Design, and optimization of COVID-19 hospital wards to produce Oxygen and electricity through solar PV panels with hydrogen storage systems by neural network-genetic algorithm.

导出 LinkOut

翻译打印收藏纠错

作者： Ali,Izadi ^[1] ; Masoomeh,Shahafve ^[1] ; Pouria,Ahmadi ^[2] ; Pedram,Hanafizadeh ^[1]

作者单位： School of Mechanical Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran. ^[1] Department of Computational Engineering, Ruhr University Bochum, P.O.Box 44801, Bochum, Germany. ^[2]

关键词 COVID-19 Hospital Hybrid renewable energy system Hydrogen energy storage Oxygen production Photovoltaic panels

DOI 10.1016/j.energy.2022.125578

PMID 36189102

发布时间 2022-12-27

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Energy (Oxford, England)

2023年263卷

125578页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Design, and optimization of COVID-19 hospital wards to produce Oxygen and electricity through solar PV panels with hydrogen storage systems by neural network-genetic algorithm.

Energy (Oxford, England)

相似文献

Energy (Oxford, England)

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Design, and optimization of COVID-19 hospital wards to produce Oxygen and electricity through solar PV panels with hydrogen storage systems by neural network-genetic algorithm.

Energy (Oxford, England)

相似文献

Energy (Oxford, England)

相关期刊

检索历史清除