Dataset and code for: Expanding scenario diversity in prospective LCA: Coupling the TIAM-UCL integrated assessment model with Premise and ecoinvent
This dataset contains TIAM-UCL scenario and mapping files designed for use with Premise, a Python-based tool for prospective life cycle assessment (LCA). TIAM-UCL is an integrated assessment model (IAM) that projects future scenarios for energy systems and their environmental impacts. The dataset includes four climate change mitigation scenarios, ranging from limiting global warming to 1.5°C to 3.0°C, across 16 global regions. These scenarios cover key sectors such as electricity, fuels, and steel, projecting production volumes, technology mixes, and efficiencies. Examples include the phase-out of fossil fuels and the increased adoption of renewable energies. While primarily developed for LCA applications within Premise, these data can be utilized in other contexts as well. The dataset, code, and additional figures also serve as supplementary information 1-4 for the associated paper.
Cite this dataset as:
Šimaitis, J.,
Butnar, I.,
Sacchi, R.,
Lupton, R.,
Vagg, C.,
Allen, S.,
2025.
Dataset and code for: Expanding scenario diversity in prospective LCA: Coupling the TIAM-UCL integrated assessment model with Premise and ecoinvent.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01431.
Export
Data
Supplementary … Scenario files.zip
application/zip (5MB)
Creative Commons: Attribution 4.0
Provides mapping and scenario files from TIAM-UCL for Premise; also available in the official Premise documentation. This is "Supplementary Information 1".
Supplementary … Figure data.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (96kB)
Creative Commons: Attribution 4.0
Provides figure data and additional results. This is "Supplementary Information 3".
Supplementary … Additional figures.zip
application/zip (2MB)
Creative Commons: Attribution 4.0
Additional figures. This is "Supplementary Information 4".
Code
Supplementary … 2 - Code.zip
application/zip (1MB)
Creative Commons: Attribution 4.0
Creators
Joris Šimaitis
University of Bath
Isabela Butnar
University College London
Romain Sacchi
Paul Scherrer Institute
Rick Lupton
University of Bath
Christopher Vagg
University of Bath
Stephen Allen
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The data was collected directly from the TIAM-UCL model at University College London as several Excel-based outputs. The data defined multiple technology variables across various sectors, regions, and year periods.
Data processing and preparation activities:
These outputs were combined and processed using Python to fulfil the mapping formatting of the intended Premise software and obtain the final files published in this data set.
Technical details and requirements:
The data can be viewed and used with Microsoft Excel. If needed, raw, unprocessed data can be obtained directly from TIAM-UCL by contacting the relevant authors.
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems
EP/S023364/1
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
UK Energy Research Centre Phase 4 - Theme 7
EP/S029575/1
Publication details
Publication date: 2 January 2025
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01431
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1431
Related papers and books
Šimaitis, J., Butnar, I., Sacchi, R., Lupton, R., Vagg, C., and Allen, S., 2025. Expanding scenario diversity in prospective LCA: Coupling the TIAM-UCL integrated assessment model with Premise and ecoinvent. Renewable and Sustainable Energy Reviews, 211, 115298. Available from: https://doi.org/10.1016/j.rser.2024.115298.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Joris Šimaitis
Faculty of Engineering & Design
Architecture & Civil Engineering
Mechanical Engineering
Research Centres & Institutes
EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
Institute for Sustainability
