http://apc.aast.edu/ojs/index.php/RESD

Renewable Energy and Sustainable Development Journal, 9 Abou Qear, Abu Qir Al Gharbeyah, Alexandria Governorate, Montaza 2 (2026)

19/05/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

A smart hybrid optimization model for DSSE in renewable energy-powered distribution networks
Reem R. Elbanna, Mohamed H. ElMessmary, Hatem Diab, Mahmoud Abdelsalam
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1271

Abstract

Accurate Distribution System State Estimation (DSSE) is essential for the reliable and efficient operation of modern power distribution networks, especially with the increasing pe*******on of renewable energy sources (RES) such as solar photovoltaics (PV) and wind energy. However, the nonlinearities, unbalanced loads, bidirectional power flows, and incomplete measurements in these networks present significant challenges. The integration of distribut-ed generation (DG) units further complicates traditional DSSE methods, requiring advanced optimization tech-niques to enhance estimation accuracy. This paper introduces a novel hybrid optimization algorithm that combines Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Egyptian Stray Dog Optimization (ESDO) to ad-dress these challenges in renewable-rich DSSE environments. The hybrid PSO-GA-ESDO algorithm leverages the global search capabilities of PSO, the evolutionary principles of GA, and the adaptive social behavior of ESDO, en-suring robust optimization with faster convergence and higher accuracy. The proposed methodology is imple-mented on the IEEE 13-bus system using MATLAB simulations, focusing on minimizing discrepancies between measured and estimated state variables while accounting for the variability of distributed renewable generation. Simulation results demonstrate that the hybrid PSO-GA-ESDO algorithm outperforms conventional optimization methods in terms of estimation accuracy, convergence speed, and robustness to noisy and incomplete measure-ments, even in scenarios with high renewable energy pe*******on. These findings highlight the proposed approach as an effective and scalable solution for DSSE in unbalanced, DG-integrated distribution networks, enhancing grid reliability, stability, and efficient real-time monitoring in modern smart and sustainable energy systems.
Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showTocv

11/05/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

Experimental investigation of axial-flow turbine performance using water and oil: effects of rotation speed, blade count, and oil pre-heating
Mays Subhi Sadeq, Muna S. Kassim
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1445

Abstract

This experimental research looks at the hydraulic performance and efficiency of axial-flow turbines under a range of operating situations, with an emphasis on comparing the impacts of water and oil as working fluids. Experiments were done with turbines that had 3, 4, and 5 blades at both low (100 rpm) and high (2000 rpm) speeds. We also looked at how oil pre-heating affects things by changing the oil temperature up to 98°C. The results reveal that oil improves the amount of mechanical power and head generated, especially at higher speeds and blade counts. However, it also increases the pressure drop since it is thicker. Pre-heating oil makes things work much better, and the 5-blade turbine design may get up to 37% better under the best circumstances. Moderate flow rates and higher oil temperatures provide the best hydraulic efficiency, which shows how important the qualities of the working fluid and the operating conditions are for turbine performance. These results provide useful advice on how to get the most performance out of turbines used in industrial energy recovery.
Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

26/04/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

Super capacitor-enhanced neural control (SENCO) for power quality optimization in wind turbine-integrated microgrids
Rutuja S. Hiware, P. M. Daigavane
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1279

Abstract

Wind-integrated microgrids face significant challenges in power flow management, voltage control, and stability due to fluctuating nature of wind energy. To address these issues, the proposed Super Capacitor-Enhanced Neural Control (SENCO) system integrates supercapacitors directly into Unified Power Quality Conditioners (UPQCs). This innovative approach compensates for power variations caused by wind intermittencies and grid failures. SENCO system leverages an Artificial Neural Network (ANN)-based Pulse Width Modulation (PWM) control approach to boost power management efficiency and enhance network stability. By incorporating an energy storage component and a dynamic control mechanism, the system adapts to varying conditions, ensuring stable operation and consistent energy quality. Furthermore, optimization techniques are applied to improve system efficiency and responsiveness, offering a robust solution for managing energy generation and distribution variations. The proposed SENCO model demonstrates significant advancements by maintaining grid voltage stability at 400 V with minimal fluctuations and balancing load voltage at 200 V. It effectively mitigates disturbances with compensation currents reaching ±500 A. Moreover, the grid current Total Harmonic Distortion (THD) is significantly reduced from 28.46% without UPQC to much lower levels, while the load current and voltage THDs are maintained at 4.82% and 4.77%, respectively. These outcomes underscore the model’s ability to substantially enhance power quality and ensure reliable energy delivery in wind-integrated microgrids. By addressing critical challenges associated with wind energy intermittency and grid reliability, SENCO provides a comprehensive and efficient solution for advancing renewable energy integration into microgrids.

Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

01/04/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc
Innovative fuzzy VIKOR approach for green hydrogen technologies assessment: implications for sustainable energy development
Fadoua Tamtam, Amina Tourabi
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1283

Abstract

The urgent pursuit of sustainable energy solutions has accelerated advancements in green hydrogen technologies. This study employs the Fuzzy VIKOR method to systematically assess three alternatives—Electrolyzer Technology, Biomass Gasification Technology, and Photovoltaic Electrolysis Technology—using twelve critical criteria, such as Environmental Impact and Technological Innovation. The findings underscore Photovoltaic Electrolysis Technology as the most balanced option, excelling in environmental and cost-effectiveness aspects, thus offering promising insights for stakeholders, policymakers, and society in reducing emissions and combating climate change. This research, despite limitations in data, presents a pioneering use of Fuzzy VIKOR in green hydrogen evaluation, paving the way for informed decision-making in sustainable energy development.

Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

04/03/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

The role of eusideroxylon zwageri seed oil addition on changing triglyceride geometry and physical properties of crude palm oil PDF
Syahruddin Syahruddin, Randis Randis, Hasmina Tari Mokui, Edi Widodo
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1351

Abstract

This study investigates the role of bioadditive Eusideroxylon zwageri seed oil in influencing the physical properties of crude palm oil. Simulated using HyperChem software, the molecular dynamics model reveals an alteration in the triglyceride geometry of vegetable oil resulting from the addition of a bioadditive. Procyanidin found in E. zwageri seed oil energized electrons on its aromatic ring cluster, generating a magnetic moment such that spinning electrons along the molecular chains of crude palm oil became more reactive. This enhanced electron mobility also correlated to lower dipole moment and higher kinetic energy, weakening the intermolecular Van der Waals’ force between triglyceride molecules. As a result of this phenomenon, molecular geometric stretching along the carbon chain of triglycerides occurs, increasing the probability of altering the physical properties of the treated vegetable oil. The study result shows a modest reduction in kinematic viscosity (cSt) of the treated crude palm oil, as verified by the ASTM D 445 method, after the addition of the bioadditive seed oil. Flash point value also decreases marginally, as measured by the ASTM D93 method. The E. zwageri seed oil demonstrated an alternative bioadditive enhancing the physical properties of vegetable oil fuel.

Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

26/02/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/ojs/index.php/RESD/issue/view/94/showToc

Energy transition in Saudi Arabia: harnessing solar solutions for a sustainable future renewable energy blend while navigating challenges and capitalizing on opportunities
Muhammad Saleem, Muhammad Taha Bin-Saleem, Muhammad Adil Bin-Saleem, Mehmood Ali, Elaf N. Mahrous
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1319

Abstract

Background Saudi Arabia's transition towards renewable energy is crucial in reducing its historical dependency on fossil fuels, motivated by the urgent need to combat global warming and diversify its energy portfolio. This study critically examines the role of solar energy, positioned as a primary renewable resource under the ambit of Saudi Vision 2030. By reviewing a comprehensive body of literature spanning the past 50 years using the PRISMA framework, the research aims to assess the feasibility of solar energy within the nation's renewable landscape.

Results A systematic analysis of 292 publications, narrowing down to 72 selected articles through rigorous quality assessment and bibliometric analysis, reveals substantial opportunities for enhancing solar energy efficiency. The findings underscore the potential of advanced solutions such as perovskite and quantum dot solar cells, alongside the implementation of anti-soiling coatings and innovative cooling mechanisms. Localizing manufacturing capabilities and increasing private sector engagement emerge as critical components for fostering solar energy adoption. Additionally, techno-economic assessments indicate that a pivot to solar power could offer significant environmental advantages, characterized by reduced installation and maintenance costs. Nonetheless, entrenched fossil fuel subsidies and prevailing pricing frameworks present significant barriers to the integration of renewable energy.

Conclusions & Recommendations The adoption of solar energy carries far-reaching implications for Saudi Arabia, likely resulting in improved environmental quality and diminished greenhouse gas emissions. This study advocates for essential policy reforms and the establishment of transparent feed-in tariff mechanisms to facilitate the realization of the Kingdom's renewable energy objectives. Future research directions should delve into the intricate techno-economic relationships between renewable energy development, economic growth, and environmental sustainability as Saudi Arabia progresses in its energy transition.

Read the full issue here:
https://apc.aast.edu/.../index.../RESD/issue/view/94/showToc

18/02/2026

Renewable Energy and Sustainable Development
Vol 11, No 2 (2025)
https://apc.aast.edu/ojs/index.php/RESD/issue/view/94/showToc
Decentralized economic operation of isolated AC, DC, and hybrid microgrids
Omar M. Abo Gabl, Mohamed Y. Morgan, Mohammed Salah El-Sobki (Jr.)
DOI: https://dx.doi.org/10.21622/resd.2025.11.2.1289
Abstract

In this study, a new economic operation scheme for AC, DC, and hybrid microgrids is proposed using variable cost-based droop. The proposed scheme relies on integrating the cost function of the distributed generating units into the primary control level and controlling the resultant droop characteristics to obtain the secondary control level, removing the need for a tertiary control layer. Moreover, a novel DC normalized cost-based droop is introduced to overcome the voltage drop caused by DC line impedance and fulfill the economic operation for the DC subgrid. The proposed scheme retains the simplicity and decentralized nature of normal droop control. The proposed technique uses the Walrus Optimization Algorithm (WaOA) to optimize the resultant droop and is tested on a modified IEEE-38 bus hybrid microgrid to highlight the performance of the proposed scheme.
Read the full issue here:
https://apc.aast.edu/ojs/index.php/RESD/issue/view/94/showToc

03/02/2026

🌟 RESD Volume 11, Issue 2 – December 2025 is Out! 🌟

Check out the latest Table of Contents for RESD Volume 11, Issue 2 (December 2025).

Table of Contents
Articles
Decentralized economic operation of isolated AC, DC, and hybrid microgrids
Omar M. Abo Gabl, Mohamed Y. Morgan, Mohammed Salah El-Sobki (Jr.)

Energy transition in Saudi Arabia: harnessing solar solutions for a sustainable future renewable energy blend while navigating challenges and capitalizing on opportunities
Muhammad Saleem, Muhammad Taha Bin-Saleem, Muhammad Adil Bin-Saleem, Mehmood Ali, Elaf N. Mahrous

The role of eusideroxylon zwageri seed oil addition on changing triglyceride geometry and physical properties of crude palm oil
Syahruddin Syahruddin, Randis Randis, Hasmina Tari Mokui, Edi Widodo

Innovative fuzzy VIKOR approach for green hydrogen technologies assessment: implications for sustainable energy development
Fadoua Tamtam, Amina Tourabi

Exploring the adaptability of the charge transport layers for enhanced efficiency in lead-free CH₃NH₃SnI₃ perovskite solar cells
Ibrahim Al Imran, Safia Aktar Dipa, Shariful Islam Sharif, Molla Asif Zaman, Abdullah Tanzib Mahdy

Super capacitor-enhanced neural control (SENCO) for power quality optimization in wind turbine-integrated microgrids
Rutuja S. Hiware, P. M. Daigavane

Experimental investigation of axial-flow turbine performance using water and oil: effects of rotation speed, blade count, and oil pre-heating
Mays Subhi Sadeq, Muna S. Kassim

A smart hybrid optimization model for DSSE in renewable energy-powered distribution networks
Reem R. Elbanna, Mohamed H. ElMessmary, Hatem Diab, Mahmoud Abdelsalam

A comprehensive experimental, numerical, economic, and environmental evaluation of an innovative solar still design for the desalination of Najaf seawater
Yasir Fayez Youssif, Mohammed Alfahham, Hassanain Ghani Hameed

A model for assessing urban resilience of coastal areas against natural flooding risk
Shady Hafez Gemaila, Abdullah Farouk Al‑Attar, Hesham Mohamed El‑Barmelgy

Strategic assessment of Egyptian ports for green energy logistics hub: the case for Gargoub port
Shady Magdy Mahmoud, Mostafa Abdel Gelil, Sara El Gazzar

Interpretable hybrid machine learning models for renewable-powered smart grid stability prediction
P. Sirish Kumar, Challa Chandrika, P. Krishna Rao, P. Kameswara Rao, Sai Kiran Oruganti

Enhancing PV efficiency using direct cooling with CuO nanofluid
Nikhil Kondibhau Purwant, Avinash M. Badadhe

Real time operation of microgrid with variation of distribution generation source to IEEE 13 bus system
Sunil Kumar, Ikbal Ali, Anwar Shahzad Siddiqui

Evaluation of the impact of biomass moisture content on the performance of the circulating fluidized bed gasifier
Maharshi Thakkar, Vishal Singh

📄 View full version : https://apc.aast.edu/ojs/index.php/RESD/issue/view/94/showToc
For inquiries, contact: [email protected]

28/01/2026

We’re excited to announce that the December issue of Renewable Energy and Sustainable Development (RESD), Volume 11, Issue 2 is now officially published!
📖 Read the full issue here: https://apc.aast.edu/ojs/index.php/RESD/issue/view/94/showToc

11/11/2025

Renewable Energy and Sustainable Development
Vol 11, No 1 (2025)
https://apc.aast.edu/.../index.../RESD/issue/view/84/showToc

Adaptive bayesian sparse polynomial chaos expansion for voltage balance of an isolated microgrid at peak load PDF
Sunil Kumar, Rashmi Agarwal, Harivardhagini Subhadra
DOI: https://dx.doi.org/10.21622/resd.2025.11.1.1281

Abstract

Microgrids (MGs) are essential for ensuring a reliable and efficient power supply, particularly in isolated or islanded regions. One of the significant challenges faced is maintaining voltage balance during peak load periods, which is complicated by uncertainties in renewable energy availability, demand response, and system constraints. This paper introduces an Adaptive Bayesian Sparse Polynomial Chaos Expansion (BSPCE) framework designed to tackle these challenges effectively. Unlike traditional BSPCE methods that utilize fixed sampling strategies, our adaptive approach dynamically modifies sampling locations in response to approximation errors or model sensitivities. This allows for a more efficient allocation of computational resources, enhancing approximation accuracy in areas of high uncertainty. The framework systematically quantifies uncertainties related to maximum loadability and operational constraints, while also accounting for the impacts of battery energy storage systems, electric vehicles, and demand response mechanisms. By applying this methodology to the IEEE-15 bus system, we provide a comprehensive assessment of voltage balance in isolated microgrids during peak load conditions. The proposed method is capable of dealing with a big number of inputs that are correlated and follow unrelated distributions. The simulation modeling is performed on the MATLAB platform. The numerical results from the IEEE 15 test feeders confirm that the approach is accurate and efficient at the same time.

Renewable Energy and Sustainable Development Journal

19/05/2026

11/05/2026

26/04/2026

01/04/2026

04/03/2026

26/02/2026

18/02/2026

03/02/2026

28/01/2026

11/11/2025

Address

Website

Alerts

Contact The Business

Shortcuts

Share

Category