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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 16 Documents
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Search results for , issue "Vol 14, No 1 (2025): January 2025" : 16 Documents clear
Analytical computation of arm inductor for minimizing MMC circulating current using passive method Aslam, Amna; Raza, Muhammad
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60466

Abstract

The study of circulating currents in modular multilevel converters is vital for improving their efficiency and reliability. The circulating current may arise from capacitor voltage unbalancing, modulation imperfections, load variations, and transient conditions. Such currents typically induce distortions in arm currents, exhibiting second-order harmonics that lead to power losses and negatively impact the ratings of converter components as well as the amplitudes of capacitor voltage ripples. Despite ongoing research, effective strategies to mitigate circulating currents are limited. This paper aims to systematically address this issue by selecting key design parameters specifically arm inductance and capacitor values, to suppress circulating currents. The methodology incorporates harmonic analysis and instantaneous power theory to derive expressions for arm inductance. Initial modelling includes common mode and differential mode analyses, leading to an examination of harmonic content. Analysis reveals that the selection of the arm inductor value is mainly influenced by the second-order harmonic component, whereas the capacitor value is determined by the fundamental harmonic component. By adopting this methodology, the boundary limit for arm inductor selection can be determined. This article proposes a novel expression for arm inductor selection. The proposed expression mainly depends on factors such as load, submodule capacitor voltages, submodule capacitor, and differential current. By selecting an appropriate inductor value based on converter-rated parameters, circulating current within the system can be effectively suppressed. The methodology offers a practical framework for arm inductor selection. Simulation results validation shows strong alignment with analytical results with the error margin of less than 1%, hereby the MMC parameter can be determined with better accuracy through analytic method.
Building energy management model integrating rule-based control algorithm and genetic algorithm Gong, Jie
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60628

Abstract

Energy is a crucial material foundation for the development of human society. Building energy consumption accounts for a significant proportion of global energy consumption. Optimizing building energy management is of great significance for achieving sustainable development. A building energy management model that integrates rule-based control algorithm and genetic algorithm is proposed, aiming to optimize building energy utilization and reduce operating costs. Mathematical models for different devices in the building energy system are established, and the rule-based control algorithm is used to provide system decision support. Then, the genetic algorithm is integrated to address the complexity and uncertainty of energy optimization problems. The comparative test results showed that the proposed fusion algorithm had higher fitness values and faster convergence speed. The root mean square errors of the algorithm in the training and testing sets were 43.6544 and 43.6844, with the lowest error and highest accuracy among the four algorithms. The simulation experiment results showed that the building energy management model integrating rule-based control algorithm and genetic algorithm had energy expenditures of 788.3 yuan and 967.6 yuan for two types of buildings, respectively. Taking Building 1 as an example, compared with Supervisory Control and Data Acquisition (SCADA), Beetle Antennae Search and Particle Swarm Optimization (BAS-PSO) algorithm, and Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN) algorithm, the proposed model reduced the cost of energy consumption optimization by 39.30%, 28.32%, and 20.20%, respectively. Overall, the proposed building energy management model effectively reduces operating costs, utilizes building energy, and contributes to daily building energy management and decision support.
A double-Gaussian wake model considering yaw misalignment Soesanto, Qidun Maulana Binu; Soesanto, Qidir Maulana Binu; Widiyanto, Puji
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60690

Abstract

A wake steering has been known to effectively increase wind farm production by deflecting the upstream turbines’ wakes via yaw misalignment, thus minimizing their negative impacts on the downstream turbines' performances. This study presents analytical modeling of horizontal-axis wind turbine (HAWT) wake using low-cost analytical modeling as an alternative to expensive numerical and experimental trials. The existing double-Gaussian (DG) analytical wake model was modified to include the yaw misalignment effect, allowing its usability for the yawed HAWT wake modeling. The benchmark dataset produced by high-fidelity large eddy simulation (LES) of wake flowfields behind the turbine with yaw angles of 0º, 10º, 20º, and 30º were used to validate the accuracy of the DG yaw wake model. Overall, the DG yaw wake model predictions showed good agreement with the benchmark dataset under varying HAWT rotor yaw configurations. The analytical results verified by the LES dataset confirm the effectiveness of yaw misalignment in deflecting the wake trajectory, expediting the wake recovery downstream of the HAWT. In addition, a higher rotor yaw angle improves the wake recovery rate in the prevailing wind direction. Notable deviations against the benchmark dataset were found mainly within the near-wake region owing to flow acceleration arising from turbine-induced turbulence. As a result, the model’s predictions were slightly lower than the benchmark dataset, most likely due to neglecting the acceleration term in the analytical model derivation. Otherwise, the analytical model could accurately predict the mean wake velocity within the far-wake region for all evaluated cases, demonstrating its reliability in estimating wind speed potential within a practical distance for micrositing. These results were also proved quantitatively by statistical evaluations utilizing root mean square error (RMSE) and Pearson correlation coefficient R. The present study points out the importance of the upstream HAWTs’ rotor yaw controls to properly deflect their wakes away from their mainstream trajectories, thus effectively maximizing the wind speed potentials extracted by the downstream HAWTs and improving the overall wind farm production.
Unveiling the interactive effect of green technology innovation, employment of disabilities and sustainable energy: A new insight into inclusive sustainability Ragmoun, Wided; Alfalih, Abdulaziz
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60767

Abstract

The interaction between green technology innovation, employment of disabilities, and sustainable energy is a critical area of research that addresses the emergent need for inclusive sustainability. Nowadays, the interaction between sustainable energy and green technology innovation is considered an essential field of research that has been widely discussed in previous studies. However, the role of employment, especially of people with disabilities, on this effect is still inexistent despite its relative importance for the achievement of sustainable development goals. By unveiling the interactive effect between these factors, strategies can be defined to reduce and limit the negative impact on the environment while promoting employment.  This study aims to fill this research gap by investigating the impact of green technology innovation and employment of disability on sustainable energy in 25 OECD countries from 1994 to 2020 using a dual methodological approach that integrates a parametric analysis: the panel vector autoregression (PVAR) model and a nonparametric assessment: the local linear dummy variable method (LLDV). The findings reveal (i) a significant positive correlation between the enforcement of green technology innovation and the increase in the employment rate of people with disabilities, (ii) a limited direct effect of green technology innovation on green energy consumption, and (iii) a positive impact of the interactive effect of employment of disabilities and green technology innovation, with a higher elasticity than that recorded by a separated effect. The outcomes address environmental challenges and promote social equity in the green economy. They also offer some critical recommendations for policymakers and researchers on sustainable energy.
Using hydrogen as potential fuel for internal combustion engines: A comprehensive assessment Long Huynh, Diep Ngoc; Nguyen, Thanh Hai; Nguyen, Duc Chuan; Vo, Anh Vu; Nguyen, Duy Tan; Nguyen, Van Quy; Le, Huu Cuong
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60707

Abstract

This comprehensive review explores the feasibility and potential of using hydrogen gas as a fuel for internal combustion engines, a topic of growing importance in the context of global efforts to reduce greenhouse gas emissions and transition towards sustainable energy sources. Hydrogen, known for its high energy content and clean combustion properties, presents a promising alternative to traditional fossil fuels. This paper examines the chemical properties of hydrogen and its benefits over conventional fuels, particularly focusing on the technological advancements and modifications required for compression ignition and spark ignition engines to efficiently utilize hydrogen. The review delves into the necessary engine design modification, fuel injection systems, combustion characteristics, and emission control technologies specific to both compression ignition and spark ignition engines. Furthermore, it addresses the environmental impacts, including reductions in greenhouse gases and other pollutants, and evaluates the economic implications, such as production costs and feasibility compared to other energy solutions. Key challenges associated with the storage, distribution, and safety of hydrogen are discussed, along with potential solutions and innovations currently under investigation. This paper aims to provide a thorough understanding of the current state of hydrogen as a promising fuel for internal combustion engines, guiding future research and development in this vital field.
Integrated open Leontief model for analysis of biomass pellet demand in Thailand Buasan, Prangvalai; Sajjakulnukit, Boonrod; Bowonthumrongchai, Thongchart; Gheewala, Shabbir H.
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60691

Abstract

This study addresses the critical challenge of sustainably meeting the growing demand for biomass pellets in Thailand, particularly in light of increasing global interest in renewable energy sources. By introducing an innovative approach through the integration of the Open Leontief Model, this research constructs Input-Output Tables (IOTs) specific to the biomass pellet sector, encompassing 180 economic sectors. The study evaluates the economic impacts of varying domestic and international demand scenarios on Thailand’s economy. Utilizing mass and energy balance methodologies, it provides a comprehensive analysis of the biomass pellet supply chain, from plantation to pelletization, for both corn and wood pellets. Findings reveal significant economic intersectoral linkages within Thailand's economy, indicating the biomass pellet sector's potential to substantially contribute to national renewable energy targets and reduce fossil fuel dependency. Notably, the sector is projected to require an increase in raw materials, energy, and other inputs by 3.8% in 2024 and 2.63% in 2036, following the trend of international biomass pellet demand. Additionally, employment in the sector is expected to increase by 3.8% annually under international demand scenarios and 4.6% annually under domestic and international demand scenarios. The research concludes with policy recommendations aimed at fostering sector growth, emphasizing the importance of government incentives, capacity building, and the establishment of biomass plantation communities to meet the increasing demand for biomass pellets. This study not only sheds light on the sector's current state but also charts a path forward for sustainable energy solutions in Thailand in line with Sustainable Development Goals 7, 8, and 9. Together, these initiatives aim to ensure a balanced transition toward renewable energy, benefiting both the economy and the environment.
A numerical H Darrieus hydrokinetic turbine performance assessment with the application of openings in blade geometry Gomez, Mateo Arrieta; Muñoz, Angie Guevara; Zuluaga, Diego Hincapie
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60514

Abstract

This study explores the impact of various geometric modifications, including leading-edge openings, trailing- edge openings, and circular openings, on the performance of the H Darrieus hydrokinetic turbine. These modifications involved the removal of material from a symmetrical NACA0018 airfoil along its surface. The leading edge and trailing edge openings extended from the lower to the upper surface of the blade, while the circular opening was applied exclusively to the upper surface. Using the commercial software ANSYS® V22.2, the turbine was designed, discretized, and analyzed through computational fluid dynamics employing the Realizable K-e turbulence model. The primary output variable measured was torque, from which the power coefficient for each design modification was derived, allowing for the calculation of efficiency in each scenario. Notably, the configuration featuring the upper circular opening achieved the highest efficiency at 51.88% at a Tip Speed Ratio (TSR) of 2.0, a significant improvement over the standard case which had an efficiency of 45.16%. In contrast, the leading-edge and trailing-edge openings resulted in reduced efficiencies of 44.54% and 31.19%, respectively. The enhanced power coefficient of the H Darrieus hydrokinetic turbine with circular openings is attributed to the increased pressure difference generated between the upper and lower surfaces of the blade, surpassing the performance of the standard design.
Do green foreign direct investments promote environmental innovation in European countries? Nhuong, Bui Huy; Bao, Ho Dinh; Linh, Vu Manh; Ha, Le Thanh
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60421

Abstract

Environmental innovation (EI) plays a critical role in helping a country pursue sustainable development, while green foreign direct investment (GFDI) impacts creative local green innovation. However, there is a lack of research on this link. This paper aims to conduct an empirical investigation into how GFDI affects EI. The estimation findings demonstrate that GFDI has had positive effects on EI—by applying multiple econometric methods, including a panel-corrected standard error modelling (PCSE), a feasible generalized least squares model (FGLS), and autoregressive distributed lag (ARDL) model, to a globally representative sample of 15 European countries between 2012 and 2021. To clarify the connection between GFDI and EI, we present examples of the effects of the latter in both the short and long term. The results show that GFDI has an important beneficial impact on the environment for early-stage investments in the short term. Notably, our findings indicate that GFDI’s long-term effects are more likely to be favourable. Furthermore, we analyze interactions between variables representing institutional quality and the impact of GFDI on EI. Our findings suggest that the positive effects of GFDI may be greater in nations with highly developed institutional systems. 
Unveiling impact of financial development, renewable energy, and technological innovation on ecological footprint in major remittance-receiving economies – A PQARDL approach Toumi, Said
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60762

Abstract

A nation's financing system is pivotal in fulfilling the demands of sustainable development. Domestic funding sources and international financial flows make substantial contributions to both economic growth and environmental quality, with their influence being of paramount significance. The objective of this study is to analyze the complex linkage between financial development, renewable energy consumption, technological innovation, on ecological footprint in top remittance-receiving economies, namely Indonesia, Bangladesh, Vietnam, Pakistan, Egypt, Mexico, Philippines, China, and India, over the period 1990-2022. Using Panel Quantile Autoregressive Distributed Lag (PQARDL) method, our findings challenge the universal applicability of the Environmental Kuznets Curve (EKC) hypothesis and reveal complex interactions among variables. The long-term empirical results reveal inconsistent relationships between environmental degradation across different quantiles, challenging the universal applicability of the Environmental Kuznets Curve (EKC) hypothesis. Therefore, financial development reveals a mixed impact on ecological footprint across different quantiles, renewable energy consumption advertises a consistently negative association, suggesting its potential as a sustainable development lever. Moreover, technological innovation's influence varies across quantiles, indicating heterogeneous effects on ecological footprint reduction. Therefore, the validity of an inverted U-shaped or N-shaped Environmental Kuznets Curve pointed complexity of income's impact on environmental outcomes. The validity of the N-shaped EKC in all quantiles, acclaiming that policymakers should incorporating renewable energy and technology innovation into respect when formulating environmental calends.
Nipa-based bioethanol as a renewable pure engine fuel: A preliminary performance testing and carbon footprint quantification Mateo, Nathaniel Ericson Ramos; Calderon, Aldrin; Agrupis, Shirley; Manzano, Loreli Faye Tejada; Baga, Christopher Camento; Fagaragan, Alennie
International Journal of Renewable Energy Development Vol 14, No 1 (2025): January 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60614

Abstract

The need for alternative fuels remains a growing concern in alleviating the depletion of fossil fuels for transportation to address one of the objectives of the Sustainable Development Goals (SDG 7: Alternative and Clean Energy) despite the emerging use of Electric Vehicles. Nipa fruticans has been introduced as a promising feedstock for bioethanol production, but its performance as a pure engine engine fuel must be determined, and its carbon footprint must be quantified to assess its impact on the environment were this paper aimed. The CO2 emissions of this study was quantified using ISO 14040 methodologies, considering direct and indirect emissions from production to utilization with key ethanol properties tested according to ASTM standards. A carbureted motorcycle was modified to a fuel injection (FI) system to assess fuel performance, with metrics like power output, consumptions, and emissions were evaluated. Results show that nipa-based bioethanol, H95F and H99F, can serve as renewable pure engine fuels, with carbon footprints of 0.2353 and 2.633 kg CO2eq per Liter respectively with 1.08% lower of kg CO2eq per Liter emissions and 32.7% lower production cost compared to fermented sugar. As pure engine fuel resulted in lowering CO emissions by 171.79% and 167.59%; and lower HC emissions 172.89% and 191.34% respectively compared to E10. These findings demonstrated the potential of nipa bioethanol as a clean and sustainable energy solution. It is recommended however that ethanol yield and distillation process be further improved and explore pure ethanol as alternative fuel to hybrid vehicles as 100% renewable vehicles.

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