A2MA2M Experimental and modeling approaches to optimize an algae-to-methane coupled bioreactor...
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Transcript of A2MA2M Experimental and modeling approaches to optimize an algae-to-methane coupled bioreactor...
A2MExperimental and modeling approaches to optimize
an algae-to-methane coupled bioreactor system
Ruby An – 2015 SURF Metcalf StudentPrincipal Investigators : Joe Vallino & Zoe Cardon
The University of Chicago – Chicago – IL – MA – Woods Hole – Marine Biological Laboratory
Algae-to-methane (A2M) has potential as an efficient and practical renewable energy strategy
• Algal biomass: minimal land & water usage• Methane: efficiently stored & energy on demand
www.prx.orgwww.wageningenur.nl
A2M Research Aims
1. Experimental – Develop closed system with 100% nutrient recycling– Maximize methane production
2. Modeling – Develop accurate description of system– Predict system performance to achieve experimental
objectives
A2M Design
Temperature: 25 °C
A2M Design
Aerobic Algal Reactor
Inputs:• Air • CO2
• Light – Diel 12h Cycle
Temperature: 25 °C
Chlamydomonas rienhardtii CW15
25 μm
Green algae mutant lacking a cell wall
A2M Design
Temperature: 25 °C
Anaerobic Microbial Digester
Output: • CO2 and methane gas• Digested algae as nutrients & detritus
Aim 1: Experimental Set-upA2M IRL
Liquid Volume:• pH• Dissolved oxygen (DO)
Headspace:• Oxygen (O2 ) • Carbon Dioxide (CO2 )• Methane (CH4)
Data Monitoringin both reactors
Key Features of the Data
Lights on Lights off
Lights on Lights off
CO2 + H2O CH2O + O2 light
algae
Key Features of Data
Installed spargers
Doubled light levels
Elevated CO2 input0.039% => 2%
Key Features of Data
Day 1 Yesterday
Aim 2a: Algal Reactor Mass Balance Model
rate of change = gain - loss
State Variables:1. CAlgae
2. CDIC(aq)
3. CO2(aq)
4. pCO2(g)
5. pO2(g)
Inflow & Outflow
Inflow & Outflow
MassTransfer
Inflow & Outflow
MassTransfer
Algal Growth & Respiration
CO2 + H2O CH2O + O2lightalgae
Algal Growth Equation
Light Limitation CO2 Limitation
Adjustable Parameters
Model & Data Comparison
Model fit to days 57-60
ModelData
Model & Data ComparisonModel predictions for days 30-33
Data
Model
In Summary:
• Experimentally - achieved high algal growth • Accurately modeled algal reactor dynamics
• Establish and maximize methane production• Develop the full coupled bioreactor model to
simulate methanogenisis
Next Steps:
Acknowledgements
Joe VallinoZoe Cardon
Suzanne Thomas
Anonymous DonorKen Foreman & Wyntin Goodman
Zeiss Microscopy StaffJim & Joey
Questions/Discussion
Supplementary Info
Anaerobic Microbial Community
www.oceanscience.com
Inoculated Day 71
Methane
• Microscopic analysis of algal cellular disintegration
• Jumpstart methanogenic pathway : new inoculum
• Genomic analysis of microbial community?
Methane Production Strategies