Integration of kinetic modeling and desirability function approach for multi-objective optimization of UASB reactor treating poultry manure wastewater

Yetilmezsoy K.

BIORESOURCE TECHNOLOGY, vol.118, pp.89-101, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 118
  • Publication Date: 2012
  • Doi Number: 10.1016/j.biortech.2012.05.088
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.89-101
  • Keywords: Desirability function, Kinetic modeling, Multi-objective optimization, Poultry manure wastewater, Up-flow anaerobic sludge blanket reactor, INFLUENT SUBSTRATE CONCENTRATION, ANAEROBIC-DIGESTION, REMOVAL, METHANE, SLUDGE, COD, ELECTROCOAGULATION, TEMPERATURE, OPERATION
  • Yıldız Technical University Affiliated: Yes


An integrated multi-objective optimization approach within the framework of nonlinear regression-based kinetic modeling and desirability function was proposed to optimize an up-flow anaerobic sludge blanket (UASB) reactor treating poultry manure wastewater (PMW). Chen-Hashimoto and modified Stover-Kincannon models were applied to the UASB reactor for determination of bio-kinetic coefficients. A new empirical formulation of volumetric organic loading rate was derived for the first time for PMW to estimate the dimensionless kinetic parameter (K) in the Chen-Hashimoto model. Maximum substrate utilization rate constant and saturation constant were predicted as 11.83 g COD/L/day and 13.02 g COD/L/day, respectively, for the modified Stover-Kincannon model. Based on four process-related variables, three objective functions including a detailed bio-economic model were derived and optimized by using a LOQO/AMPL algorithm, with a maximum overall desirability of 0.896. The proposed optimization scheme demonstrated a useful tool for the UASB reactor to optimize several responses simultaneously. (C) 2012 Elsevier Ltd. All rights reserved.