Submitted:
06 May 2024
Posted:
08 May 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
- Improvement of fossil fuel-based energy efficiency;
- Enhancement of nuclear and renewable energy as well as increasing use of biofuel-based energy;
- Development of environmental engineering works such as afforestation and reforestation.
- CCUS can be easily integrated into existing energy and utility systems, without invasive or complex retrofits;
- CCUS can be implemented for the production of low-carbon hydrogen (blue hydrogen): currently, around 76% of hydrogen (corresponding to 75 Mt y–1) is produced worldwide from natural gas, generating overall CO2 emissions exceeding 800 Mt y–1 [8]; green hydrogen produced by electrolysis is still expensive having a cost of 2.3–6.9 $ tH2–1 versus 1.4–2.4 $ tH2–1 from steam methane reforming (SMR) coupled with CCS [8,9];
- The technology features extremely high selectivity, and thus minimizes the competitive capture of other components in the flue gases;
- The separation process is driven by temperature differences and does not rely on solvents, adsorbents or membranes;
- The CO2 product is generally extracted in the liquid phase, so as to avoid the downstream compression work;
- Scalability potential and wide ranges of applications have been demonstrated. In addition, CCC can be integrated into existing industrial processes with minimal retrofit requirements;
- CCC is characterized by low water consumption and offers a large heat integration potential. This, in turn, minimizes the disposal of wastes and enhances safety and environmental aspects.
2. Fundamentals of Cryogenic Desublimation
3. Processes Based on Cryogenic Desublimation
3.1. Dynamic Packed Bed
3.2. External Cooling Loop
3.3. Stirling Cooler
3.4. Antisublimation (AnSU)
3.5. Novel Low-Cost CO2 Capture Technology (NLCCT)
3.6. Comparison of Cryogenic Desublimation Processes
4. Conclusions and Future Directions
- The operating conditions of CCC, including temperature ranges, pressure levels, and heat integration potential need to be further optimized. Understanding the influence of these process variables on the separation efficiency as well as the energy consumption is pivotal for scale-up and commercialization purposes.
- Assessing the economic viability of CCC and identifying strategies to reduce costs are critical knowledge gaps. Research should focus on the development of cost-effective materials and innovative engineering solutions at cryogenic conditions to enhance the overall economic feasibility. This should include insulation materials, equipment materials, and additional materials for constructing heat exchangers.
- Understanding how CCC can be effectively integrated into various industrial processes is another key research aspect. This encompasses the retrofit of CCC with various industries, identifying potential synergies and addressing engineering challenges.
- Investigating the safety aspects and potential risks associated with CCC is paramount. Research needs to be carried out on the behavior of cryogenic fluids, their associated hazards and the development of robust safety protocols to ensure the protection of personnel and the environment.
- A comprehensive assessment of the environmental impact of CCC is necessary. This should involve evaluating the overall carbon footprint of the technology, including indirect emissions associated with equipment production, transportation, and other life cycle stages.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Nomenclature
| Acronyms | ||
| AnSU | Antisublimation | |
| BECCS | Bioenergy with carbon capture and storage | |
| CCC | Cryogenic carbon capture | |
| CCS | Carbon capture and storage | |
| CCU | Carbon capture and utilization | |
| CCUS | Carbon capture, utilization and storage | |
| COP | Coefficient of performance | |
| DAC | Direct air capture | |
| EoS | Equation of state | |
| NLCCT | Novel low-cost CO2 capture technology | |
| PSA | Pressure swing adsorption | |
| RIC | Refrigeration integrated cascade | |
| SMR | Steam methane reforming | |
| SVE | Solid-vapor equilibrium | |
| SLVE | Solid-liquid-vapor equilibrium | |
| TRL | Technology readiness level | |
| TSA | Temperature swing adsorption | |
| Symbols | Unit | Description |
| Pa m6 mol–2 | Energy parameter in cubic EoS | |
| m3 mol–1 | Covolume in cubic EoS | |
| W m−2 K−1 | Heat transfer coefficient of the gas phase | |
| W m−2 K−1 | Heat transfer coefficient of the liquid phase | |
| kg m–2 s−1 | Mass transfer coefficient of the gas phase | |
| mol | Moles of CO2 in the feed | |
| mol | Moles of CO2 in the product 1 | |
| mol | Moles of CO2 in the product 2 | |
| mol | Moles of inert in the feed | |
| mol | Moles of inert in the product 1 | |
| mol | Moles of inert in the product 2 | |
| Pa | Total pressure | |
| Pa | Sublimation vapor pressure of CO2 | |
| Pa | Initial pressure of compression | |
| Pa | Final pressure of compression | |
| W | Thermal duty of condensation | |
| kJ kg-1 | Specific thermal duty of separation | |
| W m−2 | Sensible heat flux of the gas phase | |
| W m−2 | Latent heat flux of the gas phase | |
| W m−2 | Sensible heat flux of the liquid phase | |
| J mol−1 K−1 | Ideal gas constant | |
| m2 | Interface surface | |
| K | Temperature | |
| K | Ambient temperature | |
| K | Temperature of liquefaction | |
| K | Temperature of the gas phase | |
| K | Temperature of the interphase | |
| K | Temperature of the liquid phase | |
| K | Temperature of the hot source used for separation | |
| m3 mol–1 | Molar volume in cubic EoS | |
| m3 mol–1 | Molar volume of solid CO2 | |
| kJ kgCO2–1 | Minimum work rate of compression | |
| kJ kgCO2–1 | Actual work of compression | |
| kJ kgCO2–1 | Minimum work of liquefaction | |
| kJ kgCO2–1 | Actual work of liquefaction | |
| kJ kgCO2–1 | Minimum work of separation | |
| kJ kgCO2–1 | Actual work of separation | |
| – | Mole fraction of CO2 in the vapor phase | |
| – | Mole fraction of CO2 in the interface | |
| – | Mole fraction of CO2 in the feed | |
| – | Mole fraction of CO2 in the product 1 | |
| – | Mole fraction of CO2 in the product 2 | |
| – | Mole fraction of inert in the feed | |
| – | Mole fraction of inert in the product 1 | |
| – | Mole fraction of inert in the product 2 | |
| m | Axial dimension | |
| Greek letters | ||
| – | II law efficiency | |
| J kg–1 | Heat of liquefaction of CO2 | |
| – | Fugacity coefficient of CO2 at the saturated solid pressure | |
| – | Fugacity coefficient of CO2 in the vapor phase | |
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| Reference | Main content and findings |
|---|---|
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| De Guido et al. [35], Pellegrini et al. [38] |
They implemented SRK and PR EoS to calculate solid CO2 solubilities and proposed a mathematical algorithm developed for the calculation of Solid Vapor Equilibrium stages and compared their results to Aspen RGibbs reactor. |
| Yu et al. [46] | Numerical analysis of a 1-dimensional desublimating heat exchanger. They calculated the rate of desublimation and thickness of solid formation on the walls as a function of time and location. Both the inert gas (in the gaseous mixture with CO2) and the cryogenic liquid are nitrogen. They analysed the effect of fluid mass flow rates and temperatures; they neglected the thermal resistance of the solid CO2 layer and pressure drops. |
| Berger et al. [47] | They proposed a conceptual framework to address the work of separation through cryogenic desublimation; they defined the methodologies for energy balances and energy penalties calculation and proposed the comparison to the minimum work of separation. |
| Cann [48] | The frost front velocity experiments in a fixed packed bed allowed the design of a moving packed bed (setting the bed flowrate to match the frost front velocity) to prevent the excessive accumulation of CO2 frost. He reported heat transfer coefficients, pressure drops and other fundamental correlations to describe experimental data of desublimation in a moving bed. |
| James [49] | He proposed model predicted the behaviour of a falling sphere heat exchanger in a desublimating columns for CO2 capture. Desublimation and condensation of molecules in flue gas streams occurring in a countercurrent falling sphere heat exchanger has been modelled and partially validated with experiments. The model is interesting for spray-chambers but is limited by the fact that the majority of the properties used to calculate heat transfer are at film temperature. |
| Sun et al. [50], Wu et al. [51], Wu and Webb [52] |
Frost formation and frost release on surfaces, frost growth and densification, frost release: modelling experimental results. |
| Lei et al. [53] | CO2 desublimation on a cooled cylinder surface by means of lattice Boltzmann model with 2D simulations, various behaviours in response to different operation conditions. |
| Cryogenic process | Advantages | Challenges |
|---|---|---|
| Dynamic packed bed |
|
|
| External cooling loop |
|
|
| Stirling cooler |
|
|
| AnSU |
|
|
| NLCCT |
|
|
| Cryogenic process | Feed CO2 concentration (mol%) | Cold energy source | CO2 recovery (%) |
Minimum specific energy consumption (MJe kgCO2–1) | Type of study | Reference |
|---|---|---|---|---|---|---|
| Dynamic packed bed | 10 | LNG | 99 | 3.60 | Experimental & Modelling | Tuinier et al. [56] |
| External cooling loop | 16 | Multiple refrigerants |
90 | 0.74 | Experimental & Modelling | Jensen et al. [30] |
| Stirling cooler | 13 | Stirling cooler | 95 | 0.55 | Experimental & Modelling | Song et al. [71] |
| AnSU | 12 | LNG | 90 | 1.18 | Experimental | Pan et al. [54] |
| NLCCT | 6.7 | Cold N2 gas | 99 | 0.63 | Modelling | De et al. [80] |
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