文献
J-GLOBAL ID:201702236176266111
整理番号:17A1561521
非優越ソート遺伝的アルゴリズムを用いた共振器受光器を使用した太陽熱発電タワーを目的とした戦略の多目的最適化【Powered by NICT】
Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm
著者 (5件):
Wang Kun
(Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China)
,
He Ya-Ling
(Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China)
,
Xue Xiao-Dai
(State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)
,
Xue Xiao-Dai
(New Energy (Photovoltaic) Industry Research Center, Qinghai University, Xining 810016, China)
,
Du Bao-Cun
(Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China)
資料名:
Applied Energy
(Applied Energy)
巻:
205
ページ:
399-416
発行年:
2017年
JST資料番号:
A0097A
ISSN:
0306-2619
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)