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Title M3-IS-LCA: A Methodology for Multi-level Life Cycle Environmental Performance Evaluation of Industrial Symbiosis Networks
ID_Doc 26005
Authors Kerdlap, P; Low, JSC; Tan, DZL; Yeo, ZQ; Ramakrishna, S
Title M3-IS-LCA: A Methodology for Multi-level Life Cycle Environmental Performance Evaluation of Industrial Symbiosis Networks
Year 2020
Published
DOI 10.1016/j.resconrec.2020.104963
Abstract In industrial symbiosis networks (ISNs), there are multiple stakeholders involved that require different levels of environmental performance insight for specific organizational goals. Life cycle assessment (LCA) has been widely applied to holistically evaluate the environmental benefits of ISNs and identify burden shifts. Representing ISNs in LCAs is complex due to resource flows with multiple sources and sinks and inter-company waste-to-resource exchanges. Furthermore, existing LCA methodologies face challenges in using one model for multi-level analysis to provide the network, entity, and resource flow-level perspectives of LCA results. To address these challenges, this study introduces M-3-IS-LCA, a methodology for multi-level matrix-based modeling and analysis of the life cycle environmental impacts of ISNs. A formalism is outlined for constructing the model and analyzing the model so that LCA results can be provided at the levels of the network, individual company, and specific resource flows. M-3-IS-LCA is tested through an LCA case study that evaluates a potential food waste valorization ISN in Singapore. The case study demonstrated that the methodology can analyze the environmental performance of an entire ISN. Through manipulation of the demand vector in the model, the network-level results can be disaggregated to the levels of individual companies and resource flows. In flow-level analysis, M-3-IS-LCA can isolate the environmental impacts of recycling processes to determine their contribution to the environmental impacts of specific companies or the network. M-3-IS-LCA can be applied to industrial symbiosis collaboration platforms to evaluate the environmental performance of existing or prospective waste-to-resource exchanges.
Author Keywords Industrial ecology; Circular economy; Waste management; Environmental modeling; Zero waste manufacturing
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000569610400057
WoS Category Engineering, Environmental; Environmental Sciences
Research Area Engineering; Environmental Sciences & Ecology
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