Time-dependent material flow analysis of iron and steel in the UK

Davis, J; Geyer, Roland; Ley, Jakob P.; He, Jiangen; Clift, Roland; Kwan, Alan Shu Khen; Sansom, A; Jackson, Tim

doi:10.1016/j.resconrec.2006.08.007

Cited by 118 publications

(71 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, when estimating ENMs released in 2016, ENMs produced and incorporated in buildings in 2010 are less likely to be released compared to ENMs produced in 2000, since the building sector has an average lifetime of more than 50 years. 36 In nanoRelease, the end-of-life release of an ENM at year t is given by…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

Dynamic Model for the Stocks and Release Flows of Engineered Nanomaterials

Song

Qin

Suh

et al. 2017

Environ. Sci. Technol.

View full text Add to dashboard Cite

Most existing life-cycle release models for engineered nanomaterials (ENM) are static, ignoring the dynamics of stock and flows of ENMs. Our model, nanoRelease, estimates the annual releases of ENMs from manufacturing, use, and disposal of a product explicitly taking stock and flow dynamics into account. Given the variabilities in key parameters (e.g., service life of products and annual release rate during use) nanoRelease is designed as a stochastic model. We apply nanoRelease to three ENMs (TiO2, SiO2 and FeO x ) used in paints and coatings through seven product applications, including construction and building, household and furniture, and automotive for the period from 2000 to 2020 using production volume and market projection information. We also consider model uncertainties using Monte Carlo simulation. Compared with 2016, the total annual releases of ENMs in 2020 will increase by 34–40%, and the stock will increase by 28–34%. The fraction of the end-of-life release among total release flows will increase from 11% in 2002 to 43% in 2020. As compared to static models, our dynamic model predicts about an order of magnitude lower values for the amount of ENM released from this sector in the near-term while stock continues to build up in the system.

show abstract

Section: ■ Materials and Methodsmentioning

confidence: 99%

Dynamic Model for the Stocks and Release Flows of Engineered Nanomaterials

Song

Qin

Suh

et al. 2017

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…11,12) To understand the circumstances around steel, studies applying material flow analysis (MFA) and stock accounting have been reported. These studies focused not only on steel itself [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] but also on accompanying elements 2,3,7,8,12,[28][29][30][31] over the last several decades. Researchers have conducted short-term (static) and long-term analyses.…”

Section: Revealing Final Destination Of Special Steel Materials Withmentioning

confidence: 99%

Revealing Final Destination of Special Steel Materials with Input-Output-Based Material Flow Analysis

Ohno

Fukushima

Matsubae³

et al. 2017

ISIJ International

View full text Add to dashboard Cite

“…4,[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] This study uses total world figures, which has advantages as follows. Although it is difficult to make a reliable estimation of the consumption of metals by country because of indirect trade of metal containing final goods such as automobile, it is easier to estimate the world consumption.…”

Section: Weighing This Study Against Extant Studiesmentioning

confidence: 99%