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H Hadiyanto
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hadiyanto@che.undip.ac.id
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ijred@live.undip.ac.id
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CBIORE office, Jl. Prof. Soedarto, SH-Tembalang Semarang
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Jawa tengah
INDONESIA
International Journal of Renewable Energy Development
ISSN : 22524940     EISSN : 27164519     DOI : https://doi.org/10.61435/ijred.xxx.xxx
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.
Articles 709 Documents
Implementation of pumped hydro/photovoltaic systems in mining-degraded areas: a case study in Quadrilátero Ferrífero, Minas Gerais, Brazil Guimarães, Alberto de Almeida Bossi; Bastos, Adriano Silva; Viana, Edna Maria de Faria; Mendes, Victor Flores; Martinez, Carlos Barreira
International Journal of Renewable Energy Development Vol 13, No 4 (2024): July 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60005

Abstract

This work presents a proposal for the transformation of mining-degraded areas into renewable energy installations, converting deactivated mine pits, in the Quadrilátero Ferrífero (QF) region in state of Minas Gerais (MG), Brazil, into reservoirs for Pumped Storage Hydropower (PSH). Additionally, it proposes the alteration of adjacent areas impacted by mining extraction process, through their conversion into Photovoltaic Power Plants (PV). This measure has the potential to turn mining liabilities into sources of energy with lower environmental impact and sustainability for society. This process allows energy to be stored in the form of hydraulic batteries, which can mitigate the effects of intermittency of photovoltaic generation in the electrical grid. The presented methodology involves mapping deactivated mines, calculating the energy potential of the coupled PSH and PV systems, and conducting an economic feasibility study for PSH implementation. The work includes a case study discussing potential local environmental impacts and the energy potentials of this solution. The case study resulted in identifying a suitable pair of mine pits for a PSH in the QF, capable of supplying the electrical grid with approximately 234.3 MW, with the generated energy cost ranging between U$112.26/MWh to U$167.22/MWh. It is concluded that utilizing inactive mines as PSH reservoirs and installing PV in adjacent mining-degraded areas are innovative and technologically feasible strategies. Economically, their implementation will depend on the market price of energy.
Solar adsorption cooling system operating by activated–carbon–ethanol bed Mohammed, Mena Safaa; Farman Alhialy, Nibal Fadel
International Journal of Renewable Energy Development Vol 13, No 3 (2024): May 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60170

Abstract

One efficient way to convert small thermally energized into effective cooling is through adsorption cooling technology, which increases energy efficiency and reduces environmental pollution.  This study's primary goal is to hypothetically examine the thermal coefficient of performing the solar adsorptive refrigerator machine operated with an activating carbon/Ethanol operating dual. The impact of different operating situations and design factors on the machine's performance is inspected and evaluated. The present double-bed solar energy adsorptive-cooler unit is modeled by thermodynamic methodology.  Then, it was analyzed to evaluate its effectiveness work under Baghdad climate conditions. For the current study, the two-bed solar adsorption cooling unit with 0.5 kW capacity input heat 11893 that operates at 5 °C for the evaporator and 45 °C for the condenser is presented. The Engineering-Equation-Solver (EES) simulation program was created and used to solve the modeling equations that predict the optimal cycle performance and evaluate the optimum reasonable values of the operation parameters of the proposed system. The pressure range for the refrigeration cycle is 2.408 kPa for the evaporation state and 23.14 kPa for the condensation state. The findings demonstrate that an optimum coefficient of performance (COP) is 0.702 at 95 °C, a 20% performance increase, which generates 39.4 of cooling water. It produced 1 kg of chilled water for 2.463 kg of activated carbon at a temperature of 5°C. The improved solar-powered adsorption systems and refrigeration technologies are appealing substitutes that can satisfy energy demands in addition to meeting needs for cooling, ice production, air conditioning, and refrigeration preservation and safeguarding of the environment with Iraq's climate conditions.
Current status and potentials of enhanced geothermal system in the Eastern Pontide Orogenic Belt, Turkey Şener, Mehmet Furkan
International Journal of Renewable Energy Development Vol 13, No 3 (2024): May 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60167

Abstract

The radioactive decay of isotopes is one of the most important sources of heat in the Earth's interior. The main radiogenic elements in the crust are U, Th, and K in granitoids. Radiogenic granites are becoming increasingly important as they support the development of the renewable energy sector. This study provides an in-depth review of the development of Enhanced Geothermal Systems (EGS) technology. Many countries, such as France and the UK, have initiated and contributed to energy production using EGS technology. In addition, this study calculates the potential production capacity of radiogenic granites in the Eastern Pontide Oraganic Belt (EPOB) and assesses their significant contribution to the Turkish economy in line with the Sustainable Development Goals (SDGs). The total area of radiogenic granites within the EBOP is 7116.35 km2 and these granites contain average concentrations of U 3.25 ppm, Th 16.44 ppm, and K 3.7%. The plutons studied can generally be classified as medium to low heat producing granitoids. Ayeser, Camiboğazı, and Ayder (3.36-6.98 µW/m3), which are close to the average heat production value of the continental crust (5 μW/m3), may be suitable areas for EGS. Currently, EBOP granites have the capacity to produce 61 x 109 kWh of electricity. In addition to electricity, heat from granites can be used for other applications such as space heating and greenhouse cultivation.
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. 
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.  
Optimization of the PVT performance with various orientations of jets and MFFNN-RSA prediction model for smart buildings Al-Otaibi, Ali; Hatata, Ahmed Y.; Alruqi, Mansoor; Alabdullatief, Aasem; Essa, Mohamed A.
International Journal of Renewable Energy Development Vol 13, No 4 (2024): July 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60129

Abstract

The combined thermal and photovoltaic technology in PV/T systems is considered as a greatly promising technology for smart buildings. Thus, investigations for enhancing the PV/T performance are still proceeding. This research presents an investigation for novel configurations of cooling jets for the PVT system. The linear and circular distribution for the inlet jets considering regular and irregular positioning for all the jets as new cooling configurations are implemented. Moreover, the proposed geometrical configurations are optemized regarding the performance to identify the most suitable configuration that achieves the optimum efficiency and temperature. Furthermore, a novel hybrid ANN model is presented for predicting the performance of the PVT systems. This model combines the multi-feedforward neural network (MFFNN) with an optimization technique called reptile search algorithm (RSA). The proposed model can process the studied parameters to predict the PVT performance parameters (top surface temperature, temperature un-uniformity, outlet temperature, and efficiencies). The proposed MFFNN-RSA model minimized the mean square error to less than 0.4857×10-3. The maximum temperature decrease achieved by the presented configuration reached 60.62K compared to the uncooled case, while the minimum temperature un-uniformity reached 1K and 6K for 400 and 1000 W/m2, respectively. The increase of the ambient temperature found to decrease the temperature un-uniformity in all the cases. The irregular jet with the linear distribution was found to achieve the optimum performance of the overall, thermal, and electrical efficiencies of 63.5%, 49.6%, and 14.25%, respectively. Furthermore, the electricity production cost was reduced by 11.6%, and the yearly CO2 emissions were reduced by 215.3 kg/m2 compared to the normal PV system. The proposed irregular-line distribution of the jets is found to be the best configuration regarding the temperature of the PV model and the overall efficiency considering the pumping losses.
Tidal current power in Capalulu strait, North Maluku: A feasibility study Kurniawan, Alamsyah; Azmiwinata, Maulvi; Pratama, Munawir Bintang; Kusuma, Cahya
International Journal of Renewable Energy Development Vol 13, No 3 (2024): May 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60132

Abstract

The Indonesian government has set goals for increasing the use of renewable energy in the coming years. Currently, Indonesia relies heavily on non-renewable energy sources, which poses a threat to the environment due to the country's growing energy needs. This study aims to assess the potential for developing a tidal power plant in Capalulu Strait, North Maluku. Using hydrodynamic modelling, the study identified two potential locations at coordinates 1.877°S – 125.328°E (Capa-2) and 1.863°S – 125.323°E (Capa-4) which were selected for having median current speeds exceeding 1.8 m/s and maximum current speeds exceeding 3.5 m/s. The study tested a hypothetical implementation of KHPS Gen5 instrument(s) by Verdant Power, a 5 m diameter turbine with a rated nominal power of 37 kW and a maximum rated power of 56 kW. A power plant layout was designed to be placed at Capa-2 and Capa-4, each location accommodating 45 turbines. The development of this power plant is estimated to produce up to 22 GWh per year. Financial analysis resulted in a LCOE of IDR 5,930/kWh. However, this price is still high compared to the national electricity tariff of IDR 1,027.70/kWh. Variations in the number of turbines also may not result in a lower LCOE than the national tariff. Nevertheless, the estimated cost of generating electricity is still competitive compared to diesel, which is around IDR 5,804/kWh.
Effects of CaO addition into CuO/ZnO/Al2O3 catalyst on hydrogen production through water gas shift reaction Hastuti, Zulaicha Dwi; Rosyadi, Erlan; Anindita, Hana Nabila; Masfuri, Imron; Rahmawati, Nurdiah; Rini, Tyas Puspita; Anggoro, Trisno; Prabowo, Wargiantoro; Saputro, Frendy Rian; Syafrinaldy, Ade
International Journal of Renewable Energy Development Vol 13, No 4 (2024): July 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59257

Abstract

Hydrogen is a promising renewable energy carrier and eco-friendly alternative to fossil fuels. Water-gas-shift reaction (WGSR) is commonly used to generate hydrogen from renewable biomass feedstocks. Enriching hydrogen content in synthesis gas (syngas) production can be made possible by applying the WGSR after gasification. WGSR can achieve a maximal carbon monoxide (CO) conversion using a commercially patented CZA (Cu/ZnO/Al2O3) catalyst. This study proposed three in-lab self-synthesized CZA catalysts to be evaluated and compared with the patented catalyst performance-wise. The three catalysts were prepared with co-precipitation of different Cu:Zn:Al molar ratios: CZA-431 (4:3:1), CZA-531 (5:3:1) and CZA-631 (6:3:1). The catalysts characteristics were determined through X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) analysis and Scanning Electron Microscopy (SEM) techniques. CO gas was mixed with steam in a catalytic reactor with a 3:1 molar ratio, running continuously through the catalyst at 250 °C for 30 mins. All three catalysts, however, performed below expectations, where CZA-431 had a CO conversion of 77.44%, CZA-531 48.75%, and CZA-631 71.67%. CaO, as a co-catalyst, improved the performance by stabilizing the gas composition faster. The CO conversion of each catalyst also improved: CZA-431 improved its CO conversion to 97.39%, CZA-531 to 96.71%, and CZA-631 to 95.41%. The downward trend of the CO conversion was deemed to be caused by copper content found in CZA-531 and CZA-631 but not in CZA-431, which tended to form a Cu-Zn metal complex, weakening the catalyst's activity.
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.

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