Multiobjective optimization of synechocytis culture in flat-plate photobioreactor toward optimal growth and exergy
Creators
- 1. Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok, 16424, West Java (Indonesia)
Description
Many researchers are analyzing microalgae as a fuel source due to their high potential. Since microalgae are grown on a narrow area of land and less water, microalgae can contain high lipids. Carbon dioxide, water, inorganic salts, temperature and degree of acidity (pH), and light intensity in photobioreactors affect microalgae growth. Microalgae Synechocystis cultivated in BG-11 medium on closed PBRs with an addition of 10 mM NaHCO3. Culture medium illuminated at one side with Orange-red LED (636 nm) at light intensities of 50, 200, 300, 500, 800, 950, and 1,460 µmol photon/m2.s with light intensity adjustment every 24 hours. Optical density and exergy destruction also optimize for artificial neural network training and Multiobjective Genetic Algorithms. The optimum value from the TOPSIS approach is the OD 12.957 OD730 and 8660.35 kJ exergy destruction. The optimum condition is derived from the optimum value. The light intensity of 71 µmol photon/m2s and the dry cell weight of 0.119 g/OD730L are ideal conditions for optimal microalgae development. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1858/1/012038Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1858
- Journal Issue
- 1
- Journal Page Range
- [7 p.]
- ISSN
- 1742-6596
Conference
- Title
- 7. International Conference on Engineering, Technology, and Industrial Application
- Acronym
- ICETIA 2020
- Dates
- 8-9 Dec 2020
- Place
- Surakarta (Indonesia)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54097108
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CARBON DIOXIDE; EXERGY; GENETIC ALGORITHMS; OPACITY; OPTIMIZATION; PH VALUE; PHOTONS; PLATES
- Descriptors DEC
- ALGORITHMS; BOSONS; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; ELEMENTARY PARTICLES; ENERGY; MASSLESS PARTICLES; MATHEMATICAL LOGIC; OPTICAL PROPERTIES; OXIDES; OXYGEN COMPOUNDS; PHYSICAL PROPERTIES