TY - JOUR
T1 - Hybrid LCA for sustainable transitions
T2 - principles, applications, and prospects
AU - Hagenaars, R. H.
AU - Heijungs, R.
AU - Tukker, A.
AU - Wang, Ranran
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/4
Y1 - 2025/4
N2 - Hybrid life cycle assessment (LCA) offers an integrated approach, combining process-based and input-output data. As such, it strives for a more comprehensive and precise evaluation of alternative technologies and products, supporting sustainability transitions. A review of 114 studies from 2016 to 2022 reveals that hybrid LCA applications are most commonly focused on energy systems (24 %), with a strong emphasis on assessing climate change impacts. Hybrid LCA is crucial for addressing the data gaps prevalent in environmental evaluations of renewable energy technologies. Methodological innovations, such as combining hybrid LCA with multi-objective optimization, show promise in pinpointing ideal locations and designs for energy plants, such as biorefineries. However, a concerning observation is that many studies employed oversimplified or inadequately documented hybridization procedures, raising questions about their robustness. The review also identifies several remaining challenges in hybrid LCA, including the linearity assumptions, omission of capital goods, price data uncertainties, and inconsistencies in environmental flow data. A significant advancement lies in creating standardized datasets, especially for construction materials. Such datasets could enable large-scale evaluations of embodied impacts across projects, facilitating the selection of construction materials based on comprehensive material trade-offs and supporting net-zero carbon construction. Furthermore, to enhance hybrid LCA in future research, this study presents a streamlined classification of the various methods, clarifying their intended purpose and computational structure.
AB - Hybrid life cycle assessment (LCA) offers an integrated approach, combining process-based and input-output data. As such, it strives for a more comprehensive and precise evaluation of alternative technologies and products, supporting sustainability transitions. A review of 114 studies from 2016 to 2022 reveals that hybrid LCA applications are most commonly focused on energy systems (24 %), with a strong emphasis on assessing climate change impacts. Hybrid LCA is crucial for addressing the data gaps prevalent in environmental evaluations of renewable energy technologies. Methodological innovations, such as combining hybrid LCA with multi-objective optimization, show promise in pinpointing ideal locations and designs for energy plants, such as biorefineries. However, a concerning observation is that many studies employed oversimplified or inadequately documented hybridization procedures, raising questions about their robustness. The review also identifies several remaining challenges in hybrid LCA, including the linearity assumptions, omission of capital goods, price data uncertainties, and inconsistencies in environmental flow data. A significant advancement lies in creating standardized datasets, especially for construction materials. Such datasets could enable large-scale evaluations of embodied impacts across projects, facilitating the selection of construction materials based on comprehensive material trade-offs and supporting net-zero carbon construction. Furthermore, to enhance hybrid LCA in future research, this study presents a streamlined classification of the various methods, clarifying their intended purpose and computational structure.
KW - Benchmarking
KW - Embodied carbon
KW - Embodied energy
KW - Energy transition
KW - Hybrid LCA
KW - Input-output LCA
KW - Process-based LCA
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U2 - 10.1016/j.rser.2025.115443
DO - 10.1016/j.rser.2025.115443
M3 - Review article
AN - SCOPUS:85216731093
SN - 1364-0321
VL - 212
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
M1 - 115443
ER -