面對全球能源轉型浪潮與台灣 2050 淨零排放政策目標，太陽能光電產業發展重心已從單純追求裝置容量極大化，逐步轉向土地利用效率與投資報酬率 (IRR) 的精細化管理。然而，在大型地面型太陽能電場（特別是農漁電共生類型）的工程設計中，支架高度與模組傾角往往受限於土地複合利用之實務需求，迄今缺乏系統性的經濟最佳化評估方法論。
本研究以亞太地區領先之再生能源開發商——ABC 能源股份有限公司 (ABC Energy) 位於台灣中南部之大型案場為實證對象，運用 2023 年 6 月至 2024 年 12 月期間超過 200 萬筆分鐘級 SCADA 實測數據，結合美國國家再生能源實驗室 (NREL) 熱模型與流體力學邊界層理論，建構涵蓋氣候風險（環境溫度變異）與維運不確定性（積塵損失）之蒙地卡羅模擬模型。
本研究證實支架越高則獲利越低，為符合「農電共生」法規要求的高度（4.5公尺），預期報酬率將比一般開發方案減少1.94%，這明確量化了合規的代價。在面板設計上，雖然10度傾角的結構成本略高，但其增加的日照增益足以補回成本，在各種情境下都比8度方案更具財務優勢。值得注意的是，落塵損失是影響獲利最關鍵的風險因子，貢獻了高達64%的收益波動，特別是在乾旱年份對收益的衝擊遠大於氣溫或日照變化。最終結果顯示，農漁電共生方案（10度傾角搭配4.5公尺高度）雖然報酬率略降，但其報酬風險比極佳，且具備「免申請雜項執照」的行政便利，是兼顧開發效率與財務穩健的最佳選擇。本成果不僅驗證了ABC能源(股)公司現行設計的合理性，更為未來農漁電共生案場建立了一套兼顧法規與經濟效益的決策框架。

Amidst the global energy transition and Taiwan’s 2050 Net-Zero emissions targets, the solar photovoltaic (PV) industry has shifted its focus from maximizing installed capacity to the precise management of land-use efficiency and Internal Rate of Return (IRR). However, in the engineering design of large-scale ground-mounted PV systems—particularly agrivoltaics models—parameters such as mounting height and tilt angle are often constrained by dual land-use requirements. To date, a systematic methodology for economic optimization under such constraints has been lacking.
This study conducts an empirical analysis of a large-scale project in Central and Southern Taiwan developed by ABC Energy, a leading renewable energy developer in the Asia-Pacific region. Using over two million minute-level SCADA data points from June 2023 to December 2024 and integrating the NREL thermal model with boundary-layer fluid dynamics, this research constructs a Monte Carlo simulation model that accounts for climate risks (ambient temperature variance) and operational uncertainties (soiling loss).
The results demonstrate that mounting height is inversely correlated with profitability. Specifically, complying with the 4.5-meter height requirement for agrivoltaics results in a 1.94% reduction in expected IRR, effectively quantifying the "cost of compliance." Regarding panel design, although a 10-degree tilt incurs slightly higher structural costs than an 8-degree setup, the resulting irradiance gains optimize overall financial performance across all scenarios. Notably, soiling loss was identified as the most critical risk factor, contributing to 64% of yield variance; its impact during dry years significantly outweighs that of temperature or irradiance fluctuations. Ultimately, the agrivoltaics configuration (10° tilt at 4.5m height) proves to be the optimal choice. Despite a marginal reduction in absolute returns, it offers an exceptional risk-reward ratio and the administrative advantage of being exempt from miscellaneous licenses, striking the best balance between development efficiency and financial resilience. These findings not only validate the rationality of ABC Energy’s current design decisions but also provide a quantitative decision-making framework for future agrivoltaics and fisher-solar projects.

中文文獻
立法院（2023）。再生能源發展條例。全國法規資料庫。
台灣電力公司（2024）。再生能源發電系統併聯技術要點。台灣電力公司。
交通部中央氣象署（2024）。氣象觀測資料查詢系統。https://e-service.cwa.gov.tw/
行政院農業委員會（2023）。農業用地作農業設施容許使用審查辦法。行政院農業委員會（現農業部）。
經濟部能源局（2023）。太陽光電發電系統設置技術規範。經濟部（現經濟部能源署）。
經濟部能源署（2024）。中華民國一百十三年度再生能源電能躉購費率及其計算公式。經濟部。

英文文獻
Chang, T. P. (2010). The study of the optimal tilt angle of solar collector in Taiwan. Energy, 35(2), 1098-1101.
Dobos, A. P. (2024). System Advisor Model (SAM) and PVWatts calculator: Technical description (NREL Report). National Renewable Energy Laboratory.
Duffie, J. A., & Beckman, W. A. (2013). Solar engineering of thermal processes (4th ed.). John Wiley & Sons.
International Electrotechnical Commission. (2021). IEC 61724-1:2021 Photovoltaic system performance - Part 1: Monitoring. IEC.
International Energy Agency. (2023). World energy outlook 2023. OECD/IEA.
International Renewable Energy Agency. (2022). Renewable power generation costs in 2021. IRENA. https://www.irena.org/publications/2022/Jul/Renewable-Power-Generation-Costs-in-2021
Jordan, D. C., & Kurtz, S. R. (2013). Photovoltaic degradation rates—An analytical review. Progress in Photovoltaics: Research and Applications, 21(1), 12-29.
King, D. L., Boyson, W. E., & Kratochvil, J. A. (2004). Photovoltaic array performance model (SAND2004-3535). Sandia National Laboratories.
Mani, M., & Pillai, R. (2010). Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations. Renewable and Sustainable Energy Reviews, 14(9), 3124-3131.
Marion, B., Adelstein, J., Boyle, K., Hayden, H., Hammond, B., Fletcher, T., Canada, S., & Townsend, T. (2005). Performance parameters for grid-connected PV systems. Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 1601-1606.
Marion, B. (2010). Overview of the PV module model in PVWatts (NREL/CP-520-49607). National Renewable Energy Laboratory.
Mekhilef, S., Saidur, R., & Kamalisarvestani, M. (2012). Effect of dust, humidity and air velocity on efficiency of photovoltaic cells. Renewable and Sustainable Energy Reviews, 16(5), 2920-2925.
National Renewable Energy Laboratory. (2023). Best practices for operation and maintenance of photovoltaic and energy storage systems (NREL/TP-7A40-73822). NREL.
Oracle Corporation. (2021). Oracle Crystal Ball user's guide, release 11.1.2.4. Oracle.
Perez, R., Ineichen, P., Seals, R., Michalsky, J., & Stewart, R. (1990). Modeling daylight availability and irradiance components from direct and global irradiance. Solar Energy, 44(5), 271-289.
Ross, R. G. (1976). Interface design considerations for terrestrial solar cell modules. Conference Record of the Twelfth IEEE Photovoltaic Specialists Conference, 801-806.
Sarver, T., Al-Qaraghuli, A., & Kazmerski, L. L. (2013). A comprehensive review of the impact of dust on the use of solar energy: History, investigations, results, literature, and mitigation approaches. Renewable and Sustainable Energy Reviews, 22, 698-733.
Skoplaki, E., & Palyvos, J. A. (2009). On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar Energy, 83(5), 614-624.
Taguchi, G. (1986). Introduction to quality engineering: Designing quality into products and processes. Asian Productivity Organization.