Power plant condenser performance modeling in NTPC, Vindhyachal using artificial neural network: a case study  

Oleh:

S.Mathew ; S.Banerjee ; M.Yadav

Jenis: Article from Proceeding
Dalam koleksi: ANQ Congress 19-22 October 2010 New Delhi, page 1-7.
Topik: Artificial neural network (ANN); low pressure turbine (LPT); terminal temperature difference (TTD); circulating water (CW) and best subset analysis
Fulltext: S_Mathew_NTPC_Power_Plant_Condenser.pdf (285.94KB)

Isi artikel

As India grapples with 13.3% peak deficit and 11.7% energy deficit today, the need for enhanced power generation has assumed utmost importance. Condenser system in power plants happens to be one of the most promising areas for optimization. Through this paper, an attempt has been made by the authors to highlight the importance of condenser optimization through modeling using artificial neural network (ANN) with +/- 0.5% accuracy. In this paper, analysis of various critical process parameters and their interaction was carried out with the help of best subset analysis and later condenser performance was modeled using ANN.

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