Faisal Ghazi Beshaw¹, Thamir Hassan Atyia², Mohd Fadzli Mohd Salleh¹, Mohamad Khairi Ishak³, Abdul Sattar Din^1,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3553-3583, 2025, DOI:10.32604/cmc.2025.061400 - 16 April 2025

Abstract The significance of precise energy usage forecasts has been highlighted by the increasing need for sustainability and energy efficiency across a range of industries. In order to improve the precision and openness of energy consumption projections, this study investigates the combination of machine learning (ML) methods with Shapley additive explanations (SHAP) values. The study evaluates three distinct models: the first is a Linear Regressor, the second is a Support Vector Regressor, and the third is a Decision Tree Regressor, which was scaled up to a Random Forest Regressor/Additions made were the third one which was… More >

Elaine Yi-Ling Wu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1185-1214, 2025, DOI:10.32604/cmes.2025.064636 - 11 April 2025

Abstract Hybrid renewable energy systems (HRES) offer cost-effectiveness, low-emission power solutions, and reduced dependence on fossil fuels. However, the renewable energy allocation problem remains challenging due to complex system interactions and multiple operational constraints. This study develops a novel Multi-Neighborhood Enhanced Harris Hawks Optimization (MNEHHO) algorithm to address the allocation of HRES components. The proposed approach integrates key technical parameters, including charge-discharge efficiency, storage device configurations, and renewable energy fraction. We formulate a comprehensive mathematical model that simultaneously minimizes levelized energy costs and pollutant emissions while maintaining system reliability. The MNEHHO algorithm employs multiple neighborhood structures… More >

Gökhan Şahin^1,*, Ihsan Levent², Gültekin Işık², Wilfried van Sark¹, Sabir Rustemli³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1215-1248, 2025, DOI:10.32604/cmes.2025.063193 - 11 April 2025

Abstract This research investigates the influence of indoor and outdoor factors on photovoltaic (PV) power generation at Utrecht University to accurately predict PV system performance by identifying critical impact factors and improving renewable energy efficiency. To predict plant efficiency, nineteen variables are analyzed, consisting of nine indoor photovoltaic panel characteristics (Open Circuit Voltage (Voc), Short Circuit Current (Isc), Maximum Power (Pmpp), Maximum Voltage (Umpp), Maximum Current (Impp), Filling Factor (FF), Parallel Resistance (Rp), Series Resistance (Rs), Module Temperature) and ten environmental factors (Air Temperature, Air Humidity, Dew Point, Air Pressure, Irradiation, Irradiation Propagation, Wind Speed, Wind… More >

Baxter L. M. Williams^1,*, Henri Croft¹, James Hunt¹, Josh Viloria¹, Nathan Sherman¹, James Oliver¹, Brody Green¹, Alexey Turchin², Juan B. García Martínez², Joshua M. Pearce^3,4, David Denkenberger^1,2,*

Energy Engineering, Vol.122, No.4, pp. 1265-1285, 2025, DOI:10.32604/ee.2025.063276 - 31 March 2025

Abstract Following global catastrophic infrastructure loss (GCIL), traditional electricity networks would be damaged and unavailable for energy supply, necessitating alternative solutions to sustain critical services. These alternative solutions would need to run without damaged infrastructure and would likely need to be located at the point of use, such as decentralized electricity generation from wood gas. This study explores the feasibility of using modified light duty vehicles to self-sustain electricity generation by producing wood chips for wood gasification. A 2004 Ford Falcon Fairmont was modified to power a woodchipper and an electrical generator. The vehicle successfully produced… More >

Diju Gao, Shuai Li^*

Energy Engineering, Vol.122, No.4, pp. 1425-1442, 2025, DOI:10.32604/ee.2025.062101 - 31 March 2025

Abstract To safeguard the ocean ecosystem, fuel cells are excellent candidates as the primary energy supply for marine vessels due to their high efficiency, low noise, and cleanliness. However, fuel cells in hybrid power systems are highly susceptible to load transients, which can severely damage fuel cells and shorten their lifespan. Therefore, the formulation of energy management strategies accounting for power degradation is crucial and urgent. In this study, an improved strategy for equivalent consumption minimization strategy (ECMS) considering power degradation is proposed. The improved energy control strategy effectively controls the energy distribution of hydrogen fuel… More > Graphic Abstract

Hussain H. Al-Kayiem^1,*, Raed A. Jessam², Sinan S. Hamdi³, Ali M. Tukkee^4,5

Energy Engineering, Vol.122, No.4, pp. 1311-1335, 2025, DOI:10.32604/ee.2025.061709 - 31 March 2025

Abstract Size reduction of the gas turbines (GT) by reducing the inlet S-shaped diffuser length increases the power-to-weight ratio. It improves the techno-economic features of the GT by lesser fuel consumption. However, this Length reduction of a bare S-shaped diffuser to an aggressive S-shaped diffuser would risk flow separation and performance reduction of the diffuser and the air intake of the GT. The objective of this research is to propose and assess fitted energy promoters (EPs) to enhance the S-shaped diffuser performance by controlling and modifying the flow in the high bending zone of the diffuser.… More >

Ziwen Cai^1,2, Yun Zhao^1,2, Zongyi Wang^1,2, Tonghe Wang^3,*, Yunfeng Li^1,2, Hao Wang³

Energy Engineering, Vol.122, No.4, pp. 1221-1248, 2025, DOI:10.32604/ee.2025.061452 - 31 March 2025

Abstract With the severe challenges brought by global climate change, exploring and developing clean and renewable energy systems to upgrade the energy structure has become an inevitable trend in related research. The comprehensive park systems integrated with photovoltaic, energy storage, direct current, and flexible loads (PEDF) is able to play an important role in promoting energy transformation and achieving sustainable development. In order to fully understand the advantages of PEDF parks in energy conservation and carbon reduction, this paper summarizes existing studies and prospects future research directions on the low-carbon operation of the PEDF park. This… More >

Lei Shen^1,2, Chutong Zhang², Yuwei Ge¹, Shanyun Gu¹, Qiang Gao¹, Wei Li¹, Jie Ji^2,*

Energy Engineering, Vol.122, No.4, pp. 1581-1602, 2025, DOI:10.32604/ee.2025.061010 - 31 March 2025

Abstract The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis. This paper presents an innovative framework, the Intelligent Power Stability and Scheduling (IPSS) System, which is designed to enhance the safety, stability, and economic efficiency of power systems, particularly those integrated with green energy sources. The IPSS System is distinguished by its integration of a CNN-Transformer predictive model, which leverages the strengths of Convolutional Neural Networks (CNN) for local feature extraction and Transformer architecture for global dependency modeling, offering significant… More > Graphic Abstract

Zhihui Feng¹, Jun Zhang¹, Jun Lu¹, Zhongdan Zhang¹, Wangwang Bai¹, Long Ma¹, Haonan Lu², Jie Lin^2,*

Energy Engineering, Vol.122, No.4, pp. 1531-1560, 2025, DOI:10.32604/ee.2025.060795 - 31 March 2025

Abstract In the background of the low-carbon transformation of the energy structure, the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy systems (IES) is becoming increasingly obvious. In this case, to promote the low-carbon operation of IES and renewable energy consumption, and to improve the IES anti-interference ability, this paper proposes an IES scheduling strategy that considers CCS-P2G and concentrating solar power (CSP) station. Firstly, CSP station, gas hydrogen doping mode and variable hydrogen doping ratio mode are applied to IES, and combined with… More >

Min Liu¹, Qiliang Wu¹, Zhixin Li², Bo Zhao¹, Leiqi Zhang¹, Junhui Li², Xingxu Zhu^2,*

Energy Engineering, Vol.122, No.4, pp. 1403-1424, 2025, DOI:10.32604/ee.2025.060256 - 31 March 2025

Abstract To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms, an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed. First, considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage, an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system. Next, an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with… More >