ソーラーパネル出力の計算

📐 The Foundational Solar Output Equation

A widely used formula to estimate the energy output of a photovoltaic (PV) system is the following [1]:$$\mathrm{それ}=A<span\; class="tr\_"\; id="tr\_3"\; data-source=""\; data-orig="\times ">\times </span>r<span\; class="tr\_"\; id="tr\_4"\; data-source=""\; data-orig="\times ">\times </span>H<span\; class="tr\_"\; id="tr\_5"\; data-source=""\; data-orig="\times ">\times </span>PR$$

しかしながら, to better integrate your specific variables, we can expand this into a more detailed form, commonly used for system sizing and implemented in recognized models like NREL’s PVWatts [4]:$$P_{Pで}=H_{T私私T}<span\; class="tr\_"\; id="tr\_9"\; data-source=""\; data-orig="\times ">\times </span>P_{のT\mathrm{C言語}}<span\; class="tr\_"\; id="tr\_10"\; data-source=""\; data-orig="\times ">\times </span>F_{TとMP}<span\; class="tr\_"\; id="tr\_11"\; data-source=""\; data-orig="\times ">\times </span>F_{\mathrm{ザ·}THとr}$$​

Let’s define each term in this expanded equation [4, 8]:

• P_pv​ : The total energy output (in kWh) over a given period (例えば, daily, monthly, or annually) or the power output (in W) [4].
• P_stc​ : The total rated power of your solar array (in kWdc) under Standard Test Conditions (STC: irradiance of 1000 W/㎡, cell temperature of 25°C) [1, 4]. This is the “size” of your system.
• H_傾ける​ : The daily, monthly, or annual solar irradiation (in kWh/m²) on the plane of your solar array (Plane of Array or POA). This is where latitude と panel angle are used to calculate the sunlight your specific setup receives [5, 7].
• F_temp​ : The temperature derating factor (a decimal between 0 と 1). This accounts for the loss in efficiency as the solar panel’s cell temperature rises above 25°C [1, 2, 8].
• F_other​ : A combined factor for all other system losses (a decimal between 0 と 1). This includes soiling (dust), シェーディング, wiring losses, inverter efficiency, and more [1, 4].

🔍 Breaking Down the Key Components

To make this equation work, you need to determine the specific values for$H_{T私私T}$HT私LT​ and$F_{TとMP}$FTとMP​.

1. Irradiation on a Tilted Surface ($H_{T私私T}$)

This is the most complex part, as it combines your location (latitude) and panel angle. The annual optimal fixed tilt angle for a location is often approximated by its latitude [5]. しかしながら, for maximum accuracy, a more nuanced approach is needed.

• Fixed Tilt Angle: ザ “golden rule” is to set the tilt angle equal to your latitude. 例えば, at a latitude of 35°N, panels are often installed with a 35° tilt [5].
• Calculating H_傾ける​: Manually calculating the irradiation on a tilted plane is complex. It requires splitting horizontal solar radiation data into its direct and diffuse components and then transposing them to the tilted plane [7]. このため, professionals use tools like the European Commission’s PVGIS (Photovoltaic Geographical Information System) [3] or NREL’s PV ワット in the United States [4]. By inputting your location (latitude/longitude), panel tilt, and orientation (方位角), these tools provide an accurate value for $H_{T私私T}$Htilt​. More recent approaches even use machine learning to improve the accuracy of these estimates compared to traditional isotropic models [7].

2. The Temperature Derating Factor ($F_{TとMP}$FTとMP​)

Solar panels operate less efficiently as they get hot. This factor corrects for this effect [1, 2]. The formula, implemented in models like PVWatts, 以下のとおりである [4, 8]:

$$F_{TとMP}=1+[\mathrm{<span\; class="tr\_"\; id="tr\_90"\; data-source=""\; data-orig="\gamma ">\gamma </span>}<span\; class="tr\_"\; id="tr\_91"\; data-source=""\; data-orig="\times ">\times </span>(T_{\mathrm{C言語}と私私}-T_{のT\mathrm{C言語}})]$$

• γ : The power temperature coefficient provided by the manufacturer. For crystalline silicon, it is typically expressed in %/℃で and is negative [6, 10].
• T_cell​ : The estimated operating cell temperature (℃で). More sophisticated models also account for wind speed and irradiance [1, 9].
• T_stc​ : The cell temperature at standard test conditions (STC), which is always 25℃で [4].

例えば, according to industry data, for a module with$\mathrm{<span\; class="tr\_"\; id="tr\_106"\; data-source=""\; data-orig="\gamma ">\gamma </span>}=-0.4\mathrm{\%}\mathrm{/}\mathrm{°}℃$γ=−0.4%/°℃, $T_{\mathrm{C言語}と私私}=65\mathrm{°}℃$Tcell​=65°℃, と$T_{のT\mathrm{C言語}}=25\mathrm{°}℃$Tstc​=25°℃, the power loss is significant [6]. The calculation is:$$F_{TとMP}=1+[-0.004<span\; class="tr\_"\; id="tr\_115"\; data-source=""\; data-orig="\times ">\times </span>(65-25)]=1+(-0.16)=0.84$$

This means the panel is operating at only 84% of its rated power due to the high temperature.

Typical Temperature Coefficient ($\mathrm{<span\; class="tr\_"\; id="tr\_119"\; data-source=""\; data-orig="\gamma ">\gamma </span>}$γ) Values

The table below presents typical values for different panel technologies, based on research and industry data [2, 6, 10]:

Panel Technology	Typical Temperature Coefficient ($\mathrm{<span\; class="tr\_"\; id="tr\_126"\; data-source=""\; data-orig="\gamma ">\gamma </span>}$γ)	注釈
Monocrystalline Silicon (Older BSF)	-0.45% へ -0.50% /℃で	Older technology with higher temperature losses [6].
Monocrystalline Silicon (Modern PERC)	-0.35% へ -0.40% /℃で	Common technology with improved performance [6].
Monocrystalline Silicon (N-type TOPCon)	-0.29% へ -0.35% /℃で	Advanced technology with a very good coefficient [6].
Monocrystalline Silicon (HJT – Heterojunction)	-0.25% へ -0.30% /℃で	Premium technology with the best coefficient [6].
Polycrystalline Silicon	-0.40% へ -0.50% /℃で	Older technology, generally higher coefficient [6].
Thin-Film (CdTe)	-0.24% へ -0.25% /℃で	Very good performance in heat [6].
Field-Aged Modules	-0.5% /℃で (for ηm)	Measurements on aged modules confirm these orders of magnitude [2].

3. Other Derating Factors ($F_{\mathrm{ザ·}THとr}$Fザ·THer​)

This is a catch-all for real-world inefficiencies. A typical value for a well-designed system might be around0.75 へ 0.85 [1]. You can calculate it by multiplying individual factors together [4].

💡 A Practical Example

Let’s combine these for a simplified annual estimate for a1 kWdc system using the PVWatts formula [4, 8].

1. Array Power (P_stc​): 1 kWdc
2. Tilted Irradiation (H_傾ける​): Let’s assume you’ve used an online tool like PVGIS [3] for your specific latitude and chosen tilt. The tool outputs an annual H_傾ける​ の 1700 kWh/m².
3. Temperature Factor (F_temp​): Based on your local climate and panel specifications (例えば, $\mathrm{<span\; class="tr\_"\; id="tr\_171"\; data-source=""\; data-orig="\gamma ">\gamma </span>}=-0.4\mathrm{\%}\mathrm{/}\mathrm{°}℃$γ=−0.4%/°℃ [6]), you calculate an average annual $F_{TとMP}$ftemp​ of 0.90.
4. Other Losses (F_other​): You estimate a combined factor of 0.80 for inverter losses, soiling, wiring, 等. [1, 4].

Your estimated annual energy output ($P_{Pで}$PPで​) would be [4]:$$P_{Pで}=1\text{ <span class="tr\_" id="tr\_185" data-source="" data-orig="kWdc">kWdc</span>}<span\; class="tr\_"\; id="tr\_186"\; data-source=""\; data-orig="\times ">\times </span>1700\text{ <span class="tr\_" id="tr\_187" data-source="" data-orig="kWh/m²">kWh/m²</span>}<span\; class="tr\_"\; id="tr\_188"\; data-source=""\; data-orig="\times ">\times </span>0.90<span\; class="tr\_"\; id="tr\_189"\; data-source=""\; data-orig="\times ">\times </span>0.80=1224\text{ キロワット時}$$PPで​=1 kWdc×1700 kWh/m²×0.90×0.80=1224 kWh

This means your 1 kWdc system is expected to generate about 1224 kWh of electricity per year under these conditions.

🧠 Recommendations for the Most Accurate Results

• Use Professional Tools: For the most reliable $H_{T私私T}$​ values, I strongly recommend using established tools like PVGIS [3] または PV ワット [4]. They handle the complex geometry of sun position and radiation conversion for you [7].
• Consult the Datasheet: The most accurate value for the temperature coefficient ($\mathrm{<span\; class="tr\_"\; id="tr\_202"\; data-source=""\; data-orig="\gamma ">\gamma </span>}$γ) will always come from the manufacturer’s datasheet for the specific solar panel model you are using [6, 10]. Look for “Temperature Coefficient of Pmax” または “Power Temperature Coefficient”.
• Gather Quality Input Data: The accuracy of your equation depends on your inputs. Use site-specific data for average temperatures and the exact technical details of your panels [1, 2, 9].

📚 Reference List

[1] MDPI (2022). Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model.MDPI

[2] NIH (2023). テーブル 3: Average temperature coefficients of the 3 field-aged PV modules.Heliyon

[3] Scilit (undated). PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe.Scilit

[4] NREL (2013). PVWatts Version 1 Technical Reference.国立再生可能エネルギー研究所 (NREL)

[5] Hugging Face (undated). Fiacre/PV-system-expert-500 · Datasets.Hugging Face

[6] Tongwei (2025). モノシリコンソーラーパネルの効率丨温度係数, 低照度パフォーマンス, 減衰率。通威株式会社, 株式会社.

[7] エネルギー変換と管理 (2024). 水平測定値から傾斜面の月間日射量を推定するための汎用ツール: 機械学習のアプローチ。エネルギー変換と管理

[8] pvlib-python ドキュメント (undated). pvlib.pvsystem.pvwatts_dc。ドキュメントを読む

[9] UNTデジタルライブラリー (1981). 太陽光発電と熱を組み合わせたシステムの分析および実験システムの研究. 技術状況レポート いいえ. 12. ノース テキサス大学

[10] IEEE (1997). PV モジュールとアレイの温度係数: 測定方法, 困難, そして結果。第26回IEEE太陽光発電専門家会議の会議記録