个人信息Personal Information
副教授
硕士生导师
教师拼音名称:Liang Yingzong
入职时间:2018-12-27
所在单位:材料与能源学院
职务:Associate Professor
联系方式:yliang@gdut.edu.cn
在职信息:在职
主要任职:Associate Professor
其他任职:Associate Professor
毕业院校:The Hong Kong University of Technology
学科:工程热物理
Superstructure-based mixed-integer nonlinear programming framework for hybrid heat sources driven organic Rankine cycle optimization
点击次数:
影响因子:11.2
DOI码:10.1016/j.apenergy.2021.118277
发表刊物:Applied Energy
摘要:Organic Rankine cycle (ORC) is a promising technology capable of harnessing low-grade energy, e.g. renewable energy and waste heat, and converting it into electricity. Conventional ORC often operates with single heat source, which can be unfavorable to its efficiency due to the poor matching between its working fluid and heat source. Implementing hybrid heat sources is generally more energy-efficient as multiple heat sources can effectively match with the working fluid, however, the design can be a challenging task. This study proposes a superstructure-based method for the ORC design that simultaneously synthesizes heat exchanger network for hybrid heat sources and working fluid, and optimizes the ORC and heat sources' parameters. A mixed-integer nonlinear programming model is formulated to achieve the simultaneous optimization. We also develop a tailored multi-step initialization algorithm to facilitate the optimization. The model is applied to the design and analysis of ORCs driven by solar energy and waste heat with four different working fluids. Results demonstrate that the hybrid heat source-driven ORC improves the system performance. Cyclohexane is found to be the optimal working fluid for the proposed ORC system with a 48.19% increase in net power output compared with the single heat source-driven ORCs running separately.
合写作者:Jianyong Chen,Zhi Yang,Chao Wang,Ying Chen
第一作者:Zheng Liang
论文类型:期刊论文
通讯作者:Yingzong Liang,Xianglong Luo
卷号:307
页面范围:118277
是否译文:否
发表时间:2022-02-01
收录刊物:SCI