Forecasting Potential Resources of Humic Substances in the Ukrainian Lignite

Serhiy Pyshyev (), Denis Miroshnichenko, Mariia Shved, Volodymyr Riznyk, Halyna Bilushchak, Olexandr Borisenko, Mikhailo Miroshnychenko and Yurii Lypko
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Serhiy Pyshyev: Department of Chemical Technology of Oil and Gas Processing, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine
Denis Miroshnichenko: The Department of Oil, Gas and Solid Fuel Refining Technologies, Kharkiv Polytechnic Institute, National Technical University, 61002 Kharkiv, Ukraine
Mariia Shved: The Department of Information Security, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine
Volodymyr Riznyk: The Department of Automated Control Systems, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine
Halyna Bilushchak: The Department of Computational Mathematics and Programming, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine
Olexandr Borisenko: Ukrainian State Scientific Research Institute of Coal Chemistry, 7 Vesnina str, 61023 Kharkiv, Ukraine
Mikhailo Miroshnychenko: The Department of Oil, Gas and Solid Fuel Refining Technologies, Kharkiv Polytechnic Institute, National Technical University, 61002 Kharkiv, Ukraine
Yurii Lypko: Department of Chemical Technology of Oil and Gas Processing, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine

Resources, 2025, vol. 14, issue 8, 1-13

Abstract: The present research deals with forecasting the potential content of humic acids (HA) in Ukrainian lignite based on the coal’s physicochemical characteristics. The focus is on developing an experimental–statistical model that considers moisture content, volatile matter yield, and calorific value of lignite. The development of the humic acid yield’s dependence on some lignite parameters is based on both original research data and literature sources. Humic acids were extracted using alkaline solutions, and HA content was calculated for various lignite deposits in Ukraine. The adequacy check of the model showed a relative prediction error of up to 12%, indicating good agreement between the model and experimental data. The highest potential yield of humic acids was recorded for lignite from the Dnipropetrovsk region (Dnieper-Donets Basin), amounting to 53–56 wt.%. The presented results demonstrate the feasibility of using mathematical forecasting to assess the industrial potential of humic acid production from lignite.

Keywords: lignite; humic acids; mathematical modeling; extraction; forecasting (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2025
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