Intensity dependent features of the light-induced gasification of the waste-derived coal-water compositions
Roman I. Egorov,
Alexander S. Zaitsev,
Hong Li,
Xin Gao and
Pavel A. Strizhak
Renewable Energy, 2020, vol. 146, issue C, 1667-1675
Abstract:
Nowadays, the recovery of combustible industrial waste is a very popular approach to supply cheap fuel to various consumers. However, due to the physical and chemical properties of the waste, it requires special preparation to be used effectively. The main features of the direct light-induced conversion of waste-derived coal-water compositions to syngas were investigated. Unlike classical techniques, the proposed method involves solar light, which is a renewable energy source. The fundamental intensity thresholds were shown when fuel was gasified by nanosecond pulses (8J/cm2) and continuous wave laser light (700−800W/cm2). Such light flow parameters are fully achievable by solar radiation. The dependencies of syngas component concentrations on the light intensity were shown as well as similar dependencies for the conversion rate and specific conversion energy (∼3.5MJ/kg for optimal gasification conditions).
Keywords: waste-derived fuel; Light-induced gasification; Laser; Syngas; Waste recovery (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119311668
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:146:y:2020:i:c:p:1667-1675
DOI: 10.1016/j.renene.2019.07.146
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().