<strong>CFD-subset-FVM-based MATLAB-simulation of heat transfer in high grade cold storage augmenting cryogenic energy storage system by circulating natural gas as working fluid</strong>
Online Publishing @ NISCAIR
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Title Statement |
<strong>CFD-subset-FVM-based MATLAB-simulation of heat transfer in high grade cold storage augmenting cryogenic energy storage system by circulating natural gas as working fluid</strong> |
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Added Entry - Uncontrolled Name |
Raj, A Kanni; Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology |
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Uncontrolled Index Term |
Engineering : Thermodynamics & Energy Storage Cold storage; FVM; CFD; MATLAB; Cryogenic energy storage; Natural gas; Energy |
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Summary, etc. |
<p><span>Cryogenic Energy Storage (CES) improves power grid with renewable intermittent power sources. In CES, off-peak excess electricity liquefies air or natural gas. Cryogen is stored in large dewar tanks for long periods of time. Whenever electricity need is in peak, work is recovered from cryogen by a power cycle using waste heat. Many researchers focus on liquid air energy storage (LAES). But, natural gas is promising working fluid for CES. This paper reviews a natural gas-based CES system, coupled with a high grade cold storage (HGCS) unit. Cold that is stored at a low temperature has been used to raise efficiency and hike yield of liquefier. This paper models HGCS unit and compares output with experimental data. Impact of cold recycling has been analyzed for liquefier yield and storage efficiency.</span></p> |
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Publication, Distribution, Etc. |
Applied Innovative Research (AIR) 2020-10-19 13:35:33 |
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Electronic Location and Access |
http://op.niscair.res.in/index.php/AIR/article/view/27967 |
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Data Source Entry |
Applied Innovative Research (AIR); ##issue.vol## 2, ##issue.no## 2 (2020): Applied Innovative Research |
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Language Note |
en |
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Terms Governing Use and Reproduction Note |
Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India© 2019. The Council of Scientific & Industrial Research, New Delhi. |
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