Optimal control for micro-algae on a raceway model

© 2017 American Institute of Chemical Engineers We apply numerical optimal control methods to an existing algae growth model with the aim to determine the best performance of the model under known conditions using a variety of decision variables. We transform the system of differential algebraic eq...

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Main Authors: Hurst, T., Rehbock, Volker
Format: Journal Article
Published: Wiley-Blackwell Publishing, Inc. 2018
Online Access:http://hdl.handle.net/20.500.11937/67857
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author Hurst, T.
Rehbock, Volker
author_facet Hurst, T.
Rehbock, Volker
author_sort Hurst, T.
building Curtin Institutional Repository
collection Online Access
description © 2017 American Institute of Chemical Engineers We apply numerical optimal control methods to an existing algae growth model with the aim to determine the best performance of the model under known conditions using a variety of decision variables. We transform the system of differential algebraic equations in the existing model to a system of ordinary differential equations which introduces dynamics for average light intensity and chlorophyll. In addition, we allow for variable nitrogen concentration of the inflow as well as variable initial nitrogen concentration of the raceway. Our main focus is on optimizing of the production of lipids. We calculate both open and closed loop optimal controllers and test their robustness. Finally, we also consider raceway depth as a decision variable. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:107–119, 2018.
first_indexed 2025-11-14T10:35:28Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:35:28Z
publishDate 2018
publisher Wiley-Blackwell Publishing, Inc.
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-678572018-05-18T08:04:42Z Optimal control for micro-algae on a raceway model Hurst, T. Rehbock, Volker © 2017 American Institute of Chemical Engineers We apply numerical optimal control methods to an existing algae growth model with the aim to determine the best performance of the model under known conditions using a variety of decision variables. We transform the system of differential algebraic equations in the existing model to a system of ordinary differential equations which introduces dynamics for average light intensity and chlorophyll. In addition, we allow for variable nitrogen concentration of the inflow as well as variable initial nitrogen concentration of the raceway. Our main focus is on optimizing of the production of lipids. We calculate both open and closed loop optimal controllers and test their robustness. Finally, we also consider raceway depth as a decision variable. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:107–119, 2018. 2018 Journal Article http://hdl.handle.net/20.500.11937/67857 10.1002/btpr.2532 Wiley-Blackwell Publishing, Inc. restricted
spellingShingle Hurst, T.
Rehbock, Volker
Optimal control for micro-algae on a raceway model
title Optimal control for micro-algae on a raceway model
title_full Optimal control for micro-algae on a raceway model
title_fullStr Optimal control for micro-algae on a raceway model
title_full_unstemmed Optimal control for micro-algae on a raceway model
title_short Optimal control for micro-algae on a raceway model
title_sort optimal control for micro-algae on a raceway model
url http://hdl.handle.net/20.500.11937/67857