cover
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
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 783 Documents
Enhance EV Station Charge and Discharge Based on Deep Learning Forecasting Method Incorporating Renewable Energy Sources and Multi-Objective Optimization Algorithm Delu Li
International Journal of Renewable Energy Development Accepted Articles
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2026.61916

Abstract

Electric vehicle charging stations must be efficient and sustainable to meet increasing demand. This exploration recommends the incorporation of RESs, energy storage systems (ESS), and vehicle-to-grid (V2G) technology to boost charging and discharging operations using DL-based forecasting. The framework predicts energy generation, electric vehicle (EV) demand, and storage dynamics using an RNN to capture non-linear relationships and temporal dependencies. The model optimizes charge and discharge cycles in real time to reduce grid reliance, operational costs, and emissions, while accounting for energy pricing and grid stress. The system incorporates solar and wind energy generation along with fuel cells and battery storage to create a coordinated configuration that adapts to fluctuations in renewable energy availability. Battery storage retains excess energy during periods of low demand and high renewable availability, while V2G technology enables EVs to supply energy back to the grid during peak demand, improving grid stability and operational efficiency. This hybrid setup reduces dependency on the grid, particularly during periods of high costs and emissions. A comprehensive simulation is conducted using data that includes solar, wind, and load profiles, in addition to real-time pricing and grid conditions. Outcomes showcase a 6.7% drop in operational costs and a 4.4% decrease in emissions compared to the baseline scenario. Utilizing battery energy storage systems (BESS) and V2G technology enables better grid load balancing, especially during peak demand periods. This article presents a novel methodology for optimizing EV charging and discharging, offering a sustainable, economical, and scalable solution for future energy infrastructures.
Effect of Hydrogen Co-firing on Combustion Efficiency, Steam Production, and Emissions of a B7 Diesel Water-tube Boiler: An Experimental and Semi-empirical Combustion Modeling Study Pongsakorn Kachapongkun
International Journal of Renewable Energy Development Accepted Articles
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2026.62817

Abstract

Hydrogen co-firing is a near-term decarbonization option for industrial steam boilers in Southeast Asia, where B7 diesel (a 7% palm-oil FAME blend) is the mandated fuel, yet experimental evidence in this class of equipment remains limited. We report a controlled experimental campaign on a 1,000 kg/hr water-tube boiler (Kawasaki 15750) at H₂/diesel energy ratios from 0 to 30%, with four steady-state replicates per condition. We interpret these measurements with a calibrated PSR/PFR combustion model with extended Zeldovich NOₓ kinetics and a 2D axisymmetric CFD simulation. At 30% H₂, steam output rose 24.3% (323.8 → 402.4 kg/hr) with diesel feed held constant; combustion air was trimmed by supplemental O₂ to hold stoichiometry roughly constant as the H₂ ratio climbed (contributing ~10–15% of the NOₓ rise). CO₂ intensity per kg steam fell 20.1% (202.5 → 161.9 g/kg), CO dropped 73.2% (106.5 → 28.5 ppmv), and estimated NOₓ rose ~64% (NO₂-derived; see §2.3), consistent with thermal-NOₓ amplification. System efficiency (ASME PTC 4.1 Direct Method) peaked at 93.42% near 5% H₂ and declined to 87.45% at 30% H₂. Second-order polynomial correlations (Eqs. 6–9, R² ≈ 0.96–0.99) give compact screening rules, and the CFD model reproduced the measured trends. A fuel-cost-only sensitivity at 2026 Thai market prices (excluding capital, storage, and safety costs) puts the fuel-cost-favourable window at about 12% H₂; under the IRENA Green Hydrogen trajectory, this window expands to the full 0–30% range by 2030. At low-fire operation, H₂ co-firing is a practical retrofit option for B7 diesel water-tube boilers, with NOₓ as the principal trade-off.
An integrated interval-valued q-Rung Orthopair fuzzy DEMATEL–Choquet integral framework for prioritizing investment drivers of green energy in marine sector: A case study in Vietnam Hoang Thai Pham; Chau Thuy Long Dang; Loi Quoc Le; Ngan Phuong Nguyen; Hung Van Bui; Hoang Phuong Nguyen
International Journal of Renewable Energy Development Vol 15, No 5 (2026): September 2026
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2026.63055

Abstract

With the rising demand for energy, the commitments to decarbonization and international regulations in the marine sector, the move towards sustainable maritime energy systems has become a strategic priority for Vietnam. It is thus important to understand what the most important investment drivers are in order to help with evidence-based policy development and effective resource allocation. This study aims to build an integrated framework using interval-valued q-rung orthopair fuzzy (IVq-ROF) DEMATEL and Choquet Integral methods to assess and prioritize the fourteen investment criteria that affect Vietnam's maritime energy economy. The expert judgements were gathered using the IVq-ROF linguistic assessment framework, which is used to capture uncertainty and interdependence between the criteria. DEMATEL method was used to identify causal relationships and the importance of the evaluation criteria, and the Choquet integral was used to include the interaction effects to arrive at final importance weights. The results show that three top investment priorities are the government incentives and financial support (0.095), the port energy infrastructure readiness (0.085) and compliance with IMO and national regulations (0.084). Stakeholder acceptance (0.046) and skilled workforce availability (0.054) have comparatively lower interaction adjusted importance, respectively. DEMATEL causal analysis identified port energy infrastructure investment cost (C1) as the strongest driving factor (highest D−R), whereas the interaction-aware Choquet ranking identified government incentives and financial support (0.095), port energy infrastructure readiness (0.085), and compliance with IMO and national regulations (0.084) as the three highest overall investment priorities. The proposed framework well reflects the linkages between economic, technical, environmental, regulatory, and social aspects and offers guidance for practical implementation of the maritime energy transition in Vietnam through integrated investment planning and sustainable infrastructure development to achieve the transition faster.

Filter by Year

2012 2026


Filter By Issues
All Issue Vol 15, No 6 (2026): November 2026 Vol 15, No 5 (2026): September 2026 Vol 15, No 4 (2026): July 2026 Vol 15, No 3 (2026): May 2026 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