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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMW503

Soot Blower Control Using Plc & Scada

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMW503

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSB

Ms. Samruddhi Balpande

VK

Vaidehi Khadse

MN

Mansi Nagpure

AU

Ayush Urkude

RH

Ritik Hiwarkar

DD

Dr.Sonali Dhurve

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Abstract

The efficiency of boilers in thermal power plants is greatly affected by the cleanliness of their heat exchanger surfaces. Soot blowers are essential for ensuring efficient heat transfer by eliminating soot deposits that build up gradually. Traditional soot blowing techniques, like manual and time-based operations, frequently lead to high energy usage and unsatisfactory cleaning outcomes. This paper delves into the development and execution of an automated soot blower control system, utilizing programmable logic controllers (PLC) and supervisory control and data acquisition (SCADA) to tackle the challenges at hand. The suggested system maximizes cleaning cycles by continuously monitoring and controlling the process, thereby reducing steam wastage and energy losses. The findings indicate that the implementation of PLC-SCADA-based automation significantly boosts cleaning efficiency, enhances boiler performance, and guarantees system reliability, making it an essential advancement for contemporary power plant operations.

KEYWORDS

Soot Blower Programmable Logic Controller (PLC) Supervisory Control and Data Acquisition (SCADA) Efficiency Boiler heat.

Cite This Article

Ms. Samruddhi Balpande, Vaidehi Khadse, Mansi Nagpure, Ayush Urkude, Ritik Hiwarkar, Dr.Sonali Dhurve, "Soot Blower Control Using Plc & Scada," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

7/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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