Addressing today’s energy demands involves various challenges, especially in the global effort to reduce waste and pollution. Energy from flowing water stands out as a clean and accessible solution due to its wide availability and minimal environmental impact. One type of technology used to harness this energy is the hydrokinetic turbine, with flapping or oscillating turbines being particularly interesting. This paper presents a systematic literature review following the PRISMA approach. Starting with 124 publications from Scopus and Web of Science databases, the review was narrowed down to 95 after duplicates were excluded. Then turns out that only 91 papers were accessible. 27 papers remained after going through our criteria. Last, after manually checking for eligibility, 20 papers remained. These are the peer-reviewed articles from 2020 to 2024, focusing on studies using analytical methods, numerical simulation, or experiment. Bibliometric and co-occurrence analyses were used to identify major trends and gaps in current research. This paper summarizes the selected studies’ methods and findings and compares several parameters, including flow velocity or Reynolds number, heaving amplitude, pitching amplitude, geometry, and other influencing factors. The discussion is organized into three main aspects: turbine mechanism, configuration, and kinematics. As such, this review offers useful insights into the current research on flapping/oscillating hydrokinetic turbines and the future research direction. Currently, many researchers focus on the optimization of a fully passive mechanism. In the future, the focus will still be on a fully passive mechanism, but on the fluid structure interaction.

This research examines the feasibility and advantages of deploying community-based hybrid power generation systems that leverage local energy resources, specifically solar and wind energy, for rural electrification in Indonesia. The study focuses on Desa Ayapo in Papua as a case study. Despite Indonesia's overall high electrification rate, numerous remote villages continue to depend on diesel generators (DG), which are expensive, inefficient, and environmentally detrimental. This research aims to design a microgrid system to replace DGs by exploiting the abundant solar and wind resources available in Desa Ayapo, which serves as a representative example of a rural village with significant potential for solar and wind energy utilization. The technical performance and reliability of the proposed hybrid system are evaluated, along with an economic analysis using metrics such as Net Present Value, Internal Rate of Return, Benefit–Cost Ratio, and Payback Period. A specific design for wind turbine blades is presented to demonstrate that the typical low wind speeds in Indonesia can still be harnessed to generate electricity. Additionally, the environmental benefits of reducing diesel dependency are assessed. The findings indicate that a hybrid power generation system combining solar photovoltaic and wind turbines with battery storage is the most viable option. The success of this model relies on active community involvement and government support to ensure sustainable and effective implementation.

This research evaluates the technical and financial feasibility of using Inhibitor A for brine treatment in geothermal energy production, comparing it with traditional brine acidification. Conducted at a geothermal site in Central Java, Indonesia, the study uses Decision Tree Analysis and risk Expected Monetary Value (EMV) to assess both methods. Inhibitor A demonstrates a 70% reduction in scaling compared to untreated brine, with laboratory tests indicating a 10 ppm dosage as optimal for minimizing silica scaling. Despite higher initial costs, Decision Tree Analysis shows that Inhibitor A has a lower overall risk profile than acidification. EMV analysis confirms its cost-efficiency when considering potential risks and benefits. This research advocates for the adoption of Inhibitor A, highlighting its long-term benefits and sustainability over traditional methods. The findings emphasize the importance of innovative solutions in enhancing geothermal energy systems’ efficiency and sustainability. By integrating technical performance with financial analysis, this study provides a comprehensive evaluation to inform decision-making in the geothermal sector, promoting more effective and sustainable brine treatment practices.

Predicting lift and drag in hydro turbine design is important to optimize its performance. However, it poses significant challenges due to the complexity of fluid dynamics, which is traditionally addressed by Reynolds-Averaged Navier–Stokes equations, which is time-consuming. Moreover, these methods are computationally demanding, making them a costly approach and less efficient for complex turbine designs. Recent advancements in machine learning (ML) offer a promising alternative with reduced computational costs while maintaining accuracy. This paper explores the use of a data-driven ML model for predicting aerodynamic performance, specifically lift and drag, in hydro turbine design. The models were developed from experimental hydro turbine data gathered from various blade designs and flow conditions. CatBoost yielded the highest predictive accuracy among all the models tested. The findings indicate that CatBoost achieved the best predicted accuracy, followed by LGBM, demonstrating the efficacy of machine learning methodologies in modeling hydrodynamic forces in turbine design.

Riset ini dilakukan untuk membuat sebuah skenari simulasi dari proses integrasi pembangkit listrik tenaga surya kedalam sistem kelistrikan yang sudah ada di desa Tanjung Kelumpang (Pantai Punai, Jaringan Global Hutan Lindung Belitung). Simulasi dilakukan menggunakan perangkat lunak HOMER dengan pola beban listrik pada lokasi berkisar 24000 kWh per hari. Skenario simulasi disiapkan dengan cara mengintegrasi pembangkit listrik bertenaga surya dengan pembangkit listrik tenaga diesel dan jaringan PLN. Simulasi dan optimasi menunjukkan bahwa pengintegrasian pembangkit tenaga surya dengan 30% kapasitass pembangkit tenaga diesel beserta jaringan listrik dari PLN memberikan hasil yang paling optimal. Angka LCOE (Levelized Cost of Electricity) Rp 1.173/ kWh dan NPC (Net Present Cost) Rp 1.788/ kWh. Integrasi pembangkit listrik tenaga surya pada sistem kelistrikan yang sudah ada di desa Tanjung Kelumpang merupakan sebuah solusi untuk memberikan sumber energi yang ramah lingkungan dengan harga yang kompetitif. Arah pembangunan provinsi Bangka Belitung saat ini mengalami transisi dari ekonomi berbasis pertambangan menjadi berbasis pariwisata. Integrasi pembangkit listrik terbarukan dapat memberikan efek yang berlipat untuk mencapai pembangunan sektor pariwisata yang berkelanjutan. Berbagai cara harus dilakukan untuk mencapai dan mengakselrasi tujuan tersebut melalui pembuatan kebijakan, menyediakan infrastruktu, meningkatkan kompetensi sumber daya manusia, kerjasama dan investasi, serta melibatkan penduduk setempat dalam proses.