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Digitizing sustaina...
Digitizing sustainable process development: From ex-post to ex-ante LCA using machine-learning to evaluate bio-based process technologies ahead of detailed design
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- Karka, Paraskevi, 1982 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,National Technical University of Athens (NTUA)
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- Papadokonstantakis, Stavros, 1974 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Technische Universität Wien,Vienna University of Technology
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- Kokossis, A. (författare)
- National Technical University of Athens (NTUA)
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- Engelska.
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Ingår i: Chemical Engineering Science. - : Elsevier BV. - 0009-2509. ; 250
- Relaterad länk:
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https://research.cha...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Life Cycle Assessment is a data-intensive process holding great promise to benefit from advanced analytics and machine learning technologies. The present research aims at the development of a data-science based framework with capabilities to estimate LCA metrics of bio-based and biorefinery processes in early design phases. Life cycle inventories may combine experimental (pilot and lab scale) data, property and thermodynamic databases, and model-derived data from simulations and design studies. The framework applies advanced analytics such as classification trees and artificial neural networks (ANN) with a scope to produce input–output relationships through predictor variables that refer to the molecular structure of bio-chemical or bio-fuel products of interest, the feedstocks used, and the process technologies characteristics. The combined use of ANNs and trees demonstrates a coordinated level of complementarity between the approaches, while it improves robustness and streamlines LCA estimations in the early-stage design.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Rymd- och flygteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Aerospace Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- Biorefineries
- Artificial neural networks
- Machine learning
- Clustering and classification
- Ex-ante LCA
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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