| Issue |
E3S Web Conf.
Volume 693, 2026
International Process Metallurgy Conference (IPMC 2025)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 5 | |
| Section | Mineral Processing and Coal Upgrading | |
| DOI | https://doi.org/10.1051/e3sconf/202669301001 | |
| Published online | 09 February 2026 | |
Application of Electric Field for Rapid Estimation of Coal Quality
1 Center for Applied ECVT and Industrial Research, CTech Labs Edwar Teknologi, Tangerang, Banten, Indonesia 15141
2 Advanced Materials and Tomography Laboratory, Faculty of Engineering, Universitas Sultan Ageng Tirtayasa, Cilegon, Banten, Indonesia 42435
3 Department of Metallurgical Engineering, Faculty of Engineering, Universitas Sultan Ageng Tirtayasa, Cilegon, Banten, Indonesia 42435
4 Structural Strength Technology Research Center, National Research and Innovation Agency, South Tangerang, Banten, Indonesia 15314
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Rapid and non-destructive evaluation of coal quality is critical for optimizing energy production and mining operations. This study investigates the application of a capacitive impedance-based approach as an alternative technique for estimating the relative dielectric properties of coal, which are key indicators in proximate analysis. Coal samples were characterized using electric field–based measurements and compared with conventional proximate analysis methods. The measurements employed a capacitive impedance system operating under low-frequency AC excitation to capture dielectric response parameters associated with moisture content. Subsequent linear and quadratic regression analyses were performed to assess the correlations between methods. The results demonstrated a positive correlation with acceptable relative deviations, supporting the feasibility of this technique for preliminary quality assessment. Furthermore, composite variables incorporating both capacitive measurements and ash content yielded significantly improved predictive performance. These findings indicate that capacitive impedance analysis offers a promising, rapid, and non-destructive alternative for estimating coal moisture content, particularly suited for field applications and early-stage quality control.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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