THERMAL SCIENCE

International Scientific Journal

IMPROVEMENT OF ENVIRONMENTAL ASPECTS OF THERMAL POWER PLANT OPERATION BY ADVANCED CONTROL CONCEPTS

ABSTRACT
The necessity of the reduction of greenhouse gas emissions, as formulated in the Kyoto Protocol, imposes the need for improving environmental aspects of existing thermal power plants operation. Improvements can be reached either by efficiency increment or by implementation of emission reduction measures. Investments in refurbishment of existing plant components or in plant upgrading by flue gas desulphurization, by primary and secondary measures of nitrogen oxides reduction, or by biomass co-firing, are usually accompanied by modernisation of thermal power plant instrumentation and control system including sensors, equipment diagnostics and advanced controls. Impact of advanced control solutions implementation depends on technical characteristics and status of existing instrumentation and control systems as well as on design characteristics and actual conditions of installed plant components. Evaluation of adequacy of implementation of advanced control concepts is especially important in Western Balkan region where thermal power plants portfolio is rather diversified in terms of size, type and commissioning year and where generally poor maintenance and lack of investments in power generation sector resulted in high greenhouse gases emissions and low efficiency of plants in operation. This paper is intended to present possibilities of implementation of advanced control concepts, and particularly those based on artificial intelligence, in selected thermal power plants in order to increase plant efficiency and to lower pollutants emissions and to comply with environmental quality standards prescribed in large combustion plant directive. [Acknowledgements. This paper has been created within WBalkICT - Supporting Common RTD actions in WBCs for developing Low Cost and Low Risk ICT based solutions for TPPs Energy Efficiency increasing, SEE-ERA.NET plus project in cooperation among partners from IPA SA - Romania, University of Zagreb - Croatia and Vinca Institute from Serbia and. The project has initiated a strong scientific cooperation, with innovative approaches, high scientific level, in order to correlate in an optimal form, using ICT last generation solutions, the procedures and techniques from fossil fuels burning processes thermodynamics, mathematical modelling, modern methods of flue gases analysis, combustion control, Artificial Intelligence Systems with focus on Expert Systems category.]
KEYWORDS
PAPER SUBMITTED: 2012-05-10
PAPER REVISED: 2012-06-20
PAPER ACCEPTED: 2012-06-26
DOI REFERENCE: https://doi.org/10.2298/TSCI120510134M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2012, VOLUME 16, ISSUE Issue 3, PAGES [759 - 772]
REFERENCES
  1. Barrett, M., Atmospheric Emissions from Large Point Sources in Europe, Swedish NGO Secretariat on Acid Rain, Goteborg, Sweden, 2004
  2. Chatel-Pelage, F., et al., Applications of Oxigen for NOx Control and CO2 Capture in Coal-Fired Power Plants, Thermal Science, 10 (2006), 3, pp. 119-142
  3. Kaminski, J., Technologies and Costs of SO2-Emissions Reduction for the Energy Sector, Applied Energy, 75 (2003), 3-4, pp. 165-172
  4. Zheng, L., Shuijun, Y., Minaggo, Y., Monitoring NOx Emissions from Coal-Fired Boilers Using Generalized Regression Neural Network, Proceedings, International Conference on Bioinformatics and Biomedical Engineering, Shanghai, China, 2008, Vol. 1, pp. 1916-1919
  5. ***, Energy in the Western Balkans, http://www.iea.org
  6. Kazagić, A., Smajević, I., Duić, N., Selection of Sustainable Technologies for Combustion of Bosnian Coals, Thermal Science, 14 (2010), 3, pp. 715-727
  7. Đurić, S., et al., Qualitative Analysis of Coal Combusted in Boilers of Thermal Power Plants in Bosnia and Herzegovina, Thermal Science, 16 (2012), 2, pp. 605-612
  8. Gligorić, Z., et al., Simulation Model – Support to Investment Decision-Making in the Coal Industry, Thermal Science, 14 (2010), 3, pp. 835-844
  9. ***, Instrumentation & Controls – P3000 solution compendium, http://www.energy.siemens.com
  10. Li, S., et al., NOx Emission and Thermal Efficiency of a 300 MWe Utility Boiler Retrofitted by Air Staging, Applied Energy, 21 (2009), 4, pp. 269-360
  11. Kalogirou, S., Applications of Artificial Neural-Networks for Energy Systems, Applied Energy, 67 (2000), 1-2, pp. 17-35
  12. Zheng, L., et al., A Comparative Study of Optimization Algorithms for Low NOx Combustion Modification at a Coal-Fired Utility Boiler, Expert Systems with Application, 36 (2009), 2, pp. 2780-2793
  13. Sijerčić, M., Belošević, S., Stefanović, P., Modeling of Pulverized Coal Combustion Stabilization by Means of Plasma Tourches, Thermal Science, 9 (2005), 2, pp. 57-72
  14. Filkoski, R., Petrovski, I., Karas, P., Optimisation of Pulverised Coal Combustion by Means of CFD/CTA Modelling, Thermal Science, 10 (2006), 3, pp. 161-179
  15. Kalogirou, S., Artificial Intelligence for the Modeling and Control of Combustion Processes: A Review, Renewable and Sustainable Energy Reviews, 5 (2001), 4, pp. 373-401
  16. Yap, W. K., Karri, V., ANN Virtual Sensors for Emissions Prediction and Control, Applied Energy, 88 (2011), 12, pp. 4505-4519
  17. Ćojbašić, Ž., et al., Computationally Intelligent Modelling and Control of Fluidized Bed Combustion Process, Thermal Science, 15 (2011), 2, pp. 321-338
  18. Li, N., Thompson, S., Modelling of Combustion and Emissions for a Cyclic Power Plant, Proceedings, 13th Triennial World Congress, San Francisco, Cal., USA, 1996, Vol. 1, pp. 37-42

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