Efficient Microwave-Assisted Drying of Dairy Manure towards Biofuel Potential

The sustainability of thermochemical conversion processes is required to be enhanced by energy efficiency of drying of high-moisture biomass. This paper examines the microwave-assisted drying of dairy manure at different microwave power levels (400–800 W), temperatures (110–15 °C) and feedstock loads (10–50 g). Microwave power increased heating rate dramatically in the preheating phase, increasing the heating time of 503 s at 400 W to 162 s at 800 W (67.8% decreases) with no significant rise in total energy use. The sample temperature leveled at 95–100 °C during the drying process, which was the constant-rate evaporation stage. The rise in feedstock load, conversely, decelerated the heating and drying process because of lowered energy input per unit mass and a rise in internal transport resistance. The ratio of the power to mass was important in shaping the drying behavior. Apparently, volumetric microwave heating produces a high degree of internal vapor pressure that causes rapid mass loss at 700 W and 30 g and promotes the migration of moisture. But at high power (800 W) the surface became hard, and the transfer of mass was slowed down in the subsequent drying phase. A power of 700 W and a weight of 30 g gave the optimal drying performance.

Authors

Institutions

Publication Details

Journal
Green energy and fuel research.
Published
2026-05-22
DOI
https://doi.org/10.53941/gefr.2026.100005
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Microwave-Assisted Drying of Dairy Manure towards Biofuel Potential

Muhammad Yasin Naz, Noor Ul Huda Altaf, Yaning Zhang, Yifan Wang et al.
Green energy and fuel research.
Food Drying and Modeling
article

Efficient Microwave-Assisted Drying of Dairy Manure towards Biofuel Potential

Muhammad Yasin Naz, Noor Ul Huda Altaf, Yaning Zhang, Yifan Wang, Tirto Prakoso
article en

Abstract

The sustainability of thermochemical conversion processes is required to be enhanced by energy efficiency of drying of high-moisture biomass. This paper examines the microwave-assisted drying of dairy manure at different microwave power levels (400–800 W), temperatures (110–15 °C) and feedstock loads (10–50 g). Microwave power increased heating rate dramatically in the preheating phase, increasing the heating time of 503 s at 400 W to 162 s at 800 W (67.8% decreases) with no significant rise in total energy use. The sample temperature leveled at 95–100 °C during the drying process, which was the constant-rate evaporation stage. The rise in feedstock load, conversely, decelerated the heating and drying process because of lowered energy input per unit mass and a rise in internal transport resistance. The ratio of the power to mass was important in shaping the drying behavior. Apparently, volumetric microwave heating produces a high degree of internal vapor pressure that causes rapid mass loss at 700 W and 30 g and promotes the migration of moisture. But at high power (800 W) the surface became hard, and the transfer of mass was slowed down in the subsequent drying phase. A power of 700 W and a weight of 30 g gave the optimal drying performance.

Green energy and fuel research.Vol. 3(2)
Bandung Institute of Technology (ID), Harbin Institute of Technology (CN), University of Faisalabad (PK), University of Agriculture Faisalabad (PK)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
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.