Issue 12, 2024

General equations to estimate the CO2 production of (bio)catalytic reactions in early development stages

Abstract

Global warming potential (GWP, kg CO2eq per kg product) is a core impact indicator when assessing the greenness of synthetic reactions in life cycle assessments (LCAs). GWP contributions arise from the production and transportation of chemicals, solvents, and catalysts to the chemical plant, from the reaction (upstream), from the purification steps (downstream), and from the energy invested in the process. For (bio)catalysis, water and spent organic solvents are the major waste contributors, from which CO2 is generated through their processing via wastewater treatment or incineration. Assessing GWP in organic synthesis appears wearisome, demanding time, resources and expertise. However, GWP estimations at early process stages would rapidly identify the hotspots to improve the environmental impact. This paper proposes equations that can be combined depending on the reaction, to estimate the GWP by using readily available process parameters (substrate loading, conversion, reaction media, temperature, time, and thermodynamic values). Once equations are chosen for each reaction (e.g. process conducted in water or in organic media, type of downstream, etc.), estimated GWP can be obtained. Scenarios can be simulated by changing parameters, to assist practitioners at process early stages to understand how (bio)catalytic reactions can be established in a greener way.

Graphical abstract: General equations to estimate the CO2 production of (bio)catalytic reactions in early development stages

Supplementary files

Article information

Article type
Paper
Submitted
30 avq 2024
Accepted
23 okt 2024
First published
24 okt 2024
This article is Open Access
Creative Commons BY license

RSC Sustain., 2024,2, 3817-3825

General equations to estimate the CO2 production of (bio)catalytic reactions in early development stages

P. Domínguez de María, RSC Sustain., 2024, 2, 3817 DOI: 10.1039/D4SU00535J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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