Cradle-to-cradle modeling of the future steel flow in China

Wang, Peng; Li, Wen; Kara, Sami

doi:10.1016/j.resconrec.2015.07.009

Cited by 52 publications

(19 citation statements)

References 40 publications

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“…Within MFA, stock growth is studied by prospective dynamic stock models that relate population growth and lifestyle to levels of in-use stocks and that apply stock-driven modelling ( Müller, 2006 ) to build scenarios for future metal cycles, including the levels of primary and secondary production ( Liu et al, 2012 , Oda et al, 2013 , Pauliuk et al, 2013 , Pauliuk et al, 2012 ). The impact of scrap recovery and remelting technologies on future material cycles is studied by prospective dynamic material cycle models as well ( Davis et al, 2007 , Hatayama et al, 2010 , Liu et al, 2012 , Milford et al, 2013 , van Ruijven et al, 2016 , Wang et al, 2015 ). The existing models have in common that they describe national, regional, or global material cycles at their respective scale for the different model time steps; they can quantify recycling levels, loss rates, and the levels of application of recycled material in different product categories for the entire system.…”

Section: Introductionmentioning

confidence: 99%

Regional distribution and losses of end-of-life steel throughout multiple product life cycles—Insights from the global multiregional MaTrace model

Pauliuk

Kondo

Nakamura

et al. 2017

Resources, Conservation and Recycling

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Section: Introductionmentioning

confidence: 99%

Regional distribution and losses of end-of-life steel throughout multiple product life cycles—Insights from the global multiregional MaTrace model

Pauliuk

Kondo

Nakamura

et al. 2017

Resources, Conservation and Recycling

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“…Some of these studies focus on modeling specific countries or regions (Kuramochi (2015) for Japan; Serrenho et al (2016) for the UK; and Wang et al (2014Wang et al ( , 2015, Wubbeke andHeroth 2014, andXuan andYue 2016 for China), while others have a multiregion or global perspective (Morfeldt et al 2012;Oda et al 2013;Pauliuk et al 2013a, b;Yellishetty et al 2011). Other studies investigate current and potential recycling rates that can be achieved to close the production cycle (Graedel et al 2011a, b;Wang et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Weighing regional scrap availability in global pathways for steel production processes

et al. 2017

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This study analyses the impact of the rising availability of steel scrap on the future steel production up to the year 2100 and implications for steel production capacity planning. Steel production processes are energy, resource, and emission intensive, but there are significant variations due to different production routes, product mixes, and processes. This analysis is based on the development of steel demand, using the Steel Optimization Model, which provides a region-detailed representation of technologies, energy and material flows, and trade activities. It is linked to the Scrap Availability Assessment Model which estimates the theoretical steel scrap availability. Aggregated crude steel production is estimated to evolve into an almost balanced split by 2050 between the primary production route using iron ore in the blast oven furnace and the secondary route using mostly steel scrap in the electric arc furnace. By 2060, the share of secondary steel production will exceed the share of primary steel production globally. The results also estimate a global increase in scrap use from 611 Mtonnes in 2015 to 1500 Mtonnes in 2050, with the highest growth being for postconsumer scrap. In 2050, almost 50% of postconsumer scrap is expected to be traded, with the main exporter being China and major importing regions being Africa, India, and other developing Asian countries. The results provide valuable insights on scrap availability and capacity development at the regional level for producers contemplating new investments. Regional availability, quality, and trade patterns of scrap will influence production route choices, possibly in favor of secondary routes. Also, policy instruments such as carbon taxation may affect investment choices and favor more energyefficient and less carbon-intensive emerging technologies.

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“…Steel reuse and recycling in buildings, e.g. steel sheet cladding, light steel as door frames, load-bearing steel sections, has been investigated by researchers [33][34][35][36][37] without reducing large quantities of construction and demolition waste. The reuse and recovery of clay bricks and other masonry blocks jointed by either lime-based or cement-based mortar has also been increasingly addressed to retain the high embodied energy of these products [10,19,38].…”

Section: Underground Constructionmentioning

confidence: 99%

Numerical Prediction and Corresponding Circular Economy Approaches for Resource Optimisation and Recovery of Underground Structures

2020

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The transition from a linear economy to a circular economy is a significant component of economic, environmental and social sustainability. Underground metro infrastructures such as tunnels can play a vital role in a circular economy, resulting in greater sustainability and less contribution to climate change. This paper presents numerical models of small-scale brick-lined railway tunnels to identify the critical locations, and then proposes corresponding circular approaches and solutions for the design, maintenance, life extension and end-of-service-life (EoSL) stages of underground infrastructures. The proposed numerical model is firstly verified with respect to the relevant experimental model based on tests under various loading conditions. The results demonstrate that detailed failure processes can be realistically captured by the numerical model, while the macroscopic behaviour compares well with experimental observations. Numerical modelling and subsequent prediction stand out as a practical approach and a powerful performance-based tool for analysing the reuse/recycling potential of metro tunnels and then carrying out easy repair and design for adaptability, disassembly and recoverability of underground infrastructures for a circular economy.

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Cradle-to-cradle modeling of the future steel flow in China

Cited by 52 publications

References 40 publications

Regional distribution and losses of end-of-life steel throughout multiple product life cycles—Insights from the global multiregional MaTrace model

Regional distribution and losses of end-of-life steel throughout multiple product life cycles—Insights from the global multiregional MaTrace model

Weighing regional scrap availability in global pathways for steel production processes

Numerical Prediction and Corresponding Circular Economy Approaches for Resource Optimisation and Recovery of Underground Structures

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