Feature selection for coal heating level estimation in thermal power plants
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Several recently signed environmental agreements and protocols emphasize the global need to reduce greenhouse gas emissions, with a focus on limiting coal consumption due to high NOX and CO2 emissions. However, many countries, including those in the Western Balkans, rely heavily on coal for electricity generation. The outdated thermal power plant infrastructure in these regions poses a major challenge when it comes to meeting modern environmental standards while maintaining efficiency. This study is part of the more comprehensive research which aims to develop an expert system that utilizes existing measurements to estimate key parameters crucial for both energy production and pollution reduction. The focus is on Serbian thermal power plants, particularly plant "Nikola Tesla" unit B1. One of the critical parameters for optimizing thermal power plant control loops is the heating value of coal, which is challenging to measure in real time due to the coal's varying chemical compositions a...nd caloric values. This paper examines 74 different parameters measured in 59 instances to estimate the hating value of coal at unit B1. Through detailed analysis and feature selection methods, including linear regression, this research aims to identify the most informative parameters for estimating the heating value of coal, which will improve the control system that enables more efficient and environmentally friendly power generation in coal fired thermal power plants.
Keywords:
feature selection / linear regression / thermal power plants / coal heating valueSource:
Thermal Science, 2024, 28, 4A, 3121-3140Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200103 (University of Belgrade, Faculty of Electrical Engineering) (RS-MESTD-inst-2020-200103)
- Science Fund of the Republic of Serbia [1375/2023, NOx Reduction Based Thermal Power Plant Optimization – NOXTROT]
DOI: 10.2298/TSCI240124124V
ISSN: 0354-9836; 2334-7163
Scopus: 2-s2.0-85200895761
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VinčaTY - JOUR AU - Vujnović, Sanja AU - Cvetinović, Dejan AU - Bakić, Vukman AU - Đurović, Željko PY - 2024 UR - https://vinar.vin.bg.ac.rs/handle/123456789/13343 AB - Several recently signed environmental agreements and protocols emphasize the global need to reduce greenhouse gas emissions, with a focus on limiting coal consumption due to high NOX and CO2 emissions. However, many countries, including those in the Western Balkans, rely heavily on coal for electricity generation. The outdated thermal power plant infrastructure in these regions poses a major challenge when it comes to meeting modern environmental standards while maintaining efficiency. This study is part of the more comprehensive research which aims to develop an expert system that utilizes existing measurements to estimate key parameters crucial for both energy production and pollution reduction. The focus is on Serbian thermal power plants, particularly plant "Nikola Tesla" unit B1. One of the critical parameters for optimizing thermal power plant control loops is the heating value of coal, which is challenging to measure in real time due to the coal's varying chemical compositions and caloric values. This paper examines 74 different parameters measured in 59 instances to estimate the hating value of coal at unit B1. Through detailed analysis and feature selection methods, including linear regression, this research aims to identify the most informative parameters for estimating the heating value of coal, which will improve the control system that enables more efficient and environmentally friendly power generation in coal fired thermal power plants. T2 - Thermal Science T1 - Feature selection for coal heating level estimation in thermal power plants VL - 28 IS - 4A SP - 3121 EP - 3140 DO - 10.2298/TSCI240124124V ER -
@article{ author = "Vujnović, Sanja and Cvetinović, Dejan and Bakić, Vukman and Đurović, Željko", year = "2024", abstract = "Several recently signed environmental agreements and protocols emphasize the global need to reduce greenhouse gas emissions, with a focus on limiting coal consumption due to high NOX and CO2 emissions. However, many countries, including those in the Western Balkans, rely heavily on coal for electricity generation. The outdated thermal power plant infrastructure in these regions poses a major challenge when it comes to meeting modern environmental standards while maintaining efficiency. This study is part of the more comprehensive research which aims to develop an expert system that utilizes existing measurements to estimate key parameters crucial for both energy production and pollution reduction. The focus is on Serbian thermal power plants, particularly plant "Nikola Tesla" unit B1. One of the critical parameters for optimizing thermal power plant control loops is the heating value of coal, which is challenging to measure in real time due to the coal's varying chemical compositions and caloric values. This paper examines 74 different parameters measured in 59 instances to estimate the hating value of coal at unit B1. Through detailed analysis and feature selection methods, including linear regression, this research aims to identify the most informative parameters for estimating the heating value of coal, which will improve the control system that enables more efficient and environmentally friendly power generation in coal fired thermal power plants.", journal = "Thermal Science", title = "Feature selection for coal heating level estimation in thermal power plants", volume = "28", number = "4A", pages = "3121-3140", doi = "10.2298/TSCI240124124V" }
Vujnović, S., Cvetinović, D., Bakić, V.,& Đurović, Ž.. (2024). Feature selection for coal heating level estimation in thermal power plants. in Thermal Science, 28(4A), 3121-3140. https://doi.org/10.2298/TSCI240124124V
Vujnović S, Cvetinović D, Bakić V, Đurović Ž. Feature selection for coal heating level estimation in thermal power plants. in Thermal Science. 2024;28(4A):3121-3140. doi:10.2298/TSCI240124124V .
Vujnović, Sanja, Cvetinović, Dejan, Bakić, Vukman, Đurović, Željko, "Feature selection for coal heating level estimation in thermal power plants" in Thermal Science, 28, no. 4A (2024):3121-3140, https://doi.org/10.2298/TSCI240124124V . .