研究目的
Investigating the optimal orientation of solar panels considering temporal volatility to increase the stability of the grid in a university campus setting.
研究成果
The study concludes that the solar potential of the university can exceed total energy consumption under optimistic scenarios, but practical scenarios show less than 25% of total consumption is available. Temporal volatility analysis reveals advantages in hourly volatility but challenges in monthly volatility. Optimal solar panel orientation varies by objectives and solar power supply ratio, offering insights for urban energy planning and microgrid construction.
研究不足
The study is limited by the specific context of the university campus, which may not be directly applicable to other settings without adaptation. The analysis assumes fixed solar panels and does not consider tracking solar panels. Additionally, the study relies on specific datasets and models which may have inherent uncertainties.
1：Experimental Design and Method Selection
The study uses a developed tool termed 'SNU Solar' for calculating solar potential in an urban area with system factors, highly compatible with GIS analysis. The methodology includes estimating photovoltaic energy with scenarios constructed by variables and different urban plans, analyzing temporal volatility with demand and supply patterns of solar power, and estimating optimal orientation based on solar potential and temporal volatility results.
2：Sample Selection and Data Sources
The study area is the Gwanak campus of Seoul National University in Seoul, Korea. Datasets include a typical meteorological year (TMY) dataset for long-term climate consideration and various GIS datasets for spatial analysis, including high-resolution orthogonal images and digital surface models (DSMs) generated by UAV.
3：List of Experimental Equipment and Materials
UAV for generating high-resolution orthogonal images and DSMs, TMY dataset from the Korea Institute of Energy Research (KIER), and GIS datasets including ASTER GDEM.
4：Experimental Procedures and Operational Workflow
The process involves calculating irradiance and electricity generation considering local weather data, spatial properties, and system parameters using the 'SNU Solar' tool. The tool processes high-resolution UAV-derived maps for temporal analysis according to system variables.
5：Data Analysis Methods
Analysis includes estimating solar potential, analyzing temporal volatility on an hourly and monthly basis, and determining optimal solar panel orientation based on the results.
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