Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.procir.2019.01.081
Title: Collaboration platform for enabling industrial symbiosis: Application of the industrial-symbiosis life cycle analysis engine
Authors: Kerdlap, P.
Low, J.S.C.
Steidle, R.
Tan, D.Z.L.
Herrmann, C.
Ramakrishna, S. 
Keywords: Ciruclar economy
Industrial ecology
Life cycle assessment
Recycling
Sustainable development
Urban metabolism
Issue Date: 2019
Publisher: Elsevier B.V.
Citation: Kerdlap, P., Low, J.S.C., Steidle, R., Tan, D.Z.L., Herrmann, C., Ramakrishna, S. (2019). Collaboration platform for enabling industrial symbiosis: Application of the industrial-symbiosis life cycle analysis engine. Procedia CIRP 80 : 655-660. ScholarBank@NUS Repository. https://doi.org/10.1016/j.procir.2019.01.081
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Environmental benefits and trade-offs of industrial symbiosis (IS) must be quantified through life cycle assessment (LCA) to transparently benchmark how open and closed-loop recycling exchanges contribute to the circular economy transition. Collaboration platforms for enabling IS that exist or are under development can be enhanced through this performance evaluation capability. This paper aims to address the analytical gap by introducing the Industrial Symbiosis-Life Cycle Analysis (IS-LCA) Engine designed to assess the environmental performance of IS. The IS-LCA Engine uses a process-based matrix model to conduct LCAs of waste-to-resource exchanges within an IS network. Users of the IS-LCA Engine are able to view the LCA results at several different levels of interest: (i) the whole network; (ii) individual participating entities; (iii) and specific resource flows. Through a simplified case study, we discuss and demonstrate how the model can be manipulated to evaluate the carbon dioxide emissions from the perspectives of the entire network and its individual entities. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
Source Title: Procedia CIRP
URI: https://scholarbank.nus.edu.sg/handle/10635/210015
ISSN: 2212-8271
DOI: 10.1016/j.procir.2019.01.081
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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