cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
H Hadiyanto
Contact Email
hadiyanto@che.undip.ac.id
Phone
-
Journal Mail Official
ijred@live.undip.ac.id
Editorial Address
CBIORE office, Jl. Prof. Soedarto, SH-Tembalang Semarang
Location
Kota semarang,
Jawa tengah
INDONESIA
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 709 Documents
 38   39   40   41   42 
Effect of Compression Ratio on Performance and Emission Characteristics of Dual Spark Plug Ignition Engine Fueled With n-Butanol as Additive Fuel Ravikumar Ramegouda; Antony Alappath Joseph
International Journal of Renewable Energy Development Vol 10, No 1 (2021): February 2021
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2021.32364

Abstract

Renewable energy called normal-butanol is a possible alternative fuel for automobile vehicles like some other possible fuel such as compressed natural gas (CNG), liquid petroleum gas (LPG), ethanol, and methanol. Bio-butanol or normal-butanol is also a meritable energy source to substitute for regular fossil fuels. The normal-butanol has recently started to use as a possible substitute fuel to regular fuels for internal combustion engines to attain eco-friendly and capital benefits. As compared to regular energy sources in internal combustion engines, normal-butanol has some benefits, so it shows the potential to decrease tailpipe emission andan increase in positive network delivery. The current work carried out to investigate the performance and emission characteristics of dual spark plug ignition engine fuelled with normal-butanol as additive fuel by adopting 10:1 and 10.5:1compression ratios. The experimental results reveal that when compared between 10:1 and 10.5:1 compression ratios, brake power (BP) is increased by 3.5% and 3.2% for normal-Butanol 35 (nB35) blend and energy efficiency increased by 2.72% and 2.14% for nB35 blend at a part and full load for 10.5:1 compression ratio. The n-butanol create a greater impact on tailpipe emissions that the carbon monoxide (CO) decreased by 32%, 29%, and hydrocarbon (HC) reduced by 2.38% and 2.22% for nB35 blend at a part and full load condition respectively. The experimental results on dual spark ignition engine using n-butanol as additive fuel by varying compression ratioreveals that n-butanol can be a suitable replacement energy source for the automobile sector in the nearest future.
Techno-Economic Evaluation of Solar Irrigation Plants Installed in Bangladesh Najmul Hoque; Amit Roy; Mohd. Rafiqul Alam Beg; B. K. Das
International Journal of Renewable Energy Development Vol 5, No 1 (2016): February 2016
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.5.1.73-78

Abstract

In the summer season, irrigation sector in Bangladesh suffers a lot due to the country wide electricity crisis. Solar pump offers a clean and simple alternative to the conventional fuel fired engine or grid electricity driven pump in this regard to resolve the issue. In this paper, the techno-economic analyses of solar irrigation plants installed in Bangladesh are evaluated.  It was observed that systems were running around 70% to 80% of the rated power which was quite acceptable. A 10 hp pump was able to pump 600 liter of water per minute which was also satisfactory to irrigate the land. Average operating time was found to be 8 hour/day. It was found that the overall efficiency of the systems were in between 11.39% to 16.52% whereas the typical average value of lit/Wp/year was 9200. On the other hand, the cost of irrigation to cultivate paddy in 0.161 hectares’ land for one season was 1,750 BDT by solar irrigation which was found to be lower than that of other available modes. This charge for grid electricity based irrigation was about 3,000 to 3500 BDT per 0.161 hectares’ and 2,300 to 2,600 BDT per 0.161 hectares’ for diesel engine based irrigation. According to the current financial scheme (15% equity investment, 35% credit support and remaining 50% from government through IDCOL) the average value of payback period was 5.43 years, NPV in the range from 7 to 15% and IRR was 18%. By considering 100% equity investment, however, these projects were not economically attractive. The payback period for this case was about 18 years. Study also revealed that each solar irrigation plant reduces 42.8 kg of CO2 emission per day compare to diesel engine operated pump and 2566.24 kg/day compared to grid electricity operated pump. A comprehensive effort from the Government as well as from all the stakeholders is required for further expansion of solar irrigation plants in Bangladesh. Article History: Received Sept 05, 2015; Received in revised form Dec 15, 2015; Accepted February 2, 2016; Available onlineHow to Cite This Article: Hoque, N., Roy, A., Beg, M.R.A. and Das, B.K. (2016) Techno-Economic Evaluation of Solar Irrigation Plants Installed in Bangladesh. Int. Journal of Renewable Energy Development, 5(1), 73-78.http://dx.doi.org/10.14710/ijred.5.1.73-78 
A Green Heterogeneous Catalyst Production and Characterization for Biodiesel Production using RSM and ANN Approach Aditya Kolakoti; Muji Setiyo; Muhammad Latifur Rochman
International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2022.43627

Abstract

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.
Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS Esso-Wazam Honoré Tchandao; Akim Adekunlé Salami; Koffi Mawugno Kodjo; Amy Nabiliou; Seydou Ouedraogo
International Journal of Renewable Energy Development Vol 12, No 2 (2023): March 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.50104

Abstract

This work uses bottom-up modeling to explore the future evolution trajectories of the electricity mix in Togo by 2050. The objective is to investigate the evolution of the mix and the future investments needed to achieve the sustainable energy and climate change goals. Three scenarios were developed using OSeMOSYS. The reference scenario, named Business As Usual, closely reflects the evolution of the Togolese electricity sector under a business-as-usual assumption and planned capacity increases up to 2030. The second scenario, Net Zero by 2050, is based on the first scenario while ensuring that CO2 emissions cancel out in 2050 by following the Weibull law. The third scenario called Emission Penalty aims not only at the integration of renewable energies like the second one but also at the least cost electricity mix if emission penalties are applied. The results of the cost optimization indicate that photovoltaic and importation are the optimal choices ahead of gas and hydropower. The renewable energy aspect of the electricity mix is more highlighted in the last scenario. At the same time, the model shows that greater energy independence is achievable at the cost of a transitory increase in the cost of the electricity system. A tenfold investment effort is needed in 2030 to ensure either continuity of the status quo or a shift in strategy.
Estimating mixture hybrid Weibull distribution parameters for wind energy application using Bayesian approach Agbassou Guenoupkati; Adekunlé Akim Salami; Yao Bokovi; Piléki Xavier Koussetou; Seydou Ouedraogo
International Journal of Renewable Energy Development Vol 12, No 5 (2023): September 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.54452

Abstract

The Weibull distribution function is essential for planning and designing wind-farm implementation projects and wind-resource assessments. However, the Weibull distribution is limited for those areas with high frequencies of calm winds. One solution is to use the hybrid Weibull distribution. In fact, when the wind speed data present heterogeneous structures, it makes sense to group them into classes that describe the different wind regimes. However, the single use of the Weibull distribution presents fitting errors that should be minimized. In this context, mixture distributions represent an appropriate alternative for modelling wind-speed data. This approach was used to combine the distributions associated with different wind-speed classes by weighting the contribution of each of them. This study proposes an approach based on mixtures of Weibull distributions for modelling wind-speed data in the West Africa region. The study focused on mixture Weibull (WW-BAY) and mixture hybrid Weibull (WWH-BAY) distributions using Bayes' theorem to characterize the wind speed distribution over twelve years of recorded data at the Abuja, Accra, Cotonou, Lome, and Tambacounda sites in West Africa. The parameters of the models were computed using the expectation-maximization (E-M) algorithm. The parameters of the models were estimated using the expectation-maximization (E-M) algorithm. The initial values were provided by the Levenberg-Marquardt algorithm. The results obtained from the proposed models were compared with those from the classical Weibull distribution whose parameters are estimated by some numerical method such as the energy pattern factor, maximum likelihood, and the empirical Justus methods based on statistical criteria. It is found that the WWH-BAY model gives the best prediction of power density at the Cotonou and Lome sites, with relative percentage error values of 0.00351 and 0.01084. The energy pattern factor method presents the lowest errors at the Abuja site with a relative percentage error value of -0.54752, Accra with -0.55774, and WW-BAY performs well for the Tambacounda site with 0.19232. It is recommended that these models are useful for wind energy applications in the West African region.
High Performance MPPT Approach for Off-Line PV System Equipped With Storage Batteries and Electrolyzer Yaser Nawwaf Anagreh; Ayat Alnassan; Ashraf Radaideh
International Journal of Renewable Energy Development Vol 10, No 3 (2021): August 2021
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2021.34131

Abstract

The current publication is directed to achieve a high-performance stand-alone PV system having the capability of tracking maximum output power, providing fixed output DC voltage, and attaining efficient system utilization, under different irradiation levels. A new maximum power point tracking (MPPT) approach integrating the incremental conductance algorithm and fuzzy logic control, and enhanced with PI-controller, was proposed to track maximum power. To provide fixed output DC voltage and approaching full system utilization, the PV system is equipped with a battery bank, electrolyzer; as a dump load, and buck-boost converter, with two controllers. The results of the proposed MPPT technique; modified incremental conductance (MINC), are compared with the corresponding results of three prevalently implemented MPPT algorithms: perturbed and observed (P&O), modified variable step-size P&O (VSZ-PO) and the ordinarily incremental conductance (INC). The highest output power, best tracking efficiency and best output power response are achieved by utilizing the proposed MPPT method. The results of the output voltage response and electrolizer on/off states confirm the ability of the PV scheme to provide fixed DC voltage and attain efficient system utilization, under varying irradiances.
Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm. (On-Line Harmonics Estimation Application) Eyad K Almaita; Jumana Al shawawreh
International Journal of Renewable Energy Development Vol 6, No 1 (2017): February 2017
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.6.1.9-17

Abstract

In this paper, an adaptive Radial Basis Function Neural Networks (RBFNN) algorithm is used to estimate the fundamental and harmonic components of nonlinear load current. The performance of the adaptive RBFNN is evaluated based on the difference between the original signal and the constructed signal (the summation between fundamental and harmonic components). Also, an extensive investigation is carried out to propose a systematic and optimal selection of the Adaptive RBFNN parameters. These parameters will ensure fast and stable convergence and minimum estimation error. The results show an improving for fundamental and harmonics estimation comparing to the conventional RBFNN. Also, the results show how to control the computational steps and how they are related to the estimation error. The methodology used in this paper facilitates the development and design of signal processing and control systems.Article History: Received Dec 15, 2016; Received in revised form Feb 2nd 2017; Accepted 13rd 2017; Available onlineHow to Cite This Article: Almaita, E.K and Shawawreh J.Al (2017) Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm (On-Line Harmonics Estimation Application).  International Journal of Renewable Energy Develeopment, 6(1), 9-17.http://dx.doi.org/10.14710/ijred.6.1.9-17
Microgrids for rural schools: An energy-education accord to curb societal challenges for sustainable rural developments Abhi Chatterjee; Alan Brent; Ramesh Rayudu; Piyush Verma
International Journal of Renewable Energy Development Vol 8, No 3 (2019): October 2019
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.8.3.231-241

Abstract

Quality education and schools have a key role to play in the sustainable development of society. Unfortunately, many remote communities in developing countries fail to enjoy access to quality education due to a lack of electricity, thereby interrupting regular school services in the villages. The main objective of the paper contributes to understanding the importance of the energy-education accord, and aims to curb the social challenges prevailing in the villages. Specifically, the paper suggests a technical intervention by designing a hybrid renewable energy system for such schools. The approach is demonstrated through a case study with a load demand of approximately 4 kWh/d, comprising a class size of 40 students. A techno-economic evaluation of the energy system reveals the levelized cost of energy of the system at USD 0.22 per kWh, which may be affordable considering number of other aspects, outlined in this paper, to enable a larger uptake of such systems in developing countries. ©2019. CBIORE-IJRED. All rights reserved
Demand response based microgrid's economic dispatch Muhammad Hammad Saeed; MD Sohel Rana; MD Kausaraahmed; Claude Ziad El-Bayeh; Fangzong Wang
International Journal of Renewable Energy Development Vol 12, No 4 (2023): July 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.49165

Abstract

The development of energy management tools for next-generation Distributed Energy Resources (DER) based power plants, such as photovoltaic, energy storage units, and wind, helps power systems be more flexible. Microgrids are entities that coordinate DERs in a persistently more decentralized fashion, hence decreasing the operational burden on the main grid and permitting them to give their full benefits. A new power framework has emerged due to the integration of DERs-based microgrids into the conventional power system. With the rapid advancement of microgrid technology, more emphasis has been placed on maintaining the microgrids' long-term economic feasibility while ensuring security and stability. The objective of this research is to provide a multi-objective economic operation technique for microgrids containing air-conditioning clusters (ACC) taking demand response into account. A dynamic price mechanism is proposed, accurately reflecting the system's actual operational status. For economic dispatch, flexible loads and air conditioners are considered demand response resources. Then, a consumer-profit model and an AC operating cost model are developed, with a set of pragmatic constraints of consumer comfort. The generation model is then designed to reduce the generation cost. Finally, a microgrid simulation platform is developed in MATLAB/Simulink, and a case is designed to evaluate the proposed method's performance. The findings show that consumer profit increases by 69.2% while ACC operational costs decrease by 18.2%. Moreover, generation costs are reduced without sacrificing customer satisfaction.
Soybean Opportunity as Source of New Energy in Indonesia M. Muchlish Adie; Ayda Krisnawati
International Journal of Renewable Energy Development Vol 3, No 1 (2014): February 2014
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.3.1.37-43

Abstract

These last few years, the name of soybeans soared as a source of biodiesel. Soy biodiesel is an alternative fuel produced from soybean oil. Soybean potential as an alternative renewable energy source because it is expected to have the highest energy content compared to other alternative fuels. Opportunities to develop biodiesel using soybean oil in Indonesia is quite large, considering the soybean is a commodity that is already known and widely cultivated almost in all over Indonesia. In addition, the use of soybean for biofuel feedstock is expected to motivate farmers to cultivate soybeans, so their use is not limited to non-energy raw materials. Soybean varieties that have a high oil content as well as high yield is a source of major biodiesel feedstock. From 73 soybean varieties that have been released in Indonesia, has an average oil content of 18%. Varieties with high oil content can be used as raw material for biodiesel. Research on the use of soy as an ingredient of energy crops (biodiesel) have been carried out. In fact, soybean oil is the vegetable oil feedstock for most of the biodiesel being produced in the United States today. With the potential for soybean crops in Indonesia, both in terms of availability of land and varieties, the use of soybean oil for biofuel development in Indonesia is the flagship prospective materials for bio fuel substitute than other plants in the future.

Page 40 of 71 | Total Record : 709

 38   39   40   41   42 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 15, No 2 (2026): March 2026 Vol 15, No 1 (2026): January 2026 Vol 14, No 6 (2025): November 2025 Vol 14, No 5 (2025): September 2025 Vol 14, No 4 (2025): July 2025 Vol 14, No 3 (2025): May 2025 Vol 14, No 2 (2025): March 2025 Vol 14, No 1 (2025): January 2025 Accepted Articles Vol 13, No 6 (2024): November 2024 Vol 13, No 5 (2024): September 2024 Vol 13, No 4 (2024): July 2024 Vol 13, No 3 (2024): May 2024 Vol 13, No 2 (2024): March 2024 Vol 13, No 1 (2024): January 2024 Vol 12, No 6 (2023): November 2023 Vol 12, No 5 (2023): September 2023 Vol 12, No 4 (2023): July 2023 Vol 12, No 3 (2023): May 2023 Vol 12, No 2 (2023): March 2023 Vol 12, No 1 (2023): January 2023 Vol 11, No 4 (2022): November 2022 Vol 11, No 3 (2022): August 2022 Vol 11, No 2 (2022): May 2022 Vol 11, No 1 (2022): February 2022 Vol 10, No 4 (2021): November 2021 Vol 10, No 3 (2021): August 2021 Vol 10, No 2 (2021): May 2021 Vol 10, No 1 (2021): February 2021 Vol 9, No 3 (2020): October 2020 Vol 9, No 2 (2020): July 2020 Vol 9, No 1 (2020): February 2020 Vol 8, No 3 (2019): October 2019 Vol 8, No 2 (2019): July 2019 Vol 8, No 1 (2019): February 2019 Vol 7, No 3 (2018): October 2018 Vol 7, No 2 (2018): July 2018 Vol 7, No 1 (2018): February 2018 Vol 6, No 3 (2017): October 2017 Vol 6, No 2 (2017): July 2017 Vol 6, No 1 (2017): February 2017 Vol 5, No 3 (2016): October 2016 Vol 5, No 2 (2016): July 2016 Vol 5, No 1 (2016): February 2016 Vol 4, No 3 (2015): October 2015 Vol 4, No 2 (2015): July 2015 Vol 4, No 1 (2015): February 2015 Vol 3, No 3 (2014): October 2014 Vol 3, No 2 (2014): July 2014 Vol 3, No 1 (2014): February 2014 Vol 2, No 3 (2013): October 2013 Vol 2, No 2 (2013): July 2013 Vol 2, No 1 (2013): February 2013 Vol 1, No 3 (2012): October 2012 Vol 1, No 2 (2012): July 2012 Vol 1, No 1 (2012): February 2012 More Issue