Design and control of Peltier cell-based climate chamber for precise reproduction of environmental conditions

Authors

DOI:

https://doi.org/10.17979/ja-cea.2025.46.12073

Keywords:

Peltier cells, Cascade PID control, Shelf-life prediction, Thermal simulation, Physical twin

Abstract

Food waste in the supply chain is a global problem that requires innovative solutions to reduce the social, economic and environmental impacts. This research presents the design, construction and validation of a portable controlled climate chamber based on Peltier cells (thermoelectric modules) capable of dynamically reproducing real temperature curves to which products in the supply chain are exposed. It employs a cascade control system with two-degree-of-freedom PID, anti-wind-up method and Smith predictor to combat thermal inertia and time delays, allowing accurate tracking of rapidly changing temperature curves. In addition, the control utilizes hysteresis when switching between cooling and heating modes, making it more efficient. Experimental validation confirmed the system’s capability to accurately simulate supply chain conditions while keeping errors within reasonable margins. The chamber serves as a physical twin of the postharvest chain to, through predictive modeling, evaluate product shelf life and reduce their waste.

References

Blanco - Lizarazo, C. M. et al. (2024). Multivariate shelf life model for postharvest Agaricus bisporus at different temperatures. Postharvest Biology and Technology, 217, 113106. https://doi.org/10.1016/J.POSTHARVBIO.2024.113106

Charpe, A. M., Sedani, S. R., Murumkar, R. P., & Bhad, R. G. (2019). Effect of Temperature on Microbial Growth in Food During Storage. www.ycjournal.net

Choosuk, N., Meesuk, P., Renumarn, P., Phungamngoen, C., & Jakkranuhwat, N. (2022). Kinetic Modeling of Quality Changes and Shelf Life Prediction of Dried Coconut Chips. Processes, 10(7). https://doi.org/10.3390/pr10071392

FAO, IFAD, UNICEF, WFP, & WHO. (2024). The State of Food Security and Nutrition in the World 2024. https://doi.org/10.4060/cd1254en

Garrido-López, J. et al. (2024). Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design. Applied Sciences, 14(23), 11050. https://doi.org/10.3390/APP142311050

Hoffmann, T. G., Meinert, C., Ormelez, F., Campani, M., Bertoli, S. L., Ender, L., & De Souza, C. K. (2022). Fresh food shelf-life improvement by humidity regulation in domestic refrigeration. Procedia Computer Science, 217, 826–834. https://doi.org/10.1016/j.procs.2022.12.279

Mahmood, M. H., Sultan, M., & Miyazaki, T. (2019). Significance of Temperature and Humidity Control for Agricultural Products Storage: Overview of Conventional and Advanced Options. International Journal of Food Engineering. https://doi.org/10.1515/ijfe-2019-0063

Skogestad, S., & Grimholt, C. (2012). The SIMC method for smooth PID controller tuning. In Issue 9781447124245, Pages 147 - 175 (Issue 9781447124245, pp. 147–175). Springer International Publishing. https://doi.org/10.1007/978-1-4471-2425-2_5

United Nations. (2024). THE 17 GOALS | Sustainable Development. https://sdgs.un.org/es/goals

Downloads

Published

2025-09-01

Issue

Section

Ingeniería de Control