RELATIONSHIP ANALYSIS OF PM2.5 CONCENTRATION AND CLOUD COVER TOWARDS SOLAR PANEL OUTPUT IN DKI JAKARTA (CASE STUDY : 2019-2020)

• Main Author: Anasthasia, Ajeng
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/70219
• Institution: Institut Teknologi Bandung

Energy transition is happening in Indonesia where conventional energy use is starting to change to renewable energy use such as Rooftop Solar Power Plants. However, many factors can affect the amount of the solar plant output. One of the factors is shading which can be caused by cloud cover and air pollution from PM2.5. The purpose of this study was to see how much the shading from cloud cover and PM2.5 parameters influences the output of PLTSA in DKI Jakarta. The data used are Rooftop Solar Power Plants output data from 3 points spread across DKI Jakarta, cloud cover data from BMKG Kemayoran, and PM2.5 concentration data in DKI Jakarta from the United States Embassy. The data will be seen and calculated statistically using boxplots, time series graphs, correlation tests, scatterplots, and classification tables to determine the magnitude of the shading effect on the Rooftop Solar Power Plants. The results showed that the shading effect of cloud cover and PM2.5 had an effect on the output of Rooftop Solar Power Plants at all 3 research points in DKI Jakarta during 2019-2020 in every season. The Rooftop Solar Power Plants output decreases when shading is high and increases when shading is low. In the highest shading conditions, in the DJF season (December, January, February) output can decrease by 48.08%, in the MAM season (March, April, May) output can decrease by 41.59%, in the JJA season (June, July , August) output decreased by 39.26%, in the SON season (September, October, November) output decreased by 45.22%. Due to the shading effect from cloud cover and PM2.5 pollution, Rooftop Solar Power Plants works the most optimally in the SON season and the least optimally in the DJF season.