Optimization of Electrolytic Cells Having Large Numbers of Variables

Richard C. Alkire, Gary D. Cera, Mark A. Stadtherr

Research output: Contribution to journalArticlepeer-review

Abstract

A generalized reduced gradient method was used to optimize profit for a model of a chlor-alkali cell which included 42 variables, 37 equality constraints, and 2 inequality constraints. Many of the equations were nonlinear. The technique optimized all variables simultaneously. In addition, Lagrangian multipliers were used to determine sensitivity of the objective function with respect to cell constants in the constraints. In this manner, sensitivity of the optimal solution to design and operating variables was explored. The methodology developed in this study may be applied to other electrolytic cells for which algebraic mathematical models exist.

Original languageEnglish (US)
Pages (from-to)1225-1231
Number of pages7
JournalJournal of the Electrochemical Society
Volume129
Issue number6
DOIs
StatePublished - Jun 1982

Keywords

  • chlor-alkali cell
  • optimization
  • separators

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Renewable Energy, Sustainability and the Environment
  • Surfaces, Coatings and Films
  • Electrochemistry
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Optimization of Electrolytic Cells Having Large Numbers of Variables'. Together they form a unique fingerprint.

Cite this