4.6 Article

Investigation of the dynamic evolution of the CO2 carrying capacity of solids with time in La Pereda 1.7 MWth calcium looping pilot plant

Journal

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijggc.2019.102856

Keywords

CO2 capture; Calcium looping; Dynamic; CO2 carrying capacity; Flexibility

Funding

  1. Research Fund for Coal and Steel [709629]
  2. EU
  3. Juan de la Cierva-Incorporacion from the Spanish MICINN

Ask authors/readers for more resources

Calcium Looping (CaL) is a technology that makes use of CaO to capture CO2 from industrial flue gas sources in a carbonator, after which the CO2 is released in a concentrated form in an oxyfired calciner. The CO2 carrying capacity of the particles circulating between the carbonator and calciner is a key variable, as it is intimately linked to CO2 capture efficiency in the carbonator reactor. Therefore, the ability to predict dynamic changes in the CO2 carrying capacity of the sorbent is required to understand the dynamic performance of CaL systems. This work investigates the dynamic evolution of the average CO2 carrying capacity of the sorbent (X-ave) during transient scenarios in a large CaL pilot plant. Several experimental campaigns with extensive solids sampling and analyses were carried out to analyse the evolution of X-ave with time when the make-up flow fed into the calciner is modified (between 0-2.7 kmol CaCO3/h). Variations in X-ave were tracked and the observed trends were interpreted using two residence time distribution models of different complexity. The main characteristics and limitations of each model are discussed in this study. The choice between the two modelling approaches developed in this work depends on the input information available and the degree of accuracy required for each specific application.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available