Bee Bread Drying Process Intensification in Combs Using Solar Energy

This study presents the development and evaluation of a stand-alone solar dryer designed to improve the efficiency of bee bread dehydration. Unlike the electric prototype powered by conventional energy sources, the proposed system operates autonomously, utilizing solar energy as the primary drying agent. The drying chamber is equipped with solar collectors located in its lower section, which ensure convective heating of the product. Active convection is generated by a set of fans powered by photovoltaic panels, maintaining the drying agent’s temperature near 42 °C. The research methodology integrates both numerical simulation and experimental investigation. Simulations focus on the variations in temperature (288–315 K) and relative humidity (1–1.5%) within the honeycomb structure under convective airflow. Experimental trials examine the relationship between moisture content and variables such as bee bread mass, airflow rate, number of frames (5–11 units), and drying time (2–11 h). A statistically grounded analysis based on an experimental design method was conducted, revealing a reduction in moisture content from 16.2–18.26% to 14.1–15.1% under optimized conditions. Linear regression models were derived to describe these dependencies. A comparative assessment using enthalpy–humidity (I–d) diagrams demonstrated the enhanced drying performance of the solar dryer, which is attributed to its cyclic operation mode. The results confirm the potential of the developed system for sustainable and energy-efficient drying of bee bread in decentralized conditions.

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Publication Details

Journal
Energies
Published
2025-04-27
DOI
https://doi.org/10.3390/en18092226
Citations
1
Primary Topic
Bee Products Chemical Analysis
Type
article
Field-Weighted Citation Impact
1.67
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article

Bee Bread Drying Process Intensification in Combs Using Solar Energy

Adilkhan Niyazbayev, Марат Хазимов, Aliya Tursynzhanova, Kanat Khazimov et al.
1 citations
Energies
Bee Products Chemical Analysis
1.67
article

Bee Bread Drying Process Intensification in Combs Using Solar Energy

Adilkhan Niyazbayev, Марат Хазимов, Aliya Tursynzhanova, Kanat Khazimov, Baydaulet Urmashev, Francesco Garbati Pegna, Vladimir Nekrashevich, Даулет Тойбазар, Indira Daurenova
article en
1 citations

Abstract

This study presents the development and evaluation of a stand-alone solar dryer designed to improve the efficiency of bee bread dehydration. Unlike the electric prototype powered by conventional energy sources, the proposed system operates autonomously, utilizing solar energy as the primary drying agent. The drying chamber is equipped with solar collectors located in its lower section, which ensure convective heating of the product. Active convection is generated by a set of fans powered by photovoltaic panels, maintaining the drying agent’s temperature near 42 °C. The research methodology integrates both numerical simulation and experimental investigation. Simulations focus on the variations in temperature (288–315 K) and relative humidity (1–1.5%) within the honeycomb structure under convective airflow. Experimental trials examine the relationship between moisture content and variables such as bee bread mass, airflow rate, number of frames (5–11 units), and drying time (2–11 h). A statistically grounded analysis based on an experimental design method was conducted, revealing a reduction in moisture content from 16.2–18.26% to 14.1–15.1% under optimized conditions. Linear regression models were derived to describe these dependencies. A comparative assessment using enthalpy–humidity (I–d) diagrams demonstrated the enhanced drying performance of the solar dryer, which is attributed to its cyclic operation mode. The results confirm the potential of the developed system for sustainable and energy-efficient drying of bee bread in decentralized conditions.

EnergiesVol. 18(9)
Kazakh-British Technical University (KZ), Al-Farabi Kazakh National University (KZ), Almaty University of Power Engineering and Telecommunications (KZ), Kazakh National Agrarian Research University (KZ), Ryazan State Agrotechnological University (RU), University of Florence (IT)
Openalex Percentile: Top 19%
Bee Products Chemical Analysis
1.67
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