Abstract
University campuses accommodate large numbers of people and are suitable places to organize a microgrid. The solar potential in the university area is estimated and the optimal orientation of solar panels is presented in this study. The optimal orientation is analyzed considering temporal volatility to increase the stability of the grid. Several variables are selected and scenarios are designed to consider various investments and technologies. Scenario-specific photovoltaic potentials were estimated using Geographic Information Systems analysis technology. Analysis of temporal volatility was conducted based on the difference between demand and supply of electricity. Optimal panel orientations were presented according to project objectives, such as highest efficiency or low volatility. As a result, the total potential of the study area was tens to hundreds of GWh/year depending on the scenario. The university has an advantage in hourly volatility, but has some problems in monthly volatility. The optimal orientation varies according to objectives and solar power supply ratio. The results of this study are expected to help researchers and technicians in the solar energy industry and assist in urban planning.
Highlights
Because of the development of solar energy technology, there has been an increase in solar power system installation in urban areas
Optimal orientation is estimated based on the results of solar potential and temporal volatility
Since the optimal changed according to to factors such as are project area,based and economic factors, this study presents the orientation can be changed according to factors such as project target, area, and economic factors, this optimal orientation according to several scenarios and objectives
Summary
Because of the development of solar energy technology, there has been an increase in solar power system installation in urban areas. Lower solar panel prices have made it possible to install solar energy systems in complex areas. The most representative case is ‘duck curve’, which shows net demand, the difference between the electric load and the supply of solar power, in California [1]. It represents the steep ramping needs of energy demand in the evening, as solar power increases. As this sudden ramping causes difficulties in providing a stable energy supply, it is necessary to find methods to stabilize it. One of the methods to alleviate this volatility is to change the orientation of the solar panel
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