An investigation of hard-disk drive circularity accounting for socio-technical dynamics and data uncertainty

Walzberg, Julien; Burton, Robin; Zhao, Fu; Frost, Kali; Carpenter, Alberta; Heath, Garvin

doi:10.1016/j.resconrec.2021.106102

Cited by 12 publications

(7 citation statements)

References 60 publications

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“…For instance, many ABMS models have been developed to simulate the adoption of recycling behaviors for municipal solid waste, construction waste, or electronic waste (Ceschi et al, 2021;Chen & Gao, 2021;Knoeri et al, 2013;Labelle & Frayret, 2018;Mashhadi et al, 2016;Wang et al, 2021). Other models focused on reverse logistics and remanufacturing [R3-7] with agents often representing organizations (Green et al, 2019;Okorie et al, 2020;Walzberg et al, 2021aWalzberg et al, , 2022b.…”

Section: Abms and Circular Economy Literaturementioning

confidence: 99%

Agent‐based modeling and simulation for the circular economy: Lessons learned and path forward

Walzberg

Frayret

Eberle

et al. 2023

J of Industrial Ecology

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Circular economy aims at decoupling human activities from resource use and creating wealth. However, many have questioned the link between increased circularity and sustainability, resulting in several methodological approaches being developed to answer that question. This article analyzes and discusses the insights gained from applying agent‐based modeling and simulation to study the techno‐economic and social conditions promoting circularity and sustainability. This article analyzes the benefits and limitations of this technology and discusses future methodology developments within the circular economy context. Moreover, six limits of the circular economy concept are used to interpret insights from the literature: thermodynamic limits, system boundary limits, limits posed by the physical scale of the economy, limits posed by path dependencies and lock‐in, limits of governance and management, and limits of social and cultural definitions. Promising research avenues are to use this methodology with machine learning, industrial ecology methods, and detailed geographic information.

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Section: Abms and Circular Economy Literaturementioning

confidence: 99%

Agent‐based modeling and simulation for the circular economy: Lessons learned and path forward

Walzberg

Frayret

Eberle

et al. 2023

J of Industrial Ecology

Self Cite

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show abstract

“…The ABM used in this study builds on previous work (Walzberg et al, 2021b(Walzberg et al, , 2022. This model defines six types of agents (wind plant owners, wind plant developers, recyclers, original equipment manufacturers [OEMs], landfills, and regulators), five EOL pathways (lifetime extension, mechanical recycling, pyrolysis recycling, cement co-processing, and landfilling), and two design options (thermoset and thermoplastic blades) (Figure S1).…”

Section: Modeling Using Historical Trends Indicates That 78% Of Blade...mentioning

confidence: 99%

“…Above a certain distance threshold, it may become more economical to transport wind blades to a local landfill than to a recycling site (Global Fiberglass Solutions, 2020). Furthermore, because of subjective norms and without appropriate incentives or regulations, a lockin scenario could develop (i.e., the first accepted practice retains most of the market) (Korhonen et al, 2018;Walzberg et al, 2022). The following sections analyze such scenarios and the factors affecting them.…”

Section: Increased Recycling Rates In Low Cost Transportation Scenariosmentioning

confidence: 99%

“…(Cooperman et al, 2021). The CE wind ABM builds on previous work (Cooperman et al, 2021;Walzberg et al, 2021bWalzberg et al, , 2022. The model is designed to study the implementation of CE strategies for wind blades and identify the factors that maximize wind blade circularity.…”

Section: Limitations Of the Studymentioning

confidence: 99%

“…However, behavioral traits often undermine the viability of technical solutions (Khan et al, 2020;Moraga et al, 2019;Salim et al, 2019;Sovacool and Griffiths, 2020). For instance, a lack of trust or dissonance with cultural identity caused by a newly introduced technology may cause its failure to reach full market potential (Sovacool and Griffiths, 2020;Walzberg et al, 2022). Thus, it is critical to understand how wind power industry stakeholders' behavioral decisions will affect wind blades' circularity (Walzberg et al, 2021a(Walzberg et al, , 2021b).…”

Section: Introductionmentioning

confidence: 99%

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