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State transients in storage systems for energy fluids.

Authors :
Coimbatore Meenakshi Sundaram, Aruna
Karimi, Iftekhar A
Source :
Computers & Chemical Engineering. Jan2021, Vol. 144, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• Comprehensive, efficient, industrially useful spatiotemporal dynamic model for simulating state transients in an energy fluid storage system. • The storage system may have arbitrary initial conditions, feed/product and recirculation flows, multicomponent evaporation/condensation, heat leaks, and boil-off gas removal. • Novel, adaptive, spatially moving grid for tracking sharp and moving vapor-liquid interface. • Rigorous expressions for multicomponent evaporation/condensation in storage systems near saturation conditions. • Complete model validation and demonstration on industrial storage terminals for hydrogen, LNG, and liquid air. As the world adopts cleaner and/or renewable energy sources, energy fluids (e.g. hydrogen, ammonia, liquefied natural gas, liquid air, etc.), their transport, and their storage are becoming increasingly important. Feed/product flows, flashing recirculation flows, evaporation, condensation, heat leak, and boil-off gas removal lead to state transients in their storage systems with significant mechanical, safety, environmental, and efficiency implications. This study presents a comprehensive simulation model based on a novel stretchable and spatially moving grid for predicting spatiotemporal transients in a cylindrical storage tank. The model is fully validated under limiting scenarios and then applied to several industrial storage terminals involving liquid hydrogen, liquid air, and liquefied natural gas. In addition to its novel grid formulation, the model offers significant advances over simpler lumped-parameter and complex fluid dynamics models in the literature and commercial process simulators. It gives useful practical insights into boil-off gas removal, pressure management, evaporation/condensation, and compressor sizing/operation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00981354
Volume :
144
Database :
Academic Search Index
Journal :
Computers & Chemical Engineering
Publication Type :
Academic Journal
Accession number :
147295963
Full Text :
https://doi.org/10.1016/j.compchemeng.2020.107128