A multiwavelength model to improve microalgal productivity and energetic conversion in a red-blue light emitting diodes (LEDs) continuous photobioreactor
- 1. Department of Industrial Engineering DII, University of Padova, Via Marzolo 9, 35131 Padova (Italy)
- 2. Interdepartemental Centre Giorgio Levi Cases, University of Padova, Via Marzolo 9, 35131 Padova (Italy)
Description
Highlights: • In continuous PBR, a comparable biomass productivity is achieved under R/B and white LED. • Acclimation to the light source is needed to obtain reliable kinetic parameters. • Biomass growth under tailored spectra can be predicted by the mathematical model. • R/B LEDs have advantage in terms of both photosynthetic and energy efficiency. Irradiation with light emitting diodes (LEDs) is proposed as a method to increase the photoconversion efficiency in large-scale microalgal cultivation. Although several authors have reported the possibility of using colored LEDs in batch systems and for many species, the overall energy efficiency of a continuous system integrated with fine-tuned LED technology is still not available. In this work, the cyanobacterium Arthrospira maxima was cultivated under a R/B (red/blue) LED lamp at increasing light intensities, in order to study the effects of light quality on microalgal performances. Kinetic growth parameters were retrieved from respirometric tests and implemented in a mathematical model to examine the effects of process variables on microalgal growth and to predict maximum biomass productivity in the multi-wavelength spectrum employed, which was also included in the simulation tool. The efficiency of both photosynthetic and LEDs were examined for energy evaluation. It was found that integrating tailored LEDs in microalgal cultivation increases process efficiency by reducing light energy waste. Moreover, integrating tailored LEDs was also found to be more efficient than white LED source, due to their higher energetic efficiency.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enconman.2021.114330Additional details
Identifiers
- DOI
- 10.1016/j.enconman.2021.114330;
- PII
- S0196890421005069;
Publishing Information
- Journal Title
- Energy Conversion and Management
- Journal Volume
- 243
- Journal Page Range
- vp.
- ISSN
- 0196-8904
- CODEN
- ECMADL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54031241
- Subject category
- S09: BIOMASS FUELS; S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION;
- Descriptors DEI
- BIOLOGICAL ADAPTATION; BIOMASS; COMPUTERIZED SIMULATION; ENERGY EFFICIENCY; IRRADIATION; KINETICS; LIGHT BULBS; LIGHT EMITTING DIODES; MATHEMATICAL MODELS; PERFORMANCE; SPECTRA; WAVELENGTHS
- Descriptors DEC
- EFFICIENCY; ENERGY SOURCES; RENEWABLE ENERGY SOURCES; SEMICONDUCTOR DEVICES; SEMICONDUCTOR DIODES; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.