本研究主要是對奈米流體-相變化-太陽能光電熱複合模組進行製程參數最佳化。本研究在傳統太陽能光電熱（Photovoltaic/thermal system，PV/T）模組的基礎上，加入相變化材料（Phase change material，PCM）以及奈米流體以提高PV/T模組的發電效率與儲熱效率。同時利用田口方法與灰關聯分析法，探究模組的十個參數：PCM材料、工作流體種類、工作流體質量流率、模組傾斜角度、集熱管數量、集熱管徑、方位角、水箱容積/集熱板面積(Volume to area，V/A)比、集熱板厚度、集熱板材料對系統的發電效率與儲熱效率的影響，並找到一組最佳的參數配置。
本研究主要使用TRNSYS模擬軟體對PV/T複合模組進行建模分析。選擇實驗需要的相變化材料（有機石蠟）與奈米流體（CuO、Al2O3奈米流體）後，首先建立TRNSYS模型，並利用田口方法（Taguchi method）進行實驗規劃，配置L36（21×39）直交表進行實驗，配合主效果分析與變異數分析，探究每個控制因子對兩個品質特性（發電效率與儲熱效率）的影響，進而得到兩個單品質最佳化參數配置。再利用多品質最佳化理論之灰關聯分析法（Grey relational analysis），得到多品質最佳化的參數配置，最後按照此最佳化配置進行實際驗證確認結果的可靠程度。
結果顯示，傳統PV/T模組的發電效率為12.74%，儲熱效率為34.06%，而經本研究最佳化後，奈米流體-相變化-太陽能光電熱複合模組的發電效率為14.958%， 儲熱效率為64.764%。相較於傳統PV/T系統，發電效率提高了2.218%，儲熱效率提高了30.704%。單品質與多品質的最佳化參數組合的確認實驗結果均落在95%信賴區間之內，證明最佳化結果可靠並具有可再現性，同時實際驗證與模擬實驗的結果誤差皆小於5%，證明模擬測試具有可信度。

This study is to optimize the nanofluid-phase change-photovoltaic/ thermal system. In this study, phase change material (PCM) and nanofluid are added to the conventional photovoltaic/thermal system (PV/T) to improve the electrical efficiency and heat storage efficiency of PV/T system. Taguchi method and gray relational analysis are used to find the effects of ten parameters of the system: PCM, fluid type, mass flow rate, module tilt angle, number of collector tubes, collector tube diameter, azimuth, Volume to Area (V/A) ratio, collector plate thickness, and collector plate material on the electrical efficiency and heat storage efficiency of the system, and to find a best parameter combination.
In this study, the PV/T system is modeled and analyzed by TRNSYS. After selecting the phase change material (organic paraffin) and nanofluid (CuO, Al2O3) ,build TRNSYS model and design the experiment by Taguchi method. Set up L36 (21×39) orthogonal array for experiment, combined with main effect analysis and analysis of variance to find the effect of various set up parameters on two 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, gray relational analysis is used to find out the multiple quality characteristics optimized setup parameter combinations. Finally, practical validation is implemented according to multiple quality characteristics optimized setup parameter combinations.
It is observed that the electrical efficiency of the conventional PV/T module is 12.74% and the heat storage efficiency is 34.06%. After the optimization of this study, the electrical efficiency of the nanofluid-phase change-photovoltaic/thermal system is 14.958% and the heat storage efficiency is 64.764% . Compared with the conventional PV/T system, the electrical efficiency is increased by 2.218% and the heat storage efficiency is increased by 30.704%. Single quality characteristic and multiple quality characteristics optimized setup paramter combinations of simulation test are in 95% confidence interval,the maximum error of electrical efficiency and heat storage efficiency and of practical validation and simulation test is less than 5%,simulation test has reliability.

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