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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| Main Authors: | , , , , |
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| Format: | text |
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Animo Repository
2020
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2484 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3483/type/native/viewcontent |
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| Institution: | De La Salle University |
| Summary: | 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. © 2020 The Author(s) |
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