Abstract
Prospective life cycle assessment (pLCA) using scenarios from integrated assessment models (IAMs) can explore future environmental impacts. However, results are sensitive to the IAM used and only scenarios from two IAMs – REMIND and IMAGE – have been soft-coupled with pLCA using Premise. Here, we establish a new linkage to a third IAM - TIAM-UCL - which diversifies available IAM scenarios and strengthens potential conclusions from pLCA. Over 200 variables across 16 global regions were linked to over 300 LCA processes, representing future technological changes across seven major sectors, including electricity, fuels, and steel. We analyse the future life-cycle impacts of the global electricity mix per kWh delivered to low-voltage consumers using TIAM-UCL scenarios, ecoinvent v3.9.1, and the EF 3.1 impact assessment method. In 1.5–2.0 °C futures, projected reductions in climate change impact from fossil-fuel phase-out have substantial co-benefits in ten categories, such as acidification reducing over 90 % by 2050. Trade-offs are found in five categories, such as critical material shortages. Comparing pLCA results based on all three IAM models showed consistent reductions in climate change impact to meet 1.5–2.0 °C futures. However, differences in other impact category results arose due to variations in low-carbon technologies deployed, such as IMAGE showing smaller environmental co-benefits due to preferences for CCS-fitted fossil generation, while REMIND had increased land use from greater solar uptake. Therefore, it is essential to consider the influence of IAM choice when interpreting pLCA outcomes. The addition of TIAM-UCL, now available in Premise, will enable more robust modelling of prospective environmental impacts.
Original language | English |
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Article number | 115298 |
Journal | Renewable and Sustainable Energy Reviews |
Volume | 211 |
Early online date | 28 Dec 2024 |
DOIs | |
Publication status | E-pub ahead of print - 28 Dec 2024 |
Data Availability Statement
All underlying data and scripts are available in the supplementary material provided with this article, and will be made available on the University of Bath data repository once publishedAcknowledgements
The authors thank the anonymous reviewers for their constructive input on the manuscript.Funding
Joris Simaitis reports financial support was provided by EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems, Grant Number: EP/S023364/1. Joris Simaitis and Stephen Allen report financial support from the UK Energy Research Centre Phase 4 research programme (EPSRC), Grant Number: EP/S029575/1. Isabela Butnar received funding through UK Research and Innovation funded CO2RE Hub, grant number NE/V013106/1. Romain Sacchi received funding through the PRISMA project from the Swiss State Secretariat for Education, Research and Innovation (SERI) and from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101081604.
Keywords
- Climate change mitigation
- Electricity decarbonisation
- Integrated assessment model
- Life cycle assessment (LCA)
- Low-carbon transitions
- Prospective LCA
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
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Dataset and code for: Expanding scenario diversity in prospective LCA: Coupling the TIAM-UCL integrated assessment model with Premise and ecoinvent
Šimaitis, J. (Creator), Butnar, I. (Creator), Sacchi, R. (Creator), Lupton, R. (Creator), Vagg, C. (Creator) & Allen, S. (Creator), University of Bath, 2 Jan 2025
DOI: 10.15125/BATH-01431
Dataset