Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls

Chairul Imron; Imam Abadi; Ilham Amirul Akbar; Jauharotul Maknunah; Yusilawati Ahmad Nor; Aep Saepul Uyun

doi:10.1051/e3sconf/202019000005

Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls

Chairul Imron, Imam Abadi^*, Ilham Amirul Akbar, Jauharotul Maknunah, Yusilawati Ahmad Nor, Aep Saepul Uyun

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Solar energy is one of the renewable energy that gets more attention from many countries. Solar photo voltaic (PV) takes the right position to get the maximum energy yield. The study was conducted by comparison of performance with two methods of tracking the sun with one axis and two axes by using ANFIS control (Adaptive Neuro-Fuzzy Inference System). The solar tracking system is a system that operates on the sun by using a light sensor and controls the photovoltaic to always perpendicular to the sun by changing the pitch and yaw axis of the sun tracing properties. LDR (Light Dependent Resistor) is one of the light sensors whose resistance changes depending on the intensity of incoming light. Direct current (DC)motor is used as a PV drive panel in a solar tracking system. A two-axis solar tracking system has a greater power output than a tracking system with a single photovoltaic panel that does not use a tracking system (fixed).

Original language	English
Article number	00005
Journal	E3S Web of Conferences
Volume	190
DOIs	https://doi.org/10.1051/e3sconf/202019000005
Publication status	Published - 23 Sept 2020
Event	1st International Conference on Renewable Energy Research and Challenge, ICoRER 2019 - Banyuwangi, Indonesia Duration: 12 Nov 2019 → 13 Nov 2019

Keywords

Direct current motors
Light sensors
Performance index
Photovoltaic
Pitch
Yaw

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1051/e3sconf/202019000005

Cite this

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title = "Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls",

abstract = "Solar energy is one of the renewable energy that gets more attention from many countries. Solar photo voltaic (PV) takes the right position to get the maximum energy yield. The study was conducted by comparison of performance with two methods of tracking the sun with one axis and two axes by using ANFIS control (Adaptive Neuro-Fuzzy Inference System). The solar tracking system is a system that operates on the sun by using a light sensor and controls the photovoltaic to always perpendicular to the sun by changing the pitch and yaw axis of the sun tracing properties. LDR (Light Dependent Resistor) is one of the light sensors whose resistance changes depending on the intensity of incoming light. Direct current (DC)motor is used as a PV drive panel in a solar tracking system. A two-axis solar tracking system has a greater power output than a tracking system with a single photovoltaic panel that does not use a tracking system (fixed).",

keywords = "Direct current motors, Light sensors, Performance index, Photovoltaic, Pitch, Yaw",

author = "Chairul Imron and Imam Abadi and {Amirul Akbar}, Ilham and Jauharotul Maknunah and {Ahmad Nor}, Yusilawati and {Saepul Uyun}, Aep",

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AU - Imron, Chairul

AU - Abadi, Imam

AU - Amirul Akbar, Ilham

AU - Maknunah, Jauharotul

AU - Ahmad Nor, Yusilawati

AU - Saepul Uyun, Aep

N1 - Publisher Copyright: © The Authors, published by EDP Sciences, 2020.

PY - 2020/9/23

Y1 - 2020/9/23

N2 - Solar energy is one of the renewable energy that gets more attention from many countries. Solar photo voltaic (PV) takes the right position to get the maximum energy yield. The study was conducted by comparison of performance with two methods of tracking the sun with one axis and two axes by using ANFIS control (Adaptive Neuro-Fuzzy Inference System). The solar tracking system is a system that operates on the sun by using a light sensor and controls the photovoltaic to always perpendicular to the sun by changing the pitch and yaw axis of the sun tracing properties. LDR (Light Dependent Resistor) is one of the light sensors whose resistance changes depending on the intensity of incoming light. Direct current (DC)motor is used as a PV drive panel in a solar tracking system. A two-axis solar tracking system has a greater power output than a tracking system with a single photovoltaic panel that does not use a tracking system (fixed).

AB - Solar energy is one of the renewable energy that gets more attention from many countries. Solar photo voltaic (PV) takes the right position to get the maximum energy yield. The study was conducted by comparison of performance with two methods of tracking the sun with one axis and two axes by using ANFIS control (Adaptive Neuro-Fuzzy Inference System). The solar tracking system is a system that operates on the sun by using a light sensor and controls the photovoltaic to always perpendicular to the sun by changing the pitch and yaw axis of the sun tracing properties. LDR (Light Dependent Resistor) is one of the light sensors whose resistance changes depending on the intensity of incoming light. Direct current (DC)motor is used as a PV drive panel in a solar tracking system. A two-axis solar tracking system has a greater power output than a tracking system with a single photovoltaic panel that does not use a tracking system (fixed).

KW - Direct current motors

KW - Light sensors

KW - Performance index

KW - Photovoltaic

KW - Pitch

KW - Yaw

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DO - 10.1051/e3sconf/202019000005

M3 - Conference article

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VL - 190

JO - E3S Web of Conferences

JF - E3S Web of Conferences

M1 - 00005

T2 - 1st International Conference on Renewable Energy Research and Challenge, ICoRER 2019

Y2 - 12 November 2019 through 13 November 2019

ER -

Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls

Abstract

Keywords

UN SDGs

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