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Optimal cleaning robot on solar panels with time-sequence input based on internet of things Fitriyanah, Dwi Nur; Saputra, Rivaldi Dwi Pramana; Abadi, Imam; Musyafa, Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp280-291

Abstract

Solar panels are the main component of solar power generation systems, and they function by converting solar energy into electrical energy. Indonesia has great potential for solar energy. Solar panels will work optimally at temperatures of 25 °C to 28 °C. The greater the temperature of the solar panel, the more power generated by the panel. The influence of solar radiation intensity can be caused by dust and animal droppings attached to the surface of the solar panel module. If the surface of a solar panel is covered with dust or dirt, which can block the entry of solar radiation, the resulting power output is not optimal. The aim of this research is to design and implement an automatic cleaning system for solar power plants. The system used is using ESP32 based on the Blynk application and adding internet of things (IoT) devices with a cleaning method using pumped water spraying, then assisted with wipers which have silicon rubber material to clean dust and dirt. Based on the cleaning optimization simulation calculations, we found that the optimal or efficient cleaning condition was once a month, with an efficiency of 75.17%.
Rancang Bangun Oil Spinner Sebagai Peniris Minyak Goreng Otomatis Terintegrasi Panel Surya Dalam Meningkatkan Kualitas Produk Kerupuk Pada UMKM Toko Lestari Lokasi : (Kenjeran Bulak, Surabaya, Jawa Timur) Musyafa, Ali; Abadi, Imam; Harsono, Harsono; Asyari, Muhammad Khamim; Imron, Chairul; Raafi’u, Brian; Ashiddiqi, Muhammad Roy; Rahmadiansah, Andi; Oktavia, Yunaini Istivani; Hudaningrum, Laila Puji; Setianingtias, Regina Putri; Norhalimah, Norhalimah
Sewagati Vol 9 No 3 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i3.2404

Abstract

Kandungan minyak berlebih pada produk kerupuk dapat menurunkan kualitas, mempercepat ketengikan, dan mengurangi daya simpan. Penelitian ini bertujuan untuk merancang dan membangun oil spinner otomatis yang terintegrasi dengan panel surya sebagai sumber energi guna mengurangi kadar minyak goreng pada kerupuk, sehingga meningkatkan kualitas produk secara keseluruhan. Metode yang digunakan meliputi tahap perancangan, pembuatan, pengujian alat, dan implementasi. Sistem ini terdiri dari komponen utama berupa motor pemutar, wadah berputar, dan panel surya sebagai sumber daya utama. Pengujian dilakukan dengan membandingkan kadar minyak sebelum dan sesudah proses penirisan pada berbagai kecepatan putaran. Hasil penelitian menunjukkan bahwa alat ini mampu mengurangi kadar minyak yang teruji dapat berputar dengan kecepatan maksimum sebesar 829,3 rpm dengan minyak yang tertiris sebesar 9,8 mL dalam satu kali proses penirisan. Alat ini memanfaatkan energi surya sehingga lebih hemat energi dan ramah lingkungan dengan kapasitas 150 Wp, baterai dengan kapasitas 12 Volt 100 Ah, dan inverter dengan daya sebesar 300 Watt. Pengembangan lebih lanjut dapat difokuskan pada peningkatan efisiensi sistem tenaga surya dan otomatisasi proses agar lebih optimal dalam skala industri.
A Study on Health, Safety, Environment, and Ergonomics (HSEE) in Solar Power Plant Shafira, Dinda Aulia Ilma; Abadi, Imam
Journal of Engineering and Applied Technology Vol. 6 No. 01 (2025): (March)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v6i01.84689

Abstract

Solar energy has rapidly developed as a renewable energy source, but the aspects of Health, Safety, Environment, and Ergonomics (HSEE) in their operations have remained a concern. This study analysed the risks faced by workers and the environment at the Pantai Baru solar power plant using a risk analysis approach based on primary data from worker questionnaires and secondary data from literature reviews and field observations. The findings showed that the health aspect included heat stress such as prolonged under direct sunlight and exposure to toxic materials, these materials include heavy metals such as cadmium (Cd) and lead (Pb), which are commonly used in photovoltaic (PV) technology to enhance efficiency but are known to be carcinogenic and hazardous even at low doses. The safety aspect covered electrical hazards, fire hazards, and falling risks, all of which were exacerbated by suboptimal working conditions. From an environmental perspective, solar power plants caused ecosystem damage, required large land areas, and faced challenges in recycling solar panels and batteries. Ergonomic risks were also identified, but the questionnaire results indicated that musculoskeletal injuries were not a significant issue for solar power plant workers. This study concluded that most HSEE sub-variables were relevant to the risks associated with solar power plants, except for musculoskeletal injuries. Therefore, implementing risk mitigation strategies, improving workplace design, and enforcing stricter environmental policies were necessary to ensure safe, efficient, and sustainable solar power plant operations.
Design and building of a battery charging system using hybrid solar tracker and electric trip based on FPAO-FLC Abadi, Imam; Musyafa, Ali; Erwandha, Kevin Gica; Fitriyanah, Dwi Nur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2305-2312

Abstract

The proposed system is a hybrid charging system between a solar tracker and an electric grid using two converter types. The photovoltaic (PV)-based solar tracker has powerful tools, but its weakness is when the absence of sunlight. With a combination of two resources, the weakness can overcome. The control so good is needed so that it can overcome those weaknesses too. This study uses the flower pollination algorithm optimization-fuzzy logic controller (FPAO-FLC). Results of control using FPAO-FLC has a value of a rising time of 0.0123 seconds, settling time of 2.1099 seconds, maximum overshoot of 6.08%, a peak time of 0.9246 seconds, and steady-state error of 3.43%. The efficiency of the ZETA converter using FPAO-FLC control in the tracking condition PV compared to the fixed condition has increased 43, 24%, and the state of charge (SOC) of the battery reaches 39.08%. The advantage of the hybrid system is that it offers two automatic operating modes, namely simultaneous and individual. The average total energy obtained from the automatic dual supply mode charging process is 482.86 Wh with a battery SOC reaching 83.9%.
Enhanced performance of PV systems using a smart discrete solar tracker with fuzzy-ant colony controller Abadi, Imam; Elchoir, Najela Rafia; Musyafa, Ali; Hadi, Harsono; Fitriyanah, Dwi Nur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2090-2102

Abstract

A solar tracker is a combination of mechanical and electrical systems that can be used to move a solar panel to follow the sun's direction. This solar tracker system is expected to optimize the output power of photovoltaics. Based on existing research, many solar tracking systems have been developed using active tracking methods to increase the power consumption of the components of solar trackers. Therefore, a passive solar tracking system was used to reduce the solar tracker's internal energy consumption. In this study, a passive smart discrete solar tracker was designed with 3 positions and 5 tracking positions based on a fuzzy-ant colony controller (ACO). The design of a passive solar tracker based on a fuzzy-ACO has a performance index (average) with a rise time of 0.45 s, a settling time of 0.701 s, a maximum overshoot of 0.5%, and a steady-state error of 0.05%. From the design, the 3-position passive solar tracker with fuzzy-ACO control can increase efficiency with a gross energy gain of 42.79% for 10 hours compared to a fixed PV. The 5-position passive solar tracker using fuzzy-ACO control increased the efficiency with a gross energy gain of 43.99%.