Express Model for Analyzing the Process of Soil Heating in a Greenhouse
DOI:
https://doi.org/10.15802/stp2025/324153Keywords:
energy saving, thermal conductivity, soil heating, greenhouse, mathematical modelingAbstract
Purpose. The organization of artificial soil heating in a greenhouse plays an important role in ensuring efficient plant cultivation, as the optimal soil temperature is a key factor in this process. The heating itself must be carried out in such a way as to ensure a certain temperature range in the soil, in particular in the area where the root system of plants is located. The soil heating process depends on the specific operating conditions of the greenhouse. To organize a rational and energy-saving process, it is necessary to determine the parameters of the heating system in advance, at the design stage. An effective method for solving this problem is to use mathematical models. The main purpose of the study is to develop a one-dimensional express model for evaluating the process of soil heating in a greenhouse. Methodology. The equation of thermal conductivity was used to study the dynamics of artificial soil heating. The numerical integration of the modeling equation was carried out using a finite-difference scheme of total approximation. Findings. A computer program has been developed that can be used to conduct a computational experiment to determine the dynamics of artificial soil heating in a greenhouse. The results of numerical modeling are presented. Originality. A one-dimensional numerical model for analyzing artificial soil heating in a greenhouse has been developed. The model is based on the numerical integration of the heat conduction equation and allows us to quickly determine the dynamics of the formation of thermal fields in the soil both in the case of the heating element operation and in the case of its shutdown. Practical value. The developed numerical model can be a useful tool at the design stage of artificial soil heating systems. It provides scientific justification for the parameters of heating systems and energy-efficient modes of their operation. The model allows you to quickly assess the dynamics of thermal fields in the soil both during the operation of the heating element and after it is turned off. For practical application of the numerical model, only standard input information is required. Controlling the dynamics of soil heating opens up opportunities for optimal control of the heating system operation modes.
References
Biliaiev, M. M., Biliaieva, V. V., Berlov, O. V. & Kozachyna, V. A. (2022). CFD-modeliuvannia v analizi efektyvnosti system zakhystu dovkillia ta pratsivnykiv na robochykh mistsiakh: monografiya. Dnipro: Zhurfond. (in Ukrainian)
Biliaieva, V. V., & Shcherbyna, S. A. (2024). Mathematical Modeling of Temperature Fields in Cultivation Structures. Science and Transport Progress, 4(108), 13-20. DOI: https://doi.org/10.15802/stp2024/316334 (in Ukrainian)
Vikhrova, L., Kalich, V., & Prokopenko, T. (2011). A mathematical and computer design of distributing of temperatures is in a hothouse. Tekhnika v silskohospodarskomu vyrobnytstvi, haluzeve mashynobuduvannia, avtomatyzatsiia, 24(2), 174-180. (in Ukrainian)
Zgurovskii, M. Z., Skopetskii, V. V., Khrutch, V. K. & Biliaiev, M. M. (1997). Chyslennoe modelyrovanye rasprostranenyia zahriaznenyia v okruzhaiushchei srede. Кyiv: Naukova dumka. (in Russian)
Biliaiev, M., Rusakova, T., Biliaieva, V., Kozachyna, V., & Berlov, O., Semenenko P. (2022). Analysis of Temperature Field in the Transport Compartment of the Launch Vehicle. Proceedings of 26th International Scientific Conference. Transport Means 2022, 122-127. (in English)
Dimitropoulou, A.-M. N., Maroulis, V. Z., & Giannini, E. N. (2023). A Simple and Effective Model for Predicting the Thermal Energy Requirements of Greenhouses in Europe. Energies, 16(19), 1-27. DOI: https://doi.org/10.3390/en16196788 (in English)
Faniyi, B., & Luo, Z. (2023). A Physics-Based Modelling and Control of Greenhouse System Air Temperature Aided by IoT Technology. Energies, 16(6), 1-18. DOI: https://doi.org/10.3390/en16062708 (in English)
Katzin, D., Marcelis, L. F. M., van Henten, E. J., & van Mourik, S. (2023). Heating greenhouses by light: A novel concept for intensive greenhouse production. Biosystems Engineering, 230, 242-276. DOI: https://doi.org/10.1016/j.biosystemseng.2023.04.003 (in English)
Sun, W., Wei, X., Zhou, B., Lu, C., & Guo, W. (2022). Greenhouse heating by energy transfer between greenhouses: System design and implementation. Applied Energy, 325, 1-55. DOI: https://doi.org/10.1016/j.apenergy.2022.119815 (in English)
Wang, J., Lee, W. F., & Ling, P. P. (2020). Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation. Applied Sciences, 10(2), 653. DOI: https://doi.org/10.3390/app10020653 (in English)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Science and Transport Progress

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licensing
This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.
The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.