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 >

Xueli Wang¹, Yan Jia^2,*, Degong Zuo³

Energy Engineering, Vol.122, No.4, pp. 1603-1627, 2025, DOI:10.32604/ee.2025.062908 - 31 March 2025

Abstract The development of efficient and clean heating technologies is crucial for reducing carbon emissions in regions with severe cold regions. This research designs a novel two-stage phase change heat storage coupled solar-air source heat pump heating system structure that is specifically designed for such regions. The two-stage heat storage device in this heating system expands the storage temperature range of solar heat. The utilization of the two-stage heat storage device not only makes up for the instability of the solar heating system, but can also directly meet the building heating temperature, and can reduce the… More > Graphic Abstract

Haitao Wang^1,2,*, Pengxin Zhang², Weihao Li², Baogang Li¹, Xianghui Xiong¹

Energy Engineering, Vol.122, No.4, pp. 1561-1580, 2025, DOI:10.32604/ee.2025.062844 - 31 March 2025

Abstract Deep mining, characterized by high stress, elevated geothermal gradients, and significant moisture content, significantly increases the risk of Coal Spontaneous Combustion (CSC), posing a major threat to mine safety. This study delves into the impact of these factors on the self-ignition properties of coal, leveraging data from four distinct mines in Heilongjiang Province, China: Shuangyashan Dongrong No. 2 Mine, Hegang Junde Coal Mine, Qitaihe Longhu Coal Mine, and Jixi Ronghua No. 1 Mine. We have honed the theoretical framework to account for variations in gas content during CSC. Our investigation, conducted through programmed temperature rise More >

Penghui Liu^1,*, Tianyu Yang¹, Peng Zhang², Peiyuan Zou³

Energy Engineering, Vol.122, No.4, pp. 1387-1402, 2025, DOI:10.32604/ee.2025.062627 - 31 March 2025

Abstract The photovoltaic (PV) output process is inherently complex, often disrupted by a multitude of meteorological factors, while conventional detection methods at PV power stations prove inadequate, compromising prediction accuracy. To address this challenge, this paper introduces a power prediction method that leverages modal switching (MS), weight factor adjustment (WFA), and parallel long short-term memory (PALSTM). Initially, historical PV power station data is categorized into distinct modes based on global horizontal irradiance and converted solar angles. Correlation analysis is then employed to evaluate the impact of various meteorological factors on PV power, selecting those with strong… 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 > Graphic Abstract

Hayder A. Dhahad¹, Miqdam T. Chaichan^2,*, Mohammed A. Fayad², Hasanain A. Abdul Wahhab³, T. Magrites⁴

Energy Engineering, Vol.122, No.4, pp. 1249-1264, 2025, DOI:10.32604/ee.2025.061617 - 31 March 2025

Abstract One of the most important of these emissions is fine particulate matter, which is a harmful emission of diesel engines, leading to the imposition of strict regulations. Biodiesel, with its high oxygen content, is an effective alternative to significantly reduce these emissions. In this study, rapeseed methyl ester (RME) was used as a diesel engine fuel and the emitted particulate matter was compared with ultra-low sulfur diesel (ULSD). In most experimental studies, the emission of soot was measured. In this work, the effects of injection timing, injection pressure (IP), and engine load on fine particulate… More > Graphic Abstract

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 >

Weiping Ouyang^1,2, Luoyi Huang^3,*, Jinghua Liu^3,*, Hongzhong Zhang^1,2

Energy Engineering, Vol.122, No.4, pp. 1491-1509, 2025, DOI:10.32604/ee.2025.061171 - 31 March 2025

Abstract Hydraulic fracturing is a crucial technique for efficient development of coal reservoirs. Coal rocks typically contain a high density of natural fractures, which serve as conduits for fracturing fluid. Upon injection, the fluid infiltrates these natural fractures and leaks out, resulting in complex fracture morphology. The prediction of hydraulic fracture network propagation for coal reservoirs has important practical significance for evaluating hydraulic fracturing. This study proposes a novel inversion method for predicting fracture networks in coal reservoirs, explicitly considering the distribution of natural fractures. The method incorporates three distinct natural fracture opening modes and employs… 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