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All Journal Mekanika: Majalah Ilmiah Mekanika Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Faizatama, Alfido Marchandi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Seakeeping Analysis of Floating Structures with Pipe Integration Based on the Boundary Element Method Onyshchenko, Svitlana; Faizatama, Alfido Marchandi; Firdaus, Nurman; Adiputra, Ristiyanto
Mekanika: Majalah Ilmiah Mekanika Vol 24, No 2 (2025): MEKANIKA : Majalah Ilmiah Mekanika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mekanika.v24i2.103847

Abstract

Floating structures are key components in offshore renewable energy systems. In the development of energy conversion, several integrated components are required, one of which is the Cold-Water Pipe (CWP). This integration will affect the interaction of the structure with environmental loads such as waves and currents, which influence the stability and seakeeping of the structure. This study employs computational analysis based on the Boundary Element Method (BEM) to more efficiently evaluate the hydrodynamic response of full-scale structures. Response Amplitude Operator (RAO), additional mass, motion response, and mooring line tension are identified as the main parameters. It was found that all these parameters are sensitive to mesh discretization. A mesh convergence study was conducted using mesh sizes of 1.8, 2.1, 2.2, and 2.3 m, which produced consistent RAO and additional mass values. Conversely, mesh sizes of 1.9, 2.0, 2.4, and 2.5 m showed inconsistencies in stability results at sea. The coarsest net (2.5 m) produced errors of up to 33% in swing, heave, and roll motions, with greater deviations in heave motion. However, tension on the mooring line remained relatively stable, indicating reduced sensitivity to variations in net size.
Yawing based IoT Monitoring System to Improve Horizontal Axis Wind Turbine Performance Virdaus, Alif Ilham; Sukriyandoko, Ivan Abdhira; Muzaqih, Aldi Fahli; Faizatama, Alfido Marchandi; Adriyanto, Feri
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.79542

Abstract

The diminishing availability of non-renewable energy resources such as coal, oil, and natural gas has prompted efforts to seek sustainable energy alternatives. One promising alternative is wind energy, which can be converted into electricity through wind turbines. However, Horizontal Axis Wind Turbines (HAWTs) have limitations in capturing wind from various directions, affecting operational efficiency. Therefore, this research attempts to address this issue through an innovation in yawing-based monitoring systems integrated with HAWTs and Internet of Things (IoT) technology. The yawing-based monitoring system is designed to monitor the performance of HAWTs in real time, including wind speed, rotations per minute (rpm), electrical current, and voltage. Data obtained from this monitoring system is used to identify potential damage to HAWTs, enabling timely preventive measures. Furthermore, this monitoring system can enhance the operational efficiency of HAWTs, reduce maintenance costs, and extend their lifespan. The results obtained from the comparison between the conventional system and the system with active yawing show a significant increase in power generated by the turbines equipped with the active yawing system. On average, turbines with the conventional system produce 213 watts of power, while turbines equipped with the active yawing system reach a power output of 296 watts. This represents a 39% increase in turbine efficiency, enhancing wind energy capture efficiency. These findings confirm that the integration of the active yawing system can optimally align the turbines with the incoming wind direction, thereby improving the overall system performance.
Co-Authors Adiputra, Ristiyanto Adriyanto, Feri Firdaus, Nurman Muzaqih, Aldi Fahli Onyshchenko, Svitlana Sukriyandoko, Ivan Abdhira Virdaus, Alif Ilham