Data set and model code on the optimal operating state of a negative emission polygeneration system

This article contains the data set and model code for the negative emission polygeneration system described in Tan et al. (2019). The data was generated utilizing an optimization model implemented in LINGO 18.0 and includes information on the operating state of each process unit in the system. The m...

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Detalles Bibliográficos
Autores principales: Aviso, Kathleen B., Tan, Raymond R., Foo, Dominic C.Y., Lee, Jui-Yuan, Ubando, Aristotle T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Design
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021537/
https://www.ncbi.nlm.nih.gov/pubmed/32083153
http://dx.doi.org/10.1016/j.dib.2020.105140
Descripción
Sumario:This article contains the data set and model code for the negative emission polygeneration system described in Tan et al. (2019). The data was generated utilizing an optimization model implemented in LINGO 18.0 and includes information on the operating state of each process unit in the system. The maximum annual profit of the system was determined at different carbon footprint targets. The data set and model code can be utilized for further analysis on the interdependence between the process units of this polygeneration system, its operational and environmental performance, and the potential impact of integrating new process units into the network.

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