Pengaruh Intensitas Matahari Terhadap Karakteristik Sel Surya Jenis Polycristaline Menggunakan Regresi Linear

Abstract

Renewable energy sources have both renewable and sustainable properties and the utilization of renewable energy sources is a continuously developed alternative. One of the technologies that can utilize renewable energy is polycrystalline solar cells. Solar cells are technology that converts sunlight energy into electrical energy. This technology is very potentially applied in Indonesia that has a tropical climate, but the main problem of this system is the power instability generated. The power produced relies heavily on the intensity of the sun received by the solar panels. The intensity of the solar radiation received by the solar panels can be maximised by installing solar panels, with a precise tilt angle. In research acquired the relationship between irradiation and current correlates of R = 0.7251. From the correlation value above indicates that there is a strong link and is directly proportional between irradiation and the current obtained. The acquired Model needs to be seen its accuracy, in which case it will be used Mean Absolute Percent Error So it is obtained by 26.5%. This indicates that the model is good enough.

Effect of Shading on Half-Cut Solar Panels Power Output

“…Some of these factors include: type of PV material, intensity of solar radiation received, cell temperature, parasitic resistance, clouds and other shadow effects, inverter efficiency, dust, module orientation, weather conditions, geographical location and cable thickness and others [8]. There are several environmental parameters that can affect the performance of solar cells including temperature changes, solar radiation intensity, partial coverage of the solar cell surface [9]. Partial closure of the surface of solar cells is usually caused by dust that sticks to solar panels for a certain period of time or can also be caused by animal feces such as birds that accidentally hit and cover the surface of solar panels.…”

An Improved Generating Energy Prediction Method Based on Bi-LSTM and Attention Mechanism

“…Since the main facility of a photovoltaic power station works outdoors, the environmental factors would affect the device's working state, making it meaningful to study this effect. For example, the characteristics of temperature changes on the quality of output current in solar power plants are studied in Indonesia [8]. In the global viewpoint, temperature and sunshine duration vary in different countries around the world, which makes the characteristics of solar plants generation different.…”