Abstract
In this study, we propose a mixed integer nonlinear programming (MINLP) model for superstructure based optimization of biodiesel production from microalgal biomass. The proposed superstructure includes a number of major processing steps for the production of biodiesel from microalgal biomass, such as harvesting of microalgal biomass, pretreatments including drying and cell disruption of harvested biomass, lipid extraction, transesterification, and post-transesterfication purification. The proposed model is used to find the optimal processing pathway among the large number of potential pathways that exist for the production of biodiesel from microalgae. The proposed methodology is tested by implementing on a specific case study. The MINLP model is implemented and solved in GAMS using a database built in Excel. The results from the optimization are analyzed and their significances are discussed.
| Original language | English |
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| Title of host publication | Proceedings of the 10th IFAC International Symposium on Dynamics and Control of Process Systems |
| Publisher | Elsevier |
| Publication date | 2013 |
| Pages | 111-116 |
| ISBN (Print) | 9781629937267 |
| Publication status | Published - 2013 |
| Event | 10th IFAC International Symposium on Dynamics and Control of Process Systems - Mumbai, India Duration: 18 Dec 2013 → 20 Dec 2013 Conference number: 10 |
Conference
| Conference | 10th IFAC International Symposium on Dynamics and Control of Process Systems |
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| Number | 10 |
| Country/Territory | India |
| City | Mumbai |
| Period | 18/12/2013 → 20/12/2013 |
Keywords
- Biodiesel
- Microalgae
- Superstructure optimization
- Mixed integer nonlinear programming
- Biorefinery