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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 15 Documents
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Search results for , issue "Vol 13, No 2 (2024): March 2024" : 15 Documents clear
Do the various sources of energy consumption affect the environmental degradation in India? Bin Mohamad, Abdul Hayy Haziq; Ab-Rahim, Rossazana
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.55836

Abstract

India possesses ample opportunities for economic growth, resulting in a surge in electricity demand. As per the Environmental Performance Index (EPI), India's rank on environmental health and ecosystem viability stands at a lowly 168th out of 180 countries. Historically, India relied on fossil fuels for electricity generation, leading to substantial environmental degradation that have harmed the environment. In recent times, India has diversified its electricity generation sources, incorporating not only fossil fuels but also nuclear power and renewable resources. However, despite these changes, India still struggles with high CO2 emissions which indicates the level of environmental degradation. Hence, this study aims to investigate the sources of energy consumption in India: fossil fuels, renewable energy, and nuclear energy. By utilising the ARDL and NARDL methodologies, this study enriches the empirical studies by examining energy consumption trends in India from 1985 to 2021. The findings of this study shed light on whether the adoption of renewable energy and nuclear energy significantly aids in reducing carbon emissions in India, thereby facilitating the attainment of the Sustainable Development Goal (SDG), Therefore, it is of the utmost necessity for India to emphasize the formation of clean energy in their energy policy to achieve the SDG7 by the year 2030. This study found a positive correlation between GDP per capita and CO2 emissions, highlighting the urgent need to reduce India's dependency on fossil fuels. The ARDL analysis further confirms that fossil fuel-generated energy contributes to CO2 emissions, whereas nuclear-generated energy reduces them.
Boosting thermal regulation of phase change materials in photovoltaic-thermal systems through solid and porous fins Namuq, Sura A.; Mahdi, Jasim M.
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59986

Abstract

This study explores the integration of porous fins with phase-change materials (PCM) to enhance the thermal regulation of photovoltaic-thermal (PVT) systems. Computational simulations are conducted to evaluate the impacts of different porous fin configurations on PCM melting dynamics, PV cell temperatures, and overall PVT system effectiveness. The results demonstrate that incorporating optimized porous fin arrays into the PCM region can significantly improve heat dissipation away from the PV cells, enabling more effective thermal control. Specifically, the optimized staggered porous fin design reduces the total PCM melting time and decreases peak cell temperatures by about 5°C . This is achieved by creating efficient heat transfer pathways that accelerate the onset of natural convection during the PCM melting process. Further comparisons with traditional solid metallic fins indicate that while solid fins enable 12.2% faster initial melting, they provide inferior long-term temperature regulation capabilities compared to the optimized porous fins. Additionally, inclining the PV module from 0° to 90° orientation can further decrease the total PCM melting time by 13 minutes by harnessing buoyancy-driven convection. Overall, the lightweight porous fin structures create highly efficient heat transfer pathways to passively regulate temperatures in PVT systems, leading to quantifiable improvements in thermal efficiency of 16% and electricity output of 2.9% over PVT systems without fins.
Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability Le, Thanh Tuan; Priya, Jayabal Chandra; Le, Huu Cuong; Le, Nguyen Viet Linh; Duong, Minh Thai; Cao, Dao Nam
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60119

Abstract

The escalating trends in energy consumption and the associated emissions of pollutants in the past century have led to energy depletion and environmental pollution. Achieving comprehensive sustainability requires the optimization of energy efficiency and the implementation of efficient energy management strategies. Artificial intelligence (AI), a prominent machine learning paradigm, has gained significant traction in control applications and found extensive utility in various energy-related domains. The utilization of AI techniques for addressing energy-related challenges is favored due to their aptitude for handling complex and nonlinear data structures. Based on the preliminary inquiries, it has been observed that predictive analytics, prominently driven by artificial neural network (ANN) algorithms, assumes a crucial position in energy management across various sectors. This paper presents a comprehensive bibliometric analysis to gain deeper insights into the progression of AI in energy research from 2003 to 2023. AI models can be used to accurately predict energy consumption, load profiles, and resource planning, ensuring consistent performance and efficient resource utilization. This review article summarizes the existing literature on the implementation of AI in the development of energy management systems. Additionally, it explores the challenges and potential areas of research in applying ANN to energy system management. The study demonstrates that ANN can effectively address integration issues between energy and power systems, such as solar and wind forecasting, power system frequency analysis and control, and transient stability assessment. Based on the comprehensive state-of-the-art study, it can be inferred that the implementation of AI has consistently led to energy reductions exceeding 25%. Furthermore, this article discusses future research directions in this field.  
An innovative air-cooling system for efficiency improvement of retrofitted rooftop photovoltaic module using cross-flow fan Mustafa, Rozita; Mohd Radzi, Mohd Amran Bin; Hizam, Hashim Bin; Che Soh, Azura
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60068

Abstract

This study presents an innovative air-cooling photovoltaic (PV)system using cross-flow fan with speed regulation to optimize performance of rooftop PVsystem in tropical climates like Malaysia. Air passed through the impeller enters perpendicularly to the motor shaft, deflected by the fan blades and evacuated, allowing the fan to operate at its most efficient operating point. The airflow provided within the rear of the PV modules and the roof surface blow out the trapped hot air. Changes in the  module temperature (Tcell) are detected and the fan speed are adjusted accordingly to the PWM. This method was tested for 12 hours continuously from 7:00 am on the existing PV system at German Malaysian Institute (GMI) Bangi. The highest Tcell achieved 72.88 °C and 55.75°C without and with air-cooling system with average power 210.22 W and 246.67 W per peak sun factor (PSF) respectively. There was a 17.34% increase in average power with a 13.18% in average net output power and achieved 6.68% energy efficiency using the proposed cooling system. Tcell increases more swiftly and reaches higher temperatures in the absence of a cooling system, whereas Tcell increases more slowly and at lower temperatures when a cooling system is present. The projected system's power rating was 6.48 W, which is 2.6% per PV module, and it really attained 6.32 W, which is 2.53% per PV module, while total energy consumption by the fan was 51.89 Wh per day, which is only 3.89% per PV module.
A systematic decision-making approach to optimizing microgrid energy sources in rural areas through diesel generator operation and techno-economic analysis: A case study of Baron Technopark in Indonesia Prawitasari, Adinda; Nurliyanti, Vetri; Putri Utami, Dannya Maharani; Nurdiana, Eka; Akhmad, Kholid; Aji, Prasetyo; Syafei, Suhraeni; Ifanda, Ifanda; Mulyana, Iwa Garniwa
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59560

Abstract

Microgrid systems are part of the most reliable energy supply technologies for rural communities that do not have access to electricity but the system is generally dominated by diesel generators (DG). The implementation of de-dieselization programs to ensure efficient diesel operations requires addressing several scenarios such as the replacement of diesel completely with 100% renewable energy sources at a significant cost. The design and selection of appropriate configuration, as well as operating patterns, need to be considered in adopting economical and reliable microgrid systems. Therefore, this study aimed to design an optimal configuration and operational pattern for microgrid systems for the frontier, outermost, and least developed (3T) regions using Baron Techno Park (BTP) in Indonesia as a case study. The optimization was conducted through HOMER software combined with benefit-cost analysis and the focus was on daily load variations, selection of control algorithms, reconfiguration of the power supply system, and setting of the diesel generator operating hours. The results showed that the optimum configuration was achieved using loads of resort, 24 kWp of PV, 288 kWh of BESS, load-following (LF) as dispatch controller, and 25 kVa of DG. Moreover, the proposed microgrid system produced 12% excess energy, 36% renewable fraction (RF), 13.25 tons reduction in CO2 emissions per year, $0.28 LCOE per kWh, $250,478 NPC, and a benefit-cost ratio (BCR) of 0.89. It also had a potential energy efficiency savings of 55.56% and a cost efficiency of 20.95% compared to existing system configurations. In conclusion, the study showed that the addition of DG to microgrid systems in 3T areas was more optimal than using only PV and batteries. An effective operating schedule for the DG was also necessary to improve RF and reduce expenses. Furthermore, other energy storage devices considered less expensive than batteries could be introduced to improve the economics of microgrid systems in the 3T region.
A systematic literature review on renewable energy technologies for energy sustainability in Nepal: Key challenges and opportunities Adhikari, Dilli Ram; Techato, Kuaanan; Jariyaboon, Rattana
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60032

Abstract

Energy security is getting louder globally as there are growing concerns about the risk of climate change from using traditional non-renewable energy sources. This systematic literature review is conducted to identify the current state of renewable energy technologies in Nepal supporting the energy sustainability issue, opportunities, and challenges. The peer-reviewed journal articles published in Scopus, Web of Science, and Google Scholar databases were searched with specified search strings. Preferred Reporting Items for Systematic Reviews and Meta-Analysis(PRISMA) framework was utilized to search and screen the relevant literature published from 2012 to 2023 related to renewable energy development in Nepal. The Biblioshiny () function of the R-tool was utilized to conduct the meta-analysis of the identified literature. The result shows that the majority of articles were produced after 2019 and among them 50% of the research were conducted on mixed renewables, 19.4% on hydro, 14.5% solar, 8.1% wind, and 8.1% bio-energy. Renewable energy, climate change, sustainability, and policy interventions were identified as major themes in the research. Biomass (66.4%) still dominates the total energy mix and hydropower dominates in electricity generation. This review has explored how the studies were conducted on energy sustainability and renewable energy technologies in the context of Nepal. The review also provides challenges faced by Nepal’s renewable energy sectoral development and the underlined opportunities towards energy sustainability.
Energy optimization management of microgrid using improved soft actor-critic algorithm Yu, Zhiwen; Zheng, Wenjie; Zeng, Kaiwen; Zhao, Ruifeng; Zhang, Yanxu; Zeng, Mengdi
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59988

Abstract

To tackle the challenges associated with variability and uncertainty in distributed power generation, as well as the complexities of solving high-dimensional energy management mathematical models in mi-crogrid energy optimization, a microgrid energy optimization management method is proposed based on an improved soft actor-critic algorithm. In the proposed method, the improved soft actor-critic algorithm employs an entropy-based objective function to encourage target exploration without assigning signifi-cantly higher probabilities to any part of the action space, which can simplify the analysis process of distributed power generation variability and uncertainty while effectively mitigating the convergence fragility issues in solving the high-dimensional mathematical model of microgrid energy management. The effectiveness of the proposed method is validated through a case study analysis of microgrid energy op-timization management. The results revealed an increase of 51.20%, 52.38%, 13.43%, 16.50%, 58.26%, and 36.33% in the total profits of a microgrid compared with the Deep Q-network algorithm, the state-action-reward-state-action algorithm, the proximal policy optimization algorithm, the ant-colony based algorithm, a microgrid energy optimization management strategy based on the genetic algorithm and the fuzzy inference system, and the theoretical retailer stragety, respectively. Additionally, com-pared with other methods and strategies, the proposed method can learn more optimal microgrid energy management behaviors and anticipate fluctuations in electricity prices and demand.
The role of economic complexity in shaping the energy-growth nexus: Evidence from cross-country panel data Al-Silefanee, Rebean
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60055

Abstract

The study investigated the interplay between energy consumption (EN), economic growth (EG), and economic complexity across 59 countries from 2000 to 2018. Employing panel data methods, the research examined various models to estimate long-term effects while addressing unobserved heterogeneity and potential biases. Results indicate significant relationships between EG, EN, and economic complexity. Notably, the economic complexity index (ECI) displayed a positive effect on economic development, while trade openness and foreign direct investment showed varying impacts. The study identified a positive association between EG and EN, suggesting that increased energy consumption accompanies economic growth. However, a higher capital-to-labor ratio was associated with lower EN, indicating a substitution effect. Of particular note is the significant positive impact of the interaction between ECI and EN on GDP across various models. In the Country Fixed Effects Model, a one-unit increase in the interaction correlated with a 0.026 unit increase in GDP (p < 0.001). Similarly, significant positive relationships were observed in the Panel EGLS and FMOLS models, with coefficients of 0.055 and 0.031, respectively (p < 0.001 and p = 0.011). Conversely, all models consistently demonstrated a negative relationship between economic complexity and GDP, with coefficients ranging from -0.062 to -0.089 (p < 0.001). These findings underscore the importance of considering economic complexity and energy consumption in policy interventions aimed at promoting sustainable economic growth. Policymakers are encouraged to adopt comprehensive approaches that account for the complex interplay of various factors influencing economic development and energy consumption to formulate effective strategies.
Does energy transition matter to sustainable development in ASEAN? Mu'min, M. Silahul; Yaqin, Misbahol; Anam, Muhammad Syariful
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59544

Abstract

The energy transition towards renewable sources represents a pivotal factor in pursuing sustainable development. This study reviews the impact of renewable energy on three aspects of sustainable development, namely economic, social, and environmental aspects in ASEAN. To quantify these aspects, GDP per capita proxies for the economic dimension, unemployment rates for the social dimension, and CO2 emissions for the environmental dimension. The data used is panel data of 10 ASEAN countries from 1996-2020. Pooled Mean Group (PMG) estimation technique is applied to identify the relationship between renewable energy and the dimensions of sustainable development. The study results reveal that renewable energy has a significant influence on sustainable development in the long run. Specifically, renewable energy is able to stimulate GDP per capita levels, thus potentially serving as a determinant of sustainable economic growth in ASEAN. Furthermore, the findings of this study suggest that renewable energy has the capacity to reduce CO2 emissions in the long run. Efforts to increase the share of renewable energy usage are needed to mitigate the risk of environmental degradation. However, it is noteworthy that our study underscores the adverse impact of the energy transition on the social dimension, as it can potentially drive-up unemployment rates in the long run. This impact can be attributed to labor market relocations and structural changes. Novice workers in the renewable energy sector may face the risk of displacement. Consequently, this study has implications that underscore the need for inclusive approaches to elevate the usage of renewable energy. Furthermore, a well-structured policy framework is needed to encourage more investments and prepare the competent workforce in the renewable energy sector.
Starch – carrageenan based low-cost membrane permeability characteristic and its application for yeast microbial fuel cells Christwardana, Marcelinus; Kuntolaksono, Satrio; Septevani, Athanasia Amanda; Hadiyanto, H
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59160

Abstract

Microbial fuel cells (MFCs) are an innovative method that generates sustainable electricity by exploiting the metabolic processes of microorganisms. The membrane that divides the anode and cathode chambers is an important component of MFCs. Commercially available membranes, such as Nafion, are both costly, not sustainable, and harmful to the environment. In this study, a low-cost alternative membrane for MFCs based on a starch-carrageenan blend (SCB-LCM) was synthesized. The SCB-LCM membrane was created by combining starch and carrageenan and demonstrated a high dehydration rate of 98.87 % over six hours. SEM analysis revealed a smooth surface morphology with no pores on the membrane surface. The performance of SCB-LCM membrane-based MFCs was evaluated and compared to that of other membranes, including Nafion 117 and Nafion 212. All membranes tested over 25 hours lost significant weight, with SCB-LCM losing the least. The maximum power density (MPD) of the SCB-LCM MFCs was 15.77 ± 4.34 mW/m2, indicating comparable performance to commercial membranes. Moreover, the cost-to-power ratio for MFCs employing SCB-LCM was the lowest (0.03 USD.m2/mW) when compared to other membranes, indicating that SCB-LCM might be a viable and cost-effective alternative to Nafion in MFCs. These SCB-LCM findings lay the groundwork for future research into low-cost and sustainable membrane for MFC technologies.  

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