Engineering Solutions for CO2 Conversion. Группа авторов

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gas combined cycle power plant with post‐combustion CO2 capture. Int. J. Greenhouse Gas Control 63: 158–174.

      60 60 Gardarsdóttir, S., Montañés, R.M., Normann, F. et al. (2017). Effects of CO2‐absorption control strategies on the dynamic performance of a supercritical pulverized‐coal‐fired power plant. Ind. Eng. Chem. Res. 56 (15): 4415–4430.

      61 61 Bui, M., Gunawan, I., Verheyen, V. et al. (2016). Flexible operation of CSIRO's post‐combustion CO2 capture pilot plant at the AGL Loy Yang power station. Int. J. Greenhouse Gas Control 48: 188–203.

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      65 65 Martinez Castilla, G., Biermann, M., Montañés, R.M. et al. (2019). Integrating carbon capture into an industrial combined‐heat‐and‐power plant: performance with hourly and seasonal load changes. Int. J. Greenhouse Gas Control 82: 192–203.

      66 66 Mechleri, E., Fennell, P.S., and Mac Dowell, N. (2017). Optimisation and evaluation of flexible operation strategies for coal‐ and gas‐CCS power stations with a multi‐period design approach. Int. J. Greenhouse Gas Control 59: 24–39.

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      69 69 CEMCAP (2018). D 4.6 – Comparative techno‐economic analysis of CO2 capture in cement plants, Deliverable 4.6, 2018.

      70 70 Skagestad, R., Normann, F., Garðarsdóttir, S.Ó. et al. (2017). CO2 stCap – cutting cost of CO2 capture in process industry. Energy Procedia 114 (1876): 6303–6315.

      71 71 IEAGHG (2018). Cost of CO2 capture in the industrial sector: cement and iron and steel industries, 2018/03.

      72 72 Jansen, D., Gazzani, M., Manzolini, G. et al. (2015). Pre‐combustion CO2 capture. Int. J. Greenhouse Gas Control 40: 167–187.

      73 73 Rackley, S.A. (2009). Carbon Capture and Storage. Butterworth‐Heinemann.

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      1 1 https://www.iea.org/etp/explore/ (visited in January 2019).

      2 2 Under specific arrangements.

      3 3 The Global Status of CCS, GCCSI 2018 https://indd.adobe.com/view/2dab1be7-edd0-447d-b020-06242ea2cf3b.

      4 4 http://www.cleanker.eu.

      5 5 https://www.netl.doe.gov/project-information?p=FE0026580.

      6 6 www.cleanker.eu.

      7 7 https://3d-ccus.com/.

       Daniel Sebastia‐Saez1, Evgenia Mechleri1, and Harvey Arellano‐García1

       1University of Surrey, Department of Chemical and Process Engineering, GU2 7XH, Guildford, United Kingdom

       2Brandenburgische Technische Universität Cottbus‐Senftenberg, LS Prozess‐ und Anlagentechnik, D‐03046, Cottbus, Germany

      The application of quantum mechanics and molecular dynamics to the field of CCSU provides valuable data on fractional free volume (space between particles), diffusion coefficients, and a better understanding of the role of hydrogen bonds on the absorption of CO2 into amino acid ionic liquids (AAILs) [1]; the mechanism for carbon dioxide sequestration within porous rocks [2]; the study of the phase change mechanism of biphasic solvents for CO2 capture [3]; and the adsorption mechanism including selectivity of different gas molecules in porous matrices [4]. In conclusion, quantum mechanics and molecular dynamics provide a visualization of the diffusion and chemical bonding at the subatomic and molecular level and are of interest for the development and study of new solvents and solid sorbents and the evaluation of sequestering media both in terms of diffusion time and depth.

      In some other instances, however, researchers might need to obtain a broader vision of the phenomena taking place at larger time and length scales. Having commented briefly on the capabilities of quantum mechanics and molecular dynamics, the next step toward greater length and time scales is given by the application of continuum mechanics, which assumes that matter is a continuum instead of being formed by discrete particles. There is thus a boundary in terms of length scale between the suitability of the use of molecular dynamics or continuum mechanics for a given problem. Generally speaking, continuum mechanics must be applied instead of molecular dynamics when the representative length scale of the phenomenon to be studied is greater than the mean free path of the particles; that is, when the length scale contains a large number of particles. The Knudsen number italic upper K n equals 
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