研究目的
To investigate how strategic placement and orientation of solar PV panels in mountainous areas can shift electricity production from summer to winter months, better aligning with demand patterns and reducing the seasonal energy gap in a renewable energy mix.
研究成果
High-elevation PV installations with steeper tilt angles can significantly reduce the winter energy deficit by shifting production to match demand, requiring less surface area and leveraging snow reflectance. This approach enhances the viability of PV in renewable energy systems without compromising annual production.
研究不足
The PV model is simplistic and does not account for technical/electrical components, temperature effects, forward-scattering properties of snow, or high-resolution topographic shading. Future warming may reduce snow cover, and social or infrastructural factors like grid accessibility and public acceptance are not addressed.
1:Experimental Design and Method Selection:
The study uses a PV model called SUNWELL to compute electricity production based on irradiance, panel orientation, and ground reflectance. It involves spatial analysis of environmental conditions and scenario modeling for PV placements in Switzerland.
2:Sample Selection and Data Sources:
Data from 2011-2016 for Switzerland, including satellite-derived irradiance, snow cover duration, albedo from Meteosat imagery, and land cover data from CORINE dataset. Population density data for urban scenario ranking.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned; relies on computational models and datasets rather than physical equipment.
4:Experimental Procedures and Operational Workflow:
Compute PV production using SUNWELL model with inputs of global and direct radiation, account for terrain shading and snow albedo. Define PV placement scenarios (urban and mountain) based on ranking criteria, impose cover fractions, and model production profiles. Use REMEDI model for energy balance analysis with hydropower and other renewable sources.
5:Data Analysis Methods:
Statistical analysis of production data, comparison of scenarios, and energy imbalance computation using moving mean filters and optimization algorithms.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容