Application of exergy analysis for improving energy efficiency of natural gas liquids recovery processes. (22nd January 2015)

• Record Type: Journal Article
• Authors: Shin, Jihoon; Yoon, Sekwang; Kim, Jin-Kuk
• Is Part Of: Applied thermal engineering. Volume 75(2015:Jan.)
• Page Start: 967
• Page End: 977
• Publication Date: 2015-01-22
• Subjects: Energy efficiency -- Natural gas liquids -- Exergy analysis -- Simulation -- Optimization; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2014.10.042
• Languages: English
• ISSNs: 1359-4311

Abstract

Abstract: Thermodynamic analysis and optimization method is applied to provide design guidelines for improving energy efficiency and cost-effectiveness of natural gas liquids recovery processes. Exergy analysis is adopted in this study as a thermodynamic tool to evaluate the loss of exergy associated with irreversibility in natural gas liquids recovery processes, with which conceptual understanding on inefficient design feature or equipment can be obtained. Natural gas liquids processes are modeled and simulated within UniSim ® simulator, with which detailed thermodynamic information are obtained for calculating exergy loss. The optimization framework is developed by minimizing overall exergy loss, as an objective function, subject to product specifications and engineering constraints. The optimization is carried out within MATLAB ® with the aid of a stochastic solver based on genetic algorithms. The process simulator is linked and interacted with the optimization solver, in which optimal operating conditions can be determined. A case study is presented to illustrate the benefit of using exergy analysis for the design and optimization of natural gas liquids processes and to demonstrate the applicability of design method proposed in this paper. Highlights: Application of exergy analysis for natural gas liquids (NGL) recovery processes. Minimization of exergy loss for improving energy efficiency. A systematic optimization framework for the design of NGL recovery processes.