Sustainable Process Design under uncertainty analysis: targeting environmental indicators

Carina L. Gargalo; Rafiqul Gani

doi:10.1016/B978-0-444-63576-1.50124-2

Sustainable Process Design under uncertainty analysis: targeting environmental indicators

Carina L. Gargalo, Rafiqul Gani

Department of Chemical and Biochemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This study focuses on uncertainty analysis of environmental indicators used to support sustainable process design efforts. To this end, the Life Cycle Assessment methodology is extended with a comprehensive uncertainty analysis to propagate the uncertainties in input LCA data to the environmental indicators. The resulting uncertainties in the environmental indicators are then represented by empirical cumulative distribution function, which provides a probabilistic basis for the interpretation of the indicators. In order to highlight the main features of the extended LCA, the production of biodiesel from algae biomass is used as a case study. The results indicate there are considerable uncertainties in the calculated environmental indicators as revealed by CDFs. The underlying sources of these uncertainties are indeed the significant variation in the databases used for the LCA analysis. The extended LCA procedure is flexible and generic and can handle various sources of uncertainties in environmental impact analysis. This is expected to contribute to more reliable calculation of impact categories and robust sustainable process design.

Original language	English
Title of host publication	Proceedings of the 25th European Symposium on Computer Aided Process Engineering
Editors	Krist V. Gernaey, Jakob K. Huusom, Rafiqul Gani
Volume	37
Publisher	Elsevier
Publication date	2015
Pages	2579-2584
DOIs	https://doi.org/10.1016/B978-0-444-63576-1.50124-2
Publication status	Published - 2015
Event	25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering - Copenhagen, Denmark Duration: 31 May 2015 → 4 Jun 2015 http://www.pse2015escape25.dk/

Conference

Conference	25th European Symposium on Computer Aided Process Engineering
Country/Territory	Denmark
City	Copenhagen
Period	31/05/2015 → 04/06/2015
Internet address	http://www.pse2015escape25.dk/

Series	Computer Aided Chemical Engineering
ISSN	1570-7946

Keywords

Systematic methodology
Separation processes
Ionic liquid
Extractive distillation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Sustainable Process Design under uncertainty analysis: targeting environmental indicators",

abstract = "This study focuses on uncertainty analysis of environmental indicators used to support sustainable process design efforts. To this end, the Life Cycle Assessment methodology is extended with a comprehensive uncertainty analysis to propagate the uncertainties in input LCA data to the environmental indicators. The resulting uncertainties in the environmental indicators are then represented by empirical cumulative distribution function, which provides a probabilistic basis for the interpretation of the indicators. In order to highlight the main features of the extended LCA, the production of biodiesel from algae biomass is used as a case study. The results indicate there are considerable uncertainties in the calculated environmental indicators as revealed by CDFs. The underlying sources of these uncertainties are indeed the significant variation in the databases used for the LCA analysis. The extended LCA procedure is flexible and generic and can handle various sources of uncertainties in environmental impact analysis. This is expected to contribute to more reliable calculation of impact categories and robust sustainable process design.",

keywords = "Systematic methodology, Separation processes, Ionic liquid, Extractive distillation",

author = "{L. Gargalo}, Carina and Rafiqul Gani",

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booktitle = "Proceedings of the 25th European Symposium on Computer Aided Process Engineering",

address = "United Kingdom",

note = "25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering, PSE2015/ESCAPE25 ; Conference date: 31-05-2015 Through 04-06-2015",

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L. Gargalo, C & Gani, R 2015, Sustainable Process Design under uncertainty analysis: targeting environmental indicators. in KV Gernaey, JK Huusom & R Gani (eds), Proceedings of the 25th European Symposium on Computer Aided Process Engineering . vol. 37, Elsevier, Computer Aided Chemical Engineering, pp. 2579-2584, 25th European Symposium on Computer Aided Process Engineering , Copenhagen, Denmark, 31/05/2015. https://doi.org/10.1016/B978-0-444-63576-1.50124-2

Sustainable Process Design under uncertainty analysis: targeting environmental indicators. / L. Gargalo, Carina; Gani, Rafiqul.
Proceedings of the 25th European Symposium on Computer Aided Process Engineering . ed. / Krist V. Gernaey; Jakob K. Huusom; Rafiqul Gani. Vol. 37 Elsevier, 2015. p. 2579-2584 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - L. Gargalo, Carina

AU - Gani, Rafiqul

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AB - This study focuses on uncertainty analysis of environmental indicators used to support sustainable process design efforts. To this end, the Life Cycle Assessment methodology is extended with a comprehensive uncertainty analysis to propagate the uncertainties in input LCA data to the environmental indicators. The resulting uncertainties in the environmental indicators are then represented by empirical cumulative distribution function, which provides a probabilistic basis for the interpretation of the indicators. In order to highlight the main features of the extended LCA, the production of biodiesel from algae biomass is used as a case study. The results indicate there are considerable uncertainties in the calculated environmental indicators as revealed by CDFs. The underlying sources of these uncertainties are indeed the significant variation in the databases used for the LCA analysis. The extended LCA procedure is flexible and generic and can handle various sources of uncertainties in environmental impact analysis. This is expected to contribute to more reliable calculation of impact categories and robust sustainable process design.

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KW - Separation processes

KW - Ionic liquid

KW - Extractive distillation

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T2 - 25th European Symposium on Computer Aided Process Engineering

Y2 - 31 May 2015 through 4 June 2015

ER -

Sustainable Process Design under uncertainty analysis: targeting environmental indicators

Abstract

Conference

Keywords

UN SDGs

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