Non-carbon dioxide emissions modeling in integrated assessment models: A review

Autor: Hao-Ben Yan, Lan-Cui Liu, Jia-Ning Kang, Jin Yan, Wen-Lu Li
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Energy Strategy Reviews, Vol 52, Iss , Pp 101358- (2024)
Druh dokumentu: article
ISSN: 2211-467X
DOI: 10.1016/j.esr.2024.101358
Popis: Modeling of non-carbon dioxide (non-CO2) greenhouse gas (GHG) emissions in integrated assessment models (IAMs) is critical to achieving long-term climate targets. This study selects nine IAMs to reveal the modeling mechanisms and mitigation of non-CO2 GHGs. It further explores the impact of heterogeneity in the consideration of non-CO2 GHGs in IAMs on the climate targets and carbon dioxide removal (CDR) measures. The study shows that some IAMs cover fewer mitigation measures and do not include agricultural non-CO2 GHG emissions or fluorinated gases. The achievement of long-term climate targets can be affected by the lower mitigation potential of non-CO2 GHGs and the heterogeneity in non-CO2 GHG emissions will add uncertainty to the amount of negative CDR emissions.
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