Analisis Potensi Solar Harvesting di KHDTK Gunung Geulis dengan Metode Random Forest

Summary

This presentation focuses on spatial mapping of solar harvesting potential in the KHDTK Gunung Gelis area, Sumedang, West Java, using the Random Forest classification method. The study explores renewable energy utilization, particularly solar energy, and identifies the best locations for solar harvesting based on various environmental factors such as land cover, elevation, slope, and proximity to roads. The findings suggest areas with optimal radiation, suitable elevation, and distance from roads, highlighting the significant potential of solar energy in the region for sustainable development.

Takeaways

• 😀 **Renewable Energy Focus**: The study emphasizes the growing demand for renewable energy and environmental sustainability, with solar energy being a key focus for future energy development.
• 😀 **Study Area**: The research is focused on the Gunung Gelis Forest Area (KHDTK), Sumedang, West Java, identified as a promising location for solar harvesting potential due to its geographical and environmental factors.
• 😀 **Data Collection**: The study uses both secondary data (e.g., land cover, elevation, and temperature) and primary data (e.g., ground-based measurements and field observations) to analyze solar potential.
• 😀 **Random Forest Classification**: The Random Forest method is used to classify land cover and assess solar harvesting suitability, providing high accuracy for spatial analysis.
• 😀 **Elevation**: Areas with elevations between 1000m and 2000m above sea level are considered optimal for solar harvesting due to consistent sunlight and fewer obstructions.
• 😀 **Slope Suitability**: The ideal slope for solar panel installation is between 0% and 24%, as slopes greater than 25% are considered unsuitable for efficient solar harvesting.
• 😀 **Aspect and Orientation**: Southeast to southwest-facing slopes are the most suitable for solar harvesting as they receive the most sunlight throughout the day.
• 😀 **Distance from Roads**: A distance of 250m or more from roads is ideal for solar harvesting areas to avoid interference and ensure safety.
• 😀 **Temperature Impact**: Solar panels perform optimally in temperatures below 25°C. The study area has an average temperature between 20°C and 22°C, which is suitable for solar harvesting.
• 😀 **Flooding Risk**: Areas within 1km of drainage basins or low-lying regions are not recommended for solar panel installation due to potential flooding risks.
• 😀 **Conclusion**: The study identifies 1.502 hectares of suitable land in KHDTK Gunung Gelis for solar panel installation, with the area having significant solar energy potential based on various environmental parameters.

Q & A

What is the main focus of the presentation?

The presentation focuses on mapping the potential for solar energy harvesting in KHDTK Gunung Gelis, Sumedang, West Java, using Random Forest classification. It aims to identify optimal areas for solar panel installation based on various geospatial parameters.

Why is solar energy harvesting important in this study?

Solar energy harvesting is important due to the increasing demand for renewable energy. The study aims to identify suitable locations for solar panel installations to maximize solar energy generation, reduce environmental impact, and promote sustainable energy solutions.

What geospatial parameters were considered in the study?

The study considered parameters such as land cover, elevation, slope, aspect, distance from roads, temperature, water sources, and flood risk areas. These factors were crucial in assessing the suitability of locations for solar harvesting.

How was the data for the study collected?

The study used both secondary data (remote sensing) and primary data (field surveys) conducted in November 2024. This data was analyzed to determine the suitability of locations for solar harvesting.

What is the significance of using Random Forest classification in this research?

Random Forest classification was used due to its ability to classify data with high accuracy. It helps in analyzing complex spatial data, categorizing land cover types, and determining areas with the highest potential for solar energy harvesting.

What were the results of the land cover analysis?

The analysis identified areas with mixed forests and pine plantations as the most suitable for solar harvesting. In contrast, bamboo-covered areas were deemed unsuitable due to their low potential for energy generation.

What elevation range is considered optimal for solar harvesting in Gunung Gelis?

The optimal elevation range for solar harvesting in Gunung Gelis is between 1,000 and 2,000 meters above sea level. This range provides consistent sunlight and reduces the risk of obstruction from topography.

How does aspect influence solar energy harvesting potential?

The aspect of land, or its orientation towards the sun, is a critical factor in solar harvesting. Areas with a southeast to southwest orientation are optimal as they receive the most sunlight throughout the day, improving solar energy efficiency.

What slope is ideal for solar panel installations?

The ideal slope for solar panel installations is between 0% and 25%. This range ensures that the panels are stable and efficiently capture sunlight without being hindered by excessive incline.

What distance from roads is considered ideal for solar harvesting locations?

Solar harvesting sites should be at least 250 meters away from roads to ensure safety and minimize external disturbances. The analysis found areas between 250 meters and 1,000 meters from roads to be the most suitable.

What was the estimated solar energy production potential of the optimal area?

The optimal area for solar harvesting in Gunung Gelis, covering 1,502 hectares, has the potential to generate approximately 34 MW of electricity, assuming 20% efficiency of solar panels.