<div class="csl-bib-body">
<div class="csl-entry">Köck, B.-M., Friedl, A., Serna Loaiza, S., Wukovits, W., & Mihalyi-Schneider, B. (2023, September 15). <i>Challenges and opportunities in Life Cycle Inventory data generation for the production of chemicals</i> [Conference Presentation]. 12th International Conference on Environmental Engineering and Management (ICEEM) 2023, Iasi, Romania. https://doi.org/10.34726/5226</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189765
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dc.identifier.uri
https://doi.org/10.34726/5226
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dc.description.abstract
This study addresses the significant contribution of chemical production and use to environmental degradation and human health impacts, emphasizing the shift towards green chemicals and sustainable processes. Life Cycle Assessment (LCA) is identified as a central method for estimating the environmental impact of products, processes, and services over their entire life cycle. The study particularly focuses on the challenges in obtaining reliable and complete data sets for life cycle inventory, especially for technologies or chemicals at an early stage of development.
A systematic literature review was conducted, analyzing publications since 2008. This review aimed to identify methods to reduce data gaps in chemical process inputs and outputs, with a focus on knowledge engineering and data mining, process simulation, predictive LCA using machine learning and multivariate statistics, and computer-aided molecular design. These methods were evaluated for their potential in generating accurate and comprehensive data for LCA.
The study found that these methods can be effectively combined to improve the accuracy and reliability of LCA data generation. The applicability of these methods at different Technology Readiness Levels (TRLs) was also explored. Despite the uncertainties associated with some methods, such as predictive LCA and computer-aided molecular design, their application is deemed useful at various development stages.
The study concludes by emphasizing the role of these methodologies in developing best practices for generating reliable LCA data, supporting informed decision-making towards sustainable chemical production. It also highlights the importance of open science practices in enhancing the transparency and reproducibility of LCA results, which is crucial for addressing potential uncertainties and advancing the field of green chemistry and sustainable processes.
en
dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Life Cycle Inventory
en
dc.subject
Data Generation
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dc.subject
Life Cycle Assessment (LCA)
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dc.subject
Green Chemistry
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dc.subject
Technology Readiness Levels
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dc.title
Challenges and opportunities in Life Cycle Inventory data generation for the production of chemicals
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/5226
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dc.rights.holder
TU Wien
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dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
E6
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tuw.researchTopic.id
E5
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tuw.researchTopic.id
E4
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.name
Efficient Utilisation of Material Resources
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tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.value
33
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tuw.researchTopic.value
34
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tuw.researchTopic.value
33
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tuw.publication.orgunit
E166-01-1 - Forschungsgruppe Partikeltechnologie, Recyclingtechnologie und Technikbewertung
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tuw.publication.orgunit
E166-02 - Forschungsbereich Thermische Verfahrenstechnik und Simulation
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tuw.author.orcid
0000-0001-8977-7577
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tuw.author.orcid
0000-0002-0450-9707
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tuw.author.orcid
0000-0002-2979-476X
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tuw.author.orcid
0000-0001-6381-1319
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tuw.author.orcid
0000-0002-1293-1764
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dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
12th International Conference on Environmental Engineering and Management (ICEEM) 2023
en
tuw.event.startdate
13-09-2023
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tuw.event.enddate
16-09-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Iasi
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tuw.event.country
RO
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tuw.event.institution
Gheorghe Asachi Technical University of Iasi, Romania