文献
J-GLOBAL ID:201902262171864399
整理番号:19A1942665
多変量COGGINSステップアップアプローチを用いた混合流体カスケードLNGプロセスの最適化:全体圧縮電力低減とエクセルギー損失解析【JST・京大機械翻訳】
Optimization of mixed fluid cascade LNG process using a multivariate Coggins step-up approach: Overall compression power reduction and exergy loss analysis
著者 (7件):
Nawaz Alam
(School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea)
,
Qyyum Muhammad Abdul
(School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea)
,
Qadeer Kinza
(School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea)
,
Khan Mohd Shariq
(Department of Chemical Engineering, Dhofar University, Salalah 211, Oman)
,
Ahmad Ashfaq
(Department of Computer Science, COMSATS University Islamabad (CUI), Lahore Campus, Defense Road, Off Raiwind Road, Lahore, Pakistan)
,
Lee Sanggyu
(Gas Plant R&D Center, Korea Gas Corporation, Incheon 406-130, Republic of Korea)
,
Lee Moonyong
(School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea)
資料名:
International Journal of Refrigeration
(International Journal of Refrigeration)
巻:
104
ページ:
189-200
発行年:
2019年
JST資料番号:
H0157B
ISSN:
0140-7007
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)