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

Kathleen B. Aviso; Raymond R. Tan; Dominic C.Y. Foo; Jui Yuan Lee; Aristotle T. Ubando

doi:10.1016/j.dib.2020.105140

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

Kathleen B. Aviso
, Raymond R. Tan
, Dominic C.Y. Foo
, Jui Yuan Lee
, Aristotle T. Ubando

Department of Chemical Engineering and Biotechnology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Article number	105140
Journal	Data in Brief
Volume	29
DOIs	https://doi.org/10.1016/j.dib.2020.105140
State	Published - Apr 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s)

Keywords

Carbon dioxide removal
Carbon tax
Desalination
Negative emissions technology
Polygeneration

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10.1016/j.dib.2020.105140

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

abstract = "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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AU - Foo, Dominic C.Y.

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AU - Ubando, Aristotle T.

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AB - 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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KW - Carbon tax

KW - Desalination

KW - Negative emissions technology

KW - Polygeneration

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

Abstract

Bibliographical note

Keywords

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