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International Journal of Renewable Energy Development
Published by Center of Biomass and Renewable Energy
ISSN : 22524940     EISSN : 27164519     DOI : https://doi.org/10.61435/ijred.xxx.xxx
Core Subject : Science, Engineering,
Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering
The International Journal of Renewable Energy Development - (Int. J. Renew. Energy Dev.; p-ISSN: 2252-4940; e-ISSN:2716-4519) is an open access and peer-reviewed journal co-published by Center of Biomass and Renewable Energy (CBIORE) that aims to promote renewable energy researches and developments, and it provides a link between scientists, engineers, economist, societies and other practitioners. International Journal of Renewable Energy Development is currently being indexed in Scopus database and has a listing and ranking in the SJR (SCImago Journal and Country Rank), ESCI (Clarivate Analytics), CNKI Scholar as well as accredited in SINTA 1 (First grade category journal) by The Directorate General of Higher Education, The Ministry of Education, Culture, Research and Technology, The Republic of Indonesia under a decree No 200/M/KPT/2020. The scope of journal encompasses: Photovoltaic technology, Solar thermal applications, Biomass and Bioenergy, Wind energy technology, Material science and technology, Low energy architecture, Geothermal energy, Wave and tidal energy, Hydro power, Hydrogen production technology, Energy policy, Socio-economic on energy, Energy efficiency, planning and management, Life cycle assessment. The journal also welcomes papers on other related topics provided that such topics are within the context of the broader multi-disciplinary scope of developments of renewable energy.
Arjuna Subject : Energi (semua kategori) - Energi Terbarukan, Keberlanjutan dan Lingkungan
Articles 18 Documents
 1   2 
Search results for , issue "Vol 14, No 3 (2025): May 2025" : 18 Documents clear
Low voltage ride through (LVRT) enhancement of a two-stage grid-connected photovoltaic system based on finite-control-set model predictive control strategy Gholipour, Ali; Farhadi-Kangarlu, Mohammad; Neyshabouri, Yousef; Talavat, Vahid
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60491

Abstract

Grid-connected photovoltaic (PV) systems face numerous challenges during grid faults, including fault detection, synchronization, over-current protection, fluctuations in DC-link voltage, and compliance with active and reactive power requirements. This paper presents a control strategy based on finite-control set model predictive control (FCS-MPC) to enhance the LVRT capability of these systems. The strategy incorporates a battery energy storage system (BESS) to improve overall performance. Unlike traditional approaches, the proposed method integrates the control of all switches in boost converters, the BSS controller, and the neutral point clamped (NPC) inverter in one controller. It also combines the Maximum Power Point Tracking (MPPT) within a unified multi-objective cost function framework. By utilizing the positive sequence component of the current, this strategy facilitates symmetrical sinusoidal current injection during grid faults, effectively regulates the DC-link voltage, and maintains balanced capacitor voltages in the NPC inverter while avoiding over-current conditions. The BSS plays a key role in energy management by allowing the PV system to continue operating in MPPT mode during grid faults and enabling the storage of excess solar energy during disturbances. This capability ensures compliance with LVRT grid codes by efficiently managing the injection of reactive and active currents into a compromised grid. The proposed method reduces reliance on traditional cascaded hierarchical control loops, enhancing both dynamic response and system robustness during disturbances. The simulation studies carried out in MATLAB/Simulink environment on a 100 kW three-phase grid-connected PV system demonstrate the effectiveness of the proposed approach. The results indicate that the strategy maintains PV system performance at the maximum power point while significantly improving LVRT capability and overall grid stability. According to the simulation results, although in severe grid faults, the negative sequence grid current is kept at less than 1% and the voltage balance of the capacitors in the NPC inverter is maintained accurately. Also, the voltage ripples on the DC-link capacitors are limited to 7% in the fault period. In conclusion, this integrated control strategy effectively addresses the challenges posed by grid faults and enhances the operational efficiency of grid-connected PV systems, thereby contributing to the resilience of renewable energy infrastructures.
Green intelligent building design based on integrated photovoltaic/thermal building Wang, Tianchi
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60621

Abstract

With the increasingly prominent contradiction between energy consumption and environmental governance, the integrated photovoltaic/thermal building system has broad development prospects in building energy conservation. However, the improper placement of photovoltaic solar thermal collectors results in the inability of solar energy systems to maximize energy conversion. In order to combine photoelectric photothermal technology with architectural design, realize the efficient conversion and utilization of solar energy, reduce the dependence on traditional energy sources, and reduce building energy consumption, research based on the comprehensive utilization technology of solar photovoltaic photothermal building, designed an integrated photovoltaic photothermal building system, and optimized the system for different light resources and environmental conditions of solar photovoltaic photothermal collectors. The system achieved zero energy operation when the total energy consumption in winter was 798.92kW·h. The cumulative power supply and heat generation of the integrated photovoltaic/thermal building system throughout the winter were 214.63kW·h and 79.68kW·h. This study uses solar photovoltaic solar thermal collectors to replace roof coverings or insulation layers, which declines the impact of solar energy on buildings, and avoids duplicate investment and cuts cost. This study can improve power generation efficiency, meet heating needs, enhance resource utilization efficiency, reduce environmental pollution, and promote the sustainable development of the construction industry
Superior thermal dissipation through natural convection in a passive cooling system using multidirectional tapered fin heat sinks (MTFHS) Razali, Siti Nuraisyah; Ibrahim, Adnan; Fazlizan, Ahmad; Al-Aasam, Anwer B.; Rahmat, Muhammad Aqil Afham; Ishak, Muhammad Amir Aziat
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60742

Abstract

The increasing prominence of photovoltaic modules as a cornerstone of sustainable energy systems is well-established.  Nevertheless, the deleterious impact of thermal dissipation, often resulting in efficiency losses of 10-15%, remains a significant challenge.  Many researches were exploring new cooling techniques to improve the efficiency of solar panels.  One promising approach is the Multidirectional Tapered Fin Heat Sink (MTFHS).  This innovative design can capture wind from multiple directions, making it more effective outdoors.  This study aims to investigate the MTFHS for photovoltaic module cooling. A comprehensive numerical model was developed using COMSOL software simulations to investigate the thermal behavior of photovoltaic modules equipped with multidirectional tapered fins.  The model was employed to simulate heat transfer under various solar irradiance levels from 400 W/m2 to 1000 W/m2 while maintaining a constant 30 ℃ ambient temperature and 1 m/s wind speed to isolate the impact of solar radiation.  Additionally, the direction of incoming airflow was systematically varied from 0° to 90° in 18° increments to analyze its influence.  The model considered key multidirectional tapered fin design parameters like fin spacing, number of fins, and fin height.  Real-world testing further validated the model's predictions.  The findings demonstrate that multidirectional tapered fins significantly reduce PV module temperature, achieving a remarkable 8.61% reduction compared to the bare and conventional rectangular fins.  The maximum temperature reached with MTFHS was 56.73 ℃.  Furthermore, multidirectional tapered fins consistently outperformed other configurations across various wind orientations, achieving temperature reductions of over 10 %.  These findings highlight the exceptional effectiveness of multidirectional tapered fins in outdoor environments, especially where wind direction is unpredictable.  A correlation analysis revealed excellent agreement (93-96 %) between model and experimental results, further validating the efficacy of the multidirectional tapered fin design.  
Formulation of Nb-doped ZnO nanoparticles towards improved photo conversion performance via luminescent down-shifting of the incident spectrum Jusoh, Yaumee Natasha; Aliyaselvam, Omsri Vinasha; Zainal, Nurul Aliyah; Mustafa, Ahmad Nizamuddin; Mohd Shah, Ahmad Syahiman; Salehuddin, Fauziyah; Arith, Faiz
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60983

Abstract

The quest for optimal solar energy utilization has prompted an investigation into materials and techniques, establishing luminescent down shifting (LDS). This method converts short-wavelength photons into longer wavelengths thus expanding the range of absorption. This may further enhance the efficiency of solar cell power conversion. Herein, the Zinc Oxide (ZnO) nanoparticle is introduced as a promising candidate for LDS, mainly due to its ability to convert light effectively and cost-savvy. This research delves into enhancing Niobium (Nb) doped ZnO particles that exhibit photoluminescent characteristics to improve energy conversion efficiency. The synthesis of 1% mol of Nb-doped ZnO nanoparticles on indium tin oxide (ITO) films was achieved using a low-temperature hydrothermal technique, varying the growth duration. Extensive analysis using XRD, SEM, and UV-Vis spectroscopy revealed that the optimal outcomes were achieved with an 8-hour growing period. The analysis revealed a hexagonal wurtzite crystal structure, characterized by prominent peaks on the (111) plane and a crystallite size of 37.18 nm. A morphology study indicated that the ZnO nanorods exhibited a randomly uniform oriented arrangement and a densely formed structure measuring 0.77 ± 0.02 μm. The samples exhibited promising optoelectronic properties based on the analysis, such as a characteristic bandgap of 3.35 eV, a transmittance of 46.54%, and an absorbance of 0.33 a.u .Furthermore, the electrical conductivity of the Nb-doped ZnO films was recorded at 1.62 mΩ⁻¹cm⁻¹.These findings suggest that controlling the Nb growth offers a promising avenue for optimizing the performance of Nb:ZnO nanoparticles for advanced solar energy conversion applications.
Assessing the potential of small wind turbine electricity generation for small-sized hotels towards sustainable tourism in developing countries Tanoto, Yusak; Jasman, Brandon Sebastian; Ananda, Stephanus Antonius
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.61019

Abstract

The persistent reliance on fossil fuels for energy will yield enduring adverse effects on the tourism sector, particularly the hotel industry. Wind energy represents a renewable electricity source that can facilitate the transition of small-scale hotels to clean energy. The main objective of this research is to propose a methodology for evaluating the potential of wind energy to support sustainable tourism in developing nations, specifically in fulfilling the electricity requirements of small hotels. This study aims to assess and compare the potential contribution of small wind turbines to hotel energy demand by modelling a historical hourly wind dataset spanning ten years (2011-2020) and forecasting a portion of the dataset. This research selected three sites in Indonesia exhibiting varying wind energy potentials: Tepus District in Gunung Kidul Regency, Losari Beach in Makassar City, and Nusa Penida Island in Bali. This study utilises multiple linear regression to examine the impact of external variables on wind speed, and it applies Seasonal Autoregressive Integrated Moving Average (SARIMA) and Holt-Winters Exponential Smoothing (HWES) for wind speed forecasting in these three locations. The hourly and daily interval datasets analysis reveals a weak correlation between external factors and wind speed, with the HWES method identified as the most appropriate approach for modelling and forecasting wind speed, surpassing the SARIMA model by 0.309 RMSE. Forecasting results indicate that a 30-kW wind turbine could supply 8.8 - 35.3% of a small hotel's electricity consumption, depending upon the occupancy rate.
Development of WO3/TiO2-NT/Ti photoanode for simultaneously POME degradation, electricity generation, and hydrogen production in a photocatalysis-fuel cell system Bachri, M. Febriansyah; Husein, Saddam; Susanto, Bambang Heru; Ratnawati, Ratnawati; Slamet, Slamet
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60978

Abstract

This research presents a WO₃/TiO₂-NT/Ti photoanode for processing POME waste as well as producing electricity and hydrogen simultaneously. The photoanode in the form of nanocomposites was synthesized using an in-situ anodization method and characterized using Field Emission Scanning Electron Microscopy with Energy Dispersive X-ray (FESEM-EDX), X-ray Diffraction (XRD), Photoluminescence Spectroscopy (PL-Spectra), photocurrent transient, X-ray Photoelectron Spectroscopy (XPS), and UV-Visible Diffuse Reflectance Spectroscopy (UV-Vis DRS). The results showed that the WO₃/TiO₂-NT/Ti photoanode with 0.3 g of WO₃ precursor added during anodization exhibited the best PFC performance. The system achieved a COD degradation of 84%, hydrogen production of 11.18 mmol/m², and a maximum power density of 0.0375 mW/cm² under visible light irradiation, outperforming the variations with 0.5 g and 0.78 g WO₃ precursor. The enhanced performance was attributed to the formation of a heterojunction between WO₃ and TiO₂, as confirmed by characterization results and performance tests in COD degradation, electricity generation, and hydrogen production. Meanwhile, the addition of 0.5 g and 0.78 g WO₃ precursor reduced photocatalytic performance, likely due to excessive Na₂WO₄·2H₂O during anodization, which could partially cover the active TiO₂-NT/Ti surface and alter the electrochemical oxidation process. The developed WO₃/TiO₂-NT/Ti photoanode offers a promising solution for simultaneous wastewater treatment, clean hydrogen production, and electricity generation, with potential applications in sustainable palm oil processing industries and future renewable energy technologies.
N/S-doped carbon electrode derived from paper waste as a sustainable electric double-layer capacitor Rahmawati, Fitria; Aini, Nur; Ridwan, Qanita; Paramartha, I Gusti Ayu Filia; Putri, Denis Octareta Amelia; Saputri, Dini Deviana; Nugrahaningtyas, Khoirina Dwi; Heraldy, Eddy; Hidayat, Yuniawan; Nurcahyo, I. F.; Anggraningrum, Ivandini Tribidasari
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60846

Abstract

This research aims to produce N/S-doped Carbon Electrode derived from paper waste (NSCEp) for Electric Double-Layer Capacitor (EDLC). The paper waste holds potential as raw material for carbon production because of its high cellulose content, abundance of availability, and low price. To enhance the electrical performance of the carbon, an activation step was conducted, followed by double doping with nitrogen and sulfur using thiourea. The NSCEp result was analysed to examine its specific diffraction peaks, crystallinity, morphology, and elemental contents. The NSCEp powder was then mixed with dispersant to produce a homogeneous slurry for the electrode film. The EDLC was assembled in a sandwich-like structure, with sodium hydroxide (NaOH) solution impregnated in a separator between the carbon film electrodes. The EDLC assembly was conducted under an argon atmosphere in a CR2032 coin cell. The results found that the NSCEp provides a high electrical conductivity of 1.21 x 102 S/cm. The prepared EDLC achieved the specific capacitance value of 39.555 F/g as determined by cyclic voltammetry (CV) analysis. Furthermore, the EDLC demonstrates high initial charge-discharge capacities of 300.56 mAh/g and 248.88 mAh/g, respectively, at a current of 0.015 A/g. The capacity remains stable for up to 300 charge-discharge cycles.
Maximize the total electric sale profit for a hybrid power plant with fifteen thermal units and a 100-MW solar photovoltaic farm under a 20-year power generation project Tran, Dao Trong; Nguyen, Thang Trung
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60943

Abstract

This study investigates the effectiveness of two recently proposed meta-heuristic methods, the Weighted Average Algorithm (WAA) and Electric Eel Foraging Optimization (EEFO), to maximize the total profit of a hybrid power system. The considered system comprises fifteen thermal generating units (TGUs) and a 100-MW solar photovoltaic farm (SPP) operating over a 20-year period. Initially, the problem is solved under conditions of fixed load demand and rated power supply from the renewable energy source while accounting for prohibited operating zone constraint and system power losses. Comparative results obtained from both algorithms demonstrate that EEFO exhibits superior performance in terms of stability and convergence speed. Specifically, EEFO demonstrates a lower fluctuation in overall electricity generation cost (OEGC) across multiple independent runs compared to WAA. Furthermore, EEFO achieves better minimum, mean, and maximum OEGC values of $0.266, $58.890, and $214.225, respectively. Subsequently, EEFO is reapplied to maximize the profit of the hybrid power system, incorporating load demand variations and real solar radiation data. This analysis includes the evaluation of initial capital expenditure (CAPEX) and operation and maintenance (O&M) costs for the SPP over the 20-year period. Current electricity and solar power prices are utilized to illustrate the cumulative profit over time. The results indicate that the hybrid system experienced the highest loss in the first year, with the minimum loss occurring after 9 years for the TGUs and 7 years for the SPP. Profitability is achieved after 10 years for the TGUs and 7 years for the SPP. The cumulative profit over 20 years amounts to $14.2 billion for the TGUs and $0.207 billion for the SPP, representing approximately 83% and 127% of their respective total costs.
Multi-temporal forecasting of wind energy production using artificial intelligence models Bouabdallaoui, Doha; Haidi, Touria; Derri, Mounir; Hbiak, Ishak; El Jaadi, Mariam
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.61086

Abstract

In response to changing energy demands, electricity suppliers are increasingly turning to sustainable energy sources, with wind power emerging as a promising solution. This study aims to predict wind energy production over four time horizons: hourly, daily, weekly, and monthly, for a 12,300 kW wind farm located in Northamptonshire, UK. We employed three artificial intelligence (AI) techniques: an ensemble of bagged decision trees, artificial neural networks (ANNs), and support vector machines (SVMs). The paper provides a comparative evaluation of AI-based forecasting techniques for wind energy prediction, highlighting differences in model performance across time horizons while emphasizing the strengths and limitations of each method in addressing the temporal variability of wind energy production. The models were tested over various times using important performance measures, such as the correlation coefficient (R), the coefficient of determination (R²), mean absolute error (MAE), root mean squared error (RMSE), and bias. The results indicate that support vector machines achieve the highest accuracy for medium-term forecasts, with a coefficient of determination of 0.9722 and a mean absolute error of 44.91 kW. Artificial neural networks perform best in short-term forecasting, particularly at the daily level, with a coefficient of determination of 0.948 and a mean absolute error of 36.04 kW. In contrast, long-term predictions exhibit greater variability across models, with the coefficient of determination decreasing to 0.778, reflecting the increased complexity of extended forecasting. The ensemble of bagged decision trees demonstrates strong predictive capability but with slightly higher error margins compared to support vector machines. The obtained results could serve as a reference for selecting the most suitable models based on forecasting objectives and time constraints. Future improvements in forecasting accuracy could happen by combining these models with optimization algorithms, especially for medium- and long-term predictions, where making accurate forecasts is still very difficult.
Natural pigment-based dye-sensitized solar cells utilizing Caulerpa racemose and Gymnogongrus flabelliformis as photosensitizers Unwakoly, Semuel; Liliasari, Liliasari; Hartati, Sri; Munawaroh, Heli Siti H; Arramel, Arramel; Rusliani, Prima Fitri; Prima, Eka Cahya
International Journal of Renewable Energy Development Vol 14, No 3 (2025): May 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.61083

Abstract

This research examines natural dyes' chemical and physical characteristics for potential use in dye-sensitized solar cells (DSSCs). Chlorophyll pigments were extracted from two macroalgae species, Caulerpa racemosa and Gymnogongrus flabelliformis, and analyzed using absorbance spectroscopy, band gap energy calculations, and dye-sensitized solar cell performance evaluation. Fourier Transform Infrared (FTIR) characterisation was used to identify the pigments contained in the dye. The absorbance spectra of chlorophyll pigments extracted from both macroalgae species showed broad peaks at 400–800 nm wavelengths, with Gymnogongrus flabelliformis showing the highest absorbance peak at 403 nm. The redox potential analysis for both macroalgae species showed energy gaps (HOMO/LUMO) of 1.3 eV, 1.4 eV, 2.3 eV, and 2.4 eV, respectively, indicating that these natural dyes are suitable for use in DSSC applications. DSSC devices were fabricated using components such as liquid electrolyte, mesoporous titanium dioxide (TiO₂) photoelectrode, reduced graphene oxide (rGO) as counter electrode, and ITO glass as conductive substrate. Meanwhile, to evaluate how well the photovoltaic system worked, we looked at short-circuit current density (Jsc), open circuit voltage (Voc), fill factor (FF), and overall photoelectric conversion efficiency (η). The results showed that the highest performance for Gymnogongrus flabelliformis was Jsc 0.041 mA/cm², Voc 0.28 V, FF 0.239, and η 0.020%, while the highest performance of Caulerpa racemosa was Jsc 0.023 mA/cm², Voc 0.46 V, FF 0.244, and η 0.019%. These findings indicate the potential for using and developing natural dyes derived from these two macroalgae species in DSSC technology. This research offers insight into the feasibility of marine-derived pigments as a sustainable and environmentally friendly alternative for photovoltaic applications.

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