World Journal of Engineering and Technology
Vol.05 No.03(2017), Article ID:78362,6 pages

Characterization of the Effect of Programmed Aeration on Energy Efficiency of Microalgae Cultivation System

Robert Bocsi*, Dora Rippel-Petho, Geza Horvath, Laszlo Hanak, Zoltan Hodai

Institute of Chemical and Process Engineering, Department of Chemical Engineering Science, University of Pannonia, Veszprem, Hungary

Copyright © 2017 by authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

Received: April 27, 2017; Accepted: August 8, 2017; Published: August 11, 2017


With autotrophic microalgae cultivation, we can feed back the CO2 content of process streams and we can get lots of valuable organic compounds, among others biofuel components. For the production of energy source, we must reckon with the energy balance of the whole process. Densification and processing of microalgae can consume 50% - 70% of the energy that can be extracted from the cells, therefore the cultivation should use such a little energy as it possible. In closed cultivation systems, there are three main energy intensive steps: artificial illumination, dissolution of gas compounds and mixing. We have carried out our measurements in our lab-scale screening photobioreactor system for the investigation of the most energy effective program for aeration. We have found the aeration program considerable solution for lower energy consumption in algae cultivation.


Energy efficiency, Microalgae, Cultivation, Aeration

1. Introduction

In 2014 the total biomass production of the World was near 71 Mtoe (~2.96 EJ). 50% of its total production was biodiesel. According to the BP World energy review, the production was 7.4% higher than in previous year. This can be a working force to research algae to energy systems [1] .

When operating an algae cultivation system we should take care of energy balance also. Considering the product specification we should keep energy consumption at the level as low as it possible. So it is important to keep the low energy consumption as a design objective at the beginning.

In an operating cultivation system, we should take care of the following needs of algae cells: sufficient flux of light in photosynthetically active radiation (PAR) spectra, carbon source, mixing, and temperature management.

Though sunlight can be used for cultivation, the length of daily light cycles cannot be influenced. Artificial light sources can be used also, if the spectra of emitted light is in the PAR region but we should calculate on additional energy consumption. The energy efficiency of the light source depends not only on heat conversion but there is a strong relationship of the ratio of PAR photon flux and total photon flux.

Ageing process can be also observed at artificial light sources that lead to lower photon flux and lower efficiency [2] [3] .

There are two main reasons for algae suspension mixing. The first reason is the intensification of dissolving CO2 in suspension. The second reason is to keep floating all algae cell to avoid sedimentation that leads to bad light distribution in the reactor. Near constant light flux the optical density increases by the increasing biomass concentration. In this case the lowering available photon flux at the deeper layer in algae suspension leads to light limitation. Proper gas distribution system necessarily solves the mixing problem, however there might be necessary to use mechanical mixing especially in open pond. Direct sunlight can be used as light source but without system cooling the suspension will be heated to 40˚C or higher that is over the optimal range (20˚C - 35˚C) [4] [5] [6] .

In photoautotrophic cultivation process CO2 is in dissolved or hydrogen carbonate form that depends on pH. Obvious solution that we use that kind of carbon source is accessible on site. This source can be flue gas (average composition see in Table 1), natural gas or biogas. In this case, additional energy consumption can be occurred when the pressure of the input source is too low to be dispersed thru gas distribution system. When undesirable components (dust, SOX, H2S) are present then we should take care of partial or total separation before feed into the reactors [7] [8] .

2. Materials and Methods

We have set up the gas distribution system for our previously installed lab-scale PBR medium test system. CO2 input was mixed with filtered air and distributed

Table 1. Average flue gas composition.

by the following program.

2.1. Lab Scale PBR System and Gas Distribution System

The wall of the cylindrical reactors made of PET. The system contains membrane blower, T2.5 CO2 gas cylinder, and static gas mixer. Each 1 dm3 reactor have individual immersed gas dispenser for uniform gas supplement with solenoid valve for input and non-return valve for the gas output (see Figure 1).

For the execution of gas dispensing program we have used ADAM-5000/TCP (Advantech) Ethernet-based distributed DA & C system with ADAM-5069 8- channel relay module extension. The gas distribution program was adapted to ADAMVIEW Data Acquisition software environment.

2.2. Gas Supply, Dosing Program

Photoautotrophic creatures use CO2 and light for photosynthetic activity in light

Figure 1. Schematic drawing of the gas dispensing system.

Table 2. Gas dispensing program and relative energy consumption.

a. Reference mode, continous aeration; b. The time shift of mode was in light mode; c. The time shift of mode was in dark mode.

phase. In dark phase there is no light for the photosynthetic activity, so algae use no CO2.

The gas feed stream contains 8 (V/V)% CO2 mixed in air with 540 dm3/h total gas flowrate.

We have designed the program that each pairs of solenoid working with the same time cycle but they are in opposite (on/off) status. So the number of opened or closed valves was the same in every minute. This was good for minimizing the of pressure fluctuation in gas distribution system. The D and N mode were the opposites.

The length of dosing time was between 30 minutes and 16 hours. Accordingly the power consumption of the gas distribution system for the reactors was between 33% and 66% compared to reference (see in Table 2).

2.3. Other Operating Parameters

We used Sylvania Aquastar T8 fluorescent tube for the artificial lighting in 16/8 light dark cycles. This type of fluorescent tubes are intended to be used for promote the growth of aquatic plants, because they have high emission maximum in red and blue light spectrum.

We have used PQS-1 PAR Quantum sensor paired with Logbox SD data logger (Kipp & Zonen) for the quantification of the irradiation. According the logged radiation data we have ascertained that there was no significant difference between the intensity of irradiation in light cycles.

For cultivation batch we have used enrichedBG-11 culturing medium with 80 mg/dm3 nitrate content. BG-11 medium is commonly used for blue-green algae cultivation. The modification was made for promote biomass production.

The temperature of suspensions was 17˚C ± 1˚C.

The duration time of each test was 7 days.

For the quantification of biomass concentration we have used the optical density at the wavelength of maximum absorption of Chlorophyll (OD 681). The biomass concentration―OD681 function has been determined by its calibration curve. It was measured by filtration using Whattman GF/C filter and dry weight measurement at 90˚C (R2 = 0.999).

3. Results and Discussion

All cultivation tests were carried out in minimum two parallel reactors and it has been repeated twice. Table 3 contains the biomass production that occurred in each mode. Calculations made from the relevant measurement data and contained results where the maximum deviation was 5%.

The results can be aligned in 3 groups regarding to relative biomass production.

The first group contains 30 m and D where relative biomass production is ~ 90%. These settings are the nearest to continuous gas supplement mode.

The second group contains 4H and 2H mode where the relative biomass production is ~80%. In these modes there are such long time periods where partial sedimentation can start.

The third group is the dark aeration mode. Here we can reach only ~73% relative biomass production but in this case we use only 33% of reference energy consumption (Figure 2).

Table 3. Biomass production using gas dispenser program.

a. Reference mode, continuous gas supply.

Figure 2. Biomass production and energy consumption at test conditions.

4. Conclusions

We have concluded that energy consumption of gas dispensing in algae cultivation can be lowering to 50% for the price of 10% biomass loss.

Considering relative energy consumption and relative biomass production, we can state that 50% of energy saving can be reached with only 10% biomass loss by using 30 minutes aeration cycles.

Aeration in only dark phase can be a choice but we should consider its effects on sedimentation, and 30% biomass loss.

It could be reasonable to investigate how these correlations can be implemented in open pond systems.

Cite this paper

Bocsi, R., Rippel- Petho, D., Horvath, G., Hanak, L. and Hodai, Z. (2017) Characterization of the Effect of Programmed Aeration on Energy Efficiency of Microalgae Cultivation System. World Journal of Engineering and Technology, 5, 481-486.


  1. 1. BP Statistical Review of World Energy, June 2015, review, 2016.02.24.

  2. 2. Ogbonna, J.C. and Tanaka, H. (2000) Light Requirement and Photosynthetic Cell Cultivation: Development of Processes for Efficient Light Utilization in Photobioreactors. Journal of Applied Phycology, 12, 207-218.

  3. 3. Doucha, J., Straka, F. and Livansky, K. (2005) Utilization of Flue Gas for Cultivation of Microalgae (Chlorella sp.) in an Outdoor Open Thin-Layer Photobioreactor. Journal of Applied Phycology, 17, 403-412.

  4. 4. Van Den Hende, S., Vervaeren, H. and Boon, N. (2012) Flue Gas Compounds and Microalgae: (Bio-)chemical Interactions Leading to Biotechnological Opportunities. Biotechnology Advances, 30, 1405-1424.

  5. 5. Kim, J., Lee, J.-Y. and Lu, T. (2014) Effects of Dissolved Inorganic Carbon and Mixing on Autotrophic Growth of Chlorella vulgaris. Biochemical Engineering Journal, 82, 34-40.

  6. 6. Raeesossadati, M.J., Ahmadzadeh, H., McHenry, M.P. and Moheimani, N.R. (2014) CO2 Bioremediation by Microalgae in Photobioreactors: Impacts of Biomass and CO2 Concentrations, Light, and Temperature. Algal Research, 6, 78-85.

  7. 7. Blanken, W., Cuaresma, M., Wijffels, R.H. and Janssen, M. (2013) Cultivation of Microalgae on Artificial Light Comes at a Cost. Algal Research, 2, 333-340,

  8. 8. Kao, C.-Y., Chiu, S.-Y., Huang, T.-T., Dai, L., Wang, G.-H., Tseng, C.-P., Chen, C.-H. and Lin, C.-S. (2012) A Mutant Strain of Microalga Chlorella sp. for the Carbon Dioxide Capture from Biogas. Biomass and Bioenergy, 36, 132-140.