Designer’s Guide for Life Cycle Assessment

Suppipat, Suphichaya; Chotiratanapinun, Treechada; Teachavorasinskun, Kulthida; Hu, Allen H.

doi:10.1007/978-3-031-15060-9_2

Cited by 2 publications

References 6 publications

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A Review on Economic Input-Output Analysis in the Environmental Assessment of Electricity Generation

Henriques

Sousa

2023

Energies

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This paper aims to review one of the least used, but no less important, approaches in the assessment of the environmental implications of electricity generation: the Economic Input-Output Life Cycle Assessment (EIO-LCA). This methodology is a top-down approach intertwined with the environmental satellite accounts provided by the national statistical office. Through the use of economic input-output (IO) tables and industrial sector-level environmental and energy data, the EIO-LCA analysis allows for broad impact coverage of all sectors directly and indirectly involved with electricity generation. In this study, a brief overview of this methodology and the corresponding assumptions is presented, as well as an updated review of the different applications of the EIO-LCA approach in electricity generation, suggesting a possible classification of the many studies developed in this context. The different ways of overcoming the problem of disaggregation in the electricity sector are also addressed, namely by considering different IO table formats (i.e., symmetric or rectangular tables). This is a particularly relevant feature of our review, as the way in which electricity generation is modeled can result in different calculations of the costs and benefits of environmental policies. In this context, this paper further contributes to the literature by explaining and providing examples of distinct approaches to modeling the electricity sector in IO models on a detailed level.

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A Review on Economic Input-Output Analysis in the Environmental Assessment of Electricity Generation

Henriques

Sousa

2023

Energies

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Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Logistics, Operations, and Management Science

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The rapid advancement of Industry 4.0 technologies has ushered in a new era of supply chain management (SCM) that places sustainability at its core. This chapter goes deep into the critical intersection of sustainability metrics and measurement in Industry 4.0-enabled SCM, exploring the dynamic landscape where cutting-edge technology meets environmental, social, and economic responsibility. Beginning with an introduction to Industry 4.0's transformative role in SCM, the authors elucidate the importance of sustainability metrics in this context. The research's scope and objectives are outlined, emphasizing the need to decipher the intricacies of sustainability measurement in an Industry 4.0 ecosystem. The authors provide a comprehensive elucidation of key concepts, definitions, and the unique contributions of this research endeavour. A central focus of this chapter is the alignment of Industry 4.0 SCM with the United Nations' Sustainable Development Goals (SDGs), illuminating how emerging technologies can act as catalysts for achieving these global objectives.

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Designer’s Guide for Life Cycle Assessment

Cited by 2 publications

References 6 publications

A Review on Economic Input-Output Analysis in the Environmental Assessment of Electricity Generation

A Review on Economic Input-Output Analysis in the Environmental Assessment of Electricity Generation

Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM

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