Numerical investigation on the operation and energy demand of a seven-stage metal hydride hydrogen compression system for Hydrogen Refuelling Stations

RENEWABLE ENERGY

卷:147

Article

Gkanas, Evangelos I.^1,3  Christodoulou, Christodoulos N.^2,4  Tzamalis, George^2,3  Stamatakis, Emmanuel³  Chroneos, Alexander¹  Deligiannis, Konstantinos^2,3  Karagiorgis, George²  Stubos, Athanasios K.³ 

[1] Coventry Univ, Inst Future Transport & Cities, Mat & Proc Energy Needs Res Grp, Hydrogen Mobil Lab, Priory St, Coventry CV1 5FB, W Midlands, England

[2] HYSTORE Technol Ltd, RES&H2 Dept, Ergates Ind Area, 30 Spyrou Kyprianou, CY-2643 Nicosia, Cyprus

[3] Natl Ctr Sci Res Demokritos, Aghia Paraskevi 15341, Attica, Greece

[4] Frederick Univ, 7 Y Frederickou Str, CY-1036 Nicosia, Cyprus

关键词: Metal hydride hydrogen compressor;    Multi-stage compression;    Hydrogen storage;    Metal hydrides;    Numerical analysis;   

DOI  :  10.1016/j.renene.2019.08.104

来源: Elsevier

【 摘 要 】

In the present work, a numerical analysis on the performance of a seven-stage metal hydride hydrogen compression (MHHC) system is introduced, presented and discussed. The operation efficiency and cost along with the reliability of hydrogen compression is of great importance for the future commercial availability of Hydrogen Refuelling Stations (HRS): thus, significant improvements in hydrogen compression must be achieved and novel methods and approaches are being investigated in that respect. MHHC's offer distinct advantages over conventional mechanical compressors and the present paper aims at contributing to the efficient design and upscaling of such device via advanced numerical simulations of a seven-stage MHHC. The numerical model was supported by and validated with solid experimental data. Furthermore, several different operational temperature ranges for the compressor were examined and the importance of the proper operation conditions is discussed in terms of temperature evolution, pressure profile, cycle duration, compression ratio, thermal energy demand and efficiency. (C) 2019 Published by Elsevier Ltd.

【 授权许可】

Free