Comparative Evaluation of Chemical Life Cycle Inventory Generation Methods and Implications for Life Cycle Assessment Results
Abstract
A life cycle assessment (LCA) practitioner is often faced with the problem of missing chemical life cycle inventory (LCI) data sets, as current databases cover only a small fraction of chemicals used in commerce. Here, we critically review eight different methods used by LCA practitioners to estimate missing chemical LCI data, including process simulation, engineering process calculations, molecular structure-based models, stoichiometric approaches, use of proxies, and omission. Each method is technically described with examples from the literature, description of advantages and disadvantages, and discussion of suitability depending on availability of data and expertise. Methods are then fully demonstrated and compared for accuracy against reported chemical industry data using case studies of styrene and its downstream product, acrylonitrile-butadiene-styrene (ABS). Resulting LCI and life cycle impact assessment (LCIA) values are compared and discussed, with specific attention to method-specific exclusion of particular flows. Out of the four methods with which full LCIs can be generated, the advanced process-based methods give the most accurate life cycle GHG emission results for styrene and ABS, compared to plant data. Stoichiometric calculations, which are the most commonly used approach, underestimate the actual global warming results by 35–50%. Among the 18 impact categories of the ReCiPe LCIA method, results for the estimated LCI data were within 10% of the actual plant results for only 4–5 categories. Based on the critical review and demonstration results, we provide recommendations for appropriate use of LCI estimation methods in various LCA modeling situations.
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The lack of industrial data requires LCI modeling, which can be in the form of process simulation tools or enhanced process calculations.
“The lack of industrial data requires LCI modeling, which can be in the form of process simulation tools or enhanced process calculations.86”
From Current and Future Impacts of Lithium Carbonate from Brines: A Global Regionalized Life Cycle Assessment Model (2025) · cites this paper as [86]
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- Authors
- Parvatker, A. G., & Eckelman, M. J.
- Affiliations
- Northeastern University (US)
- Corresponding author
- Eckelman, Matthew J.
- Venue
- ACS Sustainable Chemistry & Engineering
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-12-24
- Volume
- 7
- Issue
- 1
- Pages
- 350-367
- ISSN
- 2168-0485 (ISSN-L)
- OpenAlex
- W2905729412
- Cited by
- 169
- References
- 49
- Citations by year
- 2026: 22 · 2025: 41 · 2024: 28 · 2023: 28 · 2022: 18 · 2021: 14 · 2020: 14 · 2019: 4
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Sustainable Chemistry & Engineering (publishedVersion)
- Funders
- Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET-1454414)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Environmental Science › Environmental Chemistry › Chemistry and Chemical Engineering
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Keywords
- process simulation, stoichiometric calculations, proxy data, omission, styrene, ABS, global warming potential, life cycle impact assessment, recipes
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