(사)한국기후변화학회

  • 서브비주얼배너

보기페이지

The Korean Society of Climate Change Research
확산모형을 이용한 주택용 상계 태양광 설비 보급량 예측
Forecasting Residential Solar Photovoltaic (PV) Capacity for Net Metering in South Korea
문형빈* ․ 안재균**† ․ 이철용***†
Moon, HyungBin* ・ Ahn, Jaekyun**† and Lee, Chul-Yong***†
Most countries around the world are implementing carbon neutrality to respond to climate disasters. Solar photovoltaic (PV) plays an important role in carbon neutrality because it is easy to install and its cost is rapidly declining. Residential solar PV has the advantage of not requiring investment in transmission and distribution facilities and reducing the maximum load by lowering peak power demand. However, residential solar PV generation is variable and cannot be reliably predicted, causing uncertainty in the power system. Therefore, it is important to accurately forecast the size of residential solar PV capacity in order to prepare countermeasures that can enhance the stability of such power systems from a long-term perspective. This study forecasts the capacity of residential solar PV net metering in South Korea using diffusion models. The Gompertz model provided the best fit for the diffusion pattern of residential solar PV net metering in South Korea, outperforming the Bass and Logistic models. When the Gompertz model was used to predict the residential solar PV net metering capacity over the next 15 years, an increase from 2.1 GW (8.8% of total solar PV) in 2022 to 12.0GW (15.4% of total solar PV) in 2036 was obtained. Therefore, this study suggests that it is necessary to consider the size and distribution of residential solar PV net metering in power system planning and operation, as it will play a major role in future power systems in South Korea.
Green House Gas Reduction, Forecasting, Residential Solar PV, Diffusion model, Net Metering
확장자는pdf1402-09.pdf
2093-5919
2586-2782
2023-04