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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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
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author Aviso, Kathleen B.
Tan, Raymond R.
Foo, Dominic C.Y.
Lee, Jui-Yuan
Ubando, Aristotle T.
author_facet Aviso, Kathleen B.
Tan, Raymond R.
Foo, Dominic C.Y.
Lee, Jui-Yuan
Ubando, Aristotle T.
author_sort Aviso, Kathleen B.
collection PubMed
description 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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spelling pubmed-70215372020-02-20 Data set and model code on the optimal operating state of a negative emission polygeneration system Aviso, Kathleen B. Tan, Raymond R. Foo, Dominic C.Y. Lee, Jui-Yuan Ubando, Aristotle T. Data Brief Design 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. Elsevier 2020-01-29 /pmc/articles/PMC7021537/ /pubmed/32083153 http://dx.doi.org/10.1016/j.dib.2020.105140 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Design
Aviso, Kathleen B.
Tan, Raymond R.
Foo, Dominic C.Y.
Lee, Jui-Yuan
Ubando, Aristotle T.
Data set and model code on the optimal operating state of a negative emission polygeneration system
title Data set and model code on the optimal operating state of a negative emission polygeneration system
title_full Data set and model code on the optimal operating state of a negative emission polygeneration system
title_fullStr Data set and model code on the optimal operating state of a negative emission polygeneration system
title_full_unstemmed Data set and model code on the optimal operating state of a negative emission polygeneration system
title_short Data set and model code on the optimal operating state of a negative emission polygeneration system
title_sort data set and model code on the optimal operating state of a negative emission polygeneration system
topic Design
url 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
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