| Literature DB >> 30923316 |
Abstract
7 billion tonnes of alkaline materials are produced globally each year as a product or by-product of industrial activity. The aqueous dissolution of these materials creates high pH solutions that dissolves CO2 to store carbon in the form of solid carbonate minerals or dissolved bicarbonate ions. Here we show that these materials have a carbon dioxide storage potential of 2.9-8.5 billion tonnes per year by 2100, and may contribute a substantial proportion of the negative emissions required to limit global temperature change to <2 °C.Entities:
Year: 2019 PMID: 30923316 PMCID: PMC6438983 DOI: 10.1038/s41467-019-09475-5
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Carbon production intensities and sequestration potential of highly alkaline materials, by-products and wastes
| Material | 2010 CO2 intensitya | 2050 CO2 intensityb | Carbonation potentialc | Measured carbonationd | Enhanced weathering potentiale | Carbon offset recycling/reusef |
|---|---|---|---|---|---|---|
| Blast furnace slag | 12,000 | 2700–4300 (286–1080)i | 413 ± 13 | 90–230 | 620 ± 19 | ~100. Up to 700 in high substitution specialised cements. <5 as aggregate |
| Basic oxygen furnace slag | 402 ± 17 | 50–540 | 602 ± 25 | |||
| Electric arc furnace slag | 368 ± 10 | 552 ± 15 | ||||
| Ordinary portland cement | 800 | 200–400 (100–200)i | 510 | 300 | 773 | — |
| Cement kiln dust | 6900g | 1700–3500 | 330 ± 12 | 82–260 | 530 ± 21 | ~0 Recycled into kiln |
| Construction and demolition waste | — | — | 77–110 | — | 110–190 | <5 As aggregate |
| Lime | 1000 | 200h | 777 ± 13 | — | 1165 ± 19 | — |
| Ultrabasic mine tailings | 8–250 | — | 40–250 | <50 | 60–377 | — |
| Hard coal ash | 20,000 | (2000–2600)i | 36 ± 6 | 20–30 | 73 ± 10 | ~100. Up to 700 in high substitution specialised cements |
| Lignite ash | 146 ± 28 | 230–264 | 246 ± 52 | |||
| Marine algae biomass ash | 490 | <−16,200 | 31 | — | 348 | |
| Wood/woody biomass ash | −89–815 | 80–380 | −118 to 1766 | |||
| Herbaceous and agricultural biomass ash | −239–520 | −323 to 1505 | ||||
| Animal biomass ash[ | 56–376 | — | 145–724 | |||
| Biomass average | 186 ± 126 | — | 461 ± 260 | |||
| Red mud | 5400 | (1080) | 47 ± 8 | 7–53 | 128 ± 18 < 440 with acid neutralising capacity of liquor | — |
Input data are presented in Supplementary Table 2 and Supplementary Note 1, all units in kg CO2 t−1
aCalculated by dividing the emissions of the production process by the mass of alkaline material
bPredicted future emission normalised to mass of alkaline material
cMaximum CO2 capture potential by forming carbonate minerals
dCO2 capture measured in experimental work
eMaximum enhanced weathering CO2 capture potential
fCO2 mitigation potential from other uses of material
gSee Supplementary Notes 2 and 3
hBased on an 80% emission reduction target[26] (e.g., UK and EU)
iAccounting for aggregate primary energy carbon intensities in RCP2.6 by 2050. Brackets denote 2100 projected
Fig. 1Consumption/production global saturation estimates for alkaline materials. a Cement, b nickel, c steel, d platinum group metal (PGM), e lime and f aluminium as a function of gross world product (GWP). The diagrams show a nonlinear least squares regression through compiled national data (blue dotted, the shading represents ±the standard error). The saturation value from this was fixed in an additional regression using global data relative to 2014 consumption (red dotted). Using the global fit as a baseline, the relative consumption projections for the shared socio-economic pathways (SSPs) were derived by normalising absolute changes in consumption. Production has been used for lime and cement that have a relatively small international trade market (<5%), otherwise apparent consumption has been plotted using national (slag) or regional (aluminium, PGM, nickel) data
Fig. 2Production estimates for alkaline materials. a Cement, b demolition waste, c lime, d steel, e aluminium, f nickel, g platinum group metals, h coal primary energy and i primary bioenergy. Historical material production[58] and energy use[49] are also shown. Production forecasts were generated by combining a gross world product-per capita production saturation model, with projections of future economic growth, relative consumption, population and energy production
Fig. 3Forecast of CO2 capture potential through carbonation of alkaline materials to 2100 for the baseline shared socio-economic pathways (SSPs). The error bars represent the standard error for the range of concentration pathways in the SSPs (n = 4 for SSPs 1 and 3, and n = 5 for SSPs 2, 4 and 5) together with uncertainties of material production and consumption, and chemistry