Assessment of light distribution model for marine red microalga Porphyridium purpureum for sustainable production in photobioreactor

2021 ◽  
Vol 58 ◽  
pp. 102390
Author(s):  
Shaohua Li ◽  
Jianke Huang ◽  
Liang Ji ◽  
Cheng Chen ◽  
Ping Wu ◽  
...  
Keyword(s):  
Sustainable Production ◽  
Light Distribution ◽  
Distribution Model ◽  
Porphyridium Purpureum ◽  
Red Microalga

Parameterization of a light distribution model for green cell growth of microalgae: Haematococcus pluvialis cultured under red LED lights

2017 ◽  
Vol 23 ◽  
pp. 20-27 ◽  
Author(s):  
Xin Gao ◽  
Xinyu Wang ◽  
Haijun Li ◽  
Sanja Roje ◽  
Shyam S. Sablani ◽  
...  
Keyword(s):  
Cell Growth ◽  
Haematococcus Pluvialis ◽  
Light Distribution ◽  
Distribution Model ◽  
Green Cell ◽  
Red Led ◽  
Led Lights

scholarly journals 5-Aminolevulinic acid promotes arachidonic acid biosynthesis in the red microalga Porphyridium purpureum

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Kailin Jiao ◽  
Jingyu Chang ◽  
Xianhai Zeng ◽  
I-Son Ng ◽  
Zongyuan Xiao ◽  
...  
Keyword(s):  
Arachidonic Acid ◽  
Aminolevulinic Acid ◽  
Acid Biosynthesis ◽  
Porphyridium Purpureum ◽  
Red Microalga

A Methodology for the Determination of the Light Distribution Profile of a Micro-Algal Photobioreactor

2011 ◽  
Author(s):  
Quinn Straub ◽  
Juan Ordonez
Keyword(s):  
Light Intensity ◽  
Model Simulation ◽  
Growth Efficiency ◽  
Light Distribution ◽  
Distribution Model ◽  
Distribution Profile ◽  
Proposed Model ◽  
Depth Analysis ◽  
Internal Sources ◽  
Light Absorbance

The following work presents an in depth analysis of the distribution of the light absorbance profile. The proper identification of conditions that maximize the growth efficiency of photosynthetic algae is necessary to optimize the productivity as a whole of the photobioreactor. In an effort to understand light as it interacts with an absorbing species such as algae, various tests were completed to extrapolate extinction coefficient ε or a calibration curves based on Beer-Lamberts Law. To characterize the absorbance conditions in a photobioreactor, a light distribution model was developed. From the basis of an external radiated light system, a single-source system was developed. Mathematical expressions for the local light intensity and the average light intensity were derived for a cylindrical photobioreactor with external sources, single internal sources, and multiple internal sources. The proposed model was used to predict the light absorbance values inside an externally and internally radiated photobioreactor using Nannochloropsis Oculata. The effects of cell density and light path length were interpreted through experimental and model simulation studies. The predicted light intensity values were found to be within +/− 7% to those obtained experimentally. This level of accuracy could be better improved with more testing and more precise instrumentation. Due to the simplicity and flexibility of the proposed model, it was also possible to predict the light conditions in other complex multiple light source photobioreactors.

Optimal greenhouse lighting scheduling using canopy light distribution model: A simulation study on tomatoes

2019 ◽  
Vol 52 (2) ◽  
pp. 233-246
Author(s):  
L Xu ◽  
R Wei ◽  
L Xu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimal Solution ◽  
Light Distribution ◽  
Distribution Model ◽  
Decision Variable ◽  
Threshold Control ◽  
Greenhouse Crops ◽  
The Status ◽  
Led Lights

Light is considered the most important environmental factor for greenhouse crops, and lack of lighting limits the productivity of greenhouses. Many studies have focused on improving the energy efficiency of lighting in agriculture. In this study, LED lights were mounted in the top, middle and bottom of the plant canopy to provide additional photosynthetically active radiation. Assuming that 100% of the predicted outdoor radiation is available, the canopy light distribution model was used to determine the relationship between the light energy consumption and the optimal yield. Decision-making on lighting scheduling may be considered as a constrained optimisation, and the status of the LEDs in a period acts as the decision variable. Besides, there are two objective functions: one is the energy consumed by the LED device; the other is the expected yield calculated by the crop model of tomatoes. The optimal solution of the multi-objective optimisation is not unique but corresponds to an infinite number of yield/energy combinations. Farmers can select these combinations according to additional restrictions such as energy efficiency ratio or photoperiod. The yield of our strategy was increased by 12.3% under the constraint of equal energy consumption compared to the greenhouse threshold control strategy. Given the same output as the constraint, the energy consumption was reduced by 30.1%.

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