Ensembles-Based and GA-Based Optimization for Landfill Gas Production

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Scopus Citations
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Author(s)

  • Hu Li
  • Theodore T. Tsotsis
  • Muhammad Sahimi
  • S.Joe Qin

Detail(s)

Original languageEnglish
Pages (from-to)2063-2071
Journal / PublicationAICHE Journal
Volume60
Issue number6
Online published25 Feb 2014
Publication statusPublished - Jun 2014
Externally publishedYes

Abstract

The efficient and economic production of landfill gases (LFG) by optimally adjusting LFG production settings is of high interest as a promising source of biomass energy. A key obstacle in LFG production optimization is the large-scale and complex system with overwhelming uncertainty and heterogeneity. We propose a simplified ensemble-based optimization (EnOpt) method to solve the LFG production optimization problem when constraints are not a concern, where the gradient information is obtained from an ensemble of realizations of the system. For constrained optimization, a novel parameterless genetic algorithm is proposed and successfully applied to the simulated LFG process. The effectiveness of the proposed (EnOpt) method and the parameterless genetic algorithm is demonstrated with the simulation of a landfill and gas generation and transport therein, using a parallel computation strategy. © 2014 American Institute of Chemical Engineers AIChE J, 60: 2063-2071, 2014 © 2014 American Institute of Chemical Engineers.

Research Area(s)

  • Ensemble-based optimization, Landfill gas system, Parallel computation, Production optimization

Citation Format(s)

Ensembles-Based and GA-Based Optimization for Landfill Gas Production. / Li, Hu; Tsotsis, Theodore T.; Sahimi, Muhammad et al.
In: AICHE Journal, Vol. 60, No. 6, 06.2014, p. 2063-2071.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review