Sustainable solar greenhouse drying of tomatoes: Kinetic modeling and environmental burden reduction

Abstract The novelty of this study is the application of a dynamic dual‐mode aeration system (DDMA) within greenhouse solar dryers for tomato drying. The system was evaluated using two greenhouse solar dryer (GHSD) configurations, namely a flat‐roof GHSD and a gable‐roof GHSD, with tomato samples prepared as 6 mm slices, quarters, and halves under salted and unsalted conditions. The dryers were compared with open sun drying (OSD) under Aswan, Egypt climatic conditions, where solar radiation ranged from 108 to 880 W/m 2 , ambient temperature from 24 to 42.3°C, and wind speed from 0 to 0.2 m/s. Drying behavior was strongly affected by dryer configuration, sample geometry, and salt pretreatment. The gable‐roof GHSD provided the fastest moisture removal, particularly for salted slices, which reached approximately 8.06% w.b. within 10 h, corresponding to a 44.4% reduction in drying time compared with OSD. The peak drying rate reached approximately 4.5 g water /g dry matter ·h for salted slices in the gable‐roof GHSD. Effective moisture diffusivity ranged from 0.58 to 2.65 × 10 −10 m 2 /s in the flat‐roof GHSD and from 0.70 to 2.84 × 10 −10 m 2 /s in the gable‐roof GHSD. Water‐removal productivity reached up to 0.140 kg water/h, while normalized carbon‐emission mitigation reached 1.608 kg CO 2 ‐eq/batch per 1 kWh kg −1 water. Thin‐layer modeling showed strong agreement between experimental and predicted moisture‐ratio data. These findings indicate that DDMA‐assisted GHSDs can provide a practical low‐carbon route for tomato drying and offer a basis for future scale‐up, quality optimization, and integration with renewable‐energy‐based postharvest processing systems.

Authors

Institutions

Publication Details

Journal
Environmental Progress & Sustainable Energy
Published
2026-07-30
DOI
https://doi.org/10.1002/ep.70580
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable solar greenhouse drying of tomatoes: Kinetic modeling and environmental burden reduction

Abdallah Elshawadfy Elwakeel, Atef Fathy Ahmed, Mohamed Mahmoud Alsebiey, Wael A. Omar
Environmental Progress & Sustainable Energy
Food Drying and Modeling
article

Sustainable solar greenhouse drying of tomatoes: Kinetic modeling and environmental burden reduction

Abdallah Elshawadfy Elwakeel, Atef Fathy Ahmed, Mohamed Mahmoud Alsebiey, Wael A. Omar
article en

Abstract

Abstract The novelty of this study is the application of a dynamic dual‐mode aeration system (DDMA) within greenhouse solar dryers for tomato drying. The system was evaluated using two greenhouse solar dryer (GHSD) configurations, namely a flat‐roof GHSD and a gable‐roof GHSD, with tomato samples prepared as 6 mm slices, quarters, and halves under salted and unsalted conditions. The dryers were compared with open sun drying (OSD) under Aswan, Egypt climatic conditions, where solar radiation ranged from 108 to 880 W/m 2 , ambient temperature from 24 to 42.3°C, and wind speed from 0 to 0.2 m/s. Drying behavior was strongly affected by dryer configuration, sample geometry, and salt pretreatment. The gable‐roof GHSD provided the fastest moisture removal, particularly for salted slices, which reached approximately 8.06% w.b. within 10 h, corresponding to a 44.4% reduction in drying time compared with OSD. The peak drying rate reached approximately 4.5 g water /g dry matter ·h for salted slices in the gable‐roof GHSD. Effective moisture diffusivity ranged from 0.58 to 2.65 × 10 −10 m 2 /s in the flat‐roof GHSD and from 0.70 to 2.84 × 10 −10 m 2 /s in the gable‐roof GHSD. Water‐removal productivity reached up to 0.140 kg water/h, while normalized carbon‐emission mitigation reached 1.608 kg CO 2 ‐eq/batch per 1 kWh kg −1 water. Thin‐layer modeling showed strong agreement between experimental and predicted moisture‐ratio data. These findings indicate that DDMA‐assisted GHSDs can provide a practical low‐carbon route for tomato drying and offer a basis for future scale‐up, quality optimization, and integration with renewable‐energy‐based postharvest processing systems.

Environmental Progress & Sustainable Energy
Taif University (SA), Aswan University (EG)
Openalex Percentile: Top 12%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.