Mineral coal presents a historical chronology to society, mainly regarding energy generation, and is outstanding in relation to oil when the subject is electricity generation, besides being utilized in the cosmetics and coal gas industry. Thus, the production chain that uses mineral coal must be validated for quality, considering specific prerequisites that show the positivity of this analysis. For this purpose, the present study was characterized by a Systematic Literature Review (SLR), aiming to identify scientific productions that listed the topic of mineral coal quality considering the Science Direct database. In this way, based on the combination of the term “coal quality”, the search found 1794 results, covering the period from 2010 to 2022. The articles that dealt specifically with methods to analyze the quality of mineral coal were classified in order to develop the study. Furthermore, it was found that few publications really discuss the qualification of the coal as their central topic, since the manuscripts showed measurement methods connected to algorithms and the use of mathematical calculations. A gap was also observed in the studies, because they did not consider the coal production chain and the necessary management between the parts of the process, evidencing as a proposition for future work a methodology applied to a computational model that covers the management of coal quality.
Cite this paper
Fernandes, F. R. , Zingano, A. C. and Marcelino, R. (2022). Methodology for the Analysis of Coal Quality: A Systematic Literature Review. Open Access Library Journal, 9, e9365. doi: http://dx.doi.org/10.4236/oalib.1109365.
Champier, D. (2017) Thermoelectric Generators: A Review of Applications. Energy Conversion and Management, 140, 167-181.
https://doi.org/10.1016/j.enconman.2017.02.070
Castelo Branco, D.A., Moura, M.C.P., Szklo, A. and Schaeffer, R. (2013) Emissions Reduction Potential from CO2 Capture: A Life-Cycle Assessment of a Brazilian coal-Fired Power Plant. Energy Policy, 61, 1221-1235.
https://doi.org/10.1016/j.enpol.2013.06.043
Fallavena, V.L.V., et al. (2013) Caracterização detalhada de material de referência certificado de carvão brasileiro. Química Nova, 36, 859-864.
https://doi.org/10.1590/S0100-40422013000600020
Senado Federal (2022) Sancionada política de apoio ao setor carbonífero de Santa Catarina. https://www12.senado.leg.br/noticias/materias/2022/01/06/sancionada-politica-de-apoio-ao-setor-carbonifero-de-santa-catarina
Pereira, L.U. and Campos, L.O.D. (2016) A competência regulamentar da Aneel: Limites de atuação sob a ótica do caso da resolução 500/2012. Revista de Direito, Economia e Desenvolvimento Sustentável, 2, 250-270.
https://doi.org/10.26668/IndexLawJournals/2526-0057/2016.v2i1.1681
Koppe, J.C. and Costa, F.C.L. (2008) A lavra de carvão e o meio ambiente em Santa Catarina. In: Soares, P.S.M., dos Santos, M.D.C. and Possa, M.V., Eds., Carvão Brasileiro: Tecnologia e meio ambiente, CETEM/MCT, Rio de Janeiro, 25-38.
http://mineralis.cetem.gov.br/bitstream/cetem/2039/1/carvao_brasileiro_tecnologia_e_meio_ambiente.pdf
Chaves, A.P. (2008) Os problemas do carvão em geral e do carvão brasileiro em particular. In: Soares, P.S.M., dos Santos, M.D.C. and Possa, M.V., Eds., Carvão Brasileiro: Tecnologia e Meio Ambiente, CETEM/MCT, Rio de Janeiro, 13-24.
http://mineralis.cetem.gov.br/bitstream/cetem/2039/1/carvao_brasileiro_tecnologia_e_meio_ambiente.pdf
Branco, P.M. (2014) Carvão Mineral (Serviço Geológico do Brasil).
http://www.cprm.gov.br/publique/SGB-Divulga/Canal-Escola/Carvao-Mineral-2558.html#:~:text=A%20turfa%20pode%20ter%20de,(8%%20a%2010%)
Trade Map (2022) Lista de los países exportadores para el producto seleccio-nado en 2021 (2701 Hullas; briquetas, ovoides y combustibles sólidos simil., obtenidos de la hulla).
https://www.trademap.org/Country_SelProduct.aspx?nvpm=3|||||2701|||4|1|1|2|1|1|2|1|1|1
Negócios, é. (2021) Os três maiores consumidores de carvão do mundo devem aumentar demanda em 2021.
https://epocanegocios.globo.com/Um-So-Planeta/noticia/2021/03/os-tres-maiores-consumidores-de-carvao-do-mundo-devem-aumentar-demanda-em-2021.html
Lopes, M. (2017) Carvão mineral no brasil e no mundo—tudo sobre mineração. Portal Técnico em Mineração.
https://tecnicoemineracao.com.br/carvao-mineral-no-brasil-e-no-mundo/
Schneider, C.H. (2008) Evolução da gestão ambiental na indústria carbonífera em Santa Catarina: Um caso de sucesso. In: Soares, P.S.M., dos Santos, M.D.C. and Possa, M.V., Eds., Carvão Brasileiro: Tecnologia e meio ambiente, CETEM/MCT, Rio de Janeiro, 39-56.
http://mineralis.cetem.gov.br/bitstream/cetem/2039/1/carvao_brasileiro_tecnologia_e_meio_ambiente.pdf
Galvão, M.C.B. and Ricarte, I.L.M. (2019) Revisão Sistemática da Literatura: Conceituação, produção epublicação. Logeion: Filosofia da Informação, 6, 57-73.
https://doi.org/10.21728/logeion.2019v6n1.p57-73
Cordeiro, A.M., Oliveira, G.M.D., Rentería J.M., and Guimarães, C.A. (2007) Revisão sistemática: Uma revisão narrative. Revista do Colégio Brasileiro de Cirurgiões, 34, 428-431. https://doi.org/10.1590/S0100-69912007000600012
Chelgani, S.C., Matin, S.S. and Hower, J.C. (2016) Explaining Relationships between Coke Quality Index and Coal Properties by Random Forest Method. Fuel, 182, 754-760.
https://doi.org/10.1016/j.fuel.2016.06.034
Kotteeswaran, R. and Sivakumar, L. (2014) Performance Evaluation of Optimal PI Controller for ALSTOM Gasifier during Coal Quality Variations. Journal of Process Control, 24, 27-36. https://doi.org/10.1016/j.jprocont.2013.10.006
Mishra, V., Bhowmick, T., Chakravarty, S., Varma, A.K. and Sharma, M. (2016) Influence of Coal Quality on Combustion Behaviour and Mineral Phases Transformations. Fuel, 186, 443-455. https://doi.org/10.1016/j.fuel.2016.08.092
Zhou, B. and O’Brien, G. (2016) Improving Coal Quality Estimation through Multiple Geophysical log Analysis. International Journal of Coal Geology, 167, 75-92.
https://doi.org/10.1016/j.coal.2016.09.013
Guo, L., Zhai, M., Wang, Z., Zhang, Y. and Dong, P. (2018) Comprehensive Coal Quality Index for Evaluation of Coal Agglomeration Characteristics. Fuel, 231, 379-386.
https://doi.org/10.1016/j.fuel.2018.05.119
Bandyopadhyay, S. and Maiti, S.K. (2021) Application of Statistical and Machine Learning Approach for Prediction of Soil Quality Index Formulated to Evaluate Trajectory of Ecosystem Recovery in Coal Mine Degraded Land. Ecological Engineering, 170, Article ID: 106351. https://doi.org/10.1016/j.ecoleng.2021.106351
Yüksel, C., Thielemann, T., Wambeke, T. and Benndorf, J. (2016) Real-Time Resource Model Updating for Improved Coal Quality Control Using Online Data. International Journal of Coal Geology, 162, 61-73.
https://doi.org/10.1016/j.coal.2016.05.014