International Journal of Renewable Energy Development
The scope of journal encompasses: Photovoltaic technology, Solar thermal applications, Biomass, 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 and management The journal was first introduced in February 2012 and regularly published online three times a year (February, July, October).
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<![CDATA[Experimental Investigation of Bladeless Power Generator from Wind-induced Vibration ]]>
<![CDATA[La Ode Ahmad Barata]]>;
<![CDATA[Kiwata Takahiro]]>;
<![CDATA[Toshiyuki Ueno]]>;
<![CDATA[Samhuddin Samhuddin]]>;
<![CDATA[La Hasanudin]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.43888
<![CDATA[The power harvester unit from flow-induced vibration (FIV) was designed to harness energy from low flow velocity based on the magnetostrictive effect on the galfenol (Fe – Ga alloy) strip induced by the oscillating bluff body. This study aimed to investigate the cross-section variation’s effect on the FIV characteristics and the magnetostrictive material’s performance for the bladeless power generator. The generator model’s vibration characteristics and performance tests were conducted in the wind tunnel test using the wind-receiving unit (WRU) variation. The results showed that the resonance reduced-velocity (Vr) were around 3.7 and 4.0 for rectangular and circular cylinders, respectively. Furthermore, the effect of rectangular depth variation on the power generation output is linear to the test models’ displacement rate and vibration frequency. The harvester’s maximum power generation was 5.25 mW, achieved using the rectangular prism with depth D = 0.4H. The power coefficient was also evaluated for different wind-receiving models. The harvester model lit up 54 LED lamps in the wind tunnel test. The voltage output is sufficient to provide electric power resources for an IoT system, sensor, and wearable or wireless devices. The harvester model successfully generated a voltage signal under the initial field test with an ambient wind velocity of 0.9 – 2.71 m/s. Therefore, this study recommends the development of bladeless power generators in the future.]]>
<![CDATA[The Effect of Wood Tar and Molasses Composition on Calorific Value and Compressive Strength in Bio-coke Briquetting ]]>
<![CDATA[Erlina Yustanti]]>;
<![CDATA[Abrar Muharman]]>;
<![CDATA[Anggoro Tri Mursito]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.39298
<![CDATA[Biomass-based materials have the potential to replace conventional cokes for blast furnaces in the steel manufacturing study. Biomass as a renewable energy source can reduce the consumption of coking coal. The current challenge is saving fossil energy and waste management. The steelmaking industry with environmentally friendly processes and high energy efficiency is expected today. Many researchers have partially developed biomass as an alternative renewable resource to replace fossil fuels. This study aimed to determine the effect of composition the blending ratio of wood tar and molasses as a binder on the calorific value and compressive strength of bio-coke. The carbonization of redwood waste to produce high-quality charcoal was carried out at 500 °C with a kiln rotation speed of 20 rpm and a slope of 5°. The resulting charcoal showed a promising result with a 23.87 MJ/kg calorific value. The carbonization process of the redwood increased the fixed carbon value by up to 130% and the calorific value by 40%. The second part of this study focuses on bio-coke production by blending coking coal with redwood charcoal at 90:10 wt%. The coking coal and the redwood charcoal particle sizes were 40 and 50 mesh, respectively. A 15 wt% binder was added to increase the compressive strength of the bio-coke. The binder composition ratios of molasses: wood tar were 15:0, (12.5:2.5), and 10:5 wt%. The briquette was pressed using a cylinder die with a height: diameter ratio of 2.7:5.0 cm, then compacted up to 20 MPa followed by heating at 1100 °C for four hours. The bio-coke with a binder composition of 2.5 wt% wood tar + 12.5 wt% molasses produced a compressive strength of up to 5.57 MPa with a sulfur content of 0.8 wt% and produced a calorific value of 31.25 MJ/kg with an ash content of 9.6%. The study showed that the bio-coke produced meets some requirements for steelmaking industry.]]>
<![CDATA[A Green Heterogeneous Catalyst Production and Characterization for Biodiesel Production using RSM and ANN Approach ]]>
<![CDATA[Aditya Kolakoti]]>;
<![CDATA[Muji Setiyo]]>;
<![CDATA[Muhammad Latifur Rochman]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.43627
<![CDATA[In this work, naturally available moringa oleifera leaves (also known as horseradish trees or drumstick trees) are chosen as a heterogeneous catalyst in the transesterification for biodiesel production from palm oil. The dry moringa oleifera leaves are calcinated at 700 °C for 3 hours to improve their adsorbing property. The calcinated catalyst characterization analysis from XRD and EDX highlights the presence of calcium, potassium, and other elements. Response surface method (RSM) optimization and artificial neural network (ANN) modeling were carried out to elucidate the interaction effect of significant process variables on biodiesel yield. The results show that a maximum biodiesel yield of 92.82% was achieved at optimum conditions of catalyst usage (9 wt.%), molar ratio, methanol to triglyceride (7:1), temperature (50 °C) and reaction time (120 min). The catalyst usage (wt.%) was identified as a significant process variable, followed by the molar ratio. Furthermore, the biodiesel’s significant fuel properties in terms of thermal, physical, chemical, and elemental match the established standards of ASTM. Finally, when the catalyst was reused for five cycles, more than 50% of the biodiesel yield was achieved.]]>
<![CDATA[MATLAB/Simulink Based Instantaneous Solar Radiation Modeling, Validation and Performance Analysis of Fixed and Tracking Surfaces for the Climatic Conditions of Lahore City, Pakistan ]]>
<![CDATA[Naseer Ahmad]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.38748
<![CDATA[Mathematical modeling, simulation and experimental validation of instantaneous solar radiation is conducted in this article. The input parameters of the developed model are solar constant, latitude & longitude of the selected site, collector surface azimuth and elevation angle. The whole model is developed in MATLAB/Simulink and plots global radiation for any selected day of the year. To validate the model, actual data from RETScreen (energy management software) is taken and compared with the predicted data from developed model. During the whole year the predicted specific insolation is 226.65 MJ/m2/day and actual is 202.14 MJ/m2/day. The percentage error of the predicted data is 10.8% higher than the actual data. The validated model is used to calculate the monthly received solar radiation energy for the fixed surface and tracking surface. The yearly harvested solar energy by horizontal, yearly and monthly optimal tilt surfaces are 6828 MJ/m2, 7405 MJ/m2 and 7761 MJ/m2 respectively. Yearly insolation gain of the yearly optimal tilt and monthly optimal tilt collector surface is 8% and 14% as compared to the energy harvested by horizontal surface. For the single and dual axis tracking surfaces, yearly harvested energy is 8843 MJ/m2 and 9374 MJ/m2 respectively and this figure is 30% and 37% more as compared to the horizontal surface. If the insolation received by yearly optimal tilt is considered as reference value, then energy gain for monthly tilt, single and dual axis tracking is recorded as 5%, 19% and 27% respectively]]>
<![CDATA[Public Support for Feed-in-Tariff and Net Energy Metering Policies in Malaysia: The Role of Policy Information ]]>
<![CDATA[Fatimah Azzahraa' Mohd Sobri]]>;
<![CDATA[Mariani Ariffin]]>;
<![CDATA[Amir Hamzah Sharaai]]>;
<![CDATA[Mohd Amran Radzi]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.44820
<![CDATA[Renewable energy (RE) policies have proven to be an effective tool for implementing RE. Despite various policies introduced, the RE deployment in Malaysia has been weak, especially individual RE uptake. Lack of policy support has been linked with inadequate policy awareness and information based on the knowledge deficit theory. This study investigates the support for the Feed-in-Tariff (FiT) and Net Energy Metering (NEM) policy of individual solar photovoltaic (PV) technology among landed residents in Malaysia and the effect of information provision on policy support. A Solomon-four-group design was employed to measure policy support and test the relationship between information provision and policy support using a set of Likert scale questionnaires and a poster of FiT and NEM policy prepared in layman's terms as an intervention. Results show that majority of the residents agree with the environmental mission of the policy, except for the reduction of fossil fuel usage. For the economic aspect, the residents prefer a fixed rate for RE produced and generally agreed that high electricity consumers should pay for the RE fund. However, residents were less enthusiastic about the percentage deducted from electricity bills and the 'high electricity consumer' baseline. There was a significant difference between items scores at pre and post-test when given the intervention, in line with the deficit theory. Therefore, policy information should be communicated strategically, focusing on thepolicy's social and economic components that have the greatest influence on Malaysians.]]>
<![CDATA[Solar Tracking System with Photovoltaic Cells: Experimental Analysis at High Altitudes ]]>
<![CDATA[Elmer Rodrigo Aquino Larico]]>;
<![CDATA[Angel Canales Gutierrez]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.43572
<![CDATA[There is currently an urgent need to study the application of solar energy to photovoltaic systems due to the need to produce electricity; indeed, maximizing the performance of solar energy promotes efficient and sustainable energy systems. The objective of this study was to determine the photovoltaic performance of a dual-axis solar tracker based on photovoltaic cells with different inclination angles at high altitudes above 3800 m.a.s.l. A solar tracking system activated by two linear actuators was implemented to automatically follow the trajectory of the sun during the day, and the results were compared with those from a fixed photovoltaic system. In addition, due to the climatic variation in the area, photovoltaic cells installed at different inclination angles were used to maximize electricity production and processed by a programmable logic controller (PLC). Finally, principal component analysis (PCA) was used to determine the factors that influenced the performance of the photovoltaic system during the experimental period. The results showed that the maximum monthly performance of the solar tracker was 37.63% greater than that of the fixed system, reaching 10.66 kWh/m2/d on sunny days in peak sun hours (PSH). On days with frequent rain and clouds, the partial yield was less than 14.38%, with energy production during PSH of 6.54 kWh/m2/d. Therefore, in this high-altitude area, the performance of the solar tracker was greater from July to October; from November to February, the performance was reduced due to the occurrence of rain.]]>
<![CDATA[Effect of Different Hydrothermal Temperatures on the Properties on Nano-Silica (SiO2) of Rice Husk ]]>
<![CDATA[Irzaman Irzaman]]>;
<![CDATA[Irmansyah Irmansyah]]>;
<![CDATA[Siti Aisyah]]>;
<![CDATA[Nazopatul Patonah Har]]>;
<![CDATA[Aminullah Aminullah]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.43904
<![CDATA[Rice husk has high silica (SiO2) content and can be used as the primary material for making nano-silica. One of the methods for synthesizing nano-silica was the hydrothermal method. The objective of this study was to synthesize nano-silica from rice husks by observing the effect of temperature in the hydrothermal process on the structure, electrical and particle properties of nano-silica. The hydrothermal process temperature was 150, 200, and 250 °C for 4 hours. The results showed that all nano-silicas were in the amorphous phase. The particle size was in the range of 0.16-13.49 nm with more uniform size distribution on nano-silicas of 200 °C and 250 °C than nano-silica at 150 °C. These three nano-silicas were included in the semiconductor category by increasing temperature and frequency. In addition, these treatment variations resulted 200 °C for 4 hours and pressure of 2 atm as the optimum treatment for manufacturing nano-silica of rice husk ash. This nano-silica could be used as semiconductor material for electronic industry.]]>
<![CDATA[Short Term Solar Irradiation Forecasting using CEEMDAN Decomposition Based BiLSTM Model Optimized by Genetic Algorithm Approach ]]>
<![CDATA[Anuj Gupta]]>;
<![CDATA[Kapil Gupta]]>;
<![CDATA[Sumit Saroha]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.45314
<![CDATA[An accurate short-term solar irradiation forecasting is requiredregarding smart grid stability and to conduct bilateral contract negotiations between suppliers and customers. Traditional machine learning models are unable to acquire and to rectify nonlinear properties from solar datasets, which not only complicate model formation but also lower prediction accuracy. The present research paper develops a deep learningbased architecture with a predictive analytic technique to address these difficulties. Using a sophisticated signal decomposition technique, the original solar irradiation sequences are decomposed into multiple intrinsic mode functions to build a prospective feature set. Then, using an iteration strategy, a potential range of frequency associated to the deep learning model is generated. This method is developed utilizing a linked algorithm and a deep learning network. In comparison with conventional models, the suggested model utilizes sequences generated through preprocessing methods, significantly improving prediction accuracywhen confronted with a high resolution dataset created from a big dataset.On the other hand, the chosen dataset not only performs a massive data reduction, but also improves forecasting accuracy by up to 20.74 percent across a range of evaluation measures. The proposed model achieves lowest annual average RMSE (1.45W/m2), MAPE (2.23%) and MAE (1.34W/m2) among the other developed models for 1-hr ahead solar GHI, respectively, whereas forecast-skill obtained by the proposed model is 59% with respect to benchmark model. As a result, the proposed method might be used to predict short-term solar irradiation with greater accuracy using a solar dataset]]>
<![CDATA[A Brief Study on the Implementation of Helical Cross-Flow Hydrokinetic Turbines for Small Scale Power Generation in the Indian SHP Sector ]]>
<![CDATA[Jayaram Vijayan]]>;
<![CDATA[Bavanish Balac Retnam]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.45249
<![CDATA[This article addresses the simulation and experiments performed on a Gorlov Helical Turbine (GHT) by altering the index of revolution of its helical blades. Gorlov Helical Turbine is a hydrokinetic turbine that generates energy from the perennial/tidal source. The paper serves a two-fold purpose: parametric optimisation of Gorlov Helical Turbine with respect to the index of revolution and viability of installing the turbines in river creeks. Nine models of turbines with a diameter of 0.600 m and a height of 0.600 m were generated with different indices of revolution and then subjected to simulation studies. A significant rise in the output torque of the turbine was not observed with the various indices of revolution, even as the probability of finding a section at every azimuthal position is likely to rise. Gavasheli's solidity ratio formula was used to formulate an expression for the output power. The output power as per analytical formulation is 1.11 W, which is of the order of output power obtained through simulation (0.951 W). The studies suggest that 0.25 remains the optimum value for the index of revolution of the helical blades. A model with 0.25 as the index of revolution was fabricated and tested at a river creek. The results were found to agree with the simulations accounting for the losses. The study results could encourage setting up hydrokinetic turbines in river creeks, thereby increasing the grid capacity of SHPs in India.]]>
<![CDATA[Operational Planning and Design of Market-Based Virtual Power Plant with High Penetration of Renewable Energy Sources ]]>
<![CDATA[Zahid Ullah]]>;
<![CDATA[Muhammad Baseer]]>
<![CDATA[ International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022 ]]>
Publisher : <![CDATA[Center of Biomass & Renewable Energy, Diponegoro University ]]>
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DOI: 10.14710/ijred.2022.44586
<![CDATA[Renewable energy sources (RESs) are becoming more prevalent as a source of clean energy, and their integration into the power market is speeding up. The fundamental reason for this is the growing global concern about climate change. However, their weather-dependent and uncertain nature raise questions about grid reliability particularly, when photovoltaics (PVs) and wind turbines (WTs) technologies are used. As a result, rationally managing Energy Storage Systems (ESSs) under the virtual power plant (VPP) setting is being encouraged as a way of minimizing the impact of the uncertain nature of renewable energies. A VPP is comparatively a new concept that aggregates the capacities of dispatchable and non-dispatchable energy sources, electrical loads, and energy storage systems for the purpose of improving energy supply and demand imbalance. It enables individual consumers and producers to participate in the power markets. In this study, a new market-based (MB)-VPP operational planning model is designed and developed with the aim to evaluate the optimal active power dispatched by (WT, PV, and ESS) operating in the day-ahead power market to maximize the social welfare (SW) of the market. SW can be described as the maximization of the consumer’s benefit function minus the cost of energy generation. The optimization process was carried out by using a scenario-based approach to model the uncertainties of renewable energy sources (i.e, WTs & PVs) and load demand. The proposed model and method performance is validated by simulation studies on a 16-bus UK generic distribution system (UKGDS). The simulation results reveal that the proposed approach maximizes overall system social welfare. The capacity of total active power dispatched by (WT, PV, and ESS) has a positive impact on the VPP profit maximization. This empirical study could be used as a reference baseline model for other energy services providers interested in conducting similar research in the future.]]>
