Theint Theint Maw, Shuai Zhou^*, Tek Tjing Lie

Energy Engineering, Vol.123, No.9, 2026, DOI:10.32604/ee.2026.081744 - 06 August 2026

Abstract The rapid deployment of distributed energy resources (DERs), including photovoltaic (PV) generation, wind turbines (WT), battery energy storage systems (BESS), and electric vehicles (EVs), is transforming modern distribution networks by introducing bidirectional power flows, voltage variations, and increased operational complexity, thereby require enhanced system resilience. This paper presents a systematic review of multi-objective optimization approaches for interconnected multi-microgrid (MMG) systems with explicit consideration of resilience, following the PRISMA 2020 guidelines. A structured literature search and screening process was conducted across major databases, including IEEE Xplore, Scopus, and ScienceDirect, covering publications from 2015 to 2026. The More >

Jiyuan Liao¹, Jiangyan Zhao^2,*, Xin Li³, Changmao Liu¹, Banghong Tang¹, Zihan Ling³

Energy Engineering, Vol.123, No.9, 2026, DOI:10.32604/ee.2025.074667 - 06 August 2026

Abstract To address the uncertainty and volatility of renewable energy while meeting the requirements of low-carbon economic operation, this paper proposes a two-stage robust optimal dispatch model for an integrated wind-solar-hydro-thermal-storage energy system with coupled power-to-gas (P2G) and carbon capture system (CCS). First, a mathematical model of the integrated wind-solar-hydro-thermal-storage energy system with P2G-CCS coupling is developed to promote internal carbon cycling and enhance the capability to accommodate renewable energy. Second, the scheduling problem is formulated as a two-stage robust optimization model. A cardinality-based uncertainty set is adopted to model deviations in renewable energy output, and… More >

A. R. Shanmugam, Ki Sun Park^*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.7, 2026, DOI:10.32604/fdmp.2026.086164 - 31 July 2026

Abstract Oscillating-wing power extractors (OWPEs) are an alternative to rotary wind turbines for small- and medium-scale renewable energy applications. However, the aeroacoustic response of such systems remains largely unexplored. In this study, the power extraction performance and near-field aeroacoustic characteristics of an OWPE are numerically investigated using transient computational fluid dynamics (CFD) simulations coupled with the Ffowcs Williams–Hawkings (FW–H) acoustic model at a Reynolds number Re of 8.58 × 10⁴. Two important operating parameters, namely the pitching amplitude θ_o and reduced frequency f*, are varied systematically, and the corresponding near-field sound pressure level (SPL) is measured at… More >

Nuhu Lawal^1,2, Adekunle Adeleke^2,3, Petrus Nzerem^2,4, Chizoma Adewumi^2,5, Frank Ogundolie^2,6, Esther Anosike-Francis^2,3, Waliyi Adeleke^2,3, Seun Jesuloluwa^2,3,*

Journal of Renewable Materials, Vol.14, No.7, 2026, DOI:10.32604/jrm.2026.02025-0203 - 28 July 2026

Abstract The environmental concerns of petroleum-based plastics, including their non-biodegradability, contribution to pollution, and reliance on finite fossil resources, have motivated growing global interest in biodegradable alternatives, with starch-based bioplastics emerging as a promising solution due to their renewability, biodegradability, cost-effectiveness, and compatibility with existing processing technologies. This review synthesizes recent developments, challenges, and analytical techniques related to starch-based bioplastics. It examines the physicochemical properties of starch, modification methods such as plasticization, blending, and chemical treatments, and key production techniques including extrusion, injection molding, and 3D printing. Mechanical, thermal, and barrier properties are evaluated through standardized More >

Alireza Norouzpour Shahrbejari¹, Nafiseh Pishbin², Mohammad Reza Maghami^3,*, Mazlan Mohamed^4,*, Mohammad Golmohammad¹

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083763 - 27 July 2026

Abstract This study presents a weighted-sum multi-criteria optimization framework using PSO for the optimal siting, sizing, and scenario-based operation of energy storage systems (ESSs) in renewable-integrated distribution networks. The proposed model concurrently addresses technical, economic, and reliability objectives—minimizing active power losses (PL), voltage deviation (VD), expected energy not supplied (EENS), and short-circuit level (SCL), while maximizing voltage sensitivity index (VSI) and power-loss sensitivity factor (PLSF). A Particle Swarm Optimization (PSO) algorithm with weighted-sum scalarization is employed to solve this complex, nonlinear optimization problem and effectively balance the conflicting operational goals. The framework is validated using IEEE… More >

AL-Wesabi Ibrahim¹, Hassan M. Hussein Farh^2,*, Jiazhu Xu^1,*, Mohamad A. Alawad², Ahmed Alqurashi³, Abdullrahman A. Al-Shamma’a²

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.081371 - 27 July 2026

Abstract Load frequency control (LFC) in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system. Although various PI/PID and other advanced control strategies have been employed for LFC in power systems, the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems. Moreover, the optimization methods employed for the tuning of… More >

Yasemin Onal^*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082593 - 23 July 2026

Abstract Photovoltaic (PV) power generation exhibits considerable sensitivity to both weather variability and fluctuations in solar irradiance. Consequently, precise forecasting of PV power is crucial for ensuring grid reliability, load balancing, and the effective functioning of energy markets within a grid-connected solar plant. Conventional forecasting methodologies frequently prove inadequate in accurately capturing the nonlinear and intricate temporal patterns present within PV datasets. To address these shortcomings, this research presents a hybrid short-term PV power forecasting model. This model integrates Neighborhood Component Analysis (NCA) for dimensionality reduction with a Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) framework.… More >

Huajie Zhang^1,2, Xiaopeng Li^1,2, Hanlin Xiao^3,*, Lifeng Xing³, Wenyue Zhou^1,2

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.086505 - 12 July 2026

Abstract This article has no abstract. More >

Miftakhul Maulidina^*, Erna Daniati

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.080751 - 12 July 2026

Abstract The global energy transition toward net-zero emissions requires the massive development of renewable energy infrastructure. However, the efficiency and safety of installations such as wind turbines, solar panels, and energy storage systems are highly dependent on subsurface physical characteristics. Neglecting geological structures such as active faults or corrosive zones, risks structural failure and electrical system malfunctions. This research proposes the use of the Very Low Frequency Electromagnetic (VLF-EM) method as a fast and non-destructive geophysical screening tool. This method utilizes low-frequency signals to map variations in subsurface electrical conductivity. Furthermore, the data were processed using… More >

Franjo Pranjić^1,*, Doris Beljan², Primož Praper³, Matej Fike¹, Peter Virtič¹, Antun Pfeifer², Neven Duić^2,4

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.080284 - 12 July 2026

Abstract This paper evaluates the role of aggregated demand-side flexibility from public buildings in supporting renewable energy integration and decarbonization of the Slovenian energy system. Using high-resolution monitoring data from over 100 public buildings and the H2RES energy system optimization model, two long-term scenarios are analyzed for the period 2020–2050: a reference scenario without public building flexibility and a flexibility scenario in which public building heat demand is electrified via heat pumps. The year 2020 is used as an internally consistent optimization reference for demand levels and technology availability, rather than as a statistical reconstruction of… More >