Application of conventional nonlinear model predictive control (NMPC) and economic nonlinear model predictive control (E-NMPC) for technical and economical optimization of biochemical reactor system

Abdul Wahid, Sendy Winata

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies the application of Economic Nonlinear Model Predictive Control (ENMPC) and conventional NMPC to a biochemical reactor system with variation in reaction kinetics and disturbance values. The controlled variable for this study is the biomass concentration of the outlet stream leaving the reactor. To control it, conventional NMPC scheme which minimizes the controlled variable deviation to a desired set point and ENMPC scheme which optimizes the biomass production of the system are simulated against disturbance in reactor feed substrate concentration. Result shows that the conventional NMPC schemes are able to bring or maintain the controlled variable to a desired set point. However, the ENMPC scheme outperform the conventional NMPC in cumulative biomass production along the simulation period of up to 57% at the cost of higher computational time.

Original languageEnglish
Title of host publication4th International Tropical Renewable Energy Conference, i-TREC 2019
EditorsEny Kusrini, I. Gde Dharma Nugraha
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735420144
DOIs
Publication statusPublished - 3 Sep 2020
Event4th International Tropical Renewable Energy Conference 2019, i-TREC 2019 - Bali, Indonesia
Duration: 14 Aug 201916 Aug 2019

Publication series

NameAIP Conference Proceedings
Volume2255
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Tropical Renewable Energy Conference 2019, i-TREC 2019
CountryIndonesia
CityBali
Period14/08/1916/08/19

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