完整後設資料紀錄
DC 欄位語言
dc.contributor.authorHuang, C. Y.en_US
dc.contributor.authorChen, H. J.en_US
dc.contributor.authorChan, C. C.en_US
dc.contributor.authorChou, C. P.en_US
dc.contributor.authorChiang, C. M.en_US
dc.date.accessioned2019-04-03T06:47:56Z-
dc.date.available2019-04-03T06:47:56Z-
dc.date.issued2011-01-01en_US
dc.identifier.issn1876-6102en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.egypro.2011.10.072en_US
dc.identifier.urihttp://hdl.handle.net/11536/135556-
dc.description.abstractBuilding integrated photovoltaic is an art and trend using PV module to replace building material on the outer wall. The semi-transparent c-Si PV module is installed to replace the tiled roof in this study. PV power generation prediction is follow with module performance, installation site and meteorological data. A simple model is created to simulate the power output using PV module thermal model. PV module thermal model is the relation of the module temperature, ambient temperature and solar radiation. In the present study, two parameter linearly regression model is to simulate the power generation in BIPV system. The monthly root-mean-square error (RMSE) is about 4.7%. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of University of Electronic Science and Technology of China (UESTC).en_US
dc.language.isoen_USen_US
dc.subjectphotovoltaicen_US
dc.subjectPVen_US
dc.subjectsimulationen_US
dc.subjectBuilding Integrated Photovoltaicen_US
dc.subjectBIPVen_US
dc.titleThermal Model Based Power-Generated Prediction by Using Meteorological Data in BIPV Systemen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1016/j.egypro.2011.10.072en_US
dc.identifier.journalPROCEEDINGS OF INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE 2011)en_US
dc.citation.volume12en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000300039900070en_US
dc.citation.woscount4en_US
顯示於類別:會議論文


文件中的檔案:

  1. 79e564b15644e9a42ce1ad108df38241.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。