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Energetic assessment of CO 2 sequestration through slurry carbonation of steel slag: a factorial study
Author(s) -
Costa Giulia,
Polettini Alessandra,
Pomi Raffaella,
Stramazzo Alessio,
Zingaretti Daniela
Publication year - 2017
Publication title -
greenhouse gases: science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 32
ISSN - 2152-3878
DOI - 10.1002/ghg.1659
Subject(s) - carbonation , slurry , slag (welding) , carbon sequestration , basic oxygen steelmaking , materials science , waste management , process engineering , environmental science , steelmaking , metallurgy , carbon dioxide , chemistry , environmental engineering , engineering , composite material , organic chemistry
Abstract An assessment of the energetic requirements of slurry‐phase accelerated carbonation for CO 2 sequestration using steelmaking slag was conducted. The results of dedicated lab‐scale carbonation experiments in which the CO 2 sequestration yield of basic oxygen furnace slag was investigated at different operating conditions were used for the energy requirement calculations. The operating variables of the process and the associated values adopted were total gas pressure, temperature, and CO 2 concentration in the gas phase. The energy duties of the slurry‐phase carbonation layout were calculated for the different unit operations, which included slag milling, mixing, slurry pumping, heating, CO 2 compression, solid/liquid separation, and CO 2 capture (when required). The estimated energy requirements were found to lie in the range 980−6300 MJ t −1 CO 2 sequestered, where the lower end of the range was associated with the use of diluted CO 2 . In all cases, the use of a concentrated CO 2 flow proved largely energetically unfavorable over the use of diluted gas streams, since the energy duty of the required CO 2 capture stage by far overcame the benefits associated with improved sequestration yields at increased CO 2 concentrations in the gas phase. The calculated energy requirements were also processed to derive a second‐order model accounting for the main effects and interactions between the operating variables of the carbonation process. The model developed is meant to predict the expected energy demand of the carbonation process under different operating conditions and to define the optimal combination of these in terms of the energetic profile of the process itself. © 2016 Society of Chemical Industry and John Wiley & Sons, Ltd.