caa a22 4500 606169466 CHVBK 20210128100712.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10098-015-0906-0 doi (NATIONALLICENCE)springer-10.1007/s10098-015-0906-0 Optimization of sootblowing frequency to improve boiler performance and reduce combustion pollution [Elektronische Daten] [Lalatendu Pattanayak, Sai Ayyagari, J. Sahu] In a conventional coal-fired boiler combustion of coal causes buildup of soot, ash, and slag in the heat transfer surfaces, which reduces the heat transfer as well as operating efficiency. To achieve a high operating efficiency and improving heat transfer in boiler pressure parts, sootblowing is an important phenomenon in boiler operation. Boiler operators are typically provided with little or no information about the fouling status of heating surfaces or with much guidance regarding how to optimize sootblowing operations even if there are some indications like metal temperature, sprays. This raises the requirement of sootblowing optimization strategy to determine which portions of the boiler to clean and on what schedule. The objective of this study is to develop a sootblowing optimization system that uses thermodynamic model and artificial neural networks model to predict the effectiveness of heating surfaces. In addition, the system utilizes an optimization algorithm to refine the search for the optimal sequence of sootblower frequency and achieve boiler performance targets. Springer-Verlag Berlin Heidelberg, 2015 Slagging nationallicence Fouling nationallicence Sootblowing nationallicence Cleanliness factor nationallicence Optimization nationallicence Artificial neural networks nationallicence A : Area (m2) nationallicence d : Diameter (m) nationallicence h : Enthalpy (kJ/kg) nationallicence K : Heat transfer coefficient (kW/m2K) nationallicence L : Length (m) nationallicence m : Mass flow (kg/s) nationallicence Nu : Nusselt number (−) nationallicence Pr : Prandtl number (−) nationallicence P : Price (Rs) nationallicence p : Pressure (kg/cm2) nationallicence Q : Heat flow (kW) nationallicence Re : Reynolds number (−) nationallicence T : Temperature (°C) nationallicence ε : Heating surface effectiveness (−) nationallicence α : Heat transfer coefficient (kW/m2K) nationallicence Δ T m : Log mean temperature difference (K) nationallicence λ : Heat conduction coefficient (kW/K) nationallicence FURN : Furnace nationallicence PCYL : Per sootblowing cycle nationallicence REH : Reheater nationallicence SHDP : Super heater divisional panel nationallicence SHPL : Super heater Platen nationallicence SB : Sootblowing nationallicence STM : Steam nationallicence Pattanayak Lalatendu Steag Energy Services India Pvt. Ltd., A-29, Sector-16, 201301, Noida, UP, India aut Ayyagari Sai Steag Energy Services India Pvt. Ltd., A-29, Sector-16, 201301, Noida, UP, India aut Sahu J. Petroleum and Chemical Engineering Programme Area, Faculty of Engineering, Institut Teknologi Brunei, Tungku Gadong, P.O. Box 2909, Brunei Muara, Brunei Darussalam aut Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/7(2015-10-01), 1897-1906 1618-954X 17:7<1897 2015 17 10098 https://doi.org/10.1007/s10098-015-0906-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10098-015-0906-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Pattanayak Lalatendu Steag Energy Services India Pvt. Ltd., A-29, Sector-16, 201301, Noida, UP, India aut NATIONALLICENCE 700 1- Ayyagari Sai Steag Energy Services India Pvt. Ltd., A-29, Sector-16, 201301, Noida, UP, India aut NATIONALLICENCE 700 1- Sahu J. Petroleum and Chemical Engineering Programme Area, Faculty of Engineering, Institut Teknologi Brunei, Tungku Gadong, P.O. Box 2909, Brunei Muara, Brunei Darussalam aut NATIONALLICENCE 773 0- Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/7(2015-10-01), 1897-1906 1618-954X 17:7<1897 2015 17 10098