研究生: |
楊沛中 Pei-Chung Yang |
---|---|
論文名稱: |
雙面太陽能光電熱能複合系統之最佳化參數設計與實務驗證 Optimal Parameter Design and Practical Validation of Bifacial Photovoltaic Thermal Energy Composite System |
指導教授: |
郭中豐
Chung-Feng Jeffrey Kuo |
口試委員: |
黃昌群
Chang-Chiun Huang 張嘉德 Chia-Der Chang |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 自動化及控制研究所 Graduate Institute of Automation and Control |
論文出版年: | 2015 |
畢業學年度: | 103 |
語文別: | 中文 |
論文頁數: | 166 |
中文關鍵詞: | 變異數分析 、主成份分析 、本質轉換選擇消去法 、暫態系統模擬軟體 、田口方法 、垂直架設 、太陽能光電熱能複合系統 |
外文關鍵詞: | Bifacial, ELECTRE |
相關次數: | 點閱:250 下載:38 |
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本研究探討影響雙面太陽能光電熱能複合系統(Bifacial Photovoltaic and Thermal Composite Module, BPV/T)之最重要設置參數(含集熱器材質、集熱管數目、集熱管直徑、儲水桶容積/集熱板面積(Volume to Area,V/A)比、質量流率、循環溫度及系統方位角)對發電效率與儲熱效率之關係。
首先應用田口方法(Taguchi Method)進行實驗規劃,因應太陽運行軌跡與仰角位置,分別對每季做最佳化設置參數設計。首先利用測試軟體TRNSYS進行模擬並搭配主效果分析(Main Effect Analysis, MEA)與變異數分析(Analysis of Variance, ANOVA),分別檢視各項設置參數對各單品質(發電效率與儲熱效率)之影響程度,並求得各單品質最佳化設置參數組合。為考量發電效率與儲熱效率兩品質最佳化,運用多品質理論之主成份分析法(Principal Component Analysis, PCA)計算各品質特性之客觀權重值,結合本質轉換選擇消去法(Elimination Et Choice Translating Reality, ELECTRE)求出多品質最佳化設置參數組合,依據多品質最佳化設置參數組合進行實務驗證。
研究顯示,單品質與多品質最佳化設置參數組合,模擬測試均位於95%信賴區間內,實務驗證與模擬測試之發電效率與儲熱效率之最大誤差皆小於4.3%,模擬測試具有可靠度。
本研究評估設置容量1 kW之BPV/T、單面太陽能光電熱能複合系統(PV/T)及太陽能光電系統(PV)效益及佔地面積分析。BPV/T與PV/T系統比較:年發電量高13.7%、儲熱量高4.8%且回收年限少0.2年;與PV系統相較:年發電量高19.25%、年總產生能量多389%且回收年限少4.8年。以光電模組保固20年為基準,扣除建置成本經濟效益比較:BPV/T較PV/T系統多18%,較PV系統多460%;另佔地面積比較:BPV/T較PV與PV/T系統少11%,且單位面積總產生能量:BPV/T較PV/T系統高20%、較PV系統高210%。
This study discusses the relationship of the most important setup parameters (including collector material, number of heat collecting pipes, diameter of heat collecting pipe, Volume to Area(V/A) ratio, mass flow rate, cycle temperature and azimuth) influencing Bifacial Photovoltaic and Thermal Composite Module(BPV/T) to the electrical efficiency and heat storage efficiency.
First, the experiment is designed by Taguchi method. Optimized setup parameter combinations design is made for each quarter according to the track and elevation angle of sun. The testing software TRaNsient System Simulation(TRNSYS) is used for simulation and combined with Main Effect Analysis(MEA) and Analysis of Variance(ANOVA) to review the effect of various setup parameters on each single quality characteristic (electrical efficiency and heat storage efficiency), and to obtain various single quality characteristic optimized setup parameter combinations. Considering electrical efficiency and heat storage efficiency multiple quality characteristics optimization, the Principal Component Analysis(PCA) of multiple quality characteristics theory is used to calculate the objective weights of each properties, combined with Elimination Et Choice Translating Reality(ELECTRE) to work out the multiple quality characteristics optimized setup parameter combinations, practical validation is implemented according to multiple quality characteristics optimized setup parameter combinations.
It is observed that single quality characteristic and multiple quality characteristics optimized setup parameter combinations of simulation test are in the 95% confidence interval, the maximum error of electrical efficiency and heat storage efficiency and of practical validation and simulation test is less than 4.3%, simulation test has reliability.
This study analyzes the BPV/T, Photovoltaic(PV) and Photovoltaic and Thermal(PV/T) benefit and floor area of installed capacity 1 kW. Compared with PV/T, BPV/T has 13.7% higher annual power generation, 4.8% higher thermal storage capacity and 0.2 year shorter cost recovered years; compared with PV, annual power generation is higher by 19.25%, annual overall energy output is higher by 389% and cost recovered years is shorter by 4.8 years. Based on 20-year warranty of photovoltaic module, in terms of economic benefit deducting construction cost: BPV/T is higher than PV/T by 18%, higher than PV by 460%; comparison of floor area: BPV/T is less than PV and PV/T by 11%, and overall energy output per unit area: BPV/T is higher than PV/T by 20%, higher than PV by 210%.
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