A novel method for estimating carbon emission based on industrial metabolism: Blast furnace iron-making with micro mechanism model

Chen, Junwen; Zhang, Hua; Zhao, Gang; Qureshi, Abdul Samad

doi:10.1016/j.egyr.2022.08.016

Cited by 13 publications

(9 citation statements)

References 33 publications

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“…However, it is important to note that top‐down models, including high‐level data models, have demonstrated significant limitations in reliably estimating emissions (Baars et al, 2022; Murray & Lenzen, 2013). Inconsistencies in standards and outdated guidance further contribute to the challenges associated with accurate estimations (Chen et al, 2022; Von Wald et al, 2020). The simplification of high‐level standards into user‐friendly tools has often resulted in errors and inaccuracies, as these tools fail to capture the complexities within different sectors (Downie et al, 2014).…”

Section: Detailed Analysis Of Carbon Accounting Modelsmentioning

confidence: 99%

A dynamic framework to align company climate reporting and action with global climate targets

Christy,

Elnahass,

Amezaga

et al. 2023

Bus Strat Env

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There are global aspirations to reach net zero emissions, which triggered the development of standards, guidance and tools to measure and manage climate action across countries, sectors and companies. However, carbon accounting inaccuracies, ambiguous emissions disclosures and unambitious climate targets are hampering these aspirations. This paper reports on the disparity between high‐level guidance and practical implementation of carbon accounting and reporting at company level. By conducting a systematic literature analysis and focussing on the English Water sector, we utilise case study data from Northumbrian Water Limited (NWL), to identify limitations in the current guidance and frameworks. The results indicate the necessity for enhanced alignment in high‐level guidance, particularly regarding the Greenhouse Gas Protocol and the Science‐Based Target Initiative. It is evident that clarity and consistency from high‐level resources are essential for climate mitigation. This paper shows, depending on the sector and company types, that different benefits are gained from using the available resources. We propose a carbon measurement and management process for the English Water sector (and beyond) to reach net zero targets and make recommendations for decision makers. This helps to understand best practices of carbon accounting and reporting and to make effective investment decisions. Consequently, we advocate for policy interventions to improve the standardisation of carbon accounting models. Harmonising international regulatory frameworks and standards is needed, which will empower organisations to effectively assess, manage and reduce their carbon footprints.

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Section: Detailed Analysis Of Carbon Accounting Modelsmentioning

confidence: 99%

A dynamic framework to align company climate reporting and action with global climate targets

Christy,

Elnahass,

Amezaga

et al. 2023

Bus Strat Env

View full text Add to dashboard Cite

show abstract

“…In the paper, we adopt the CO2 emission coefficient released by IPCC guidelines (Intergovernmental Panel on Climate Change [IPCC], 2006), which has been widely employed in various fields, such as the logistics industry (Quan et al, 2020), industrial metabolism (Chen et al, 2022), and commercial building (Ma et al, 2018). The total fuel consumption is calculated by multiplying mileage of different vehicles by the fuel consumption per kilometer.…”

Section: The Hesitant Fuzzy Linguistic Valencementioning

confidence: 99%

A process-oriented hesitant fuzzy linguistic decision field theory: Application to the selection of new energy vehicles

Xue,

Lu,

et al. 2023

Preprint

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The new energy vehicle industry is thriving with high energy efficiency and environment friendly characteristic and how to select them is a significant comprehensive assessment problem. In the new energy vehicle assessment, the decision makers often encounter some qualitative evaluations which contain several adjacent linguistic terms, that is the hesitant fuzzy linguistic term set, to express their opinions with indicators. The existing hesitant fuzzy linguistic decision-making methods are mainly result-oriented which neglect the dynamic process of information processing. Therefore, we propose a process-oriented hesitant fuzzy linguistic decision field theory to modify the process-oriented decision-making methods combining the decision makers’ preference evolution processes. First, we introduce the BoD method which highlights the advantage indicator and maximizes the comprehensive score of each alternative to endow the weight. Next, the decision field theory is expanded to the hesitant fuzzy linguistic environment combining the normalized carbon emissions. The carbon emission-based preference and time constraint are taken into account to make the decision-making process conform to human decision-making behavior. Finally, the process-oriented decision-making method is applied to select the optimal new energy vehicle. The sensitivity analysis and comparative analysis verify the effectiveness and robustness of the proposed method.

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“…Research on carbon metabolism accounting can be classified from various perspectives. From the perspective of whether to consider the spatial feature of carbon metabolism, studies can be divided into spatial [ 14 , 15 ] and non-spatial [ 16 , 17 ] accounting studies. From the perspective of the degree of refinement of research, studies can be divided into macro [ 6 , 18 ] and micro [ 11 , 17 ] carbon metabolism accounting studies.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, some progress has been made in the investigation of carbon emission and sequestration coefficients of different land types [ 14 ]. The latter usually focuses on the carbon metabolism between different sectors or industries through input-output, life cycle assessment, and material flow analysis methods [ 16 , 17 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the spatiotemporal pattern of the decoupling degree between carbon metabolism and economic development in village and town units

Zhang,

Liu,

Zhao

et al. 2024

PLoS ONE

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In the context of green and sustainable development and rural revitalization, analysis of the relationship between economic development and the evolution of carbon metabolism is of great significance for China’s future transformation of development models. This study analyzed the spatial characteristics and spatiotemporal evolution pattern of the decoupling status between carbon metabolism and economic development of Laiwu during two periods from 2001 to 2018 at the village and town unit scales by using the Tapio decoupling model. The results showed that the growth rate of carbon metabolism from 2001 to 2009 was significantly higher than that from 2009 to 2018. The spatial heterogeneity of the decoupling states between economic development and carbon metabolism from 2009 to 2018 was significantly stronger than that from 2001 to 2009 in two units. From 2001 to 2018, the development trend gradually trended towards spatial imbalance. The decoupling status between villages and towns had a high degree of consistency from 2001 to 2009 and inconsistency from 2009 to 2018. From 2001 to 2009, the decoupling status of about 78% of villages was consistent with that of towns. Moreover, from 2009 to 2018, the consistency reduced to 32.2%, and the decoupling status of about 48% of villages was weaker than that of towns. According to the reclassification results of different decoupling state change types, from 2001 to 2018, about 52.2% of the villages had a decoupling state evolution type of eco-deteriorated economic development, which is an unsatisfactory development trend in a short time. Moreover, about 12.1% of the villages had a decoupling state evolution type of eco-improved economic development, which is a satisfactory development trend.

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A novel method for estimating carbon emission based on industrial metabolism: Blast furnace iron-making with micro mechanism model

Cited by 13 publications

References 33 publications

A dynamic framework to align company climate reporting and action with global climate targets

A dynamic framework to align company climate reporting and action with global climate targets

A process-oriented hesitant fuzzy linguistic decision field theory: Application to the selection of new energy vehicles

Analyzing the spatiotemporal pattern of the decoupling degree between carbon metabolism and economic development in village and town units

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