Performance of steel slag in carbonation–calcination looping for CO2 capture from industrial flue gas

Si-cong Tiana, Jian-guo Jiang*abc, Kai-min Lia, Feng Yana and Xue-jing Chena
aSchool of Environment, Tsinghua University, Beijing 100084, P. R. China. E-mail: jianguoj@mail.tsinghua.edu.cn; Fax: +86-10-62783548; Tel: +86-10-62783548
bKey Laboratory for Solid Waste Management and Environment Safety, Ministry of Education of China, P. R. China
cCollaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing, P. R. China

Received 9th December 2013 , Accepted 2nd January 2014

First published on 6th January 2014


Abstract

We investigate the performance of steel slag during the carbonation–calcination looping as a potential CO2 adsorbent. The existence of portlandite in the steel slag provided a maximum theoretical CO2 capture capacity of 112.7 mgCO2 gslag−1, and the maximum carbonation conversion of 39.8% was achieved in simulated flue gases with only 5 min duration of carbonation. Sintering of the steel slag particles during both the carbonation and calcination processes, especially the destruction of the 3 nm pores, is the main cause for the deactivation of steel slag. Carbonation–calcination looping of steel slag can significantly improve its total CO2 capture capacity compared to the conventional technical route of direct carbonation sequestration, thus providing an alternative and more feasible option for the use of alkaline industrial wastes to capture CO2 from industrial sources, such as the iron and steel production facilities.


Anthropogenic CO2 emissions are generally acknowledged to be the most important driving force of global climate change, and contribute about two-thirds of the enhanced greenhouse effect.1 At present, about 32 billion tons of CO2 are emitted into the atmosphere annually,2 and almost 40% of worldwide CO2 emissions are directly attributable to industrial activities,3 such as iron and steel production, cement production, production of chemicals and petrochemicals, and the power generation sector due to electricity use in these industries.4 Reducing CO2 emissions from these industrial sources is an essential part of the global response to prevent dangerous climate change. As the first generation and also a classical post-combustion capture technology for CO2, amine scrubbing has been widely investigated and recently demonstrated on a pilot-scale.5,6 However, the problems of serious amine loss and the considerable energy consumption during the regeneration of absorbents, the weak vapor resistance in flue gas, and equipment corrosion, have significantly restricted the further development and application of this technology.7,8 Therefore, the use of solid-state adsorptive materials, such as a CaO-based adsorbent,9,10 zeolite,11,12 metal organic frameworks (MOF),13–15 and porous silica-supported amine hybrids,16–18 became the focus of the development of the second-generation carbon capture and storage (CCS) technologies, due to their superior heat and mass transfer,19 easier combination with existing industrialized facilities,20 and higher efficiency of energy utilization.21 CaO-based adsorbents are one of the most promising of these solid adsorbents,22 when considering the cost of adsorbent synthesis, the resistance of impurities in flue gas, and the temperature experienced under actual application conditions (the temperature of flue gas is generally higher than 373 K).

The mineral carbonation sequestration of CO2, which is also based on the carbonation reaction between CO2 and certain alkaline calcium- or magnesium-rich minerals,23 is another promising technique.24 Natural minerals, such as wollastonite, serpentine and olivine, were initially considered as potential CO2 sequestration materials, due to their huge potential capacity to sequester all of the CO2 that might be emitted from the combustion of all the coal present on Earth.25 However, the problems of the slow CO2 sequestration rate, severe reaction conditions, and mineral mining or flue gas transportation, make the CO2 capture cost of this route uneconomic.26,27 Therefore, alkaline calcium-based industrial solid wastes, especially steel slag, have received more attention as alternative CO2 sequestration materials,28–30 because they have the advantages of being readily available within the same industrial processes where CO2 is produced and have a better reaction activity with CO2.31 Their use could reduce the cost for CO2 sequestration by almost 30% compared to the use of natural minerals.32 However, the total CO2 sequestration capacity of alkaline calcium-based industrial wastes is very limited, with the amount of steel slag produced globally permitting theoretically 44–59 Mt CO2 per year. Due to the amount of available industrial wastes being much lower than the amount of available natural minerals, and being far below the global demand for CO2 capture from industrial sources, the development of this technology is restricted.

Therefore, to improve the total CO2 capture capacity of industrial wastes such as steel slag, we investigated the performance of steel slag as a potential CO2 adsorbent during carbonation–calcination looping. The characteristics of the reaction kinetics and the deactivation mechanism for CaO-based adsorbents during the carbonation–calcination looping process were also analyzed.

The weight range curves in Fig. 1 clearly show the influence of temperature and CO2 concentrations on the carbonation–decarbonation of steel slag. The steel slag sample almost had no capture effect on CO2 in all reaction gases below 300 °C, but then begun to capture CO2 with the sequestration rate accelerating gradually as the CO2 concentration in the reaction atmosphere increased from 5% to 100%. The CO2 sequestration rate remained at a high level as the temperature was continuously increased to 600 °C. When the heating continued, the steel slag abruptly decarbonated, and the maximum decarbonation rate was achieved at higher temperatures for gases with the higher CO2 concentrations in the reaction atmosphere. The range of temperatures for the maximum decarbonation rate could be as large as 150 °C from 700 °C in a 5% CO2 atmosphere to 850 °C in a 100% CO2 atmosphere. This indicates that a temperature higher than 800 °C is required for steel slag to achieve the acceptable level of desorption for pure CO2 to be further compressed and transported for permanent storage, since a purge gas with a higher CO2 concentration is needed for the desorption process.


image file: c3ra47426g-f1.tif
Fig. 1 Net CO2 sequestration curve of steel slag at a heating rate of 20 °C min−1 in different CO2 concentrations.

Fig. 2 shows that although the steel slag achieved the same uptake of CO2 from different reaction gases (see Table S1 in ESI) during the first carbonation–calcination looping, the CO2 capture capacity of steel slag in a pure CO2 atmosphere was clearly higher than in a 5–15% CO2 atmosphere (i.e., the typical CO2 concentrations in actual flue gas) during all the other cycles, and the cyclic capture of CO2 by steel slag was equally efficient at CO2 concentrations of 5–15%. This indicates that although CO2 concentrations can influence the uptake of CO2 by steel slag, there is almost no variation over the range of typical flue gas CO2 concentrations.


image file: c3ra47426g-f2.tif
Fig. 2 CO2 capture capacity of steel slag through 20 cycles in various CO2 concentrations. The operating conditions were carbonation for 5 min at 600 °C and calcination for 5 min at 800 °C.

XRD patterns of the raw steel slag revealed the presence of Ca(OH)2 in the sample, giving the steel slag a maximum theoretical CO2 capture potential of 112.7 mgCO2 gslag−1 (see Fig. S1 and Table S3 in ESI). This value is not very high because almost 63.86% of the total calcium content in the slag sample determined from an XRF analysis (see Table S2 in ESI) existed in other phases than Ca(OH)2, and was not available for the capture of CO2. The maximum practical uptake of CO2 by the steel slag used in this experiment all occurred in the first cycle, and was 43.5 mgCO2 gslag−1 in a 100% CO2 atmosphere and 44.9 mgCO2 gslag−1 in a 10% CO2 atmosphere. The uptake of CO2 then decreased gradually as the looping continued. The CO2 capture capacity of steel slag decayed sharply during the first five cycles, but maintained almost half of the initial level of CO2 capture after 10 cycles. The steel slag sample then had a much better durability (cyclic stability) for CO2 capture until the 20th cycle, with the variation of CO2 capture capacity ranging by only about 20%. The uptake of CO2 by steel slag from simulated flue gases (5–15% CO2) decreased to 13.6–14.2 mgCO2 gslag−1 at the end of 20 cycles, which was ∼30–35% of its initial capacity. However, the total CO2 capture capacity of the steel slag was improved by at least fivefold compared to the conventional technical route of direct carbonation sequestration, even if only 10 carbonation–calcination looping cycles were considered.

The CO2 capture profiles of steel slag in the first, 5th, 10th, 15th, and 20th cycles (in Fig. 3) showed that in any individual looping cycle, the capture of CO2 by steel slag occurred via a two-stage mechanism: a short but rapid stage, which was controlled by carbonation kinetics, followed by a long but slow stage, which was controlled by product layer diffusion. The carbonation rate of steel slag during the CO2 adsorption process gradually reduced after multiple looping cycles in all reaction gases, and matched the decarbonation rate during the CO2 desorption process. The carbonation of steel slag was still in the diffusion-controlled stage at the end of the CO2 adsorption process, which was of 5 min duration, and the decarbonation rate was clearly faster than the carbonation rate in each looping cycle, with the adsorbed CO2 abruptly released in a few tens of seconds. The carbonation conversion of the steel slag used in this study ranged between 37.3% and 39.8% in the different simulated flue gases at the end of the initial looping cycle, which was slightly lower than that of the steel slag in other studies33 and some other alkaline industrial wastes,34 which were used for the conventional carbonation sequestration of CO2. This was a consequence of the much shorter reaction time (only 5 min duration for carbonation in this study) compared to direct carbonation sequestration. The carbonation conversion of the steel slag declined to about 16.1% after the 10th cycle, and finally 12.2% after the 20th cycle in the simulated flue gases.


image file: c3ra47426g-f3.tif
Fig. 3 Carbonation–decarbonation rates and the conversion of steel slag in simulated flue gases containing (a) 5% CO2, (b) 10% CO2, (c) 15% CO2, and (d) 100% CO2.

Surface and pore properties of the steel slag sample after multiple carbonation–calcination cycles in pure CO2 are shown in Fig. 4. The Brunauer–Emmett–Teller (BET) surface area (see Fig. S3(a) in ESI) gradually decreased with the cyclic calcination in both air and a pure CO2 atmosphere, and the steel slag that was calcined in a pure CO2 atmosphere clearly had a lower BET surface area compared to the steel slag in air. This indicates that both the carbonation and calcination processes could cause a decay in the surface area of steel slag, which is typical for CaO-based CO2 adsorbents. Furthermore, the carbonation process appeared to have a greater influence on the decay of the surface area than the calcination process. The micro-pore area of the steel slag (see Fig. S3(b) in ESI) was not significantly influenced by the cyclic calcination in air after the 5th cycle, but decreased gradually in the presence of CO2. This indicates that CO2 could not only arrive at the meso-pores which largely existed in the steel slag sample, but also further diffuse into the micro-pores to react with the available Ca (CaO) in the steel slag particles. The formation of a bimodal pore-size distribution of the steel slag was observed after multiple carbonation–calcination cycles in Fig. 4(a), indicating that the smaller pores of ∼3 nm and the larger pores of ∼50 nm contributing most to the pore volume of the steel slag. Although pore volumes at both pore sizes had a significant decrease with the looping cycles, the 3 nm pores clearly had a stronger correlation with the CO2 capture capacity of the steel slag than the 50 nm pores. This was probably because that the 3 nm pores could exactly provide the maximum surface area among all pore sizes of the steel slag (Fig. 4(b)), leaving relatively sufficient CaO active sites for the capture of CO2. Therefore, sintering of the steel slag particles during both the carbonation and calcination processes, especially the destruction of the 3 nm pores, is the main cause for the decay of the CO2 capture capacity of steel slag after multiple carbonation–calcination cycles. Besides sintering, an inadequate release of the adsorbed CO2 during each carbonation–calcination looping cycle is another reason for the deactivation of steel slag, which can be clearly verified by the significant increase of the remaining CaCO3 phase in the steel slag after multiple looping cycles (Fig. S4 in the ESI).


image file: c3ra47426g-f4.tif
Fig. 4 Performance of the surface and pore properties of steel slag after multiple carbonation–calcination cycles in a pure CO2 atmosphere: (a) nitrogen physical adsorption of Barrett–Joyner–Halenda (BJH) dV/dD pore volume at 77 K, (b) nitrogen physical adsorption of Barrett–Joyner–Halenda (BJH) dA/dD pore area at 77 K.

In summary, carbonation–calcination looping of steel slag for CO2 capture from flue gas can significantly improve the CO2 capture capacity of alkaline industrial wastes, such as steel slag, compared to the conventional route of direct carbonation sequestration, thus providing an alternative and more feasible option for the use of alkaline industrial wastes to in situ capture CO2 from industrial sources. If the raw steel slag can be further restructured at the nano-micron scale to increase the content of the available CaO, it would become an ideal CO2 adsorbent with the advantages of cost-savings, an abundant source and a high performance.

Acknowledgements

The authors gratefully acknowledge the Hi-Tech Research and Development Program (863) of China for financial support (grant no. 2012AA06A116). The authors also acknowledge the support from Shanghai Tongji Gao Tingyao Environmental Science & Technology Development Foundation.

Notes and references

  1. M. G. Nyambura, G. W. Mugera, P. L. Felicia and N. P. Gathura, J. Environ. Manage., 2011, 92, 655 CrossRef CAS PubMed .
  2. World Bank WDI Database, http://data.worldbank.org/indicator/EN.ATM.CO2E.KT/countries/1W?display=graph and http://data.worldbank.org/indicator/EN.ATM.CO2E.KT/countries/1W?display=default.
  3. International Energy Agency (IEA), Energy Technology Transitions for Industry, to be found under, http://www.iea.org/publications/freepublications/publication/industry2009.pdf, p. 30 Search PubMed.
  4. International Energy Agency (IEA), Tracking Clean Energy Progress 2013, to be found under, http://www.iea.org/publications/freepublications/publication/TCEP_web.pdf, pp. 64–65 Search PubMed.
  5. J. Tollefson, Nature, 2011, 469, 276 CrossRef CAS PubMed .
  6. M. A. Hussain, Y. Soujanya and G. N. Sastry, Environ. Sci. Technol., 2011, 45, 8582 CrossRef CAS PubMed .
  7. G. T. Rochelle, Science, 2009, 325, 1652 CrossRef CAS PubMed .
  8. R. Steeneveldt, B. Berger and T. A. Torp, Chem. Eng. Res. Des., 2006, 84, 739 CrossRef CAS .
  9. V. Manovic and E. J. Anthony, Environ. Sci. Technol., 2008, 42, 4170 CrossRef CAS .
  10. F. N. Ridha, V. Manovic, A. Macchi and E. J. Anthony, Int. J. Greenhouse Gas Control, 2012, 6, 164 CrossRef CAS PubMed .
  11. M. Clausse, J. Merel and F. Meunier, Int. J. Greenhouse Gas Control, 2011, 5, 1206 CrossRef CAS PubMed .
  12. F. S. Su and C. Y. Lu, Energy Environ. Sci., 2012, 5, 9021 CAS .
  13. R. Banerjee, A. Phan, B. Wang, C. Knobler, H. Furukawa, M. O'Keeffe and O. M. Yaghi, Science, 2008, 319, 939 CrossRef CAS PubMed .
  14. R. Vaidhyanathan, S. S. Iremonger, G. K. H. Shimizu, P. G. Boyd, S. Alavi and T. K. Woo, Angew. Chem., Int. Ed., 2012, 51, 1826 CrossRef CAS PubMed .
  15. Q. Y. Yang, S. Vaesen, F. Ragon, A. D. Wiersum, D. Wu, A. Lago, T. Devic, C. Martineau, F. Taulelle, P. L. Llewellyn, H. Jobic, C. L. Zhong, C. Serre, G. D. Weireld and G. Maurin, Angew. Chem., Int. Ed., 2013, 52, 10316 CrossRef CAS PubMed .
  16. A. Sayari and Y. Belmabkhout, J. Am. Chem. Soc., 2010, 132, 6312 CrossRef CAS PubMed .
  17. N. A. Brunelli, S. A. Didas, K. Venkatasubbaiah and C. W. Jones, J. Am. Chem. Soc., 2012, 134, 13950 CrossRef CAS PubMed .
  18. P. S. Nugent, V. L. Rhodus, T. Pham, K. Forrest, L. Wojtas, B. Space and M. J. Zaworotko, J. Am. Chem. Soc., 2013, 135, 10950 CrossRef CAS PubMed .
  19. Q. Wang, J. Z. Luo, Z. Y. Zhong and A. Borgna, Energy Environ. Sci., 2011, 4, 42 CAS .
  20. A. S. Bhown and B. C. Freeman, Environ. Sci. Technol., 2011, 45, 8624 CrossRef CAS PubMed .
  21. M. L. Gray, K. J. Champagne, D. Fauth, J. P. Baltrus and H. Pennline, Int. J. Greenhouse Gas Control, 2008, 2, 3 CrossRef CAS .
  22. M. Zhao, A. I. Minett and A. T. Harris, Energy Environ. Sci., 2013, 6, 25 CAS .
  23. W. Seifritz, Nature, 1990, 345, 486 CrossRef .
  24. R. Zevenhoven, J. Fagerlund and J. K. Songok, Greenhouse Gases: Sci. Technol., 2011, 1, 48 CrossRef CAS .
  25. P. B. Kelemen and J. Matter, Proc. Natl. Acad. Sci. U. S. A., 2008, 105, 17295 CrossRef CAS .
  26. M. M. Maroto-Valer, D. J. Fauth, M. E. Kuchta, Y. Zhang and J. M. Andresen, Fuel Process. Technol., 2005, 86, 1627 CrossRef CAS PubMed .
  27. S. J. Gerdemann, W. K. O'Connor, D. C. Dahlin, L. R. Penner and H. Rush, Environ. Sci. Technol., 2007, 41, 2587 CrossRef CAS .
  28. P. Renforth, C. L. Washbourne, J. Taylder and D. A. C. Manning, Environ. Sci. Technol., 2011, 45, 2035 CrossRef CAS PubMed .
  29. A. Sanna, M. Dri, M. R. Hall and M. Maroto-Valer, Appl. Energy, 2012, 99, 545 CrossRef CAS PubMed .
  30. S. Y. Pan, E. E. Chang and P. C. Chiang, Aerosol Air Qual. Res., 2012, 12, 770 CAS .
  31. P. J. Gunning, C. D. Hills and P. J. Carey, Waste Manage., 2010, 30, 1081 CrossRef CAS PubMed .
  32. W. J. J. Huijgen, R. N. J. Comans and G. J. Witkamp, Energy Convers. Manage., 2007, 48, 1923 CrossRef CAS PubMed .
  33. S. C. Tian, J. G. Jiang, X. J. Chen, F. Yan and K. M. Li, ChemSusChem, 2013, 6, 2348 CrossRef CAS PubMed .
  34. S. C. Tian and J. G. Jiang, Environ. Sci. Technol., 2012, 46, 13545 CrossRef CAS PubMed .

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c3ra47426g

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