Industrial cluster modeling in Linn-R; supporting the publication: Exploring the emergence of waste recovery and exchange in industrial clusters

DOI:10.4121/17886707.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/17886707
Datacite citation style:
Shiva Noori (2022): Industrial cluster modeling in Linn-R; supporting the publication: Exploring the emergence of waste recovery and exchange in industrial clusters. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17886707.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset provides basic information about Linny-R software developed in TU Delft for industrial system optimization and describes its functionalities in cluster modeling. Moreover, it presents technical and economic input data to Linny-R models generated in the manuscript: Exploring the emergence of waste recovery and exchange in industrial clusters. Then, it presents the Linny-R models and their results in an excel file.

History

  • 2022-01-24 first online, published, posted

Publisher

4TU.ResearchData

Format

MS Word: .docx, MS Excel: .xlsx, Linny-R: .lnr

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and Services

DATA

Files (3)