Performance evaluation of a biomass-fired parallel-flow tray dryer for orthodox black tea processing

The uniform and efficient drying process is still a big problem in the decentralized orthodox tea industry, especially in the field of using cost-effective and eco-friendly thermal drying equipment. In this study, an experimental evaluation of a biomass-fired parallel-flow tray dryer with 15° inclined airflow-guiding plates was conducted to explore the drying performance, moisture uniformity, and energy-efficiency for the drying system. For processing an 11 kg tea batch, seven tea trays with perforations were used, and the temperature, airflow velocity and sample mass were systematically monitored. The drying chamber had a temperature of about 70–100 °C and the process was finished in 199 min, with the increase in the inlet velocity from 2.0 to 2.5 m s⁻¹ by opening the airflow-control valve. Spatial non-uniformity of drying was observed with final moisture contents of 9.18% and 4.63% at 2 monitoring positions. The total moisture removal efficiency was estimated at 3.11%, which shows great potential for thermal optimization. The Page model was selected as the best model over the Lewis model and was not validated independently. This data is preliminary quantitative evidence for engineering decisions related to the regulation of airflow, combustion control and heat recovery. The prototype has potential to be decentralized tea processing system but needs to be replicated for testing and optimize the heat management before commercialization.

Authors

Institutions

Publication Details

Journal
Computer and decision making.
Published
2026-10-29
DOI
https://doi.org/10.1922/comdem.v3i6s.18778
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

Performance evaluation of a biomass-fired parallel-flow tray dryer for orthodox black tea processing

Ajoy Krishna Dutta, Deva Kanta Rabha
Computer and decision making.
Food Drying and Modeling
article

Performance evaluation of a biomass-fired parallel-flow tray dryer for orthodox black tea processing

Ajoy Krishna Dutta, Deva Kanta Rabha
article en

Abstract

The uniform and efficient drying process is still a big problem in the decentralized orthodox tea industry, especially in the field of using cost-effective and eco-friendly thermal drying equipment. In this study, an experimental evaluation of a biomass-fired parallel-flow tray dryer with 15° inclined airflow-guiding plates was conducted to explore the drying performance, moisture uniformity, and energy-efficiency for the drying system. For processing an 11 kg tea batch, seven tea trays with perforations were used, and the temperature, airflow velocity and sample mass were systematically monitored. The drying chamber had a temperature of about 70–100 °C and the process was finished in 199 min, with the increase in the inlet velocity from 2.0 to 2.5 m s⁻¹ by opening the airflow-control valve. Spatial non-uniformity of drying was observed with final moisture contents of 9.18% and 4.63% at 2 monitoring positions. The total moisture removal efficiency was estimated at 3.11%, which shows great potential for thermal optimization. The Page model was selected as the best model over the Lewis model and was not validated independently. This data is preliminary quantitative evidence for engineering decisions related to the regulation of airflow, combustion control and heat recovery. The prototype has potential to be decentralized tea processing system but needs to be replicated for testing and optimize the heat management before commercialization.

Computer and decision making.Vol. 3(6S)
Assam Science and Technology University (IN), Jorhat Engineering College (IN)
Openalex Percentile: Top 15%
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.

Laika access coming soon