中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
自动跟踪槽式线聚焦太阳能集热器研究

文献类型:学位论文

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作者陈维
学位类别硕士
答辩日期2003
授予单位中国科学院广州能源研究所
授予地点广州能源研究所
导师李戬洪
关键词槽式线聚焦 太阳能集热器 跟踪控制系统
其他题名STUDY ON THE AUTOMATIC TRACKING PARABOLIC TROUGH LINE-FOCUSING SOLAR COLLECTOR
学位专业热能工程
中文摘要By applying the model that has been built in this paper, and by using MATLAB to deal with the data, the figures of Irradiance variation different solar terms in Guangzhou and Variety of day beam irradiation for different tracking modes in Guangzhou and Beijing can be worked out. Optical performance analysis for parabolic-trough focusing collector with several tracking modes is accomplished. A few of common problems met in work is discussed. This paper sorts tracker controller methodologies in utilization of solar energy into close loop, open loop, and hybrid. By relations between hour angle and the tracking angle of several tracking modes with one axis, selecting for controller methodologies of several tracking modes with one axis are acquired. By using MATLAB to deal with data, tlie figures of relations between hour angel and tlie tracking angle of horizontal N/S tracking can be worked out, and at this time feasibility and applicability of hybrid tracking control system are analyzed. Merits and demerit of several tracker controller methodologies are studied and summarized, and characteristic and applicability of them are researched. In the experimental study, some light-dependent resistors that had been used in tlie control system were studied, and a parabolic-trough system of horizontal N/S tracking mode was also constructed and study. This new device has adopted the hybrid control mode .At last from those data of the experiment the device performance is close to theoretic expects.
语种中文
公开日期2011-07-06 ; 2011-07-08
页码59
源URL[http://ir.giec.ac.cn/handle/344007/3863]  
专题中国科学院广州能源研究所
推荐引用方式
GB/T 7714
陈维. 自动跟踪槽式线聚焦太阳能集热器研究, STUDY ON THE AUTOMATIC TRACKING PARABOLIC TROUGH LINE-FOCUSING SOLAR COLLECTOR[D]. 广州能源研究所. 中国科学院广州能源研究所. 2003.

入库方式: OAI收割

来源:广州能源研究所

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