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Process modeling, techno-economic assessment, and life cycle assessment of the electrochemical reduction of CO2: a review.
Somoza-Tornos, Ana; Guerra, Omar J; Crow, Allison M; Smith, Wilson A; Hodge, Bri-Mathias.
Afiliação
  • Somoza-Tornos A; Renewable and Sustainable Energy Institute, University of Colorado, Boulder, CO 80309, USA.
  • Guerra OJ; National Renewable Energy Laboratory, Golden, CO, USA.
  • Crow AM; Renewable and Sustainable Energy Institute, University of Colorado, Boulder, CO 80309, USA.
  • Smith WA; National Renewable Energy Laboratory, Golden, CO, USA.
  • Hodge BM; Renewable and Sustainable Energy Institute, University of Colorado, Boulder, CO 80309, USA.
iScience ; 24(7): 102813, 2021 Jul 23.
Article em En | MEDLINE | ID: mdl-34337363
ABSTRACT
The electrochemical reduction of CO2 has emerged as a promising alternative to traditional fossil-based technologies for the synthesis of chemicals. Its industrial implementation could lead to a reduction in the carbon footprint of chemicals and the mitigation of climate change impacts caused by hard-to-decarbonize industrial applications, among other benefits. However, the current low technology readiness levels of such emerging technologies make it hard to predict their performance at industrial scales. During the past few years, researchers have developed diverse techniques to model and assess the electrochemical reduction of CO2 toward its industrial implementation. The aim of this literature review is to provide a comprehensive overview of techno-economic and life cycle assessment methods and pave the way for future assessment approaches. First, we identify which modeling approaches have been conducted to extend analysis to the production scale. Next, we explore the metrics used to evaluate such systems, regarding technical, environmental, and economic aspects. Finally, we assess the challenges and research opportunities for the industrial implementation of CO2 reduction via electrolysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos