| Literature DB >> 36212025 |
Atsu Kludze1,2, Devan Solanki1,2, Marcelo Lejeune1,2, Rito Yanagi1,2, Momoko Ishii1,3, Neera Raychaudhuri1, Paul Anastas3, Nanette Boyle4,5, Shu Hu1,2.
Abstract
Increasing concentrations of atmospheric CO2 are leading to rising global temperatures and extreme weather events. However, the most prominent method of removing CO2 via direct air capture remains cost-prohibitive. Oceans sequester carbon through several naturally occurring carbon dioxide removal (CDR) processes, one of which includes microorganisms that utilize dissolved inorganic carbon (DIC) in their metabolic processes. Atmospheric CO2 is in dynamic equilibrium with DIC at the ocean's surface. Thus, ocean-based CDR can function to capture carbon from the air indirectly. This work discusses a hybrid method that combines primary CO2 capture via the growth of autotrophic microorganisms (i.e., photosynthetic cyanobacteria) and microbially induced carbonate precipitation. Carbon fixation and carbonate precipitation can be co-optimized using bipolar membrane electrodialysis (BPMED) devices , which generate seawater with an adjustable pH. We examine the scale-up potential for naturally produced bio-carbonate composite material and compare its production with published ocean CDR strategies for reducing anthropogenic CO2 emissions.Entities:
Keywords: Materials chemistry; Materials in biotechnology; Materials science; Materials structure; Microbiology
Year: 2022 PMID: 36212025 PMCID: PMC9535420 DOI: 10.1016/j.isci.2022.105156
Source DB: PubMed Journal: iScience ISSN: 2589-0042
Electrochemical ocean carbon removal and capture strategies
| Strategy | Acid/Alkaline CO2 Capture | Feed/Input | Energy Consumption (kJ mol−1 CO2) | Key Features/Concerns | References |
|---|---|---|---|---|---|
| BPMED + vacuum | Acid | Artificial seawater | 242 | 59% of the total DIC extracted from seawater; | ( |
| BPMED + vacuum | Acid | Synthetic seawater | 155.4 | 71% CO2 capture efficiency; | ( |
| Electrolytic cation exchange module + vacuum | Acid | Natural seawater | Not reported | Degassed and recovered 92% of CO2 from seawater; | ( |
| Enhanced weathering via electrochemical HCl removal | Alkaline | None | 100–400 | Net reaction/process is essentially identical for seawater or artificial brine; | ( |
| Electrolytic calcium carbonate splitting | Alkaline | Natural seawater | Not reported | Produces hydroxide solutions without thermal calcination or electrochemically NaCl splitting; | ( |
| Enhanced weathering via electrolytic dissolution of silicate minerals | Alkaline | Na2SO4/deionized water solution | 426–481 | Precipitation of silica or other sulfates on an anode may reduce conductivity over time; | ( |
| Microbial electrolytic carbon capture | Alkaline | Artificial and real wastewater | 57−62 net energy gain | 80%−93% of CO2 generated or artificially injected was captured; | ( |
| BPMED + brine input | Alkaline/Acid | Approximately 394 and 658 for the acid and base process, respectively | More CO2 was extracted by increasing the number of membrane contactors or by operating at a lower pressure; | ( |
NaCl-NaHCO3/deionized water solution and sea salt/deionized water solution.
Sea salt/deionized water solution.
Seawater from Key West, FL.
Total work calculated across a range of efficiencies scenarios and time scales.
To offset 15% of carbon annual carbon emissions, 1014 mol of HCl needs to be removed annually and will require ∼100 plants with capacities of large sewage faculties.
Local seawater from Santa Cruz, CA.
Energy consumption was >103 higher than expected.
Real wastewater collected from a hydraulically fractured shale gas well in Piceance Basin, CO.
Calculated assuming a CO2 extraction rate of 7202 metric tons of CO2 per year and energy consumption of 17.9 and 29.9 GWh for the acid and base process, respectively.
Figure 1Schematic of the envisioned microbially induced carbonate precipitation (MICP) process
Figure 2Schematic of a bipolar membrane electrodialysis flow cell
Figure 3Process flow diagram of scaled-up microbially induced precipitation (MICP) process
List of parameters for each stream in the process shown in Figure 3
| Seawater flow rate (kg/s) | DIC (μmol/kg) | Alkalinity (μmol/kg) | pH | CO2 (μmol/kg) | HCO3−(μmol/kg) | CO32−(μmol/kg) | Ca2+ (μmol/kg) | Ωarag | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1.19 | 2000 | 2300 | 8.12 | 10.5 | 1778 | 211.43 | 10,284 | 3.28 |
| 2 | 1.00 | 2000 | 2035 | 7.50 | 46.8 | 1899 | 53.96 | 10,284 | 0.838 |
| 3 | 0.19 | 2000 | 3698 | 9.30 | 0.279 | 716.1 | 1283.6 | 10,284 | 20.0 |
| 4 | 1.00 | 748.2 | 2035 | 9.83 | 0.0123 | 106.4 | 641.74 | 10,284 | 9.97 |
| 5 | 1.19 | 270.3 | 881.5 | 9.35 | 0.0313 | 89.87 | 180.37 | 9658.7 | 2.63 |
Photoreactors and optimal conditions for scaled-up CO2 sequestration using cyanobacteria
| Reactor type | Characteristics | Conditions for Optimal Photosynthesis | Risks and Challenges to CO2 sequestration | Suitability for Scale-Up | References |
|---|---|---|---|---|---|
| Air lift | Two compartments (internal and external loops): one contains gas (riser) and other does not (downcomer) | Large-scale cultivation of microorganisms (good light use, temperature control, high mass transfer coefficient) | Difficult to scale-up due to gas residence in various compartments (impact turbulence, mixing, gas-liquid mass transfer, heat transfer); low hydrodynamics stress on microorganisms | No | ( |
| Bubble column | Tall cylindrical vessel; affordable to purchase and maintain | Requires external light, works best in shorter light and dark cycle | No mixing mechanics; no agitation; sparged gas moves upward; mixing/stirring required for CO2 sequestration | Yes | ( |
| Flat panel | Flat, cuboid with a short light path; often made from transparent panels | Light often externally supplied; adjustable light path to achieve higher/lower light saturation levels | High-stress damage related to aeration; a power supply of 53 W/m3 needed to induce mass transfer rate high enough to avoid O2 gas accumulation which may damage microorganisms | Yes | ( |
| Helical tubular | Transparent, coiled, flexible tube of small diameter; centrifugal pump drives culture through a long tube to the degassing unit; degassing unit can be independent or attached | Cone shape provides high light-harvesting efficiency without changing basal area | Limited scalability—the centrifugal pump needs high amount of energy, high heating, and lighting costs; high shear stress; problems with fouling | No | ( |
| Horizontal or vertical tubular | Tubes arranged horizontally or vertically in parallel positions to maximize light exposure | Suitable for outdoor cultivation (high biomass yields, short harvest times); efficient temperature control and lighting; high surface area enhances light energy input efficiency | CO2 in the exhaust gas is likely to be released to the atmosphere than sequestered; cell growth and fouling in corners or along walls; slow mass transfer of CO2 into liquid medium (low growth rate of microorganisms) | Depends on reactor setup | ( |
| Stirred tank | Vessel with stirring system and relatively large volume (1–3 L), sometimes with blade agitators; temperature control usually available, no light | High growth rate of cyanobacteria—CO2 bubbled at the bottom of reactor provide growing bacteria carbon source; external light supply needed | Limited scalability due to the low surface area, high shear stress | No | ( |
Calculation approaches indicated as the master variables used to calculate the stream seawater chemistry at equilibrium, and the reasoning and assumptions behind these choices
| Calculation factors | Reasoning | |
|---|---|---|
| 1 | DIC, Alkalinity | Input DIC and Alkalinity are used to characterize the input seawater chemistry |
| 2 | DIC, pH | Target acid stream pH used. DIC degassing is assumed to be constrained, thus held constant. |
| 3 | DIC, pH | Target basic pH used. DIC dissolution is assumed to be constrained, thus held constant. |
| 4 | DIC, Alkalinity | DIC consumption by cyanobacteria used to calculate output DIC. Nutrient consumption effects are not considered because of their high variability depending on local conditions and marine cyanobacteria’s low nutrient requirements. |
| 5 | DIC, Alkalinity | Changes in DIC and Alkalinity due to carbonate precipitation and subsequent linear mixing of the acidified and basified streams are used to calculate effluent’s DIC and alkalinity. |