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Sustainable Pathways for Algal Bioenergy
Sustainable Pathways for Algal Bioenergy 
THE BIOREMEDIATION AND PHOTOPHYSIOLOGY EXPERIMENTS IN PILOT PBRs WITH AIMS OF MECHNISITIC MODELS DEVELOPMENT 
A Silkina, N Ginnever 
Centre for Sustainable Aquatic Research, 
Swansea University
Sustainable Pathways for Algal Bioenergy 
The EnAlgae Project 
WP1 
Cultivation & processing 
WP2 
Routes to market 
WP3 Guiding industry and policy Data collection from 9 pilot facilities Best practice sharing Outreach Economic Modelling Life Cycle Analysis Regulation and Policy Smart information and data tools
Sustainable Pathways for Algal Bioenergy 
Objectives of EnAlgae project - Reduce risk and accelerate implementation of pilots; - Implement algal biotechnologies within process chains; - Generate reliable data to inform the development of an ICT (modelling) decision support tool - Provide product and process descriptions - Develop and share best practice among algal biomass and bioenergy producers across NWE
Sustainable Pathways for Algal Bioenergy 
EnAlgae Lead Partner – 
Centre for Sustainable Aquatic Research (CSAR) 
Swansea University 
• PBR capacity ~ 5000L 
• monitoring and (bio)chemical analysis …. 
• research for harvesting and processing 
• modelling tool developement
Sustainable Pathways for Algal Bioenergy 
EnAlgae Targets for remediation Test suitability of waste stream use : agricultural, fish farm and AD municipal waste as nutrients source Compare the Nitrogen and Phosphorus uptake by different species in different cultivation PBR Compare the productivity of species Provide the data set for modelling tool
Sustainable Pathways for Algal Bioenergy 
Bioremediation – Why use waste? A number of cost/efficiency advantages Environmental advantages Phosphate sources are scarcer and will be economically unviable to mine by 2030 Waste nutrients source can help to reduce the mining of phosphorous and recycle this valuable mineral Difficulties of preparation (e.g. filtration) associated with using liquid and solid waste sources Liquid wastes- high in Ammonia -toxic to algae Not have an optimal nutrient profile Algae need adaptation to the waste source during initial cultivation
Sustainable Pathways for Algal Bioenergy 
Species used 
Chlorella minutissima Scenedesmus sp. Isolate from steel industrial site
Sustainable Pathways for Algal Bioenergy 
Experimental conditions 15-25 days of cultivation in tubular PBR Batch and Semi continuous mode Close monitoring of biological parameters – cells, biovolume, cellular C:N:P:Chl Water chemistry and biochemistry analysis – DIN, DIP, pH, T, PFD; lipid, carbohydrates Log-in data- 
pH, T; light
Sustainable Pathways for Algal Bioenergy 
•Cultures were able to grow using waste nutrients 
•Cultures again entered a growth phase after partial harvest growth rate 
Results of growth 
0,E+00 
5,E+08 
1,E+09 
2,E+09 
2,E+09 
3,E+09 
3,E+09 
0 
5 
10 
15 
Biovolume (μm3 mL-1) 
Time (day-1) 
Chlorella minutissima 
0,E+00 
5,E+08 
1,E+09 
2,E+09 
2,E+09 
3,E+09 
3,E+09 
0 
5 
10 
15 
20 
25 
Biovolume (μm3mL-1) 
Time (day-1) 
Scenedesmus sp.
Sustainable Pathways for Algal Bioenergy 
Nutrient uptake by algae 
•Waste nutrients are gradually taken up by the algae during cultivation 
• P and N uptake 
-10 
0 
10 
20 
30 
40 
50 
0 
100 
200 
300 
400 
500 
600 
700 
800 
900 
1000 
0 
5 
10 
15 
Concentration (umol L-1) 
Time (day -1) 
Nutrient uptake during semi-continuous cultivation of Scenedesmus sp. 
TON 
Phosphate 
-50 
0 
50 
100 
150 
200 
0 
100 
200 
300 
400 
500 
600 
700 
800 
900 
1000 
0 
5 
10 
15 
Concentration (umol L-1) 
Time (Day-1) 
Nutrient uptake during semi-continuous cultivation of Chlorella minutissima 
TON 
Phosphate
Sustainable Pathways for Algal Bioenergy 
PSII photoefficiency Fv/Fm is the efficiency of photosystem 2 (PSII), the main light harvesting and processing complex in microalgae Can be used as a measure of cell stress 
0 
0,1 
0,2 
0,3 
0,4 
0,5 
0,6 
0,7 
0 
2 
4 
6 
8 
10 
12 
14 
16 
18 
Fv/Fm (relative units) 
Time (day-1) 
Fv/Fm Chlorella minutissima 
0 
0,1 
0,2 
0,3 
0,4 
0,5 
0,6 
0,7 
0 
2 
4 
6 
8 
10 
12 
14 
16 
18 
Fv/Fm (relative units) 
Time (day-1) 
Fv/Fm Scenedesmus sp.
Sustainable Pathways for Algal Bioenergy 
Biochemical composition summary 
0 
10 
20 
30 
40 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
11 
12 
13 
14 
Diary waste remediation Scenedesmus sp. 
% Carb composition 
% Lipid composition 
% Protein 
0 
20 
40 
60 
1 
2 
3 
4 
5 
6 
7 
8 
Diary waste remediation Chl. minutissima
Sustainable Pathways for Algal Bioenergy 
Growth using fish waste 
0 
200 
400 
600 
800 
0 
5 
10 
15 
20 
25 
30 
Biovolume (x106) μm3 mL-1 
Time (day-1) 
Biovolume Chlorella minutissima 
CONTROL 
Trout waste 
•The specific growth rate is similar to control sample 
•Waste nutrients are gradually taken up by the algae during cultivation 
• P is accumulated in cell 
0 
5 
10 
15 
20 
25 
0 
10 
20 
30 
Comcentration μmolL-1 
Time (day-1) 
Ammonia μmol/L 
Phosphate μmol/L 
0 
10 
20 
30 
40 
0 
5 
10 
15 
20 
25 
30 
Concentration umolL-1 
Time (day-1) 
Phosphorus uptake and cell P
Sustainable Pathways for Algal Bioenergy 
Summary & Conclusion 
Species 
N uptake rate 
P uptake rate 
Max Productivity 
Production rate 
mg(N)L-1d-1 
mg(P)L-1d-1 
(g L-1) 
(g L-1 d-1) 
C. minutissima Control 
5.27 ±0.8 
0.41±0.1 
1.73 ±0.08 
0.12 
C. minutissima 
experimental 
7.17 ±0.4 
0.43±0.1 
1.56 ±0.07 
0.11 
Scenedesmus sp. Control 
6.82 ±0.5 
0.39±0.1 
2.03 ±0.1 
0.11 
Scenedesmus sp. 
Experimental 
7.17 ±0.4 
0.37±0.1 
1.13 ±0.05 
0.09 
•Cultures were successfully grow using waste nutrients 
•Nutrient uptake related regulatory standards of waste release 
•Potential exploitation of algal biomass
Sustainable Pathways for Algal Bioenergy 
Design of PBR comparison Vertical and horizontal 
Tubular reactors were compared In control and waste remediation 
condition, productivity is higher in vertical system with Ø 110 mm(Causerma et al, 2011) The specific biomass (e.g. reach on lipids) quickly achieved on horizontal tubular PBRØ 43 mm
Sustainable Pathways for Algal Bioenergy 
Lighting and Harvesting: The effect on the growth and photophysiology of Nannochloropsis oculata 
Dr Naomi Ginnever, Dr Alla Silkina, Professor Kevin Flynn
Sustainable Pathways for Algal Bioenergy 
Experiment and Rationale 
In order to develop the photosynthetic and lighting portion of the Enalgae model experiments were undertaken to establish the effect of photoperiod (at a consistent photodose) and harvesting on the growth, photophysiology, physiology and biochemistry. Experiments were undertaken in a 400L tubular bioreactor, which was artificially lit using metal halide lights. The photodose (15.471 mol photons m-2) was maintained over 4 experimental runs. 2 had a photoperiod of 11 hours and 2 had a photoperiod of 7 hours and 20 minutes. Supplied nutrient levels were calculated based on the known average cellular N content and the desired cell density
Sustainable Pathways for Algal Bioenergy 
Methodology Samples were taken daily for cell counts and PAM fluorescence analysis PAM fluorescence measurements were made using a Walz PhytoPAM and these data were analysed using an iterative curve fitting solution (Eilers and Peeters (1988) This provided several photosynthetic parameters which are useful indicators of cell health, stress and light acclimation The quantum efficiency of photosystem II (Fv/Fm) is a very valuable measure of the overall cell health/stress Light saturation coefficient (Ek) indicates the light acclimation state of the cells
Sustainable Pathways for Algal Bioenergy 
Initial Results 
The cultures were not harvested until 40 million cells were 
reached 
A 25% harvest was performed 3 times reducing the cell 
numbers to 30 million cells 
N=2, Experimental replicates 
5 10 15 20 25 30 
0.00E+00 
5.00E+06 
1.00E+07 
1.50E+07 
2.00E+07 
2.50E+07 
3.00E+07 
3.50E+07 
4.00E+07 
4.50E+07 
5.00E+07 
0 2 4 6 8 10 12 14 16 18 20 22 
Cells/ mL 
Day (-1) 
0.00E+00 
5.00E+06 
1.00E+07 
1.50E+07 
2.00E+07 
2.50E+07 
3.00E+07 
3.50E+07 
4.00E+07 
4.50E+07 
5.00E+07 
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 
Cells/ mL 
Day (-1) 
Max div.day-1 =0.733, 0.711
Sustainable Pathways for Algal Bioenergy 
Initial Results 
0 
0.1 
0.2 
0.3 
0.4 
0.5 
0.6 
0.7 
0.8 
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 
Fv/Fm 15 (relative units) 
Day (-1) 
0 
0.1 
0.2 
0.3 
0.4 
0.5 
0.6 
0.7 
0.8 
0.9 
0 2 4 6 8 10 12 14 16 18 20 22 
Fv/Fm 15 (relative units) 
Day (-1) 
The Fv/Fm dropped dramatically after inoculation and after 
the initial partial harvest 
There then appeared to be an acclimation as the dramatic drop 
was not observed post partial harvest again 
The carotenoid content in the cultures of both experimental photoperiods 
increased significantly during the run 
From 0.5 ng (106 cells) to 1.75 ng (106 cells) and 0.65 ng (106 cells) to 2.1 ng 
(106 cells) (both P= <0.05)
Sustainable Pathways for Algal Bioenergy 
Initial Results 
0 
100 
200 
300 
400 
500 
600 
700 
800 
900 
1000 
0 2 4 6 8 10 12 14 16 18 20 22 
Ek (relative units) 
Day (-1) 
0 
200 
400 
600 
800 
1000 
1200 
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 
Ek (relative units) 
Day (-1) 
The Ek increase increased post innoculation 
The Ek curve then saturated, and did not increase further 
This is likely due to the reduction in light per cell as the culture 
density increased meaning the cells do not need to become 
acclimated to a higher light level 
The ratio of Chl a to carotenoids decreased during the growth curve in both 
cultures
Sustainable Pathways for Algal Bioenergy 
Discussion and Conclusions The analysis of the biomass of is at an early stage and will be analysed in detail to fully understand the effect of different photoperiods and light levels on the photosystems and cellular composition Work is also being completed to investigate the effect of photoperiod using different LED colour mixes Data from outdoor experimental runs at different times of year are also being incorporated into the model to complete this component of the model
Sustainable Pathways for Algal Bioenergy 
Discussion and Conclusions The data suggests that despite the photodose being the same, the increased light level results in a longer lag phase After the 3rd harvest there is also a slower recovery Therefore it is recommended that a lower light level be used for longer photoperiod The higher light level did result in a non- significantly higher carotenoid content
Sustainable Pathways for Algal Bioenergy 
Discussion and Conclusions The initial partial harvesting had a negative effect on the photophysiology and resulted in a slight reduction in div.day However this effect was not observed after the second harvest At the 3rd harvest only the higher light level was negatively effected Therefore it is clear harvesting may have a negative effect if a large harvest is performed and at high light levels.
Sustainable Pathways for Algal Bioenergy 
THANK YOU FOR YOUR ATTENTION a.silkina@swansea.ac.uk n.ginnever@swansea.ac.uk 
Sustainable Pathways for Algal Bioenergy The Enalgae model and decision support tool will be available for use by industry in NW Europe after the project is complete

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Session 2 14h50 silkina_su

  • 1. Sustainable Pathways for Algal Bioenergy
  • 2. Sustainable Pathways for Algal Bioenergy THE BIOREMEDIATION AND PHOTOPHYSIOLOGY EXPERIMENTS IN PILOT PBRs WITH AIMS OF MECHNISITIC MODELS DEVELOPMENT A Silkina, N Ginnever Centre for Sustainable Aquatic Research, Swansea University
  • 3. Sustainable Pathways for Algal Bioenergy The EnAlgae Project WP1 Cultivation & processing WP2 Routes to market WP3 Guiding industry and policy Data collection from 9 pilot facilities Best practice sharing Outreach Economic Modelling Life Cycle Analysis Regulation and Policy Smart information and data tools
  • 4. Sustainable Pathways for Algal Bioenergy Objectives of EnAlgae project - Reduce risk and accelerate implementation of pilots; - Implement algal biotechnologies within process chains; - Generate reliable data to inform the development of an ICT (modelling) decision support tool - Provide product and process descriptions - Develop and share best practice among algal biomass and bioenergy producers across NWE
  • 5. Sustainable Pathways for Algal Bioenergy EnAlgae Lead Partner – Centre for Sustainable Aquatic Research (CSAR) Swansea University • PBR capacity ~ 5000L • monitoring and (bio)chemical analysis …. • research for harvesting and processing • modelling tool developement
  • 6. Sustainable Pathways for Algal Bioenergy EnAlgae Targets for remediation Test suitability of waste stream use : agricultural, fish farm and AD municipal waste as nutrients source Compare the Nitrogen and Phosphorus uptake by different species in different cultivation PBR Compare the productivity of species Provide the data set for modelling tool
  • 7. Sustainable Pathways for Algal Bioenergy Bioremediation – Why use waste? A number of cost/efficiency advantages Environmental advantages Phosphate sources are scarcer and will be economically unviable to mine by 2030 Waste nutrients source can help to reduce the mining of phosphorous and recycle this valuable mineral Difficulties of preparation (e.g. filtration) associated with using liquid and solid waste sources Liquid wastes- high in Ammonia -toxic to algae Not have an optimal nutrient profile Algae need adaptation to the waste source during initial cultivation
  • 8. Sustainable Pathways for Algal Bioenergy Species used Chlorella minutissima Scenedesmus sp. Isolate from steel industrial site
  • 9. Sustainable Pathways for Algal Bioenergy Experimental conditions 15-25 days of cultivation in tubular PBR Batch and Semi continuous mode Close monitoring of biological parameters – cells, biovolume, cellular C:N:P:Chl Water chemistry and biochemistry analysis – DIN, DIP, pH, T, PFD; lipid, carbohydrates Log-in data- pH, T; light
  • 10. Sustainable Pathways for Algal Bioenergy •Cultures were able to grow using waste nutrients •Cultures again entered a growth phase after partial harvest growth rate Results of growth 0,E+00 5,E+08 1,E+09 2,E+09 2,E+09 3,E+09 3,E+09 0 5 10 15 Biovolume (μm3 mL-1) Time (day-1) Chlorella minutissima 0,E+00 5,E+08 1,E+09 2,E+09 2,E+09 3,E+09 3,E+09 0 5 10 15 20 25 Biovolume (μm3mL-1) Time (day-1) Scenedesmus sp.
  • 11. Sustainable Pathways for Algal Bioenergy Nutrient uptake by algae •Waste nutrients are gradually taken up by the algae during cultivation • P and N uptake -10 0 10 20 30 40 50 0 100 200 300 400 500 600 700 800 900 1000 0 5 10 15 Concentration (umol L-1) Time (day -1) Nutrient uptake during semi-continuous cultivation of Scenedesmus sp. TON Phosphate -50 0 50 100 150 200 0 100 200 300 400 500 600 700 800 900 1000 0 5 10 15 Concentration (umol L-1) Time (Day-1) Nutrient uptake during semi-continuous cultivation of Chlorella minutissima TON Phosphate
  • 12. Sustainable Pathways for Algal Bioenergy PSII photoefficiency Fv/Fm is the efficiency of photosystem 2 (PSII), the main light harvesting and processing complex in microalgae Can be used as a measure of cell stress 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0 2 4 6 8 10 12 14 16 18 Fv/Fm (relative units) Time (day-1) Fv/Fm Chlorella minutissima 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0 2 4 6 8 10 12 14 16 18 Fv/Fm (relative units) Time (day-1) Fv/Fm Scenedesmus sp.
  • 13. Sustainable Pathways for Algal Bioenergy Biochemical composition summary 0 10 20 30 40 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Diary waste remediation Scenedesmus sp. % Carb composition % Lipid composition % Protein 0 20 40 60 1 2 3 4 5 6 7 8 Diary waste remediation Chl. minutissima
  • 14. Sustainable Pathways for Algal Bioenergy Growth using fish waste 0 200 400 600 800 0 5 10 15 20 25 30 Biovolume (x106) μm3 mL-1 Time (day-1) Biovolume Chlorella minutissima CONTROL Trout waste •The specific growth rate is similar to control sample •Waste nutrients are gradually taken up by the algae during cultivation • P is accumulated in cell 0 5 10 15 20 25 0 10 20 30 Comcentration μmolL-1 Time (day-1) Ammonia μmol/L Phosphate μmol/L 0 10 20 30 40 0 5 10 15 20 25 30 Concentration umolL-1 Time (day-1) Phosphorus uptake and cell P
  • 15. Sustainable Pathways for Algal Bioenergy Summary & Conclusion Species N uptake rate P uptake rate Max Productivity Production rate mg(N)L-1d-1 mg(P)L-1d-1 (g L-1) (g L-1 d-1) C. minutissima Control 5.27 ±0.8 0.41±0.1 1.73 ±0.08 0.12 C. minutissima experimental 7.17 ±0.4 0.43±0.1 1.56 ±0.07 0.11 Scenedesmus sp. Control 6.82 ±0.5 0.39±0.1 2.03 ±0.1 0.11 Scenedesmus sp. Experimental 7.17 ±0.4 0.37±0.1 1.13 ±0.05 0.09 •Cultures were successfully grow using waste nutrients •Nutrient uptake related regulatory standards of waste release •Potential exploitation of algal biomass
  • 16. Sustainable Pathways for Algal Bioenergy Design of PBR comparison Vertical and horizontal Tubular reactors were compared In control and waste remediation condition, productivity is higher in vertical system with Ø 110 mm(Causerma et al, 2011) The specific biomass (e.g. reach on lipids) quickly achieved on horizontal tubular PBRØ 43 mm
  • 17. Sustainable Pathways for Algal Bioenergy Lighting and Harvesting: The effect on the growth and photophysiology of Nannochloropsis oculata Dr Naomi Ginnever, Dr Alla Silkina, Professor Kevin Flynn
  • 18. Sustainable Pathways for Algal Bioenergy Experiment and Rationale In order to develop the photosynthetic and lighting portion of the Enalgae model experiments were undertaken to establish the effect of photoperiod (at a consistent photodose) and harvesting on the growth, photophysiology, physiology and biochemistry. Experiments were undertaken in a 400L tubular bioreactor, which was artificially lit using metal halide lights. The photodose (15.471 mol photons m-2) was maintained over 4 experimental runs. 2 had a photoperiod of 11 hours and 2 had a photoperiod of 7 hours and 20 minutes. Supplied nutrient levels were calculated based on the known average cellular N content and the desired cell density
  • 19. Sustainable Pathways for Algal Bioenergy Methodology Samples were taken daily for cell counts and PAM fluorescence analysis PAM fluorescence measurements were made using a Walz PhytoPAM and these data were analysed using an iterative curve fitting solution (Eilers and Peeters (1988) This provided several photosynthetic parameters which are useful indicators of cell health, stress and light acclimation The quantum efficiency of photosystem II (Fv/Fm) is a very valuable measure of the overall cell health/stress Light saturation coefficient (Ek) indicates the light acclimation state of the cells
  • 20. Sustainable Pathways for Algal Bioenergy Initial Results The cultures were not harvested until 40 million cells were reached A 25% harvest was performed 3 times reducing the cell numbers to 30 million cells N=2, Experimental replicates 5 10 15 20 25 30 0.00E+00 5.00E+06 1.00E+07 1.50E+07 2.00E+07 2.50E+07 3.00E+07 3.50E+07 4.00E+07 4.50E+07 5.00E+07 0 2 4 6 8 10 12 14 16 18 20 22 Cells/ mL Day (-1) 0.00E+00 5.00E+06 1.00E+07 1.50E+07 2.00E+07 2.50E+07 3.00E+07 3.50E+07 4.00E+07 4.50E+07 5.00E+07 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 Cells/ mL Day (-1) Max div.day-1 =0.733, 0.711
  • 21. Sustainable Pathways for Algal Bioenergy Initial Results 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 Fv/Fm 15 (relative units) Day (-1) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0 2 4 6 8 10 12 14 16 18 20 22 Fv/Fm 15 (relative units) Day (-1) The Fv/Fm dropped dramatically after inoculation and after the initial partial harvest There then appeared to be an acclimation as the dramatic drop was not observed post partial harvest again The carotenoid content in the cultures of both experimental photoperiods increased significantly during the run From 0.5 ng (106 cells) to 1.75 ng (106 cells) and 0.65 ng (106 cells) to 2.1 ng (106 cells) (both P= <0.05)
  • 22. Sustainable Pathways for Algal Bioenergy Initial Results 0 100 200 300 400 500 600 700 800 900 1000 0 2 4 6 8 10 12 14 16 18 20 22 Ek (relative units) Day (-1) 0 200 400 600 800 1000 1200 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 Ek (relative units) Day (-1) The Ek increase increased post innoculation The Ek curve then saturated, and did not increase further This is likely due to the reduction in light per cell as the culture density increased meaning the cells do not need to become acclimated to a higher light level The ratio of Chl a to carotenoids decreased during the growth curve in both cultures
  • 23. Sustainable Pathways for Algal Bioenergy Discussion and Conclusions The analysis of the biomass of is at an early stage and will be analysed in detail to fully understand the effect of different photoperiods and light levels on the photosystems and cellular composition Work is also being completed to investigate the effect of photoperiod using different LED colour mixes Data from outdoor experimental runs at different times of year are also being incorporated into the model to complete this component of the model
  • 24. Sustainable Pathways for Algal Bioenergy Discussion and Conclusions The data suggests that despite the photodose being the same, the increased light level results in a longer lag phase After the 3rd harvest there is also a slower recovery Therefore it is recommended that a lower light level be used for longer photoperiod The higher light level did result in a non- significantly higher carotenoid content
  • 25. Sustainable Pathways for Algal Bioenergy Discussion and Conclusions The initial partial harvesting had a negative effect on the photophysiology and resulted in a slight reduction in div.day However this effect was not observed after the second harvest At the 3rd harvest only the higher light level was negatively effected Therefore it is clear harvesting may have a negative effect if a large harvest is performed and at high light levels.
  • 26. Sustainable Pathways for Algal Bioenergy THANK YOU FOR YOUR ATTENTION a.silkina@swansea.ac.uk n.ginnever@swansea.ac.uk Sustainable Pathways for Algal Bioenergy The Enalgae model and decision support tool will be available for use by industry in NW Europe after the project is complete