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

Data Brief. 2020 Jan 29:29:105140. doi: 10.1016/j.dib.2020.105140. eCollection 2020 Apr.

Authors

Kathleen B Aviso¹, Raymond R Tan¹, Dominic C Y Foo², Jui-Yuan Lee³, Aristotle T Ubando⁴

Affiliations

¹ Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
² Department Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Jalan Broga Road, 43500 Semenyih, Selangor, Malaysia.
³ Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan, ROC.
⁴ Mechanical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.

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.

Keywords: Carbon dioxide removal; Carbon tax; Desalination; Negative emissions technology; Polygeneration.