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Deriving Optimal Operational Strategies through Process Data Analysis on Utility Boiler

Dr. S. Saraswathi, G. Hema Priya, P. Lakshmi Priya


The thermal power need is increased due to vast industrialization and urbanization across the globe. Though the fuel sources and types are more, the cheapest and popular fuel is coal due to its vast availability. The utility boiler is a closed vessel like device used to process the coal to produce steam by supplying proper proportion of heat energy to water. A multidisciplinary effort of applying computing concept was carried out to define and analyse the operational aspects that reside in the complex boiler elements. The impacts of each operational parameter affecting the boiler performance were determined and their values are estimated for the user defined load. This aspect supports to derive the major inferences and control strategies to maintain stable steam generation process. The proposed effort reduces the complexities emerged due to the significant growth of global electric demand.


Thermal, Boiler, Energy, Clustering

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AbhaynathKumar,Jain,NK& Praveen Patel 2015, ‘Analysis of Safety Performance Rating in Thermal Power Plant’ International Journal of Emerging Technology and Advanced Engineering, vol. 5, no. 1, pp. 120-128.

AdityaSindhu, AashishBhaskar&Arbind Singh 2014, ‘An Analysis of Different Methods for Major Energy Saving in Thermal Power Plant’ International Journal of Advanced Research in Electrical, Electronics andInstrumentation Engineering, vol. 3, no. 9, pp. 12153-12161.

Ahamad, AL,Azid,IA,Yusof,AR&Seetharamu 2004, ‘Emission Control in Palm Oil Mills Using Artificial Neural Network and Genetic Algorithm’ Computers and Chemical Engineering,Elsevier no. 28, pp. 2709-2715.

Ali Ashebi , David A Stirling& Duane Robinson 2006, ‘Identification of Load Power Quality Characteristics Using Data Mining’ Research Online-University of Wollongong, IEEE, pp. 157-162.

Arun Kumar 2013, ‘Methodology Used for Life Cycle Assessment (LCA) of Electricity Generation Through Coal Fired Thermal Power Plants in India - Review’ International Journal of Emerging Technology and Advanced Engineering, vol. 3, issue. 3, pp. 545-548.

Azadeh,A,Ghaderi,F,Anvari,M,Izadbakhsh,H&Dehghan, S 2007, ‘Performance Assessment and Optimization of Thermal Power Plants by DEA BCC and Multivariate Analysis’ Journal of Scientific & Industrial Research, vol. 66, pp. 860-872.

Chandra,A&Chandra,H 2004, ‘Impact of Indian and Imported Coal on Indian Thermal Power Plants’ Journal of Scientific & Industrial Research, vol. 63, pp. 156-162.

Chandra,H,Paliwal,S&Tripathi,A 2013, ‘Mitigation of Emission in Thermal Power Plant Using Conventional and Non-Conventional Fuel’ International Journal of Engineering Science Invention, vol. 2, no. 4, pp. 01-06.

Chia Hao Liu, Sue J Lin & Charles Lewis 2013, ‘Evaluation of NOx,SOx and CO2 Emissions of Taiwan’s Thermal Power Plants by Data Envelopment Analyis’ Aerosol and Air Quality Research, vol. 13, pp. 1815-1823.

Christina Athanasopoulou&VasilisChatziathanasiou 2009, ‘Intelligent System for Identification and Replacement of Faulty Sensor Measurements in Thermal Power Plants (IPPAMAS: PART 1)’ Expert System with Applications,Elsevier, no.36, pp. 8750-8757.

Dewangan, DN,Manoj Kumar Jha&Banjare,YP 2014,‘Reliability Investigation of Steam Turbine used in Thermal Power Plant’ International Journal of Innovative Research in Science ,Engineering and Technology, vol. 3, no. 7, pp. 14915-14923.

Fang, GAO, Pu Han, Yong-Jie ZHAI & Yuan LU 2012,‘Computational Intelligence i Low NOx Emission Combustion for Coal Fired Power Plants’ International Journal of Advancements in Computing Technology, vol. 4,no. 14.

Firas B Ismail Alnaimi&Hussain H.AL-Kayiem 2011, ‘Artificial Intelligent System for Steam Boiler Diagnosis Based on Superheater Monitoring’ Journal of Applied Sciences, no. 11, pp. 1566-1572.

Genesis Murehwa, Davison Zimwara, Wellington Tumbudzuku& Samson Mhlanga 2012, ‘ Energy Efficiency Improvement in Thermal Power Plants’ International Journal of Innovative Technology and Exploring Engineering, vol. 2, issue. 1.

GolrizAmooee, BehrouzMinaei-Bidgoli&MaliheBaghei-Dehnavi 2011, ‘A Comparison between Data Mining Prediction Algorithms for Fault Detection (Case Study: Ahanpishegan co)’ International Journal of Computer Sciences Issues, vol. 8, issue 6, no. 3.

GregorHenze, P, Clemens Felsmann& Gottfried Knabe 2004, ‘Evaluation of Optimal Control For Active and Passive Building Thermal Storage’ International Journal of Thermal Sciences,Elsevier, no. 43, pp. 173-183.

Haiming Zhou, Dunnan Liu, Dan Li, Guanghui Shao &Qun Li 2013,‘Operating Analysis and Data Mining System for Power Grid Dispatching’ Energy and Power Engineering, no. 5, pp. 616-620..

Hungund, APS &ShrikantPatil 2013,‘Failure Analysis of Thermal Power Plant Using Normal and Lognormal Distributions’ International Journal of Statistika and Mathematics, vol. 8, no. 1, pp. 36-41.

IgnatioMadanhire, KumbiMugwindiri&LeanmarkMayahle 2013, ‘Application of Online Intelligent Remote Condition Monitoring Management in Thermal Power Plant Maintenance: Study of Thermal Power Plant in Zimbabwe’ International Journal of Science and Research, vol. 2, no. 1, pp. 12-25.

IoanCristianTrelea 2003, ‘The Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection’ Information Processing Letter, Elsevier, no. 85, pp. 317-325.

James E Staudt& Jennifer Macedonia 2014, ‘Evaluation of Heat Rates of Coal Fired Electric Power Boilers’ Power Plant Pollutant Control “Mega” Symposium. Temperly&Trevena, DH 1978, Liquids and their properties, John Wiley and Sons, New York.


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