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  • 學位論文

大型太陽光電發電系統之模擬與性能驗證

Simulation and Verification Performance of Large-scale Photovoltaic Power Generation Systems

指導教授 : 呂文隆

摘要


本文使用PVsyst模擬軟體,分析及驗證972.3kWp及499.8kWp兩個大型太陽光電發電系統的發電性能,其中972.3kWp案場位於湖口,499.8kWp案場位於麥寮。PVsyst模擬所需要的氣象參數是以模擬軟體內建的氣象參數及案場實際監測的氣象參數進行模擬,模擬結果再與實際發電量、發電性能比值計算誤差百分比,以瞭解模擬值與實際值之差異,藉以修正模擬參數及作為系統設計之參考。本文以現行躉購費率及太陽光電發電系統建置成本完成經濟效益評估,以計算太陽光電發電系統之回收年限。 經過PVsyst模擬的結果,972.3kWp案場在簡易設置條件下,以實際氣象參數模擬發電量誤差百分比為0.944%,以內建氣象參數模擬發電量誤差百分比為0.989%,加入3D模型圖後,以實際擬氣象參數模數發電量誤差百分比為0.736%,以內建氣象參數模擬發電量誤差百分比為2.901%,499.8kWp案場在簡易設置條件下,以實際氣象參數模擬發電量誤差百分比為-0.591%,以內建氣象參數模擬發電量誤差百分比為-3.161%,加入3D模型圖後,以實際氣象參數模擬發電量誤差百分比為0.071%,以內建氣象參數模擬發電量誤差百分比為-4.407%,兩個案場皆是以實際監測氣象參數的模擬結果較接近實際的發電量,本研究結果可作為太陽光電發電系統設置及性能評估之參考。

並列摘要


This paper uses PVsyst simulation software to analyze and verify the power generation performance of two large photovoltaic systems of 972.3kWp and 499.8kWp. The 972.3kWp case is located in Zhudong, and the 499.8kWp case is located in Maitun. Simulate the required meteorological data, using built-in meteorological data and actual monitored meteorological data, Using the actual power generation and power generation performance ratio to compare the simulation results, the difference between the simulation results and the actual monitoring can provide a reference for the simulation parameter correction and system design. In this paper, the current purchase rate and the cost of photovoltaic power generation system construction are used to evaluate the economic benefits, and the evaluation results are used to calculate the recovery period of the photovoltaic power generation system. The PVsyst software simulation results, the 972.3kWp case is set at the simple model of the actual meteorological parameters simulated, the percent deviation of power generation is 0.944%, the built-in meteorological parameter simulation power generation percent deviation is -0.989%. After adding the 3D model map, the percent deviation of power generation with actual meteorological parameters simulated is 0.736%, the built-in meteorological parameters simulated the power generation percent deviation is 2.901%. The 499.8kWp case is set at the simple model of the actual meteorological parameters simulated, the percent deviation of power generation is -0.591%, the built-in meteorological parameter simulation power generation percent deviation is -3.116%. After adding the 3D model map, the actual meteorological parameter simulated power generation percent deviation is 0.071%, the built-in meteorological parameters simulated the power generation percent deviation is -4.407%, using the actual monitoring meteorological parameters to simulate this case, the percent deviation of the average power generation and the actual power generation is 0.071%. Comparing the simulation results, both cases are the actual simulation results of the meteorological parameters are closer to the actual power generation. The results of this study can be used as a reference for solar photovoltaic system setup and performance evaluation.

參考文獻


[1] 台灣電力公司,歷年太陽光電累計裝置容量,網址: https://www.taipower.com.tw/,2019年5月27日。
[2] 台灣電力公司,歷年裝置容量結構及再生能源占比,網址: https://www.taipower.com.tw/,2019年5月27日。
[3] 台灣電力公司,近十年再生能源發購電量結構,網址: https://www.taipower.com.tw/,2019年5月27日。
[4] 謝建晟,“高效率 HJT 及 PERC 太陽光電發電系統之模擬、監測與分析”,健行科技大學,碩士論文,中華民國 107 年 7 月。
[5] 經濟部能源局,107年度再生能源電能躉購費率審定會太陽光電分組第 3 次會議紀錄,網址: https://www.moeaboe.gov.tw,2018年10月25日。

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