Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.procir.2017.11.075
Title: A Collaboration Platform for Enabling Industrial Symbiosis: Application of the Database Engine for Waste-to-Resource Matching
Authors: Low, J.S.C.
Tjandra, T.B.
Yunus, F. 
Chung, S.Y.
Tan, D.Z.L.
Raabe, B.
Ting, N.Y.
Yeo, Z.
Bressan, S. 
Ramakrishna, S. 
Herrmann, C.
Keywords: Circular Economy
eco-industrial park
industrial ecology
recycling
sustainable development
urban metabolism
waste management
Issue Date: 2018
Publisher: Elsevier B.V.
Citation: Low, J.S.C., Tjandra, T.B., Yunus, F., Chung, S.Y., Tan, D.Z.L., Raabe, B., Ting, N.Y., Yeo, Z., Bressan, S., Ramakrishna, S., Herrmann, C. (2018). A Collaboration Platform for Enabling Industrial Symbiosis: Application of the Database Engine for Waste-to-Resource Matching. Procedia CIRP 69 : 849-854. ScholarBank@NUS Repository. https://doi.org/10.1016/j.procir.2017.11.075
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Industrial symbiosis is realised when companies work collectively and collaboratively to establish 'waste-to-resource' exchanges with one another. In previous work, we presented the architecture of a collaboration platform that allows companies to simulate and analyse the economic viability of establishing such waste-to-resource exchanges in the By-product Exchange Network (BEN) model. In this paper, we describe how we enhance the platform with a database engine for waste-to-resource matching. The database engine aims to fill the gap in information and knowledge of what valuable resources can be recovered from wastes or by-products, and what wastes or by-products can be used as substitute raw materials, and what technology or processes are required to make the waste-to-resource conversion happen. The database engine is built on a graph database that models and stores data for waste-to-resource matching, and comprises a query processor for determining the matches from the stored data. The database engine is implemented as a web application and demonstrated through use cases based on paper and food wastes. � 2018 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/10635/214065
ISSN: 22128271
DOI: 10.1016/j.procir.2017.11.075
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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