태양광 패널 출력 계산

solar panel output calculations

📐 The Foundational Solar Output Equation

A widely used formula to estimate the energy output of a photovoltaic (PV) system is the following [1]:그것=A×r×H×R

그러나, 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]:=H나는l×에스C×에프×에프oHr

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

  • pv : The total energy output (in kWh) over a given period (예를 들면, daily, monthly, or annually) or the power output (in W) [4].
  • stc : The total rated power of your solar array (in kWdc) under Standard Test Conditions (STC: irradiance of 1000 W/m², cell temperature of 25°C) [1, 4]. This is thesizeof your system.
  • H경사 : 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 latitudepanel angle are used to calculate the sunlight your specific setup receives [5, 7].
  • 에프temp : The temperature derating factor (a decimal between 0 과 1). This accounts for the loss in efficiency as the solar panel’s cell temperature rises above 25°C [1, 2, 8].
  • 에프other : A combined factor for all other system losses (a decimal between 0 과 1). This includes soiling (dust), shading, 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 forH나는lH나는그건​ 그리고에프에프.

1. Irradiation on a Tilted Surface (H나는l)

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]. 그러나, for maximum accuracy, a more nuanced approach is needed.

  • Fixed Tilt Angle: Thegolden ruleis to set the tilt angle equal to your latitude. 예를 들면, at a latitude of 35°N, 패널은 종종 35° 기울어져 설치됩니다. [5].
  • 계산 중 H경사: 기울어진 평면의 조사량을 수동으로 계산하는 것은 복잡합니다.. 수평 태양 복사 데이터를 직접 및 확산 구성 요소로 분할한 다음 이를 경사면으로 변환해야 합니다. [7]. 이런 이유로, 전문가들은 유럽연합 집행위원회와 같은 도구를 사용합니다. PVGIS (태양광 지리정보 시스템) [3] 또는 NREL PV 와트 미국에서 [4]. 위치를 입력하여 (위도/경도), 패널 기울기, 및 오리엔테이션 (방위각), 이러한 도구는 다음에 대한 정확한 값을 제공합니다. H나는l기울임. 최신 접근 방식에서는 기계 학습을 사용하여 기존 등방성 모델에 비해 이러한 추정의 정확도를 향상시키기도 합니다. [7].

2. 온도 경감 요인 (에프에프)

태양광 패널은 뜨거워지면 덜 효율적으로 작동합니다.. 이 요소는 이 효과를 수정합니다. [1, 2]. 공식, implemented in models like PVWatts, 이 다음과 같이 [4, 8]:

에프=1+[γ×(Cll-에스C)]

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

예를 들면, according to industry data, for a module withγ=-0.4%/°Cγ=−0.4%/°CCll=65°CTcell​=65°C, 과에스C=25°CTstc​=25°C, the power loss is significant [6]. The calculation is:에프=1+[-0.004×(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 (γγ) Values

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

Panel TechnologyTypical Temperature Coefficient (γγ)참고
Monocrystalline Silicon (Older BSF)-0.45% 에 -0.50% /° COlder technology with higher temperature losses [6].
Monocrystalline Silicon (Modern PERC)-0.35% 에 -0.40% /° CCommon technology with improved performance [6].
Monocrystalline Silicon (N-type TOPCon)-0.29% 에 -0.35% /° CAdvanced technology with a very good coefficient [6].
Monocrystalline Silicon (HJTHeterojunction)-0.25% 에 -0.30% /° CPremium technology with the best coefficient [6].
Polycrystalline Silicon-0.40% 에 -0.50% /° COlder technology, generally higher coefficient [6].
Thin-Film (CdTe)-0.24% 에 -0.25% /° CVery good performance in heat [6].
Field-Aged Modules-0.5% /° C (for ηm)Measurements on aged modules confirm these orders of magnitude [2].

3. Other Derating Factors (에프oHr에프oHer)

This is a catch-all for real-world inefficiencies. A typical value for a well-designed system might be around0.75 에 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 (stc): 1 kWdc
  2. Tilted Irradiation (H경사): Let’s assume you’ve used an online tool like PVGIS [3] for your specific latitude and chosen tilt. The tool outputs an annual H경사 으로 1700 kWh/m².
  3. Temperature Factor (에프temp): Based on your local climate and panel specifications (예를 들면, γ=-0.4%/°Cγ=−0.4%/°C [6]), you calculate an average annual 에프ftemp​ of 0.90.
  4. Other Losses (에프other): You estimate a combined factor of 0.80 for inverter losses, soiling, wiring, 등. [1, 4].

Your estimated annual energy output () would be [4]:=1 kWdc×1700 kWh/m²×0.90×0.80=1224 kWh​=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 H나는l​ values, I strongly recommend using established tools like PVGIS [3] 또는 PV 와트 [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 (γγ) will always come from the manufacturer’s datasheet for the specific solar panel model you are using [6, 10]. Look forTemperature Coefficient of Pmax” 또는 “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].

📚 참고문헌 목록

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

[2] NIH (2023). 표 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.국립재생에너지연구소 (NREL)

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

[6] Tongwei (2025). Mono Silicon Solar Panel Efficiency丨Temperature Coefficient, Low Light Performance, 감쇠율.통웨이 주식회사, (주).

[7] 에너지 전환 및 관리 (2024). 수평 측정을 통해 기울어진 표면의 월간 태양 복사량을 추정하기 위한 범용 도구: 기계 학습 접근 방식.에너지 전환 및 관리

[8] pvlib-python 문서 (undated). pvlib.pvsystem.pvwatts_dc.문서 읽기

[9] UNT 디지털 도서관 (1981). 태양광/열 복합 시스템의 분석 및 실험 시스템 연구. 기술현황 보고 아니요. 12. 노스텍사스대학교

[10] IEEE (1997). PV 모듈 및 어레이의 온도 계수: 측정 방법, 어려움, 그리고 결과.제26회 IEEE 태양광 전문가 컨퍼런스 회의록

맨 위로 스크롤