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

UN SDGs

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

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

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

Access to Document

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

OpenUrl availability

Full text

Cite this

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).

@inproceedings{c5bfe5d4f90a4f2e9ef7e15c408e2e44,

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-based wastewater 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\}",

year = "2019",

doi = "10.1016/B978-0-12-818634-3.50253-8",

language = "English",

isbn = "9780128186343",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "1513--1518",

editor = "Kiss Anton and Zondervan, \{Edwin \} and Lakerveld, \{Richard \} and {\"O}zkan, \{Leyla \}",

booktitle = "Proceedings of the 29th European Symposium on Computer Aided Process Engineering",

address = "United Kingdom",

note = "29th European Symposium on Computer Aided Process Engineering ; Conference date: 16-06-2019 Through 19-06-2019",

}

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

TY - GEN

T1 - Systematic decision-support methodology for identifying promising platform technologies towards circular economy

AU - Silk, Dominic

AU - Mazzali, Beatrice

AU - A. Udugama, Isuru

AU - Gernaey, Krist V.

AU - Pinelo, Manuel

AU - Woodley, John

AU - Mansouri, Seyed Soheil

PY - 2019

Y1 - 2019

N2 - 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.

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-based wastewater stream; and monosaccharide recovery from wheat straw liquor.

KW - Sustainability

KW - Decision-support framework

KW - Technology readiness level (TRL)

KW - Resource recovery

KW - Circular Economy

U2 - 10.1016/B978-0-12-818634-3.50253-8

DO - 10.1016/B978-0-12-818634-3.50253-8

M3 - Article in proceedings

SN - 9780128186343

T3 - Computer Aided Chemical Engineering

SP - 1513

EP - 1518

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

A2 - Anton, Kiss

A2 - Zondervan, Edwin

A2 - Lakerveld, Richard

A2 - Özkan, Leyla

PB - Elsevier

T2 - 29th European Symposium on Computer Aided Process Engineering

Y2 - 16 June 2019 through 19 June 2019

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

UN SDGs

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this