Optimization time and energy efficiency of maritime cyclic vacuum wood drying through A theoretical model of heat and moisture transfer

• A one-dimensional model for maritime cyclic vacuum wood drying using a boiling front concept. • Validated model shows good agreement with experimental data, supporting practical maritime applications. • The model provides an optimized method for enhancing vacuum and heat wood drying processes. • Optimizes drying for various wood species, adapting to shipping routes and energy use. • Promotes eco-friendly drying by utilizing ship engine waste heat, reducing carbon emission. Utilizing ship engine waste heat for convective cyclic vacuum drying of wood during maritime transport offers an efficient, eco-friendly alternative to conventional drying, addressing challenges like space, energy, time, and environmental impact. However, limitations include transportation time, waste heat availability, and reliance on manual control, which may cause drying defects. This study develops a one-dimensional model based on the boiling front concept, simplified using the diffusion equation, to describe heat and moisture transfer. Solved via the finite volume method in MATLAB, the model predicts drying dynamics for 42.12 m 3 of Larix gmelinii, reducing moisture content from 40 % to 23 % with 9.022 × 10 7 kJ over two cycles: 70 min heating/560 min vacuum, then 66 min heating/11 days vacuum. Findings enable rapid prediction of drying time and energy for various species and conditions, supporting automated control and adapting to shipping route changes, advancing the timber drying industry.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2025-04-01
DOI
https://doi.org/10.1016/j.ecmx.2025.101017
Citations
1
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization time and energy efficiency of maritime cyclic vacuum wood drying through A theoretical model of heat and moisture transfer

Hua Qian, Yuqing Ding
1 citations
Energy Conversion and Management X
Textile materials and evaluations
0.61
article

Optimization time and energy efficiency of maritime cyclic vacuum wood drying through A theoretical model of heat and moisture transfer

Hua Qian, Yuqing Ding
article en
1 citations

Abstract

• A one-dimensional model for maritime cyclic vacuum wood drying using a boiling front concept. • Validated model shows good agreement with experimental data, supporting practical maritime applications. • The model provides an optimized method for enhancing vacuum and heat wood drying processes. • Optimizes drying for various wood species, adapting to shipping routes and energy use. • Promotes eco-friendly drying by utilizing ship engine waste heat, reducing carbon emission. Utilizing ship engine waste heat for convective cyclic vacuum drying of wood during maritime transport offers an efficient, eco-friendly alternative to conventional drying, addressing challenges like space, energy, time, and environmental impact. However, limitations include transportation time, waste heat availability, and reliance on manual control, which may cause drying defects. This study develops a one-dimensional model based on the boiling front concept, simplified using the diffusion equation, to describe heat and moisture transfer. Solved via the finite volume method in MATLAB, the model predicts drying dynamics for 42.12 m 3 of Larix gmelinii, reducing moisture content from 40 % to 23 % with 9.022 × 10 7 kJ over two cycles: 70 min heating/560 min vacuum, then 66 min heating/11 days vacuum. Findings enable rapid prediction of drying time and energy for various species and conditions, supporting automated control and adapting to shipping route changes, advancing the timber drying industry.

Energy Conversion and Management XVol. 26
Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Textile materials and evaluations
0.61
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.