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

航空太空工程學系

研究成果: Article › 同行評審

1 引文斯高帕斯（Scopus）

摘要

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.

原文	English
文章編號	105140
期刊	Data in Brief
卷	29
DOIs	https://doi.org/10.1016/j.dib.2020.105140
出版狀態	Published - 2020 4月

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10.1016/j.dib.2020.105140

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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.",

author = "Aviso, {Kathleen B.} and Tan, {Raymond R.} and Foo, {Dominic C.Y.} and Lee, {Jui Yuan} and Ubando, {Aristotle T.}",

note = "Funding Information: This work was supported by the Commission on Higher Education (CHED) of the Republic of the Philippines via the Sustainability Studies Program at De La Salle University . Publisher Copyright: {\textcopyright} 2020 The Author(s)",

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AU - Foo, Dominic C.Y.

AU - Lee, Jui Yuan

AU - Ubando, Aristotle T.

N1 - Funding Information: This work was supported by the Commission on Higher Education (CHED) of the Republic of the Philippines via the Sustainability Studies Program at De La Salle University . Publisher Copyright: © 2020 The Author(s)

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N2 - 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.

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

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