Coal and petroleum-derived components for high-moisture fuel slurries
Kseniya Vershinina,
Sergei Shevyrev and
Pavel Strizhak
Energy, 2021, vol. 219, issue C
Abstract:
Slurry fuels based on coal and waste oil can be a viable alternative to coal in terms of environmental, cost, and energy performance. This paper presents a database of promising components for such fuels based on the experimental characteristics of their ignition and combustion. When analyzing the properties of high-potential components, we classified those components into four groups in terms of normalized ash and sulfur content. The components within each group have comparable ignition characteristics: ignition delay time, duration of complete combustion, maximum combustion temperature, and ignition temperature. Using the newly created database and results of experiments on highly heterogeneous fuels, one can predict the conditions and special aspects of their combustion in power plants of various capacities. The key outcome of the research is the procedural database and algorithm for selecting combustible components of slurry fuels with high relative efficiency for the heat and electricity generation in typical coal-fired power stations and boiler plants.
Keywords: Fuel slurry; Composite Liquid Fuel; Industrial waste; Coal slime; Ignition; Combustion (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220327134
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:energy:v:219:y:2021:i:c:s0360544220327134
DOI: 10.1016/j.energy.2020.119606
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().