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International Journal of Renewable Energy Development
Published by Universitas Diponegoro
ISSN : 22524940     EISSN : 27164519     DOI : https://doi.org/10.14710/ijred
Core Subject : Science,
Chemistry Energy
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).
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 17 Documents
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Search results for , issue "Vol 12, No 6 (2023): November 2023" : 17 Documents clear
Effect of natural dye combination and pH extraction on the performance of dye-sensitized photovoltaics solar cell Estiningtyas, Indri Wasa; Kusumawati, Nita; Setiarso, Pirim; Muslim, Supari; Rahayu, Nunik Tri; Safitri, Riska Nur; Zakiyah, Nafisatus; Fachrirakarsie, Fadlurachman Faizal
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.56172

Abstract

Dyes are significant components in Dye Sensitized Solar Cell (DSSC) performance because they act as photosensitizers. Natural dye-based DSSC system fabrication innovations continue to be produced in an effort to improve DSSC performance efficiency. In this study, a DSSC system was developed using double components of natural dyes as natural photosensitizers to enhance DSSC efficiency. This method of making natural dye-based DSSC uses a combination of dye extracts from two different dye sources that have the potential as natural photosensitizers in DSSC. The research aims to investigate the impact of the combined use of two natural dyes and pH variations on DSSC performance. DSSC performance measurements encompass the short-circuit current (Isc), open-circuit voltage (Voc), and DSSC efficiency parameters. The obtained results indicate efficiency values for dyes (a) sappan wood/ethanol and turmeric/methanol; (b) turmeric/methanol and beetroot/ethanol; and (c) beetroot/ethanol and turmeric/distilled water. At neutral pH, the efficiency values are 2.09%, 2.10%, and 2.19%, respectively. Meanwhile, at acidic pH of 2.59%; 2.39%; and 2.71%. Notably, the dye efficiency values at acidic pH surpass those found at neutral pH conditions. The highest efficiency is observed in the combination of dye (c) beetroot/ethanol and turmeric/distilled water with efficiency reaching 2.71% at acidic pH.
Evaluating the role of operating temperature and residence time in the torrefaction of betel nutshells for solid fuel production Kitrungloadjanaporn, Pongpathai; Sang, Le Quang; Pukdum, Jirasak; Phengpom, Tinnapob
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.58228

Abstract

This research addresses the urgent need for sustainable bioenergy alternatives, specifically evaluating betel nutshells as potential replacements for conventional biomass materials like coconut and palm fibers. The objective of the study was to gauge the inherent bioenergy potential of betel nutshells through an investigation of torrefaction under varying conditions, specifically temperatures ranging from 200-300 °C and residence times between 20-60 minutes in an inert environment. In this study, proximate analyses were utilized to investigate essential characteristics including moisture content, volatile matter, ash content, and fixed carbon, while a bomb calorimeter was used to determine their higher heating values. Initial results indicated that untreated betel nutshells had higher heating values and compositional similarities to coconut and palm fibers, highlighting their potential as a bioenergy source. Advanced torrefaction processes, involving increased temperatures and extended residence times, raised the fixed carbon content and reduced moisture in betel nutshells, thereby optimizing their higher heating value. This improvement is attributed to the decomposition of covalent bonds in the biomass structures, leading to the release of volatile compounds and consequent reductions in both oxygen-to-carbon and hydrogen-to-carbon ratios. Remarkably, at an operating temperature of 300 °C and a residence time of 60 minutes, torrefied betel nutshells reached a higher heating value of 25.20 MJ/kg, marking a substantial 31.39 % increase compared to untreated specimens. This study conclusively positions betel nutshells, typically considered agricultural waste, as competitive alternatives to traditional biomass resources in the biofuel industry.
Performance analysis of hybrid PV-diesel-storage system in AGRS-Hassi R’mel Algeria Mahmoudi, Ahssen; Bouaziz, Amina Manel; Bouaziz, Mohamed Najib; Saheb-Koussa, Djohra
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.54072

Abstract

The main research paper focuses on the optimal hybrid system using HOMER software in the central plant of Hassi R’mel. Indeed, the system is composed of PV panels, a battery bank, and a diesel engine, all of which are used to supply an industrial load. Hence, the present work proposes a solution to optimize the power generated by the power sources, maximize the photovoltaic source use, and minimize the use of the battery bank and the diesel generator. Moreover, the solution aims to guarantee the safe operation of the system components and continuity in the load power supply. These objectives are performed by the minimization of a cost function, in which the power generation cost, the energetic balance, and the environmental parameters are taken into consideration. Among the five solutions, the most optimal system obtained is PV/Diesel/batteries /Grid. This system consists of 1200 KW PV, an 1100 KW diesel generator, 800 units of battery, and an 1100 KW converter. Therefore, to supply the station with 49% of electricity by PV and 51% by diesel while the reduction of emissions is 60%, and 708020 liters of diesel is saved. Applying the sensitivity analysis also showed that renewable resources have an impact on the sizing of PV. When solar radiation increases, the size of renewable energy decreases and the NPC decreases as well. It can, thus, be illustrated that the PV/diesel/battery system is not fully-optimal. This strategy is recommended for industrial system security since it can be used to ensure systems from an energetic and economic point of view. 
Retraction Notice to Control of Bidirectional DC-DC Converter for Micro-Energy Grid’s DC Feeders' Power Flow Application, IJRED 11(2), 533-546 Hadiyanto, H
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.57139

Abstract

Refers to: RETRACTED: Control of Bidirectional DC-DC Converter for Micro-Energy Grid’s DC Feeders' Power Flow Application. International Journal of Renewable Energy Development, Volume 11(2), May 2022, Pages 533-546 Muhammad Hammad Saeed, Wang Fangzong,  Basheer Ahmed Kalwar ------------------------------------------------------------------------------------------------------------------------------- 
Unlocking Africa’s solar and wind energy potential: A panel data analysis on the determinants of the production of electricity through solar and wind energy de Vries, Martina Gintarė
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.52563

Abstract

With growing global concerns about and attention drawn to climate change, there is a pressing need to transition towards sustainable practices to live more harmoniously with the environment. To mitigate future climate changes, many support and pursue the uptake of renewable energy to slowly shift to a more electricity powered world. Africa, richly endowed with the potential of solar and wind, stands at a pivotal point with the opportunity to develop through electricity generated by renewable. Therefore, this research delves into the complexity of 25 factors influencing the production of solar and wind-powered electricity within the continent. Through a panel data analysis conducted for the years of 2010 till 2019, the study identifies several determinants to have positive and negative effects. Results highlight the intertwined nature of regional challenges and opportunities, emphasizing that political stability, socio-economic dynamics, sound national strategies, and environmental and international commitments play pivotal roles in determining the trajectory of solar and wind energy integration in Africa’s electricity mix. Notably the study underscores that a uniform approach across Africa is insufficient, instead tailored national and foreign strategies based on regional specifics found within this study are imperative for maximizing renewable energy adoption. 
Experimental investigation on the performance of a pyramid solar still for varying water depth, contaminated water temperature, and addition of circular fins Yuvaperiyasamy, Mayilsamy; Senthilkumar, Natarajan; Deepanraj, Balakrishnan
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.57327

Abstract

The experimental investigation was meant to investigate the effect of water depth in the basin, the water temperature at the inlet of solar still, and adding circular fins to the pyramid solar still on freshwater output. The investigation was divided into three sections. The first area of research is to study effect of increasing water depth in the solar still, which ranged from 2 to 6 cm, second section concentrated on varying the inflow water temperature from 30 to 50ºC, and third section investigated the influence of incorporating circular fins into the solar still basin on the water output and quality. The experimental findings showed that basin depth considerably impacts freshwater flow. The highest significant difference, 38%, was recorded by changing the water level in the basin from 2 to 6 cm. Freshwater yielded the most at a depth of 2 cm, totalling 1250.3 mL, followed by 1046 mL at a depth of 3 cm. A water depth of 4 cm produced 999 mL, whereas a water depth of 5 cm made 911 mL. The lowest production occurred at a water depth of 6 cm, producing 732 mL; furthermore, including fins at the bottom increased productivity by 8.2%. Elevating the temperature from 30 to 50ºC of the inlet water led to a water output increase of 15.3% to 22.2%. These findings underscore the profound potential of harnessing solar energy to address global water challenges and pave the way for further advancements in efficient freshwater production
Photovoltaic power prediction based on sky images and tokens-to-token vision transformer Dai, Qiangsheng; Huo, Xuesong; Su, Dawei; Cui, Zhiwei
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.57902

Abstract

Photovoltaic (PV) power generation has high uncertainties due to the randomness and imbalance nature of solar energy and meteorological parameters. Hence, accurate PV power forecasts are essential in the operation of PV power plants (PVPP) for short-term dispatches and power generation schedules. In this paper, a new deep neural network structure based on vision transformer is proposed to combine sky images and Tokens-To-Token（T2T） for photovoltaic power prediction. The method uses an incremental tokenization module to aggregate neighboring image patches into tokens, which capture the local structural information of the clouds. Then, an efficient T2T-ViT backbone network is used to extract the global attentional relationships of the tokens for power prediction. In order to evaluate the performance of the proposed model, the method was compared with several deep learning architectures such as ResNet and GoogleNet on a dataset collected by the National Renewable Energy Laboratory in Colorado, USA. The results of power prediction were analysed using training loss, prediction error, and linear regression, and they show that the proposed method achieves higher prediction accuracy and lower error compared to the existing methods, especially in short- and ultra-short-term prediction. The paper demonstrates the potential of applying Transformer models to computer vision tasks for renewable energy forecasting. The results show that the proposed method achieves higher prediction accuracy and lower error than several deep learning architectures, such as ResNet and GoogleNet, especially in short- and ultra-short-term prediction.

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