Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14806
Title: A Mixed-Integer Dynamic and Stochastic Algae Process Optimization
Authors: Kivanc, Sercan
Deliismail, Ozgun
Sildir, Hasan
Keywords: Stochastic Optimization
MINLP
Dynamic Optimization
Publisher: Elsevier
Abstract: With increased energy demand as it gets scarcer, a great deal of research is being carried out into alternatives to non - renewable energy resources. One of the promising studies is the biofuel production from micro algae. Microalgae are photosynthetic organisms and capture carbon dioxide, reducing emissions and providing valuable products (fuel, fertilizer, etc.). Thus, efficiency in the design and optimization of process related units are important. In this study, the optimal experimental conditions for Nannochloropsis Oculata were calculated under the constraints of the model equations and other process related constraints through simultaneous optimization approach. The economic evaluation of the process is also handled by introducing the uncertainty in the economic measures sampled from normal distribution to maximize the average profit. Unlike traditional approaches, the MINLP formulation, which is solved stochastically, dynamically, and simultaneously, provides more robust and reliable results, flexibility, improved decision making, reduced risks to be taken and a better understanding of risk factors. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Description: International Federation of Automatic Control (IFAC) - Modelling and Control of Environmental Systems, TC 8.3; International Federation of Automatic Control (IFAC) - TC 6.3. Power and Energy Systems
URI: https://doi.org/10.1016/j.ifacol.2024.07.089
ISSN: 2405-8963
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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