Parametric optimization on exergy analysis of a thermal power plant using Taguchi design method

Baysal E., Bilginsoy A. K., ACIR A.

ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH, cilt.29, sa.2, ss.1313-1326, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 2
  • Basım Tarihi: 2012
  • Dergi Adı: ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.1313-1326
  • Anahtar Kelimeler: Exergy, Thermal power plant, Ambient temperature, Condenser pressure, Steam temperature, Taguchi, Optimization, Regression analysis, SCIENTOMETRIC APPROACH, ENERGY, BIOGAS, SYSTEM, TURKEY, TEMPERATURE, PERFORMANCE, GENERATION, BOILER, GAS
  • Gazi Üniversitesi Adresli: Evet

Özet

Exergy efficiencies of a thermal power plant under various operating conditions have been investigated in this paper. Exergy efficiencies are computed of the various operating conditions in the power plant. Taguchi design method is applied to optimize the operating conditions for exergy loss minimization in a thermal power plant. Three factors, namely, ambient temperatures, condenser pressures, and steam temperatures are selected and considered for improving the system performance. The operating conditions are planned as the orthogonal array of L-27. Signal-to-noise ratio (S/N) analysis, analysis of variance (ANOVA) and regression analysis are carried out in order to determine the effects of process parameters and optimal factor settings on exergy efficiency in the power plant. The findings indicate that ambient temperatures, with a contribution percentage as high as 98.1%, had the most dominant effect on power plant performance, followed by steam temperatures. The best performances of the exergy efficiency are provided at lower ambient temperatures, lower condenser pressure and higher steam temperatures to limitation in this study. The correlation between exergy efficiencies and operation conditions is obtained by multi-variable linear regression and compared with the actual results. Finally, confirmation tests verified that the Taguchi design is successful in optimizing various operating conditions for exergy efficiencies.