文献类型： 外文期刊

作者： Liu, R. ¹ ; Li, M. ² ; Guzman, J. L. ¹ ; Rodriguez, F. ¹ ;

作者机构： 1.Univ Almeria, CIESOL, ceiA3, Dept Informat, Ctra Sacramento S-N, Almeria, Spain

2.Beijing Res Ctr Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Meteorol Serv Ctr Urban Agr, Natl Engn Lab Agriprod Qual Traceabil, Beijing, Peoples R China

3.Minist Agr, Key Lab Agriinformat, Minist Agr & Rural Affairs, Meteorol Adm, Beijing, Peoples R China

关键词： Controlled-environment simulation; Greenhouse climate; Transient model

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2021 年 186 卷

页码：

收录情况： SCI

摘要： This paper introduces a new transient greenhouse model which uses a mechanistic method to estimate the temperature and humidity in typical Chinese solar greenhouses. A novel and easy-to-use wall temperature estimation method based on the energy balance was adopted for the environment model rather than using boundary temperature measurements. In this way, the number of model inputs is considerably reduced, and the proposed model is able to predict future greenhouse climate conditions by utilizing only the weather forecast. The model validation was performed in two different greenhouses (each with different sizes and physical parameters, such as the greenhouse volume, the roof and wall areas, the wall materials and so on) on three typical days in 2019 and 2020, and over four consecutive weeks in different seasons during 2016 and 2019 . Promising results were obtained and the model performed well in different operating modes; these included having the vents completely closed, opening the vents, and completely closing the vents in the cold season with an additional thermal insulation blanket covering. The validation results demonstrate that the proposed model can be widely adapted to different sizes of typical Chinese solar greenhouses, as well as to different weather conditions. Thus, the developed model is a flexible and valuable tool that can be used for greenhouse climate simulation, temperature and humidity control, and as a decision-making support system to help manage solar greenhouses.