International Journal of Renewable Energy Development
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.
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<![CDATA[Building energy consumption prediction method based on Bayesian regression and thermal inertia correction ]]>
<![CDATA[Huiling Su]]>;
<![CDATA[Meimei Duan]]>;
<![CDATA[Zhong Zhuang]]>;
<![CDATA[Yunlong Bai]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.58012
<![CDATA[The accurate prediction of building energy consumption is a crucial prerequisite for demand response (DR) and energy efficiency management of buildings. Nevertheless, the thermal inertia and probability distribution characteristics of energy consumption are frequently ignored by traditional prediction methods. This paper proposes a building energy consumption prediction method based on Bayesian regression and thermal inertia correction. The thermal inertia correction model is established by introducing an equivalent temperature variable to characterize the influence of thermal inertia on temperature. The equivalent temperature is described as a linear function of the actual temperature, and the key parameters of the function are optimized through genetic algorithm (GA). Using historical energy usage, temperature, and date type as inputs and future building energy comsuption as output, a Bayesian regression prediction model is established. Through Bayesian inference, combined with prior information on building energy usage data, the posterior probability distribution of building energy usage is inferred, thereby achieving accurate forecast of building energy consumption. The case study is conducted using energy consumption data from a commercial building in Nanjing. The results of the case study indicate that the proposed thermal inertia correction method is effective in narrowing the distribution of temperature data from a range of 24.5°C to 36.5°C to a more concentrated range of 26.5°C to 34°C, thereby facilitating a more focused and advantageous data distribution for predictions. Upon applying the thermal inertia correction method, the relative errors of the Radial Basis Function (RBF) and Deep Belief Network (DBN) decreases by 2.0% and 3.1% respectively, reaching 10.9% and 7.0% correspondingly. Moreover, with the utilization of Bayesian regression, the relative error further decreases to 4.4%. Notably, the Bayesian regression method not only achieves reduced errors but also provides probability distribution, demonstrating superiority over traditional methods.]]>
<![CDATA[Numerical simulation of a novel small water turbine generator for installation in a deep-flow hydroponics system ]]>
<![CDATA[Werayoot Lahamornchaiyakul]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.58247
<![CDATA[Hydroponics systems are crucial for providing sustainable and cost-effective choices when soils are unavailable for conventional farming. The application of water flow rates within hydroponics systems to generate electricity is another idea that can be used in the field of power generation. This paper presents the determination of the mechanical power efficiency of a novel small water turbine generator for use in a deep-flow hydroponics system (DFT). The system was designed, analysed, and calculated for the most suitable geometries of the water pipeline inlet, DFT system, main structure of the PVC Tee Pipe Fitting, and a water turbine wheel using computational fluid dynamics software. The diameter of the water turbine wheel in this research was 48 mm. A DFT hydroponic system was modelled for the purposes of this research. We conducted a numerical simulation with water flow rates of 6, 8, and 10 l/min to evaluate the turbulent kinetic energy distribution in the DFT hydroponic system. The numerical simulation employed the control volume methodology, and the k-epsilon turbulence model was applied to obtain the computational conclusions. The highest torque and power that a novel small water turbine for installation in a DFT system could generate at a maximum flow rate of 0.000167 m3/s were 0.082 N.m. and 1.9568 watts, respectively. The forces generated by the fluid's speed and pressure can then be transferred to the building process of a novel small water turbine wheel. The FEA numerical result shows that the maximum value of the total deformation at a wheel speed of 228 rpm is 7.0 x 10-5 mm. The numerical simulations used in this study could potentially be used to further develop prototypes for innovative miniature water turbines that generate commercial electricity.]]>
<![CDATA[Optimization and management of flare gases through modification of knock-out drum HP flares by 4R approach based on 3E structures ]]>
<![CDATA[Ali Ahmadzadeh]]>;
<![CDATA[Alireza Noorpoor]]>;
<![CDATA[Gholamreza Nabi Bidhendi]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.56524
<![CDATA[The goal of this study is the optimization and management of flare gases through the modification of knock-out drum HP flares. The optimization of the K.O.D. is to create a shell around it and inject water steam into the shell, so that a uniform temperature distribution has done inside the drum, so freezing does not occur, and liquid that drops inside the burner, does not burn. The result of the simulations showed that in the drainage part of the drum, humidity associated with inlet gas freezes upon entering it after pressure and temperature drop suddenly. In the drainage part of the drum and the entrance of water steam with a temperature of 438 K and relative pressure of 550,000 Pa, the freezing of the coating part of it is eliminated. Finally, the water steam with liquid water caused by the heat transfer between the steam, and the bottoms of the drum is out from its drainage part. In the following, two issues were examined. First, simulating the drum to prove the insufficient power of the electric heater at the entrance of the drum. Second, simulating the drum with its surrounding cover in order to eliminate possible freezing. As the result, this work simulated and optimized the K.O.D. flare system to reduce valuable and toxic gas which burned in the flare system and caused environmental, economic, and social effects. This modelling optimized 8 points to add optimum heat flux and used a water steam jacket to prevent the formation of a freezing zone. The optimum zone around the bottom of K.O.D. steam injected this zone and observed no ice formation occurred in this zone. The steam jacket creates uniform heating by using this design and steam injection to the outer wall of the drum. For many reasons, the implementation of this project will reduce smoke and flare pollution: Inhibition of freezing in the liquid outlet of the K.O.D., the liquid level inside the drum remains constant and prevents the transfer of liquid droplets associated with the exhaust gas to the flare.]]>
<![CDATA[Assessing the potential tsunami source of the Manila trench at the Bengkayang nuclear power plant site in Kalimantan using topographical details ]]>
<![CDATA[Sugeng Pribadi]]>;
<![CDATA[Widjo Kongko]]>;
<![CDATA[Nurkhalis Rahili]]>;
<![CDATA[Fauzi Fauzi]]>;
<![CDATA[Hadi Suntoko]]>;
<![CDATA[Sapto Nugroho]]>;
<![CDATA[Sunarko Sunarko]]>;
<![CDATA[Telly Kurniawan]]>;
<![CDATA[Euis Etty Alhakim]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.57967
<![CDATA[Tsunamis pose a significant threat to the construction of Nuclear Power Plants. Therefore, it is necessary to carry out a comprehensive study regarding the potential threat of tsunamis and mitigation measures using detailed data at prospective locations. This assessment is a prerequisite for effective environmental impact planning and analysis. To determine the suitability of a prospective location, careful consideration of natural factors, including earthquakes as triggers for tsunamis, is essential. The main objective of this tsunami research is to assess the level of safety of potential locations against tsunami hazards and develop appropriate mitigation strategies. This research uses the Cornell Multigrid Coupled Tsunami (COMCOT) tsunami modeling technique. This modeling approach utilizes topographic and bathymetric data obtained through extensive field surveys. In addition, this research aims to determine the maximum tsunami height in the inundation area and identify potential tsunami hazards arising from various scenarios related to the active tectonic potential of the Philippine Manila Trench. The Bengkayang Gosong Beach area and West Kalimantan are among the candidate locations that may be affected with the estimated tsunami height being between 0.48 meters and 0.62 meters. The tsunami arrival time was between 9 hours 10 minutes to 9 hours 24 minutes. These findings play an important role in conducting comprehensive risk assessments for nuclear power plant development, ensuring that necessary steps are taken to reduce potential hazards associated with tsunamis.]]>
<![CDATA[Grey wolf optimization and incremental conductance based hybrid MPPT technique for solar powered induction motor driven water pump ]]>
<![CDATA[Divya Shetty]]>;
<![CDATA[Jayalakshmi Narayana Sabhahit]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.57096
<![CDATA[The use of Solar Powered Water Pumps (SPWP) has emerged as a significant advancement in irrigation systems, offering a viable alternative to electricity and diesel-based pumping methods. The appeal of SPWPs to farmers lies in their low maintenance costs and the incentives provided by government agencies to support sustainable and cost-effective agricultural practices. However, a critical challenge faced by solar photovoltaic (PV) systems is their susceptibility to power loss under partial shading conditions, which can persist for extended periods, ultimately reducing system efficiency. To address this issue, this paper proposes the integration of Maximum Power Point Tracking (MPPT) controllers with efficient algorithms designed to identify the peak power during shading events. In this study, a hybrid approach combining Grey Wolf Optimization (GWO) and Incremental Conductance (INC) is employed to maximize the power output of SPWPs driven by an induction motor under partial shading conditions. In order to achieve faster convergence to the global peak, GWO handles the first stages of MPPT and then INC algorithm is employed at the end of the MPPT process. This method reduces the computations of GWO and streamlines the search space. The paper evaluates the performance of the induction motor in terms of speed settling time and torque ripple. To validate the effectiveness of the GWO-INC hybrid approach, simulations are conducted using the MATLAB Simulink platform. The outcomes are then compared with results obtained from various well-known approaches, including Particle Swarm Optimization – Perturb and Observe (PSO-PO), PSO-INC, and GWO-PO, illustrating the superiority of the GWO-INC hybrid approach in enhancing the efficiency and performance of solar water pumps during shading. The GWO-INC excels with 99.6% accuracy in uniform shading and 99.8% in partial shading. It achieves convergence in a mere 0.55 seconds under uniform shading conditions and only 0.42 seconds when partial shading is present. Moreover, it significantly reduces torque oscillations, with a torque ripple of 8.26% in cases of uniform shading and 10.56% in partial shading.]]>
<![CDATA[Critical interpretation and analysis to correlate the canopy height to collector diameter ratio for optimized design of solar chimney power plants ]]>
<![CDATA[Iylia Elena Abdul Jamil]]>;
<![CDATA[Hussain H. Al-Kayiem]]>;
<![CDATA[Sundus S. Al-Azawiey]]>;
<![CDATA[Aseel K. Shyaa]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.57689
<![CDATA[The collector's periphery height determines the entrance size to the solar chimney power plant. There is inconsistency in the published experimental and numerical results on the optimum collector inlet height for different collector diameters. This paper aims to analyze the available data to identify the best collector inlet height-to-diameter ratio and to introduce a design guide for an optimized performance of solar chimney power plants. The experimental data reported in previous works have been clustered and manipulated to produce a comparative argument on the collector inlet height-to-diameter. In addition, a numerical model is developed to support the literature conclusions and to produce further data to decide the optimum collector inlet height-to-diameter ratio. For a 6.6-m collector diameter, four different inlets have been investigated, namely, 0.05, 0.1, 0.15, and 0.2 m. The best performance in terms of air velocity and temperature rise is obtained with the 0.05-m inlet height, where it shows an improvement of up to 35.35% compared to the larger inlet heights. The lower collector inlet height allows a more effective heat transfer from the ground and the collector to the air. It is concluded that the optimum collector inlet height-to-diameter design ratio for solar chimneys with collector diameters larger than 3 m is 0.0075±0.0005. For small-scale solar chimney models with less than 3 m collector diameter, the best collector inlet height-to-diameter ratio ranges between 0.015 and 0.03.]]>
<![CDATA[Numerical and experimental investigations on a bladeless turbine: Tesla's cohesion-type innovation ]]>
<![CDATA[Malayathi Sivaramakrishnaiah]]>;
<![CDATA[Dhanaraj Savary Nasan]]>;
<![CDATA[Prabhakar Sharma]]>;
<![CDATA[Thanh Tuan Le]]>;
<![CDATA[Minh Ho Tran]]>;
<![CDATA[Thi Bich Ngoc Nguyen]]>;
<![CDATA[Phuoc Quy Phong Nguyen]]>;
<![CDATA[Viet Dung Tran]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.55455
<![CDATA[The design, numerical simulation, manufacturing, and physical experimentation of Tesla's bladeless centripetal turbine for electrical power production are the topics of this research project. The turbine generates rotational motion in the discs by directing pressurized air and water tangentially across parallel smooth disc surfaces. The fluid speed parameter at the nozzle inlet determines the power generated. To ensure optimal mechanical design parameters, SolidWorks design software, fluid dynamics concepts, and machine element design were employed. The numerical simulation software ANSYS CFX was used. The numerical and qualitative findings of the models and physical experiments coincided well. The study revealed that the power production and turbine efficiency were regulated by the input sources and blade size. Variations in the fluid composition between the discs may additionally have an impact on the outcomes. The researchers investigated the connection between input fluid pressure and turbine efficiency, as well as the number of discs and turbine power. The prototype could generate 76.52 W of electricity at 50 bar pressure and 1.01e+05 Reynolds number. The operation was efficiently simulated using CFD, with only a 9.3% difference between experimental and simulated results. Overall, this research provides an in-depth assessment of Tesla's bladeless centripetal turbine. It verifies the design and numerical simulation methodologies used, as well as identifies the essential aspects impacting turbine performance and efficiency. The findings contribute to a better understanding of the turbine's behavior and give ideas for improving its performance.]]>
<![CDATA[Site suitability analysis of wind energy resources in different regions of Algeria’s southwestern highland ]]>
<![CDATA[Fatima Zohra Bochra Amrani]]>;
<![CDATA[Salah Marih]]>;
<![CDATA[Ibrahim Missoum]]>;
<![CDATA[Fatima Boutlilis]]>;
<![CDATA[Benaissa Bekkouche]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.56476
<![CDATA[This paper presents a site suitability analysis for a 20 MW wind farm project in western Algeria’s highlands. The aim is to improve the quality of the electricity grid’s service and increase Algeria’s renewable energy utilization. The wind potential of three regions, Mecheria, El Kheiter, and Naâma, was evaluated using the Weibull function and the wind atlas analysis and application program (WAsP) with a ten-year database (2011-2021) at 10 m hub height. The assessment encompassed a comprehensive analysis of various wind resource parameters, including mean wind speed, prevailing direction, and power densities. In comparison to other sites, the Mecheria region has the best wind potential, with a mean annual wind speed of 6.31 m/s, a power density of 283 W/m2, and Weibull parameters A = 7.1 m/s and k = 2.02. These promising results prompted us to design a wind farm in this region using Power Wind 90/2000 kW turbine technology facing the predominant wind directions of the site, producing 103.91 GWh of total annual gross energy produced (gross AEP) and 103.75 GWh of total annual net energy produced (net AEP). Finally, it appears that the wind resources in the selected region are well-suited for electricity generation, offering a promising opportunity to reduce the country's dependence on fossil fuels.]]>
<![CDATA[Kinetic and thermodynamic study of composite with jute fiber as reinforcement ]]>
<![CDATA[Edja Florentin Assanvo]]>;
<![CDATA[Kicoun Jean-Yves N’Zi Toure]]>;
<![CDATA[Kanga Marius N’Gatta]]>;
<![CDATA[David Boa]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2023.54407
<![CDATA[In the present work, engineered by compression molding process via a hydraulic press, the A and B composite samples were carried out with 5% and 10% ratio respectively of Ricinodendron heudelotii oil-based alkyd resin in bio-based matrix made of unsaturated polyester using jute fibers as reinforcement material. The samples’ thermal decomposition was performed through thermogravimetry (TG) and derivative thermogravimetry (DTG) analyses. Both composite samples exhibit two stages of decomposition, where the main occurs at 200 - 550°C. Aiming to study and being able to model the thermal degradation of the elaborated composites, finding the kinetic triplets appears the best option to describe the kinetic process undergo by the composites in order to evaluate the performance application of the composites. Two non-isothermal techniques, Flynn-Wall-Ozawa (FWO) and Kissinger have been used to assess the activation energy Ea, and it is found that the apparent activation energy varies with the degree of conversion indicating that both composites decompose with a multiple step mechanism process. The appropriate reaction model for the second stage of decomposition was best suited with Johnson-Mel-Avrami (n<1) model and has been established, allowing us to model thermal degradation behavior of our elaborated composite material and set predictions. The estimated Arrhenius factor values were respectively about A and B composites, 4.12.1015 min-1 and 10.42.1015 min-1, allowing us to set the final equation characterizing the degradation process for the second and main decomposition stage. Finally, as a result of comparison between A and B composites, A appears to be the more thermally stable due to its lower values of Arrhenius pre-exponential factor over the main stage of decomposition and higher calculated the activation energy values.]]>
<![CDATA[Enhancing microbial fuel cell performance with carbon powder electrode modifications for low-power sensors modules ]]>
<![CDATA[Mohammed Adel Al-badani]]>;
<![CDATA[Peng Lean Chong]]>;
<![CDATA[Heng Siong Lim]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 13, No 1 (2024): January 2024 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2024.58977
<![CDATA[Microbial Fuel Cell (MFC) is a promising technology for harnessing energy from organic compounds. However, the low power generation of MFCs remains a significant challenge that hinders their commercial viability. In this study, we reported three distinct modifications to the stainless-steel mesh (SSM), carbon cloth, and carbon felt electrodes using carbon powder (CP), a mixture of CP and ferrum, and a blend of CP with sodium citrate and ethanol. The MFC equipped with an SSM and CP anode showed a notable power density of 1046.89 mW.m-2. In comparison, the bare SSM anode achieved a maximum power density of 145.8 mW m-2. Remarkably, the 3D-modified SSM with a CP anode (3D-SSM-CP) MFC exhibited a substantial breakthrough, attaining a maximum power density of 1417.07 mW m-2. This achievement signifies a significant advancement over the performance of the unaltered SSM anode, underscoring the effectiveness of our modification approach. Subsequently, the 3D-SSM-CP electrode was integrated into single-chamber MFCs, which were used to power a LoRaWAN IoT device through a power management system. The modification methods improved the MFC performance while involving low-cost and easy fabricating techniques. The results of this study are expected to contribute to improving MFC's performance, bringing them closer to becoming a practical source of renewable energy.]]>
