Improvement of existing coal fired thermal power plants performance by control systems modifications
Апстракт
This paper presents possibilities of implementation of advanced combustion control concepts in selected Western Balkan thermal power plant, and particularly those based on artificial intelligence as part of primary measures for nitrogen oxide reduction in order to optimise combustion and to increase plant efficiency. Both considered goals comply with environmental quality standards prescribed in large combustion plant directive. Due to specific characterisation of Western Balkan power sector these goals should be reached by low cost and easily implementable solution. Advanced self-learning controller has been developed and the effects of advanced control concept on combustion process have been analysed using artificial neural-network based parameter prediction model. (c) 2013 Elsevier Ltd. All rights reserved.
Кључне речи:
Coal combustion modelling / Coal combustion optimisation / Artificial intelligence systems / West Balkan power sectorИзвор:
Energy, 2013, 57, 55-65
DOI: 10.1016/j.energy.2013.02.033
ISSN: 0360-5442; 1873-6785
WoS: 000323355600009
Scopus: 2-s2.0-84880697016
Колекције
Институција/група
VinčaTY - JOUR AU - Mikulandric, Robert AU - Loncar, Drazen AU - Cvetinović, Dejan AU - Spiridon, Gabriel PY - 2013 UR - https://vinar.vin.bg.ac.rs/handle/123456789/5635 AB - This paper presents possibilities of implementation of advanced combustion control concepts in selected Western Balkan thermal power plant, and particularly those based on artificial intelligence as part of primary measures for nitrogen oxide reduction in order to optimise combustion and to increase plant efficiency. Both considered goals comply with environmental quality standards prescribed in large combustion plant directive. Due to specific characterisation of Western Balkan power sector these goals should be reached by low cost and easily implementable solution. Advanced self-learning controller has been developed and the effects of advanced control concept on combustion process have been analysed using artificial neural-network based parameter prediction model. (c) 2013 Elsevier Ltd. All rights reserved. T2 - Energy T1 - Improvement of existing coal fired thermal power plants performance by control systems modifications VL - 57 SP - 55 EP - 65 DO - 10.1016/j.energy.2013.02.033 ER -
@article{ author = "Mikulandric, Robert and Loncar, Drazen and Cvetinović, Dejan and Spiridon, Gabriel", year = "2013", abstract = "This paper presents possibilities of implementation of advanced combustion control concepts in selected Western Balkan thermal power plant, and particularly those based on artificial intelligence as part of primary measures for nitrogen oxide reduction in order to optimise combustion and to increase plant efficiency. Both considered goals comply with environmental quality standards prescribed in large combustion plant directive. Due to specific characterisation of Western Balkan power sector these goals should be reached by low cost and easily implementable solution. Advanced self-learning controller has been developed and the effects of advanced control concept on combustion process have been analysed using artificial neural-network based parameter prediction model. (c) 2013 Elsevier Ltd. All rights reserved.", journal = "Energy", title = "Improvement of existing coal fired thermal power plants performance by control systems modifications", volume = "57", pages = "55-65", doi = "10.1016/j.energy.2013.02.033" }
Mikulandric, R., Loncar, D., Cvetinović, D.,& Spiridon, G.. (2013). Improvement of existing coal fired thermal power plants performance by control systems modifications. in Energy, 57, 55-65. https://doi.org/10.1016/j.energy.2013.02.033
Mikulandric R, Loncar D, Cvetinović D, Spiridon G. Improvement of existing coal fired thermal power plants performance by control systems modifications. in Energy. 2013;57:55-65. doi:10.1016/j.energy.2013.02.033 .
Mikulandric, Robert, Loncar, Drazen, Cvetinović, Dejan, Spiridon, Gabriel, "Improvement of existing coal fired thermal power plants performance by control systems modifications" in Energy, 57 (2013):55-65, https://doi.org/10.1016/j.energy.2013.02.033 . .