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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 5 (2024): September 2024" : 15 Documents clear
Removal of sulphur and nitrogen compounds from model fuel by adsorption of modified activated carbon Joseph, Collin Glen; Selvam, Narrisma Wengda; Anisuzzaman, S. M.
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60089

Abstract

This study aimed to achieve the highest percentage removal of dibenzothiophene (DBT), quinoline (QUI), and indole (IND) adsorbed by double-impregnated modified activated carbon (MAC). Modification of commercial activated carbon (AC) by sulphuric acid (H2SO4) of 15%, 30%, 45%, 60%, and 75% w/v followed by subsequent 1 zinc chloride (ZnCl2): 1 AC impregnation ratio and activated at 500 oC in a muffle furnace under self-generated atmosphere for an hour. The determination of optimized MAC was identified through the highest removal rate of DBT, QUI, and IND from adsorption experiments which were analysed using an ultraviolet-visible (UV-Vis) spectrophotometer. It was found that DBT and IND showed a removal high percentage of up to 86.23% and 82.77% respectively by using 75% H2SO4 with ZnCl2 MAC. Meanwhile, QUI favoured 30% H2SO4 with ZnCl2 MAC with a removal percentage of 33.17% which was still higher than unmodified AC. Physical and chemical properties such as the morphological structure, elemental analysis, porosity, pore size, surface functional group, percentage yield, pH, bulk density, content, ash content, and iodine number were studied for the optimized MAC. Scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) spectroscopy and Fourier transform infrared spectroscopy (FTIR) were used to characterize the MAC. Both MACs showed high percentage yields of 72.08% and 71.13% for 30% and 75% H2SO4 and ZnCl2 MAC respectively. Meanwhile, the pH was between the ranges of 5.36-5.53 for both MACs. Bulk densities were also favourable while the moisture and ash content were within acceptable limits. Iodine numbers for 30% and 75% H2SO4 and ZnCl2 MAC were 857 and 861 mg/g respectively, hence indicating that the MAC achieved high porosity and good adsorption performance. Langmuir, Freundlich, and Temkin adsorption isotherm models as well as pseudo-first order (PFO) and pseudo-second order (PSO) kinetic models were considered for understanding the adsorption mechanisms. The study revealed that DBT, QUI, and IND removal processes, followed the Langmuir adsorption isotherm model with correlation coefficients, R2 of 0.9905, 0.9791, and 0.9964 respectively. Moreover, the adsorption kinetic data of DBT, QUI, and IND provided a better fitting to the PSO kinetic model with R2 of 0.9992, 0.9987, and 0.9998 respectively. According to the Langmuir isotherm model and PSO kinetic model, the adsorption mechanisms of DBT QUI and IND were chemisorbed under monolayer formations.
Characteristics of all organic redox flow battery (AORFB) active species TEMPO-methyl viologen at different electrolyte solution Ariyanti, Dessy; Purbasari, Aprilina; Hapsari, Farida Diyah; Saputra, Erwan Adi; Hamzah, Fazlena
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60155

Abstract

The practice of using wind and solar energy to generate electricity represents a solution that would be beneficial for the environment and ought to be explored. However, in order to ensure users' stability and continuous access to electricity, the increasing usage of renewable energy needs to align with the advancement of energy storage technologies. Redox flow batteries, which use an organic solution as the electrolyte and a proton exchange membrane as an ion exchange layer, are currently the subject of extensive research as one of the alternative renewable energy storage systems with the benefit of a techno economy. This study investigated the solubility of organic solution, namely 2,2,6,6-Tetramethylpiperidinyloxy or 2,2,6,6-Tetramethylpiperidine 1-oxyl (TEMPO) and methyl viologen (MV) in various essential electrolyte solutions such as NaCl, KCl, KOH, and H2SO4 that can be used as electrolytes of all organic redox flow battery (AORFB) system to produce high energy density and charging and discharging capacity. The result shows the optimum condition for effective charge transfer in AORFB is TEMPO catholyte and MV anolytes in the 0.08 M H2SO4electrolyte solution. Additionally, a correlation between the acquisition of electrolyte solutions on TEMPO catalyst and MV anolytes was discovered by the data. Electrolyte solution can improve electrical conductivity in TEMPO solution, which in turn can improve the efficiency of AORFB charging and discharging. Contrarily, MV anolytes exhibit a different pattern where the addition of electrolyte solutions reduces their electrical conductivity. RFBs systems with the aforementioned catholyte and anolyte can be used to store solar energy with a maximum current of 0.6 A for 35 minutes. Storage effectiveness is characterized by a change in colour in the catholyte and anolyte. The findings firming the possibility of using AORFB as one of the alternative energy storage systems that can accommodate the intermittence of the renewable energy input resource. 
Unlocking the power of the wind: Innovations in smart hybrid vertical axis wind turbines Irawan, Elysa Nensy; Shibuya, Kai; Yamashita, Ken-Ichiro; Fujita, Goro
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60354

Abstract

As global concerns about CO2 emissions grow, the development of green energy sources like wind power has become increasingly important. Two significant strengths of vertical-axis wind turbines relative to horizontal-axis models are their capacity to initiate rotation under minimal wind conditions and their versatility to operate effectively regardless of wind direction. This paper explores the innovation of smart hybrid vertical axis wind turbines, which combine drag and lift principles for enhanced performance with a focus on rotor switching mechanisms to optimize performance across varying wind conditions. The methodology involves experimental investigations using a small hybrid Savonius-Darrieus model, with 14cm height and 10cm diameter. The data indicates that the optimal rotor switching occurs at a tip speed ratio of 1.7. The turbine is designed to operate in hybrid mode at tip speed ratios below 1.7 and switch to single Darrieus mode at higher tip speed ratios. Performance evaluation metrics include tip speed ratio, moment coefficient, and power coefficient. Results indicate that the smart hybrid model exhibits superior performance compared to traditional hybrid and single Darrieus configurations. Through empirical studies and computational analysis, the Smart Hybrid model shows significant enhancements, with a 175% increase in initial torque compared to single Darrieus model and a 12.12% improvement in maximum power coefficient compared to traditional hybrid configurations.
Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis Sharif Ali, Sharif Shofirun; Kasavan, Saraswathy; Razman, Muhammad Rizal; Awang, Azahan; Zarco-Periñán, Pedro J.
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60267

Abstract

Despite growing public, academic, and government awareness of the energy consumption issue, there is still little research on the scales and patterns of Household Electricity Consumption (HEC), particularly in developing countries such as Malaysia. Therefore, the present study examines the status of HEC using electricity consumption breakdowns, key performance indicators (KPIs) for electricity consumption and Material Flow Analysis (MFA) by showing potential electricity savings, cost savings, and emission reductions using 5-star energy efficiency appliances. This study used a face-to-face survey of 400 participants in Seremban, the capital city of Negeri Sembilan. The study found that the majority of respondents (49%) consumed about 300-600 kWh/month of electricity with an estimated cost of MYR231.80 per month. Additionally, the study found that households in flats recorded lower average electricity consumption (460.16 kWh/unit) than bungalow households (885.92 kWh/unit) due to respondents’ socio-economic status, the physical size of the houses and the number of appliances owned. The study also revealed that the average energy consumption was higher for refrigerators (9.6 kWh/day) and air conditioners (4.5 kWh/day) due to the use of large amounts of energy to maintain a steady temperature. The material flow analysis shows that energy savings were approximately 22.53%, potential cost savings were MYR12,676.15 per month, and the potential reduction emissions were about 100,759.92 kgCO2e for one month with using EEA compared to non-EEA. The present study empirically discussed the significance of HEC quantification and the opportunity for energy efficiency is critical as a solution for sustainable urban metabolism in a developing country.
Application of day-ahead optimal scheduling model based on multi-energy micro-grids with uncertainty in wind and solar energy and energy storage station Zhang, Hongxin
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60218

Abstract

Multi-energy micro-grid has received widespread attention in the wave of continuous promotion and development of renewable energy. However, in the face of wind and solar uncertainty, its scheduling model needs to be further optimized. Therefore, a multi-energy micro-grid day-ahead optimal scheduling model was proposed to construct wind and solar uncertainty scenarios, and the application of energy storage station was considered. Multiple algorithms were introduced to propose the multi-energy micro-grid day-ahead optimal scheduling model. Finally, the research content was validated. The results confirmed that the wind and solar power output probability model could describe the characteristics of wind and solar power output at different periods. The generated scenes had a large number of wind speeds in the range of 1.5 m/s to 5 m/s, and the light intensity reached its peak at 14:00, which was consistent with the historical data of the research object. In addition, the total pre-scheduling cost of this optimized scheduling model within a day was 45.16×105 yuan, while the actual scheduling cost within a day was only 21.46×105 yuan. It saved costs by 41.65% and 44.95%, respectively, compared to the comparison algorithms. The research has driven innovation and optimization of the multi-energy micro-grid scheduling model. This provides a useful theoretical and practical basis for addressing the uncertainty of wind and solar energy and improving the economic efficiency of energy systems, which is crucial for the sustainable development of new energy.
A framework to assess solar PV irrigation system (SPIS) for sustainable rice farming in Sorsogon, Philippines Escoto, Bryan Encinas; Abundo, Michael Lochinvar
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60445

Abstract

Solar PV irrigation system (SPIS) has proven its potential to impact the agricultural sector. It is known for producing zero GHG emissions, and recent studies have proved its effectiveness compared to fuel-based pumps. However, some factors affecting its operations and economic viability that require further study. This study assessed the viability and sustainability of SPIS for providing rice irrigation in the province of Sorsogon, Philippines. Our objectives were to a) identify the optimal deployment locations, b) determine the most effective energy system configurations for rice irrigation, and c) assess the impact on achieving SDGs. Analysis showed that 17% of the province's total land area is suitable for SPIS deployment. A one-hectare land requires 3.302 kWh of energy per day and a water pump with a peak power of 1.1 kW. The optimal energy configuration provided an annual energy of 8,547 kWh from the Solar PV system and an additional 119 kWh delivered by the diesel generator. This setup demonstrates the lowest net present cost (NPC) of ₱ 1,079,642 and the lowest levelized cost of electricity (LCOE) of ₱ 17.79/kWh. A future SPIS project was assessed to have 27 possible synergies and 3 tradeoffs that impact achieving sustainable development goals (SDGs). The participation of stakeholders, along with local farmers, in discussions about adapting SPIS projects will help ensure the sustainability of the application and the acceptance of the technology. The findings of this study introduced new insights and understanding of the critical aspects of solar PV irrigation system applications.
Unveiling the Nexus: Analyzing foreign direct investment and energy consumption in shaping carbon footprints across Africa’s leading CO2-emitting countries Njie, Yahya; Wang, Weidong; Liu, Lin; Abdullah, .
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60315

Abstract

Carbon emissions have become a pressing global concern because of its contribution to climate change and environmental degradation. Given the urgency to tackle climate change, especially by reducing carbon emissions, this study focuses on Africa’s leading CO2 emitters from 2000 to 2020. The aims of the study are; to examine whether there is evidence of an energy-Kuznets Curve among the leading CO2 emitters in Africa, to examine whether there is evidence of an FDI-Kuznets Curve among the leading CO2 emitters in Africa, and to Identify the turning points. The study employs an innovative analysis of unbalanced panel data utilizing sophisticated econometric techniques, the contemporaneous correlation methodology, which are; the feasible generalized least squares (FGLS), and the panel-corrected standard errors (PCSE) to uncover insights. The results reveal consistency across all employed techniques. The study confirms the existence of an Energy-Kuznets Curve among the leading CO2 emitters in Africa; it also finds evidence of a U-shaped relationship between foreign direct investment and carbon emissions among the leading CO2 emitters in Africa; finally, it also identifies crucial turning points at 2760.12kg and 2886.29kg of oil equivalent per capita for energy use and 6.89% and 6.17% for FDI inflow, respectively. By investigating the factors influencing carbon emissions and evaluating their impacts, our study offers valuable insights for policymakers. These findings can inform the development of targeted interventions to curb emissions intensity, enhance energy efficiency, and foster the adoption of renewable energy sources.
Optimizing aeration rates via bio-methane potential test for enhanced biodrying efficiency of refuse-derived fuel-3 Wahyanti, Eka; Towprayoon, Sirintornthep; Sutthasil, Noppharit; Patumsawad, Suthum; Wangyao, Komsilp
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60361

Abstract

Aeration forms a critical part of the biodrying of refuse-derived fuel-3 (RDF-3) and significantly affects the fuel’s energy potential. Understanding the organic content (OC) of RDF-3 is crucial for determining the optimal aeration strategy. In this study, we conducted a bio-methane potential (BMP) test to estimate the OC by observing the conversion of organic matter into methane (CH₄) and carbon dioxide (CO₂). The observation of BMP was conducted using anaerobic digestion approach where substrate and inoculum are important parameters considered for the success of this test. Various ratios substrate-to-inoculum (S/I) were explored to assess their impact on biogas production, our research involved testing four S/I ratios (0.25, 0.5, 1.0, and 1.5) focusing on identifying the optimal aeration strategy. Based on stoichiometric calculations, the sample’s biogas yield per gram volatile solid indicates RDF-3’s OC is 1.5%. This OC value played a role in establishing the appropriate aeration rate (AR) for the biodrying process, which was determined to be 0.6 m³/kg.day, indicating the action of effective microbial degradation processes. Ensuring the correct AR is vital for maximizing the energy potential of RDF-3. Implementing optimized aeration rates based on the BMP test in waste management practices can significantly improve RDF-3 biodrying efficiency. This approach enhances RDF quality, reduces moisture, increases calorific value, and minimizes greenhouse gas emissions, leading to more sustainable and efficient waste-to-energy conversion.
Assessment of photovoltaic efficacy in antimony-based cesium halide perovskite utilizing transition metal chalcogenide Alghafis, Abdullah; Sobayel, K.
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60282

Abstract

Antimony-based perovskites have been recognized for their distinctive optoelectronic attributes, standard fabrication methodologies, reduced toxicity, and enhanced stability. The objective of this study is to systematically investigate and enhance the performance of all-inorganic solar cell architectures by integrating Cs3Sb2I9, a perovskite-analogous material, with WS2—a promising transition metal dichalcogenide—used as the electron transport layer (ETL), and Cu2O serving as the hole transport layer (HTL). This comprehensive assessment extends beyond the mere characterization of material attributes such as layer thickness, doping levels, and defect densities, to include a thorough investigation of interfacial defect effects within the structure. Optimal efficiency was observed when the Cs3Sb2I9 absorber layer thickness was maintained within the 600-700 nm range. The defect tolerance for the absorber layer was identified at 1×1015/cm3, with the ETL and HTL layers exhibiting significant defect tolerance at 1×1016/cm3 and 1×1017/cm3, respectively. Furthermore, this study calculated the minority carrier lifetime and diffusion length, establishing a strong correlation with defect density; a minority carrier lifetime of approximately 1 µs was noted for a defect density of1×1014/cm3 in the absorber layer. A noteworthy finding pertains to the balance between the high work function of the back contact and the incorporation of p-type back surface field layers, revealing that interposing a highly doped p+ layer between the Cu2O and the metal back contact can elevate the efficiency to 21.60%. This approach also provides the freedom to select metals with lower work functions, offering a cost-effective advantage for commercial-scale applications.
Energy efficient design of rural prefabricated buildings based on ANN and NSGA-II Bai, Chaoqin; Xue, Xiaolin
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60153

Abstract

The growing concern about global climate change and the rapid development of rural areas highlight the need for energy efficient building design. This study aims to establish a multi-objective optimization model based on artificial neural network (ANN) and non-dominated sorting Genetic algorithm II (NSGA-II) to optimize the energy consumption of rural prefabricated buildings. Firstly, ANN and simulation technology are used to build building models and predict building energy consumption. Then, NSGA-II algorithm was used to optimize the energy consumption and material selection of the building, and the best prefabricated building scheme was obtained. The experimental results show that the optimization efficiency of the model is about 95%, which is better than the traditional method. Specifically, compared with the NSGA-II algorithm, the model reduces energy consumption by 16.7%, operating costs by 20.0%, and carbon emissions by 20.0%. When the cost optimization, energy consumption optimization and carbon emission optimization are difficult to balance, the average optimization efficiency of the research design method is about 90% when the cost optimization rate is low, and the other optimization rates are about 85% when the cost optimization rate rises to 50%. When the cost optimization reaches the maximum, the optimization rate remains at about 80%. These results show that the proposed model is robust and efficient. This study provides a comprehensive framework for designing sustainable and energy efficient rural prefabricated buildings that can help reduce energy consumption and environmental impact. It has positive significance in the sustainable development of rural economy and provides a new way of thinking for rural construction.

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