Circular economy, data analytics, and low carbon concreting: A case for managing recycled powder from end-of-life concrete

Martin, Ciara; Manu, Emmanuel; Hou, Pengkun; Adu-Amankwah, Samuel

doi:10.1016/j.resconrec.2023.107197

Cited by 6 publications

(2 citation statements)

References 81 publications

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“…This implies that UHPFRC needs to be further optimized with low-carbon materials, with its final cost and ecological developments requiring more experimental information, which is the main aspect in this research. The use of industrial by-products in UHPFRC reduces the environmental and economic impacts [9].…”

Section: Introductionmentioning

confidence: 99%

“…Unlike the end-of-life phase of concrete [9], of which considerable studies have been conducted, little attention has been paid to the waste disposed of by the petrochemical industries. In crude oil refinery factories, one of the indispensable materials (in a powder form) is fluid cracking catalyst (FCC), which is vital for breaking the molecules of highweight crude oils.…”

Section: Introductionmentioning

confidence: 99%

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Green Manufacturing of UHPFRC Made with Waste Derived from Scrap Tires and Oil Refineries

Abdolpour,

Muthu,

Niewiadomski

et al. 2024

Applied Sciences

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Ultrahigh-performance fiber-reinforced cement-based composite (UHPFRC) made with waste derived from scrap tires and oil refineries was tested in this study. The UHPFRC sample exhibited a maximum compressive strength of about 189 MPa at the end of 28 days. Steel fibers were recovered from scrap tires and were added up to 3% by volume in the UHPFRC samples. Such additions reduced cement flow by 11% but improved compressive strength by 21%. The equilibrium catalyst particles (ECAT) disposed of by oil refineries were used in amounts of up to 15% by weight as a replacement for cement in such UHPFRC samples. These aluminosilicate materials are spherical in shape and have a porous microstructure, which was found to reduce the cement flow by absorbing more free water onto their surfaces. They also reduced the heat and strength developments at early stages. However, the total cost of the final cement-based mixture and associated CO2 emissions were reduced by up to 7% and 15% due to the inclusion of the ECAT particles. These findings help to optimize the ECAT and recovered steel fibers in the UHPFRC mix design, and such waste valorization strategies can help achieve the goal of becoming carbon neutral.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green Manufacturing of UHPFRC Made with Waste Derived from Scrap Tires and Oil Refineries

Abdolpour,

Muthu,

Niewiadomski

et al. 2024

Applied Sciences

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Digital technology adoption in circular startups: An integrated framework

Hajoary,

Jennifer,

Pathak

2024

Bus Strat Dev

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While the role of digital technologies (DTs) in facilitating entrepreneurship is well established, research on understanding the role of DTs among circular start‐ups as part of their overall strategy is scarce. This is vital from the perspective of emerging economies, such as India. The study aims to identify and analyse the factors influencing digital technology adoption in circular start‐ups using the Technology‐Organisation‐Environment (TOE) framework and Technology Acceptance Model (TAM) to form a novel Circular Startup Digital Adoption (CSDA) framework. In addition to integrating the TOE framework and TAM, the study utilises a systematic literature review with subject‐matter‐expert (SME) consultation in order to determine the factors of the CSDA framework. To the best of the authors' knowledge, this is among the first studies to analyse the factors behind the adoption of DTs by circular startups from an emerging economy perspective, offering theoretical, managerial and policy implications.

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Relationship between recycling, circular economy and eco‐innovation in Europe. Application of a dynamic network data envelopment analysis model

García‐Valderrama,

Sánchez‐Ortiz,

Pérez‐González

et al. 2024

Bus Strat Env

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Monitoring of European‐level circular economy (CE) efficiency requires more research than does currently exists in the body of literature on CE. In this regard, this research aims to answer two research questions. Firstly, to be efficient in the implementation of CE at a macroeconomic level, should there be a relationship between the efficiency of the three phases of CE (efficiency in recycling, efficiency in the implementation of CE and efficiency of eco‐innovation)? To answer this question, we use decoupling theory. Secondly, are the three phases of CE related from the point of view of dynamic efficiency? To answer this question, we use dynamic efficiency theory.In accordance with both of these theories, we establish a circular relationship between recycling, CE and eco‐innovation. We test this circular relationship through the application of the dynamic network data envelopment analysis (DNDEA) model of Tone and Tsutsui. The analysis is based on Eurostat data for the period of 2016 to 2022 for 27 European countries.This work contributes to the advancement of the research via (1) the development of a model for measuring the transversal and longitudinal efficiency of the CE and (2) the findings of positive and significant relationships between the efficiency ratios of the three fundamental phases (recycling, CE and eco‐innovation). This leads us to affirm that the countries studied that have managed to be efficient in recycling have also been in the implementation phase of CE and eco‐innovation.

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Circular economy, data analytics, and low carbon concreting: A case for managing recycled powder from end-of-life concrete

Cited by 6 publications

References 81 publications

Green Manufacturing of UHPFRC Made with Waste Derived from Scrap Tires and Oil Refineries

Green Manufacturing of UHPFRC Made with Waste Derived from Scrap Tires and Oil Refineries

Digital technology adoption in circular startups: An integrated framework

Relationship between recycling, circular economy and eco‐innovation in Europe. Application of a dynamic network data envelopment analysis model

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