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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 |
Appears in Collections: | Staff Publications Elements |
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