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Sustainable Pathways for Algal Bioenergy 
Environmental Life Cycle Assessment applied to microalgae-based technologies: Methodology presentation and case studies analysis 
Sue Ellen Taelman, Sophie Sfez 
Department of Sustainable Organic Chemistry and Technology, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium 
EnAlgae Symposium , Kortrijk, Belgium 
18th September 2014
Sustainable Pathways for Algal Bioenergy 
Introduction EnAlgae: INTERREG IVB North West Strategic Initiative (03/2011 – 06/2015) 
9 pilot scale algae cultivation sites (micro- and macroalgae) 
•In Lelystad, The Netherlands: Integrated microalgal biorefinery 
•In Roeselare, Belgium: Algae-based wastewater treatment
Sustainable Pathways for Algal Bioenergy Demand for vegetable protein feed sources increases Import of proteins in the EU: soybean crops, mainly from Brazil Deforestation, fossil fuel use, ..  Sustainable? Alternative : algae as renewable protein source Potential: 
–Up to 50% proteins 
–Considered to be highly productive 
–Cultivation on marginal land possible 
–… Goal of this study: 
(1) Determining the natural resource footprint of protein rich algal meal for livestock feed applications in The Netherlands 
(2) Comparison with soybean crop production in Brazil and transport to The Netherlands 
What is the most sustainable protein rich alternative? 
Part 1: Integrated microalgal biorefinery
Sustainable Pathways for Algal Bioenergy 
Env. Sustainability Analysis 
Foreground: 95% gathered at the site 
Background: database ecoinvent v2.2 
Functional unit: basket of products 
System boundaries: cradle-to-gate 
Resource consumption (CEENE) Dewulf et al. 2007 Life Cycle Assessment (LCA), ISO standards 14040 & 14044
Sustainable Pathways for Algal Bioenergy 
Cattle manure, maize 
straw, feeding residues, 
silage maize 
Electricity 
Biogas 
Digestate 
Storage 
CHP 
Digester UNIT 
Flue gases 400°C 
Electricity 
Heat (warm water) 
Condenser 1 
Condenser 2 
Electricity 
Electricity 
Flue gases 120°C 
Heat 
(warm water) 
Bio-ethanol 
unit 
Heat (warm water) Flue gases 50°C 
Pond 
Outside 
Pond 
Inside 
Centr. 1 
Centr. 2 
Coalescer 1 
Coalescer 2 
Flue gases 
in excess 
Electricity 
Nutrients (N,P) 
Water (rain and fresh) 
Electricity Water evaporated CO2 
Effluent 1 
Effluent 2 
Harvested fraction 
Harvested fraction 
Electricity 
Water (fresh) 
Centrate 1+ 2 
Concentrate 1 
Concentrate 2 
Sunlight/Land 
inoculum T4 T3 T6 
dryer Extraction 
step 
ALGAE OIL 
ALGAE MEAL 
field 
Sewer 
Artificial 
lighting 
500 m² 
3241 kg 
DW.ha-1.y-1 
10.2% DW
Sustainable Pathways for Algal Bioenergy 
LCA (cradle-to-gate) System expansion based on functionalities to avoid allocation
Sustainable Pathways for Algal Bioenergy 
LCA results (CEENE method) 
MJex/functionalities 
Abiotic Renewables 
Fossil 
fuels 
Nuclear 
resources 
Metal ores 
Minerals 
Water 
Land use 
Atmospheric 
resources 
TOTAL 
Relative contribution (%) 
Digestion 
2.64E+01 
6.86E+02 
6.66E+01 
5.51E-01 
9.04E-01 
4.64E+01 
1.41E+03 
0.00E+00 
2.21E+03 
72.74 
CHP process 
6.35E+00 
1.48E+02 
1.53E+01 
7.40E-02 
3.68E-02 
1.17E+01 
4.23E+00 
0.00E+00 
1.86E+02 
6.14 
Condensation 
3.01E+00 
7.08E+01 
7.30E+00 
1.57E-02 
1.51E-02 
5.58E+00 
1.99E+00 
0.00E+00 
8.87E+01 
2.93 
Inoculum production 
1.76E+00 
2.67E+01 
5.51E+00 
3.22E-02 
2.50E-02 
8.62E+00 
9.40E-01 
0.00E+00 
4.36E+01 
1.44 
Algae cultivation T2 
7.12E+00 
1.68E+02 
1.74E+01 
8.16E-02 
5.12E-02 
2.30E+01 
7.60E+00 
0.00E+00 
2.24E+02 
7.37 
Algae cultivation T1 
7.10E+00 
1.68E+02 
1.73E+01 
8.18E-02 
5.33E-02 
2.30E+01 
7.59E+00 
0.00E+00 
2.23E+02 
7.35 
Dewatering T2 
1.00E+00 
2.35E+01 
2.42E+00 
7.18E-03 
5.79E-03 
1.85E+00 
6.65E-01 
0.00E+00 
2.94E+01 
0.97 
Dewatering T1 
1.00E+00 
2.35E+01 
2.42E+00 
7.18E-03 
5.79E-03 
1.85E+00 
6.65E-01 
0.00E+00 
2.94E+01 
0.97 
Drying 
7.69E-03 
2.79E+00 
1.39E-02 
1.95E-04 
2.92E-04 
5.54E-03 
2.54E-03 
0.00E+00 
2.82E+00 
0.09 
Crushing 
2.06E-03 
1.32E-01 
5.07E-03 
1.29E-05 
2.35E-05 
4.34E-03 
2.10E-03 
0.00E+00 
1.46E-01 
0.00 
TOTAL 
5.38E+01 
1.32E+03 
1.34E+02 
8.51E-01 
1.10E+00 
1.22E+02 
1.43E+03 
0.00E+00 
3.03E+03 
Relative contribution (%) 
1.77 
43.44 
4.43 
0.03 
0.04 
4.02 
47.16 
0.00
Sustainable Pathways for Algal Bioenergy 
LCA (cradle-to-gate) A basket of products delivered by the linear (soybean based) economy and (algae based) biorefinery 
Prudêncio da Silva et al. 2010
Sustainable Pathways for Algal Bioenergy 
MJex/functionalities 
Abiotic Renewables 
Fossil 
fuels 
Nuclear 
resources 
Metal ores 
Minerals 
Water 
Land use 
Atmospheric 
resources 
TOTAL 
Relative contribution (%) 
LINEAR ECONOMY 
Soybean cultivation 
1.18E-02 
2.69E-01 
2.79E-02 
7.15E-04 
6.91E-04 
2.57E-02 
4.81E+00 
0.00E+00 
5.15E+00 
91.47 
Drying 
6.97E-04 
2.33E-03 
9.15E-04 
2.03E-05 
3.92E-05 
1.76E-04 
1.75E-01 
0.00E+00 
1.80E-01 
3.19 
Crushing 
1.45E-02 
7.76E-02 
1.68E-03 
1.26E-05 
2.23E-05 
1.28E-03 
3.52E-03 
0.00E+00 
9.86E-02 
1.75 
Export to The Netherlands 
2.96E-03 
1.74E-01 
1.04E-02 
1.46E-04 
7.32E-04 
4.65E-03 
9.29E-03 
0.00E+00 
2.02E-01 
3.58 
TOTAL 
2.99E-02 
5.23E-01 
4.08E-02 
8.94E-04 
1.48E-03 
3.18E-02 
5.00E+00 
0.00E+00 
5.63E+00 
Relative contribution (%) 
0.53 
9.29 
0.73 
0.02 
0.03 
0.56 
88.85 
0.00 
BIOREFINERY 
Algae cultivation 
2.04E+01 
4.68E+02 
5.10E+01 
2.20E-01 
1.53E-01 
6.29E+01 
1.91E+01 
0.00E+00 
6.22E+02 
99.53 
Drying 
7.69E-03 
2.79E+00 
1.39E-02 
1.95E-04 
2.92E-04 
5.54E-03 
2.54E-03 
0.00E+00 
2.82E+00 
0.45 
Crushing 
1.84E-03 
1.18E-01 
4.51E-03 
1.15E-05 
2.09E-05 
3.86E-03 
1.87E-03 
0.00E+00 
1.30E-01 
0.02 
TOTAL 
2.05E+01 
4.72E+02 
5.11E+01 
2.20E-01 
1.54E-01 
6.30E+01 
1.91E+01 
0.00E+00 
6.25E+02 
Relative contribution (%) 
3.28 
75.50 
8.18 
0.04 
0.02 
10.08 
3.06 
0.00 
LCA results (CEENE method) 
Factor 100 difference could be expected: 
mature large scale technology (soybean) versus young small scale technology (algae)
Sustainable Pathways for Algal Bioenergy 
Conclusion (part 1) Improvements in terms of energy efficiency necessary to become competitive with protein rich soy meal 
Modified sensitivity test (electricity based on wind energy, lower working hours for blowers and mixing devices, more energy efficient blower, higher harvested fraction and algal productivity) reveals promising results! 
Further research: 
–Process optimization (e.g. recycling of centrates, digestate or livestock manure as nutrients for algae, …) 
–Protein digestibility 
–LCA: emission footprint
Sustainable Pathways for Algal Bioenergy Europe is turning toward a zero waste strategy in all industrial sectors WWT is not only considered as an instrument to deliver clean water 
New solutions investigated to couple WWT systems with the production of valuable products Aquaculture WWT using microalgae is investigated with 2 valorisation scenarios for microalgae: 
•Shrimp feed (subject to validation concerning biosecurity) 
•Biogas Goal of this study: 
(1) Determining the natural resource footprint of algae-based wastewater treatment plant at pilot and industrial scales 
(2) Comparison of two scenarios for microalgae valorisation 
Part 2: Algae-based wastewater treatment
Sustainable Pathways for Algal Bioenergy 
Env. Sustainability Analysis 
Functional unit: treatment of 1 m3 of wastewater 
System boundaries: cradle-to-gate 
Resource consumption (CEENE) 
Dewulf et al. 2007 Life Cycle Assessment (LCA), ISO standards 14040 & 14044 
System 
Pilot scale 
Upscaled 
Foreground 
95% gathered at the site 
50% extrapolated from pilot scale 
50% based on literature 
Background + valorisation 
ecoinvent v2.2 + literature review
Sustainable Pathways for Algal Bioenergy 
Valorisation scenarios 
Electricity 
Aquaculture farm 
Fish sludge 
Wastewater 
Microalgal 
Raceway ponds 
MaB-flocs 
Maize silage 
Digester 
Biogas 
Carbon 
content from 
the digestate 
Valorization as biogas 
Green 
certificates 
Soil conditioner 
Heat 
Digestate 
Electricity 
Heat 
Valorization as shrimp feed 
Aquaculture farm 
Fish sludge 
Wastewater 
Microalgal 
Raceway pondS 
MaB-flocs 
Valorization 
as biogas 
Maize silage 
Dried MaB-flocs 
for 
shrimp feed 
Drying Milling 
Green 
certificates 
Soil conditioner 
Valorisation as shrimp feed 
Valorisation as biogas
Sustainable Pathways for Algal Bioenergy 
Pump 
Filter bag 
Pump 
Electricity 
Electricity 
Settling 
tank 
Water 
Pump 
Influent 
Water 
Hydropress 
Press 
filtrate 
Water 
Dried MaB-flocs 
for 
shrimp feed 
Biogas 
Effluent 
Water 
Electricity 
MaB-flocs 
liquor 
Supernatant 
MaB-flocs losses 
Flue gas 
MaB-flocs losses 
Sunlight Land 
Natural 
gas 
Heat 
Pump 
Pump 
Electricity 
Drying 
(oven) 
Milling 
Digester 
Natural 
gas 
Heat 
Carbon 
content from 
the sludge 
Electricity 
Heat 
Reactor 
to stirring pumps 
Wastewater treatment: Pilot scale
Sustainable Pathways for Algal Bioenergy 
50 m 
5 m 
Pump 
Influent 
Water 
Reactor 
41 reactors 
= 
1ha of cultivation 
Electricity 
Effluent 
Water 
Pump 
Flue gas Sunlight Land 
Natural 
gas 
Heat 
Settling 
pit 
Electricity Pump 
Pump 
Supernatant 
Pump 
Blower 
Filter press 
Electricity 
a 
Dried MaB-flocs 
for 
shrimp feed 
Drying (drum 
dryer) 
Milling 
Valorization into shrimp feed 
a 
Valorization into biogas 
Digester 
Biogas 
Carbon content 
from the 
sludge 
Electricity 
Heat 
Reactor 
Reactor 
Reactor 
to stirring pumps 
Wind 
turbine 
Electricity 
Wastewater treatment: Upscaled
Sustainable Pathways for Algal Bioenergy 
0,00 
10,00 
20,00 
30,00 
40,00 
50,00 
60,00 
70,00 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Land resource Fossil fuels Metal ores Minerals Nuclear 
energy 
Water 
resources 
Abiotic 
renewable 
resources 
MJexCEENE/m3 treated water 
WWTP comparison - pilot vs upscaled - CEENE 
Electricity production from wind mill 
Electricity consumption filter belt 
Direct Land occupation 
Water consumption 
Natural gas consumption 
Infrastructure 
Electricity consumption for other pumps and 
blower 
Electricity consumption for stirring pumps 
50% 
43% 
93% 
86% 
40% 32% 68% 49% 
97% 
92% 
95% 
87% 84% 
1% 
LCA results: impact contribution
Sustainable Pathways for Algal Bioenergy 
0,00 
10,00 
20,00 
30,00 
40,00 
50,00 
60,00 
70,00 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Pilot scale 
Upscaled 
Land resource Fossil fuels Metal ores Minerals Nuclear 
energy 
Water 
resources 
Abiotic 
renewable 
resources 
MJexCEENE/m3 treated water 
WWTP comparison - pilot vs upscaled - CEENE 
Electricity production from wind mill 
Electricity consumption filter belt 
Direct Land occupation 
Water consumption 
Natural gas consumption 
Infrastructure 
Electricity consumption for other pumps and 
blower 
Electricity consumption for stirring pumps 
-62% 
-65% 
-65% 
-59% -62% -55% 
LCA results: effect of upscaling
Sustainable Pathways for Algal Bioenergy 
-30 
-20 
-10 
0 
10 
20 
30 
Shrimp feed 
AD 
Shrimp feed 
AD 
Shrimp feed 
AD 
Shrimp feed 
AD 
Shrimp feed 
AD 
Shrimp feed 
AD 
Shrimp feed 
AD 
Land 
resource 
Fossil fuels Metal ores Minerals Nuclear 
energy 
Water 
resources 
Abiotic 
renewable 
resources 
MJex,CEENE/m3 treated water 
Upscaled scenario - CEENE 
Phosphorus emission 
Nitrogen emission 
MaB-flocs cultivation 
Co-digestion of MaB-flocs + fish sludge + 
mais silage 
Co-digestion of fish sludge + mais silage 
Shrimp feed production 
Electricity from the grid - wind mill 
Shrimp feed from wheat 
Compost - AD 
Electricity from the grid - AD 
Heat from boiler - AD 
Avoided processes 
LCA results: integrated system 
Total exergyCEENE extracted from 
natural environment: 
 Shrimp feed: 32.7 MJex,CEENE 
 AD: 40.5 MJex,CEENE
Sustainable Pathways for Algal Bioenergy 
Conclusion (part 2) Stirring has the highest contribution to most impact categories: 51% of total exergyCEENE extracted from natural environment 
New mixing solutions should be investigated (e.g. adjustement of required mixing energy based on Manning formula, feasibility of using paddle wheels…) Upscaling reduces the total exergyCEENE extracted from natural environment by 41% In the integrated system, the extraction of exergy from natural environment is mostly compensated by the production of renewable energy With the assumptions made in this study1,valorisation of MaB- flocs as shrimp feed extracts less exergyCEENE from natural environment 
1(e.g. conventional wheat from Europe, intensive silage production etc)
Sustainable Pathways for Algal Bioenergy 
Thank you! 
SueEllen.Taelman@UGent.be 
+32 (0) 9 264 58 71 
Sophie.Sfez@UGent.be +32 (0) 9 264 99 27

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Session 1 15h15 taelman sfez_ug

  • 1. Sustainable Pathways for Algal Bioenergy Environmental Life Cycle Assessment applied to microalgae-based technologies: Methodology presentation and case studies analysis Sue Ellen Taelman, Sophie Sfez Department of Sustainable Organic Chemistry and Technology, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium EnAlgae Symposium , Kortrijk, Belgium 18th September 2014
  • 2. Sustainable Pathways for Algal Bioenergy Introduction EnAlgae: INTERREG IVB North West Strategic Initiative (03/2011 – 06/2015) 9 pilot scale algae cultivation sites (micro- and macroalgae) •In Lelystad, The Netherlands: Integrated microalgal biorefinery •In Roeselare, Belgium: Algae-based wastewater treatment
  • 3. Sustainable Pathways for Algal Bioenergy Demand for vegetable protein feed sources increases Import of proteins in the EU: soybean crops, mainly from Brazil Deforestation, fossil fuel use, ..  Sustainable? Alternative : algae as renewable protein source Potential: –Up to 50% proteins –Considered to be highly productive –Cultivation on marginal land possible –… Goal of this study: (1) Determining the natural resource footprint of protein rich algal meal for livestock feed applications in The Netherlands (2) Comparison with soybean crop production in Brazil and transport to The Netherlands What is the most sustainable protein rich alternative? Part 1: Integrated microalgal biorefinery
  • 4. Sustainable Pathways for Algal Bioenergy Env. Sustainability Analysis Foreground: 95% gathered at the site Background: database ecoinvent v2.2 Functional unit: basket of products System boundaries: cradle-to-gate Resource consumption (CEENE) Dewulf et al. 2007 Life Cycle Assessment (LCA), ISO standards 14040 & 14044
  • 5. Sustainable Pathways for Algal Bioenergy Cattle manure, maize straw, feeding residues, silage maize Electricity Biogas Digestate Storage CHP Digester UNIT Flue gases 400°C Electricity Heat (warm water) Condenser 1 Condenser 2 Electricity Electricity Flue gases 120°C Heat (warm water) Bio-ethanol unit Heat (warm water) Flue gases 50°C Pond Outside Pond Inside Centr. 1 Centr. 2 Coalescer 1 Coalescer 2 Flue gases in excess Electricity Nutrients (N,P) Water (rain and fresh) Electricity Water evaporated CO2 Effluent 1 Effluent 2 Harvested fraction Harvested fraction Electricity Water (fresh) Centrate 1+ 2 Concentrate 1 Concentrate 2 Sunlight/Land inoculum T4 T3 T6 dryer Extraction step ALGAE OIL ALGAE MEAL field Sewer Artificial lighting 500 m² 3241 kg DW.ha-1.y-1 10.2% DW
  • 6. Sustainable Pathways for Algal Bioenergy LCA (cradle-to-gate) System expansion based on functionalities to avoid allocation
  • 7. Sustainable Pathways for Algal Bioenergy LCA results (CEENE method) MJex/functionalities Abiotic Renewables Fossil fuels Nuclear resources Metal ores Minerals Water Land use Atmospheric resources TOTAL Relative contribution (%) Digestion 2.64E+01 6.86E+02 6.66E+01 5.51E-01 9.04E-01 4.64E+01 1.41E+03 0.00E+00 2.21E+03 72.74 CHP process 6.35E+00 1.48E+02 1.53E+01 7.40E-02 3.68E-02 1.17E+01 4.23E+00 0.00E+00 1.86E+02 6.14 Condensation 3.01E+00 7.08E+01 7.30E+00 1.57E-02 1.51E-02 5.58E+00 1.99E+00 0.00E+00 8.87E+01 2.93 Inoculum production 1.76E+00 2.67E+01 5.51E+00 3.22E-02 2.50E-02 8.62E+00 9.40E-01 0.00E+00 4.36E+01 1.44 Algae cultivation T2 7.12E+00 1.68E+02 1.74E+01 8.16E-02 5.12E-02 2.30E+01 7.60E+00 0.00E+00 2.24E+02 7.37 Algae cultivation T1 7.10E+00 1.68E+02 1.73E+01 8.18E-02 5.33E-02 2.30E+01 7.59E+00 0.00E+00 2.23E+02 7.35 Dewatering T2 1.00E+00 2.35E+01 2.42E+00 7.18E-03 5.79E-03 1.85E+00 6.65E-01 0.00E+00 2.94E+01 0.97 Dewatering T1 1.00E+00 2.35E+01 2.42E+00 7.18E-03 5.79E-03 1.85E+00 6.65E-01 0.00E+00 2.94E+01 0.97 Drying 7.69E-03 2.79E+00 1.39E-02 1.95E-04 2.92E-04 5.54E-03 2.54E-03 0.00E+00 2.82E+00 0.09 Crushing 2.06E-03 1.32E-01 5.07E-03 1.29E-05 2.35E-05 4.34E-03 2.10E-03 0.00E+00 1.46E-01 0.00 TOTAL 5.38E+01 1.32E+03 1.34E+02 8.51E-01 1.10E+00 1.22E+02 1.43E+03 0.00E+00 3.03E+03 Relative contribution (%) 1.77 43.44 4.43 0.03 0.04 4.02 47.16 0.00
  • 8. Sustainable Pathways for Algal Bioenergy LCA (cradle-to-gate) A basket of products delivered by the linear (soybean based) economy and (algae based) biorefinery Prudêncio da Silva et al. 2010
  • 9. Sustainable Pathways for Algal Bioenergy MJex/functionalities Abiotic Renewables Fossil fuels Nuclear resources Metal ores Minerals Water Land use Atmospheric resources TOTAL Relative contribution (%) LINEAR ECONOMY Soybean cultivation 1.18E-02 2.69E-01 2.79E-02 7.15E-04 6.91E-04 2.57E-02 4.81E+00 0.00E+00 5.15E+00 91.47 Drying 6.97E-04 2.33E-03 9.15E-04 2.03E-05 3.92E-05 1.76E-04 1.75E-01 0.00E+00 1.80E-01 3.19 Crushing 1.45E-02 7.76E-02 1.68E-03 1.26E-05 2.23E-05 1.28E-03 3.52E-03 0.00E+00 9.86E-02 1.75 Export to The Netherlands 2.96E-03 1.74E-01 1.04E-02 1.46E-04 7.32E-04 4.65E-03 9.29E-03 0.00E+00 2.02E-01 3.58 TOTAL 2.99E-02 5.23E-01 4.08E-02 8.94E-04 1.48E-03 3.18E-02 5.00E+00 0.00E+00 5.63E+00 Relative contribution (%) 0.53 9.29 0.73 0.02 0.03 0.56 88.85 0.00 BIOREFINERY Algae cultivation 2.04E+01 4.68E+02 5.10E+01 2.20E-01 1.53E-01 6.29E+01 1.91E+01 0.00E+00 6.22E+02 99.53 Drying 7.69E-03 2.79E+00 1.39E-02 1.95E-04 2.92E-04 5.54E-03 2.54E-03 0.00E+00 2.82E+00 0.45 Crushing 1.84E-03 1.18E-01 4.51E-03 1.15E-05 2.09E-05 3.86E-03 1.87E-03 0.00E+00 1.30E-01 0.02 TOTAL 2.05E+01 4.72E+02 5.11E+01 2.20E-01 1.54E-01 6.30E+01 1.91E+01 0.00E+00 6.25E+02 Relative contribution (%) 3.28 75.50 8.18 0.04 0.02 10.08 3.06 0.00 LCA results (CEENE method) Factor 100 difference could be expected: mature large scale technology (soybean) versus young small scale technology (algae)
  • 10. Sustainable Pathways for Algal Bioenergy Conclusion (part 1) Improvements in terms of energy efficiency necessary to become competitive with protein rich soy meal Modified sensitivity test (electricity based on wind energy, lower working hours for blowers and mixing devices, more energy efficient blower, higher harvested fraction and algal productivity) reveals promising results! Further research: –Process optimization (e.g. recycling of centrates, digestate or livestock manure as nutrients for algae, …) –Protein digestibility –LCA: emission footprint
  • 11. Sustainable Pathways for Algal Bioenergy Europe is turning toward a zero waste strategy in all industrial sectors WWT is not only considered as an instrument to deliver clean water New solutions investigated to couple WWT systems with the production of valuable products Aquaculture WWT using microalgae is investigated with 2 valorisation scenarios for microalgae: •Shrimp feed (subject to validation concerning biosecurity) •Biogas Goal of this study: (1) Determining the natural resource footprint of algae-based wastewater treatment plant at pilot and industrial scales (2) Comparison of two scenarios for microalgae valorisation Part 2: Algae-based wastewater treatment
  • 12. Sustainable Pathways for Algal Bioenergy Env. Sustainability Analysis Functional unit: treatment of 1 m3 of wastewater System boundaries: cradle-to-gate Resource consumption (CEENE) Dewulf et al. 2007 Life Cycle Assessment (LCA), ISO standards 14040 & 14044 System Pilot scale Upscaled Foreground 95% gathered at the site 50% extrapolated from pilot scale 50% based on literature Background + valorisation ecoinvent v2.2 + literature review
  • 13. Sustainable Pathways for Algal Bioenergy Valorisation scenarios Electricity Aquaculture farm Fish sludge Wastewater Microalgal Raceway ponds MaB-flocs Maize silage Digester Biogas Carbon content from the digestate Valorization as biogas Green certificates Soil conditioner Heat Digestate Electricity Heat Valorization as shrimp feed Aquaculture farm Fish sludge Wastewater Microalgal Raceway pondS MaB-flocs Valorization as biogas Maize silage Dried MaB-flocs for shrimp feed Drying Milling Green certificates Soil conditioner Valorisation as shrimp feed Valorisation as biogas
  • 14. Sustainable Pathways for Algal Bioenergy Pump Filter bag Pump Electricity Electricity Settling tank Water Pump Influent Water Hydropress Press filtrate Water Dried MaB-flocs for shrimp feed Biogas Effluent Water Electricity MaB-flocs liquor Supernatant MaB-flocs losses Flue gas MaB-flocs losses Sunlight Land Natural gas Heat Pump Pump Electricity Drying (oven) Milling Digester Natural gas Heat Carbon content from the sludge Electricity Heat Reactor to stirring pumps Wastewater treatment: Pilot scale
  • 15. Sustainable Pathways for Algal Bioenergy 50 m 5 m Pump Influent Water Reactor 41 reactors = 1ha of cultivation Electricity Effluent Water Pump Flue gas Sunlight Land Natural gas Heat Settling pit Electricity Pump Pump Supernatant Pump Blower Filter press Electricity a Dried MaB-flocs for shrimp feed Drying (drum dryer) Milling Valorization into shrimp feed a Valorization into biogas Digester Biogas Carbon content from the sludge Electricity Heat Reactor Reactor Reactor to stirring pumps Wind turbine Electricity Wastewater treatment: Upscaled
  • 16. Sustainable Pathways for Algal Bioenergy 0,00 10,00 20,00 30,00 40,00 50,00 60,00 70,00 Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Land resource Fossil fuels Metal ores Minerals Nuclear energy Water resources Abiotic renewable resources MJexCEENE/m3 treated water WWTP comparison - pilot vs upscaled - CEENE Electricity production from wind mill Electricity consumption filter belt Direct Land occupation Water consumption Natural gas consumption Infrastructure Electricity consumption for other pumps and blower Electricity consumption for stirring pumps 50% 43% 93% 86% 40% 32% 68% 49% 97% 92% 95% 87% 84% 1% LCA results: impact contribution
  • 17. Sustainable Pathways for Algal Bioenergy 0,00 10,00 20,00 30,00 40,00 50,00 60,00 70,00 Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Pilot scale Upscaled Land resource Fossil fuels Metal ores Minerals Nuclear energy Water resources Abiotic renewable resources MJexCEENE/m3 treated water WWTP comparison - pilot vs upscaled - CEENE Electricity production from wind mill Electricity consumption filter belt Direct Land occupation Water consumption Natural gas consumption Infrastructure Electricity consumption for other pumps and blower Electricity consumption for stirring pumps -62% -65% -65% -59% -62% -55% LCA results: effect of upscaling
  • 18. Sustainable Pathways for Algal Bioenergy -30 -20 -10 0 10 20 30 Shrimp feed AD Shrimp feed AD Shrimp feed AD Shrimp feed AD Shrimp feed AD Shrimp feed AD Shrimp feed AD Land resource Fossil fuels Metal ores Minerals Nuclear energy Water resources Abiotic renewable resources MJex,CEENE/m3 treated water Upscaled scenario - CEENE Phosphorus emission Nitrogen emission MaB-flocs cultivation Co-digestion of MaB-flocs + fish sludge + mais silage Co-digestion of fish sludge + mais silage Shrimp feed production Electricity from the grid - wind mill Shrimp feed from wheat Compost - AD Electricity from the grid - AD Heat from boiler - AD Avoided processes LCA results: integrated system Total exergyCEENE extracted from natural environment:  Shrimp feed: 32.7 MJex,CEENE  AD: 40.5 MJex,CEENE
  • 19. Sustainable Pathways for Algal Bioenergy Conclusion (part 2) Stirring has the highest contribution to most impact categories: 51% of total exergyCEENE extracted from natural environment New mixing solutions should be investigated (e.g. adjustement of required mixing energy based on Manning formula, feasibility of using paddle wheels…) Upscaling reduces the total exergyCEENE extracted from natural environment by 41% In the integrated system, the extraction of exergy from natural environment is mostly compensated by the production of renewable energy With the assumptions made in this study1,valorisation of MaB- flocs as shrimp feed extracts less exergyCEENE from natural environment 1(e.g. conventional wheat from Europe, intensive silage production etc)
  • 20. Sustainable Pathways for Algal Bioenergy Thank you! SueEllen.Taelman@UGent.be +32 (0) 9 264 58 71 Sophie.Sfez@UGent.be +32 (0) 9 264 99 27