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

Authors

Kathleen B. Aviso, De La Salle University, Manila
Raymond Girard R. Tan, De La Salle University-Manila
Dominic C. Y. Foo, The University of Nottingham Malaysia Campus
Jui Yuan Lee, National Taipei University of Technology
Aristotle T. Ubando, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Data in Brief

Volume

29

Publication Date

4-1-2020

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. © 2020 The Author(s)

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Digitial Object Identifier (DOI)

10.1016/j.dib.2020.105140

Recommended Citation

Aviso, K. B., Tan, R. R., Foo, D. Y., Lee, J., & Ubando, A. T. (2020). Data set and model code on the optimal operating state of a negative emission polygeneration system. Data in Brief, 29 https://doi.org/10.1016/j.dib.2020.105140

Disciplines

Chemical Engineering

Keywords

Carbon taxes; Carbon dioxide mitigation; Saline water conversion; Polygeneration systems

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