastructure.…”