Systematic decision-support methodology for identifying promising platform technologies towards circular economy

Dominic  Silk; Beatrice Mazzali; Isuru  A. Udugama; Krist V. Gernaey; Manuel Pinelo; John Woodley; Seyed Soheil Mansouri

doi:10.1016/B978-0-12-818634-3.50253-8

Systematic decision-support methodology for identifying promising platform technologies towards circular economy

Dominic Silk, Beatrice Mazzali, Isuru A. Udugama, Krist V. Gernaey, Manuel Pinelo, John Woodley, Seyed Soheil Mansouri^*

^*Corresponding author for this work

Technical University of Denmark

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

Abstract

This work presents a systematic computer-aided decision-support framework to tackle challenges faced when attempting to identify and develop resource recovery projects. The framework is hierarchical and has been developed to facilitate the industries’ transition towards more sustainable production, providing users with the opportunity to evaluate and support decisions on not only a financial basis, but also from a comprehensive techno-economic and sustainability angle. To this end, the framework collects relevant aspects within the sustainability field and addresses concepts such as circular economy, waste management and ‘legacy’ compounds to name some of the more pertinent topics. The proposed methodology is generic and can be applied to a wide variety of potential resource recovery projects. The application of the framework is highlighted through two case studies, phosphorus recovery from a phosphate-based
wastewater stream; and monosaccharide recovery from wheat straw liquor.

Original language	English
Title of host publication	Proceedings of the 29th European Symposium on Computer Aided Process Engineering
Editors	Kiss Anton, Edwin Zondervan, Richard Lakerveld, Leyla Özkan
Publisher	Elsevier
Publication date	2019
Pages	1513-1518
ISBN (Print)	9780128186343
DOIs	https://doi.org/10.1016/B978-0-12-818634-3.50253-8
Publication status	Published - 2019
Event	29th European Symposium on Computer Aided Process Engineering - Eindhoven, Netherlands Duration: 16 Jun 2019 → 19 Jun 2019

Conference

Conference	29th European Symposium on Computer Aided Process Engineering
Country/Territory	Netherlands
City	Eindhoven
Period	16/06/2019 → 19/06/2019

Series	Computer Aided Chemical Engineering
Volume	46
ISSN	1570-7946

Keywords

Sustainability
Decision-support framework
Technology readiness level (TRL)
Resource recovery
Circular Economy

UN SDGs

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

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Silk, D., Mazzali, B., A. Udugama, I., Gernaey, K. V., Pinelo, M., Woodley, J., & Mansouri, S. S. (2019). Systematic decision-support methodology for identifying promising platform technologies towards circular economy. In K. Anton, E. Zondervan, R. Lakerveld, & L. Özkan (Eds.), Proceedings of the 29th European Symposium on Computer Aided Process Engineering (pp. 1513-1518). Elsevier. https://doi.org/10.1016/B978-0-12-818634-3.50253-8

Silk, Dominic ; Mazzali, Beatrice ; A. Udugama, Isuru et al. / Systematic decision-support methodology for identifying promising platform technologies towards circular economy. Proceedings of the 29th European Symposium on Computer Aided Process Engineering. editor / Kiss Anton ; Edwin Zondervan ; Richard Lakerveld ; Leyla Özkan. Elsevier, 2019. pp. 1513-1518 (Computer Aided Chemical Engineering, Vol. 46).

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title = "Systematic decision-support methodology for identifying promising platform technologies towards circular economy",

abstract = "This work presents a systematic computer-aided decision-support framework to tackle challenges faced when attempting to identify and develop resource recovery projects. The framework is hierarchical and has been developed to facilitate the industries{\textquoteright} transition towards more sustainable production, providing users with the opportunity to evaluate and support decisions on not only a financial basis, but also from a comprehensive techno-economic and sustainability angle. To this end, the framework collects relevant aspects within the sustainability field and addresses concepts such as circular economy, waste management and {\textquoteleft}legacy{\textquoteright} compounds to name some of the more pertinent topics. The proposed methodology is generic and can be applied to a wide variety of potential resource recovery projects. The application of the framework is highlighted through two case studies, phosphorus recovery from a phosphate-basedwastewater stream; and monosaccharide recovery from wheat straw liquor. ",

keywords = "Sustainability, Decision-support framework, Technology readiness level (TRL), Resource recovery, Circular Economy",

author = "Dominic Silk and Beatrice Mazzali and {A. Udugama}, Isuru and Gernaey, {Krist V.} and Manuel Pinelo and John Woodley and Mansouri, {Seyed Soheil}",

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Silk, D, Mazzali, B, A. Udugama, I, Gernaey, KV , Pinelo, M , Woodley, J & Mansouri, SS 2019, Systematic decision-support methodology for identifying promising platform technologies towards circular economy. in K Anton, E Zondervan, R Lakerveld & L Özkan (eds), Proceedings of the 29th European Symposium on Computer Aided Process Engineering. Elsevier, Computer Aided Chemical Engineering, vol. 46, pp. 1513-1518, 29th European Symposium on Computer Aided Process Engineering , Eindhoven, Netherlands, 16/06/2019. https://doi.org/10.1016/B978-0-12-818634-3.50253-8

Systematic decision-support methodology for identifying promising platform technologies towards circular economy. / Silk, Dominic ; Mazzali, Beatrice; A. Udugama, Isuru et al.
Proceedings of the 29th European Symposium on Computer Aided Process Engineering. ed. / Kiss Anton; Edwin Zondervan; Richard Lakerveld; Leyla Özkan. Elsevier, 2019. p. 1513-1518 (Computer Aided Chemical Engineering, Vol. 46).

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

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AU - Silk, Dominic

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AU - Gernaey, Krist V.

AU - Pinelo, Manuel

AU - Woodley, John

AU - Mansouri, Seyed Soheil

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AB - This work presents a systematic computer-aided decision-support framework to tackle challenges faced when attempting to identify and develop resource recovery projects. The framework is hierarchical and has been developed to facilitate the industries’ transition towards more sustainable production, providing users with the opportunity to evaluate and support decisions on not only a financial basis, but also from a comprehensive techno-economic and sustainability angle. To this end, the framework collects relevant aspects within the sustainability field and addresses concepts such as circular economy, waste management and ‘legacy’ compounds to name some of the more pertinent topics. The proposed methodology is generic and can be applied to a wide variety of potential resource recovery projects. The application of the framework is highlighted through two case studies, phosphorus recovery from a phosphate-basedwastewater stream; and monosaccharide recovery from wheat straw liquor.

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KW - Decision-support framework

KW - Technology readiness level (TRL)

KW - Resource recovery

KW - Circular Economy

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BT - Proceedings of the 29th European Symposium on Computer Aided Process Engineering

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PB - Elsevier

T2 - 29th European Symposium on Computer Aided Process Engineering

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ER -

Silk D, Mazzali B, A. Udugama I, Gernaey KV , Pinelo M , Woodley J et al. Systematic decision-support methodology for identifying promising platform technologies towards circular economy. In Anton K, Zondervan E, Lakerveld R, Özkan L, editors, Proceedings of the 29th European Symposium on Computer Aided Process Engineering. Elsevier. 2019. p. 1513-1518. (Computer Aided Chemical Engineering, Vol. 46). doi: 10.1016/B978-0-12-818634-3.50253-8

Systematic decision-support methodology for identifying promising platform technologies towards circular economy

Abstract

Conference

Keywords

UN SDGs

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