Embodiments of the present disclosure generally relate to carbon dioxide (CO2) mineralization of concrete composites. More specifically, the present disclosure relates to a system for carbonation curing of concrete composites and methods of manufacturing a carbonated concrete composite. The binder of concrete includes at least one of the hydrated lime, cement and/or coal combustion residues (such as fly ash) that are combined with aggregates and water to make concrete mixtures. The concrete mixture is then contacted with flue gas containing CO2 inside of the carbonation chamber.
Concrete is generally made of one or more aggregates (e.g., sand, gravel, crushed stone, etc.) and a paste (e.g., water and a binder). In most concretes, the binder is ordinary portland cement. Manufacture of the binder (e.g., a cementation agent), however, involves processes that generate and release large amounts of carbon dioxide—a greenhouse gas—into the atmosphere. Calcination of carbonate rocks during the manufacture of cement produced 5% of global CO2 emissions from all industrial process and fossil-fuel combustion in 2013. Greenhouse gases absorb solar energy and keep heat close to Earth's surface, rather than letting it escape into space. This trapping of heat is known as the greenhouse effect, which leads to global warming. Rising levels of carbon dioxide in the atmosphere have been associated with global warming.
Moreover, some binders (e.g., low-carbon) are available for use in the manufacture of concrete composites. However, concrete composites made with these binders generally have weaker material properties than concrete composite made with other binders, thus making the concrete composites made with certain binders unsuitable for most building purposes.
Accordingly, there exists a need for systems and processes for carbonation curing of concrete composites. Additionally, there exists a need for carbonation curing of concrete composites using industrial waste gas.
In various embodiments, a method of manufacturing a carbonated concrete composite is provided where a concrete precursor is placed into a carbonation reactor for carbonation curing. The concrete precursor includes a binder, aggregates, and water. The carbonation reactor has at least one gas stream inlet and an outlet. A gas stream is received at the at least one inlet of the carbonation reactor. The gas stream includes carbon dioxide. A suitable temperature, relative humidity, CO2 amount, gas stream flow rate, or a combination thereof is maintained in the carbonation reactor so a carbonation rate constant of the concrete precursor is at or above 0.005 to thereby react the concrete precursor with the gas stream and form the carbonated concrete composite.
In various embodiments, a CO2 mineralization system includes a gas humidification chamber, a gas stream coupled to an input of the humidifier, and a gas inlet coupled to a carbonation reactor and an output of the humidification chamber. The gas stream comprises carbon dioxide. The carbonation reactor is configured to receive concrete and react the concrete with the gas stream to thereby form a carbonated concrete composite.
In various embodiments, a method of manufacturing a first carbonated concrete composite and a second carbonated concrete component is provided where a first concrete masonry unit (CMU) precursor is placed into a carbonation reactor for carbonation curing. The first CMU precursor includes a binder, aggregates, and water. The carbonation reactor has at least one gas stream inlet and an outlet. The first CMU precursor is exposed to a gas stream from the at least one gas stream inlet of the carbonation reactor. The gas stream includes carbon dioxide. A temperature, relative humidity, CO2 amount, gas stream flow rate, or a combination thereof is maintained in the carbonation reactor so that a carbonation rate constant of the first CMU precursor is at or above 0.005 to thereby react the first CMU precursor with the gas stream and form the first carbonated concrete composite. The compressibility and/or porosity of the first carbonated concrete composite is measured. A second CMU precursor is placed into the carbonation reactor for carbonation curing. The second CMU precursor includes a binder, aggregates, and water. The second CMU precursor is exposed to a modified gas stream from the at least one inlet of the carbonation reactor. A temperature, relative humidity, CO2 amount, gas stream flow rate, or a combination thereof is maintained in the carbonation reactor so that a carbonation rate constant of the second CMU precursor is at or above 0.005 to thereby react the second CMU precursor with the gas stream and form a second carbonated concrete composite.
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The present invention advantageously uses carbon dioxide gas (e.g., carbon dioxide from flue gases, carbon dioxide as high pressure cylinder gas, etc.) during curing processes to sequester CO2 via carbonate mineral formation in concrete composites. In particular, the present invention uses CO2 to carbonate concrete composites into carbonated concrete composites, thereby providing a method for manufacturing carbonated concrete composites in a way that results in a smaller embodied carbon intensity (eCI). In various embodiments, the concrete composites are made with low-carbon binders (e.g., industrial solid waste). The concrete composites manufactured using the methods described herein have similar material properties to commercially-available concrete composites, but reduce the greenhouse gas (e.g., carbon dioxide) emissions into the atmosphere during the manufacture of that utilizes waste CO2 for the manufacture of the concrete composite itself. An exemplary embodiment of the systems and methods presented herein, as well as related supplemental information, is described in “The role of gas flow distributions on CO2 mineralization within monolithic cemented composites: coupled CFD-factorial design approach.” React. Chem. Eng., 2021, 6, 494-504 (accessible online at https://doi.org/10.1039/D0RE00433B), which is hereby incorporated by reference herein in its entirety.
More particularly, disclosed herein are systems for CO2 mineralization of concrete composites. Additionally, disclosed herein are methods of carbonation curing of concrete composites. In various embodiments, a method of manufacturing a carbonated concrete composite includes providing a concrete precursor to a carbonation curing reactor. The binder of concrete includes at least one of hydrated lime, cement, and/or coal combustion residues (e.g., fly ash) that are combined with aggregates, and water to make concrete mixtures. A gas stream of carbon dioxide gas is received at the carbonation reactor. The gas stream is flowed into the carbonation reactor while heating the carbonation reactor to thereby react the concrete precursor with the gas stream and form the carbonated concrete composite(s). In various embodiments, the resulting carbonated concrete composite has substantially similar engineering properties to a traditional concrete composite made with cement that hardens via hydration.
A carbonated concrete composite, as used herein, refers to a carbonated concrete object (e.g., a building material) made from early-age (e.g., fresh) concrete that is then contacted with a CO2-containing curing gas having a suitable CO2 concentration.
Material performance of a carbonated concrete composite is defined as porosity, compressibility, and/or or other mechanical or strength measurement (e.g., Young's modulus, yield strength, ultimate strength, fracture point, etc.).
Uniform material performance of a carbonated concrete component, as used herein, refers to substantially uniform material properties throughout the concrete component. That is, there are no significant gradients or variations in material performance from one area of the concrete composite to another area of the concrete composite.
A material performance gradient, as used herein, is a spatial difference in porosity and/or compressibility in the carbonated concrete composite. In various embodiments, for uniform material performance, the porosity, measured as a volume percent, and/or the compressibility does not vary by more than ±25% over a concrete volume unit of 1 m3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than +20% over a concrete volume unit of 1 m3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than +15% over a concrete volume unit of 1 m3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than ±10% over a concrete volume unit of 1 m3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than ±10% over a concrete volume unit of 10 cm3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than ±5% over a concrete volume unit of 10 cm3. In various embodiments, for uniform material performance, the porosity and/or compressibility does not vary by more than ±1% over a concrete volume unit of 10 cm3. For example, the compressibility may be measured according to ASTM C140 under uniaxial monotonic displacement-controlled loading using a hydraulic jack with a capacity of 800 kN. In this example, the carbonated concrete composite does not have a material performance gradient if the compressibility does not vary by more than ±10%, preferably +5% over a concrete volume unit of 10 cm3.
Formation of carbonate minerals via CO2 mineralization (“mineral carbonation reactions”) offer a promising alternative to ordinary portland cement (OPC). CO2 mineralization relies upon the reaction of dissolved CO2 with inorganic alkaline reactants to precipitate mineral carbonate (e.g., CaCO3), which binds proximate particles and results in cementation. In various embodiments, a shape-stabilized concrete green body (e.g., composed of a mixture of reactants, water, and mineral aggregates) is exposed to CO2 (e.g., borne from industrial flue gas streams or concentrated CO2). Such CO2 mineralization and utilization may advantageously decarbonize cement production by creating a waste-to-value or carbon-to-value economy (e.g., by valorizing waste CO2 borne in flue gases and alkaline solid wastes such as fly ashes), reducing the costs and liabilities associated with waste management, and promoting the principles of circular economy. In various embodiments, CO2 mineralization allows the production of construction components that feature similar or equivalent engineering attributes to their OPC based counterparts while featuring a much smaller embodied carbon intensity (eCI). In various embodiments, the reduction in eCI of such carbonated concrete products is attributable to: (i) the utilization of CO2 from a waste emissions stream during production and (ii) the avoidance of CO2 emissions by the substitution of OPC with industrial solid wastes (e.g., fly ash) and/or alkaline solids. In various embodiments, portlandite (Ca(OH)2) is used as an alkaline solid because it can be produced at a substantively lower temperature than OPC, while offering a high CO2 uptake capacity for a non-porous inorganic reactant (e.g., about 59 mass %).
In various embodiments, the carbonation kinetics of alkaline solid reactants and concrete composites are affected by the gas processing conditions including: temperature (T), relative humidity (RH), CO2 concentration [CO2], and gas flow rate (Q). In various embodiments, for monoliths, the carbonation kinetics increase with decreasing RH and elevated T; so long as a minimum RH is exceeded. In various embodiments, reducing RH decreases the quantity of water within the pore spaces, which affects the so-called moisture saturation, Sw, thereby easing CO2 transport into and within the microstructure. This is because, in a porous body, the gas diffusivity through the microstructure is inversely proportional to the microstructural resistance factor. In various embodiments, optimal carbonation conditions within batch reactors can be achieved with precise control of the gas processing conditions, flow rates, and flow distributions. In various embodiments, non-uniform gas flow and velocity can detrimentally impact moisture removal and drying and carbonation kinetics by imparting mass transfer resistance, leading to Sw gradients within monolithic components. In various embodiments, such Sw gradients result in non-uniform CO2 uptake across the monolith volume and gradients in material properties (e.g., porosity).
In various embodiments, computational fluid dynamics (CFD) can be used for evaluating fluid flow patterns, and mixing processes to understand gas flow distributions and heat- and mass-transfer to inform the design of carbonation reactors. In various embodiments, gas velocity affects gas solid reactions. In various embodiments, developing reactor designs and process models for systems that promote the carbonation reactions of cementitious composites includes assigning non-uniform boundary conditions at the gas-solid interface and unsteady state (dynamic) processes. In various embodiments, gas flow distribution and processing conditions are varied during a CO2 mineralization reaction for a representative monolith (herein a concrete masonry unit: CMUs, also known as concrete block) that is carbonated. In various embodiments, the reactor is a plug-flow style reactor. In various embodiments, the reactor is a batch reactor. In various embodiments, the reactor is operated at ambient pressure. In various embodiments, CFD simulations are used to link the velocity and spatial distributions of gas flowing across the monolith surfaces within a CO2 mineralization reactor to drying front penetration and CO2 diffusion and their effects on the measured bulk CO2 uptake across monolith volume. In various embodiments, overall mechanical performance of a concrete composite (e.g., a building material) may be adjusted by way of stiffness/strength gradients resulting from the non-uniform carbonate-mineral formation. In various embodiments, these gradients may be analyzed via a finite element method (FEM). In various embodiments, for the optimal gas flow configuration, gas processing conditions (RH, T, and Q) may be adjusted to optimally facilitate gas diffusion within microstructure and enhance bulk CO2 uptake across the monolith's volume. Taken together, optimized CO2 mineralization reactors can be designed and optimal gas processing routes can be identified to enable the scalable production of low-eCI concrete composites using, for example, waste-CO2 borne flue gas streams.
In various embodiments, a mixture of inorganic reactants (e.g., the binder), inert fine aggregates (e.g., sand), and water is mixed into dry-cast formulations suitable for the fabrication of concrete blocks, which is the monolith geometry considered herein. In various embodiments, the reactants used include hydrated lime (e.g., portlandite, Ca(OH)2 powder, ASTM C150-compliant ordinary portland cement (Type I/II OPC), and ASTM C618-compliant fly ash). In various embodiments, the Ca(OH)2 has a purity of 94% 2% (by mass) with the remainder being composed of CaCO3 as determined by thermogravimetric analysis (TGA).
In various embodiments, a concrete composite-making machine is used to fabricate structural load bearing concrete composites (e.g., blocks). In various embodiments, such as when the composite is a block, the width of the composite is about 25 mm to about 1000 mm. In various embodiments, the length of the composite is from about 25 mm to about 1000 mm. In various embodiments, the height of the composite is from about 25 mm to about 500 mm. In various embodiments, the face-shell thickness of the composite is from about 5 mm to about 100 mm. In various embodiments, the web thickness of the composite is from about 5 mm to about 100 mm. For example, the blocks may include dimensions of 200 mm×200 mm×400 mm (w×h×L) with face-shell and web thicknesses of 32 mm and 25 mm, respectively yielding a surface-to-volume ratio of 0.081 mm−1. In various embodiments, the % mass of binder is about 5% to about 50%. In various embodiments, the % mass of water is about 2% to about 20%. In various embodiments, the % mass of aggregates is about 50% to about 90%. In various embodiments, the concrete block mixture is formulated with 10 mass % dry binder, 4.5 mass % water with the remainder consisting of mineral aggregates. In various embodiments, after forming the concrete composites, the fresh concrete composites are pre-cured. For example, the fresh concrete composites are cured at T=21±1° C. for 12 hours to gain green strength (compressive strength σc=1.5±0.5 MPa) and enable handling and loading into the carbonation reactor with minimal (e.g., no) deformation from the intended shape. In various embodiments, after forming the concrete composite (e.g., block), the concrete composite is directly loaded into carbonation chamber to initiate carbonation curing without any pre-curing. Pre-curing, herein, refers to allowing at least some hydration of the cement-fraction of the concrete composite before carbonation curing. In various embodiments, based on the water content and the forming method, the pore water saturation Sw, of the concrete blocks prior to carbonation was on the order of 0.62±0.02 (unitless) determined as per ASTM C140.
In various embodiments, the flow configuration is defined based on dimensions (e.g., length, width, height) of the object being carbonated. As shown in
In various embodiments, for longitudinal and transverse flow configurations shown in
As shown in
To assess the effect of gas flow distribution on carbonation, various gas flow configurations (e.g., longitudinal, transverse, and top flow) were analyzed. Second, to systematically evaluate the interactions between gas processing parameters (T, RH, and Q) for a single flow configuration, a factorial Design-of-Experiments (DoE) approach was implemented (see Table 2 below). The significance of variables and their interactions were determined by the analysis of variance (ANOVA) approach using least-squares fitting. A non-linear regression analysis was used to derive statistical prediction models and develop response surfaces. The results of statistical models were then integrated into a multivariable optimization algorithm to determine the optimal parameters that satisfy the performance targets. Here, for defined targets, the desirability functions di are obtained and simultaneously optimized to determine their best combination as quantified by the overall desirability D function:
D=(d1r
where n is the number of individual responses in the optimization, and ri refers to the relative importance of each property, which varies from 1 to 5, reflecting the smallest to the highest degree of importance, respectively. And, di ranges between 0 (i.e., least desired response) and 1 (i.e., most desired response). Hereafter, the concrete blocks were dried by exposure to flowing air to achieve different initial Sw, prior to the carbonation process. The temperature, relative humidity, and flow rate during the drying step were equivalent to those applied during carbonation, with the exception of using an air stream (i.e., [CO2]=0.04%) during drying rather than simulated flue gas ([CO2]=12.5%) that was used during carbonation.
In various embodiments, the concrete block is sampled across different sections including: each side (long dimension), each face (short dimension), and the web (e.g., the interior wall between the two hollows) to assess the variations in CO2 uptake across different sections. For sampling, a rotary hammer with a 6 mm drill-bit may be used to extract powders through the entirety of the section's thickness. The total CO2 uptake (CO2, total) within a block was estimated as a mass average of each section's CO2 uptake as:
CO
2,total=Σi=1n=kC(24 h)i(gCO
where C(24 h) is the 24-h CO2 uptake of the ith section (i.e., side, face, or web) and m; refers to the mass fraction of a section in relation to the entire block mass. Thermogravimetric analysis was used to assess the extent of CO2 uptake following ASTM C1872. Around 50 mg of powder was heated from 35° C. to 975° C. at a rate of 15° C./min in aluminum oxide crucibles under ultra-high purity N2 gas purge at a flow rate of 20 mL/min. The carbonate content was quantified by assessing the mass loss associated with CaCO3 decomposition over the temperature range of 550° C. to 950° C., normalized by the initial mass of reactants (gCO2/greactants; reactants: portlandite, fly ash, and OPC) within the solid. In various embodiments, CO2 uptake accounted for the initial quantity of carbonates that were present in the precursor materials prior to the carbonation process. In addition to carbonate content, the non-evaporable water content (wn, mass %) was calculated as the mass loss over the temperature range of 105° C. to 975° C., excluding the mass loss from the decomposition of CaCO3 and Ca(OH)2 to estimate the extent of cement (OPC) hydration.
The net area compressive strengths of the concrete blocks were measured in accordance with ASTM C140 under uniaxial monotonic displacement-controlled loading using a hydraulic jack with a capacity of 800 kN. The bearing plates used for compression testing were large enough to cover the contact surfaces of the block entirely to distribute the load evenly, and rigid enough (100 mm thick) to eliminate plate bending that can cause non-uniform stresses. To characterize the variations of carbonate mineral formation, the porosity and compressive strength of the different block's sections (i.e., sides, web, and faces) were determined. Representative samples (50 mm×50 mm×25 mm; l×w×t) were cut from the middle of each section of the concrete block using a low-speed saw. The total porosity and pore saturation level of samples were quantified using a vacuum saturation method and the compressive strengths of the samples were measured as per ASTM C39. In various embodiments, to assess the effects of gas processing conditions on the transport properties (diffusion), the total moisture diffusion coefficient (i.e., the sum of liquid water and water vapor diffusion coefficients) was estimated using Fick's 2nd law. Herein, the sides of the sectioned samples (50 mm×50 mm×25 mm; l×w×t) were double-sealed using adhesive-backed aluminum tape to ensure 1D gas transport (exposed surfaces: 50 mm×50 mm; l×w).
In various embodiments, CFD simulations are used to assess the effects of gas flow configurations on the spatial distribution and velocity of contacting gas across the concrete block's surfaces within the carbonation reactor. In various embodiments, the gas flow analysis was carried out using the k−ω turbulence model, which is suitable for gas velocity analysis near solid wall regions. The Reynolds number Re based on inlet diameter dinlet and inlet velocity Vinlet was calculated to be greater than 2,300 suggesting turbulent flow. In the k−ω model, the turbulent kinetic energy k and specific turbulent dissipation rate ω describe the turbulence of gas flow.
where n is the number of cells (5 mm×5 mm) on the block surface and Vx corresponds to the velocity magnitude in each cell. To rationalize the data, in all cases, the average contacting gas velocity Vave,i, was normalized by the gas inlet velocity Vinlet. The degree of non-uniformity (i.e., variation) of the contacting gas velocity across the block surfaces was then quantified as:
In various embodiments, FEM analysis of the linear elastic behavior of the concrete block may be performed to assess the effect of stiffness variations resulting from CO2 uptake across the different block's sections on the overall mechanical response of the concrete block. The measured strength data of the block's sections was used to estimate material stiffness as an input in the FEM analysis as follows:
E
c,i
=kσ
c,i (Eq. 5)
where Ec,i, (MPa) and ac (MPa) are Young's modulus and compressive strength, respectively, of the ith section of the concrete block and k is the coefficient relating elastic modulus to the compressive strength that was taken as 900 herein. For dry-cast composites such as concrete blocks on account of their high aggregate contents, the elastic modulus is dictated by the stiffness of aggregate inclusions and degree of compaction. As such, no distinction in elastic modulus is expected between traditional cement-based and carbonated concrete blocks. The estimated Young's moduli of the sections were input in the FEM analysis to simulate the concrete block analyzed in
To mimic compressive loading and minimize local stress concentrations, steel bearing plates were modeled as well. As the boundary conditions, the displacements of the bottom plate were taken as zero in all directions (x, y, and z) and compressive stress was applied to the top surface by systematically increasing the applied stress from 0 to 15 MPa in 1.5 MPa increments. Perfect contact between the bearing steel plates and the surfaces of the concrete block was prescribed.
C(t)=C(tu)(1−exp[(−kcarbt)/C(tu)]) (Eq. 6)
where kcarb is the apparent carbonation rate constant and C(tu) is the ultimate CO2 uptake that was taken as the 24-h CO2 uptake. Similar to CO2 uptake, the carbonation rate constant for the different sections indicated a strong dependency on gas flow configuration. For instance, kcarb, for block's section facing the gas outlet was 4× lower than that of the inlet for the longitudinal direction, while near equivalent carbonation kinetics for both sections were observed for the top flow configuration.
In various embodiments, the suppression of carbonation kinetics across some of the block sections is on account of higher water content in the block's pores (i.e., higher Sw) that was imposed by insufficient drying within sections whose surfaces are starved of gas flow. In various embodiments, the presence of water within the pores of microstructure inhibits carbonation by imparting CO2 mass transfer resistance. In various embodiments, to assess the drying kinetics as a function of different gas flow configurations, the moisture ratio (MR) evolution is evaluated. To exclude the competing effects of carbonation and moisture transport, the concrete block was exposed to flowing air that was conditioned similarly (T, RH, and Q) to the carbonation experiments. The drying rate constant kdry was estimated as
MR(t)=exp[−kdrytn] (Eq. 7)
where n is the fitting exponent and MR(t) is the dimensionless moisture ratio at time t, which is given as
MR(t)=(ωt−ωe)/(ω0−ωe) (Eq. 8)
where ωt, ωe, and ωo are moisture content at time t, the equilibrium moisture content, and initial moisture content, respectively. Generally, the drying rate dMR(t)/dt decreases with time due to the transition from connected-liquid bridge drying to vapor diffusion as the drying front progressively penetrates deeper into the body. In agreement with the results of carbonation kinetics, the top flow configuration resulted in more uniform drying kinetics between inlet and outlet sections than that of the longitudinal flow, as shown in
In various embodiments, variations in drying kinetics across the different sections of the block are due to the spatial variations of the contacting gas velocity. In various embodiments, CFD analysis revealed that the top flow configuration resulted in the most-spatially uniform and the highest average velocity across block's surfaces, as shown in
In various embodiments, the carbonation rate is at least 0.005. In various embodiments, the carbonation rate is at least 0.0075. In various embodiments, the carbonation rate is at least 0.01. In various embodiments, the carbonation rate is at least 0.025. In various embodiments, the carbonation rate is at least 0.05. In various embodiments, the carbonation rate is at least 0.075. In various embodiments, the carbonation rate is at least 0.1. In various embodiments, the carbonation rate is at least 0.15. In various embodiments, the carbonation rate is at least 0.2. In various embodiments, the carbonation rate is at least 0.25. In various embodiments, the carbonation rate is at least 0.3. In various embodiments, the carbonation rate is at least 0.35. In various embodiments, the carbonation rate is at least 0.4. In various embodiments, the carbonation rate is at least 0.45. In various embodiments, the carbonation rate is at least 0.5. In various embodiments, the carbonation rate is at least 0.55. In various embodiments, the carbonation rate is at least 0.60. In various embodiments, the carbonation rate is at least 0.65. In various embodiments, the carbonation rate is at least 0.7. In various embodiments, the carbonation rate is at least 0.75. In various embodiments, the carbonation rate is at least 0.8. In various embodiments, the carbonation rate is at least 0.85. In various embodiments, the carbonation rate is at least 0.9. In various embodiments, the carbonation rate is at least 0.95.
In various embodiments, the carbonation rate is from about 0.005 to about 1. In various embodiments, the carbonation rate is from 0.01 to about 1. In various embodiments, the carbonation rate is from 0.05 to about 1. In various embodiments, the carbonation rate is from 0.1 to about 1. In various embodiments, the carbonation rate is from 0.15 to about 1. In various embodiments, the carbonation rate is from 0.2 to about 1. In various embodiments, the carbonation rate is from 0.25 to about 1. In various embodiments, the carbonation rate is from 0.3 to about 1. In various embodiments, the carbonation rate is from 0.35 to about 1. In various embodiments, the carbonation rate is from 0.4 to about 1. In various embodiments, the carbonation rate is from 0.45 to about 1. In various embodiments, the carbonation rate is from 0.5 to about 1. In various embodiments, the carbonation rate is from 0.55 to about 1. In various embodiments, the carbonation rate is from 0.6 to about 1. In various embodiments, the carbonation rate is from 0.65 to about 1. In various embodiments, the carbonation rate is from 0.7 to about 1. In various embodiments, the carbonation rate is from 0.75 to about 1. In various embodiments, the carbonation rate is from 0.8 to about 1. In various embodiments, the carbonation rate is from 0.85 to about 1. In various embodiments, the carbonation rate is from 0.9 to about 1. In various embodiments, the carbonation rate is from 0.95 to about 1.
S
w,i drying=0.62890−0.00397×T+0.00198×RH−0.07348×Qi+0.00111(RH×Qi) (Eq. 9)
C(24 h)i=−0.00592+0.00127×T−0.00022×RH+0.04373×Qi−0.00064(RH×Qi) (Eq. 10)
The significant parameters and interactions were found to be identical between both responses, although having opposite signs, demonstrating the significance of Sw, as a dominant variable that affects the carbonation of concrete composites. Hereafter, to predict the CO2 uptake of the different block's sections, the variations in the contacting gas velocity as a function of gas inlet flow rate were determined using CFD analysis. Increasing the flow rate at the gas inlet enhanced the contacting gas velocity and improved the velocity uniformity across different block surfaces, shown in
V
ave,i
/V
inlet
=aQ
i
b (Eq. 11)
where a and b are fitting parameters that depend on the concrete block section, shown in
Knowledge of the normalized contacting gas velocity and the corresponding gas flow rate Q; (using Eq. 11) allows prediction of the average CO2 uptake for a given concrete block's section using Eq. 10 for this specific reactor configuration.
In various embodiments, for pore water saturation, the 24-h CO2 uptake of the block sections scales with Sw,drying (shown in
C(24 h)i=−0.46×Sw,i+0.30 for Sw>0.11 (Eq. 12)
In various embodiments, Sw,c≈0.10 may sustain the dissolution-carbonation reaction of portlandite. To capture this breakpoint, a separate dataset (outside the design space) was collected under aggressive drying at T=80° C. and RH=20% that revealed that CO2 uptake was substantially suppressed when Sw dropped below 0.11. In various embodiments, Eqs. 9, 10, and 12 are valid for Sw>Sw,c≈0.10. In various embodiments, CO2 mineralization mechanism via portlandite carbonation within concrete monoliths occurs via a dissolution-precipitation pathways including: (i) release of Ca2+ species into the pore liquid due to dissolution of alkaline reactants, (ii) transport and dissolution of CO2 though and within the monolith's pore network, and/or (iii) precipitation of carbonate minerals via combination of dissolved species (Ca2+, CO32−, and HCO3−). In various embodiments, when Sw,c is exceeded, Ca2+ species liberated following the dissolution of portlandite react with dissolved CO2 species (i.e., CO32− and HCO3−) to precipitate calcium carbonate.
In various embodiments, CO2 uptake is limited when gas RH was similar to the initial Sw=0.62 of the concrete block (see the shaded region in
In various embodiments, the strengthening of concrete composites during CO2 exposure is affected by cement hydration, pozzolanic, and carbonation reactions. As the extent of CO2 uptake determines carbonate cementation, variations in CO2 uptake can induce non-uniformity in carbonation strengthening, which can impact the overall mechanical response of carbonate-cemented components. In various embodiments, the porosity of carbonated samples that were extracted from different sections of the concrete block demonstrated a sigmoidal/tri-linear refinement with CO2 uptake, as shown in
enhanced exponentially with an exponent of 8.72 per unit mass of CO2 uptake, confirming that strengthening offered by carbonation is advantageously increases strength of the structural component. Additionally, the extrapolation of the curve to determine the y-intercept (see solid line in
Because of lower CO2 uptake, the smallest compressive strength was observed for the web sections of carbonated concrete block. The variations in material strength and elastic properties across the concrete block sections can result in non-uniform stress and displacement distributions under loading. This is confirmed by FEM simulations of the stress-displacement response of concrete blocks, as shown in
The CFD modeling carried out herein allows analysis of the spatial distribution and velocity of contacting gas to inform the optimal: (a) design of gas flow distribution systems and (b) geometrical arrangement of concrete composites within a CO2 mineralization reactor's volume so as to maximize and ensure the uniformity of CO2 uptake of concrete composites. In various embodiments, variations in the contacting gas velocity affect drying, drying gradients, and consequently CO2 uptake gradients within a monolith's volume. In various embodiments, other geometries of concrete composites may be formed which feature varying thicknesses and surface-to-volume ratios, i.e., to expand the palette of products that can be produced via CO2 mineralization processes. In addition, the CFD simulations carried out herein form the basis for the development of a fully coupled heat-mass-chemical reaction-transport model that is may comprehensively relate aspects of binder composition, gas processing conditions (e.g., T, RH, [CO2], and Q), reactor geometry, composite geometry, and CO2 (mineralization) uptake to each other so as to maximize direct CO2 utilization using industrial flue gas emission streams, in a time-, cost- and energy-efficient manner.
In various embodiments, gas flow distributions within the batch reactor affect CO2 uptake and the resulting carbonate cementation of monolithic concrete composites (i.e., herein concrete masonry units: CMUs, also known as the concrete block). In various embodiments, drying kinetics and liquid water distributions resulting from varying gas flow distributions impact the rate and extent of carbonation. In various embodiments, the dependence of carbonation kinetics on the contacting gas velocity is attributed to the variation in drying kinetics and the penetration rate of drying front (i.e., Sw gradients) which affect the microstructural resistance to gas diffusion. Such Sw gradients result in non-uniform CO2 uptake across the monolith volume, which imposes gradients in material properties (e.g., porosity and stiffness), and thereby impacts the overall mechanical response of carbonate-cemented concrete composites. In various embodiments, CFD and/or FEM simulations are used to assess the effects of the spatial distribution of contacting gas velocity across a concrete block surfaces on variations in CO2 uptake within concrete block's sections and resultant material properties (stiffness and strength). In various embodiments, the effects of gas processing conditions (RH, T, and Q) on CO2 mineralization reactions of the concrete block can be adjusted for determining the optimal gas flow configuration (e.g., selection of gas processing routes to enhance and to ensure uniformity of CO2 uptake and material properties evolution within concrete composites). The outcomes are of relevance to design optimal carbonation systems, and to manufacture low-CO2 concrete composites that utilize waste CO2 borne in flue gas streams and fulfill relevant construction standards, without a need for a carbon capture step, and at ambient pressure.
The bulk oxide composition of the fly ash and ordinary portland cement (OPC) is presented in Table 1. The median particle size diameters (d50) of the portlandite, fly ash, and OPC were determined as 3.8 μm, 8.9 μm, and 17.2 μm, respectively, using static light scattering. Densities were measured as 2340 kg/m3, 2440 kg/m3, and 3140 kg/m3, respectively, using helium pycnometry.
Table 2 includes data from a factorial Design-of-Experiments (DoE) used to assess the effects of gas processing parameters (i.e., T, RH, and Q) on the carbonation of concrete blocks. Factorial DoE consists of three different parts: (i) factorial part (2n, n: number of design variables), (ii) central part, and (iii) validation part within the design space. The significance of variables and their interactions are determined by an analysis of variance (ANOVA) using the least-squares fitting. In this assessment, the probability (P-values) less than 0.05 was considered as a level of significance. For this series of experiments, the concrete blocks were first dried under exposure to flowing air to achieve different initial Sw prior to the carbonation process.
Table 3 includes data from the ANOVA results and derived statistical prediction models for pore water saturation Sw and CO2 uptake.
This application claims the benefit of U.S. Provisional Application No. 63/136,618, filed on Jan. 12, 2021, which is hereby incorporated by reference in its entirety.
This invention was made with government support under Grant Numbers DE-FE0029825, DE-FE0031718, and DE-FE0031915, awarded by the U.S. Department of Energy and Grant Number 1922167, awarded by the National Science Foundation. The government has certain rights in the invention.
Number | Date | Country | |
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63136618 | Jan 2021 | US |