Predicting the Energy Efficiency of Thermal Power Plant

Qadir, Ghulam; Bhacho, Irfan; Mahoto, Naeem Ahmed

doi:10.1109/icomet48670.2020.9073874

Cited by 2 publications

(1 citation statement)

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“…The optimal sequence for SP, ST, and SSFR is x0 k k = 1, 2, ⋯ ⋯ , 7 [23]. The grey relational grade description in the grey relational analysis demonstrates how the seven sequences (x0 k and xi k , if = 1, 2) are related to the grade, 7, k = 1, 2, 7 [24].…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation and Parametric Optimization of Coal-Fired Water Tube Boiler Using the Grey-Taguchi Method

Talib,

Yasin,

Hussain

et al. 2023

International Journal of Energy Research

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Industries, district heating companies, and public institutions that use boilers for heating, processing, or power production find it challenging to run at peak efficiencies due to rising fuel prices. Insufficient heat energy production and distribution through boilers contribute to an overall increase in energy expenditure. The performance of a boiler is affected by various controlling parameters, including specific fuel consumption capacity, load, and heat losses. The current study was conducted to evaluate the performance of the coal-fired water tube boiler at D.G. Khan Cement Company Limited, Pakistan. The experimental results were validated with artificial neural network- (ANN-) based predictions, which were observed to have an error of 14% in the regression plot. In this study, the performance parameters of the boiler, including steam temperature (ST), steam pressure (SP), and specific steam flow rate (SSFR), were optimized against fuel consumption (FC) and load using the Grey-Taguchi method. The best-performing parameters, with the best criteria, were observed at an overall grey relational grade (OGRG) of 0.891 and a load of 66%. The findings indicated that the overall performance of the boiler was optimized with an FC of 3.09 kg/s, a load of 66%, ST of 532°C, SP of 9.93 MPa, and SSFR of 21.38 kg/s.

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Section: Methodsmentioning

confidence: 99%