Xingxu Zhu^1,*, Shiye Wang¹, Gangui Yan¹, Junhui Li¹, Hongda Dong², Chenggang Li²

Energy Engineering, Vol.122, No.4, pp. 1469-1489, 2025, DOI:10.32604/ee.2025.059956 - 31 March 2025

Abstract To address the excessive complexity of monthly scheduling and the impact of uncertain net load on the chargeable energy of storage, a reduced time-period monthly scheduling model for thermal generators and energy storage, incorporating daily minimum chargeable energy constraints, was developed. Firstly, considering the variations in the frequency of unit start-ups and shutdowns under different levels of net load fluctuation, a method was proposed to reduce decision time periods for unit start-up and shut-down operations. This approach, based on the characteristics of net load fluctuations, minimizes the decision variables of units, thereby simplifying the monthly… More >

Ramesh Kumar^1,2, Abdullah Bin Queyam³, Manish Kumar Singla^1,4,*, Mohamed Louzazni⁵, Mishra Dipak Kumar⁶

Energy Engineering, Vol.122, No.4, pp. 1373-1386, 2025, DOI:10.32604/ee.2025.058058 - 31 March 2025

Abstract Enhancing the efficiency of Rankine cycles is crucial for improving the performance of thermal power plants, as it directly impacts operational costs and emissions in light of energy transition goals. This study sets itself apart from existing research by applying a novel optimization technique to a basic ideal Rankine cycle, focusing on a specific power plant that has not been previously analyzed. Currently, this cycle operates at 41% efficiency and a steam quality of 76%, constrained by fixed operational parameters. The primary objectives are to increase thermal efficiency beyond 46% and raise steam quality above… More >

Zhengrong Shi^1,3, Hai Hong¹, Yanming Shen^2,*, Jingyong Cai^1,*

Energy Engineering, Vol.122, No.3, pp. 885-903, 2025, DOI:10.32604/ee.2025.061976 - 07 March 2025

Abstract Phase Change Material (PCM)-based cold energy storage system (CESS) can effectively utilize the peak and valley power resources to reduce the excessive dependence on the power grid. In this study, a PCM-based CESS was designed for cold storage applications. The optimal number of PCM plates was determined through numerical simulations to meet the required cold storage temperature and control time. Additionally, the air temperature field, flow field, and melting characteristics of the PCM plates during the cooling release process were analyzed. The effects of plate positioning and thickness on the cooling release performance were further… More >

Zhongxun Li^1,2, Bing Wang^1,*, Xiaolin Liu¹

Energy Engineering, Vol.122, No.3, pp. 971-983, 2025, DOI:10.32604/ee.2025.061834 - 07 March 2025

Abstract The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China. With a wide range of application scenarios, hydrogen energy will experience rapid growth in production and consumption. To formulate an effective hydrogen energy development strategy for the future of China, this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry, transportation, electricity, and other related fields. Multi-dimensional technical parameters are selected and predicted accurately and reliably in combination with different development scenarios. The findings indicate… More >

Mohammed A. Fayad^1,*, Amera A. Radhi¹, Marwa K. Abood², Hind A. AL Salihi¹, Miqdam T. Chaichan¹

Energy Engineering, Vol.122, No.3, pp. 929-941, 2025, DOI:10.32604/ee.2025.061612 - 07 March 2025

Abstract Oxygenated fuels can reduce harmful emissions without affecting engine performance, meeting the big challenge in the transportation industry, which keeps the environment safe and reduces global warming. This study investigates the impact of biodiesel injection strategies and fuel injection pressures (FIP) on diesel engine exhaust emission characteristics. The engine is fuelled with 20% Jatropha biodiesel (JB) and 80% diesel, named JB20D. The ratios of fuel injection pressures started with injecting the fuel (diesel and JB20D) from 200 bar to 500 bar. The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by More > Graphic Abstract

Xincong Shi^1,2, Yuze Ji^3,*, Xinrui Wang³, Ruimin Tian³, Chao Zhang²

Energy Engineering, Vol.122, No.3, pp. 1199-1220, 2025, DOI:10.32604/ee.2025.061586 - 07 March 2025

Abstract With the development of integrated power and gas distribution systems (IPGS) incorporating renewable energy sources (RESs), coordinating the restoration processes of the power distribution system (PS) and the gas distribution system (GS) by utilizing the benefits of RESs enhances service restoration. In this context, this paper proposes a coordinated service restoration framework that considers the uncertainty in RESs and the bi-directional restoration interactions between the PS and GS. Additionally, a coordinated service restoration model is developed considering the two systems’ interdependency and the GS’s dynamic characteristics. The objective is to maximize the system resilience index… More >

Jian Gao¹, Hongliang Hao², Caifeng Wen^1,*, Yongsheng Wang³, Zhanhua Han⁴, Edwin E. Nykilla², Yuwen Zhang²

Energy Engineering, Vol.122, No.3, pp. 1175-1198, 2025, DOI:10.32604/ee.2025.061083 - 07 March 2025

Abstract Power quality is a crucial area of research in contemporary power systems, particularly given the rapid proliferation of intermittent renewable energy sources such as wind power. This study investigated the relationships between power quality indices of system output and PSD by utilizing theories related to spectra, PSD, and random signal power spectra. The relationship was derived, validated through experiments and simulations, and subsequently applied to multi-objective optimization. Various optimization algorithms were compared to achieve optimal system power quality. The findings revealed that the relationships between power quality indices and PSD were influenced by variations in More >

Yu Zhang^*, Sheng Wang, Fanming Zeng, Yijie Lin

Energy Engineering, Vol.122, No.3, pp. 1137-1151, 2025, DOI:10.32604/ee.2025.060945 - 07 March 2025

Abstract With the development of renewable energy technologies such as photovoltaics and wind power, it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement. To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy, while simultaneously enhancing user satisfaction on the demand side, this paper introduces an improved multi-objective Grey Wolf Optimizer based on Cauchy variation. The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of… More > Graphic Abstract

Giovanni Miracco^1,*, Francesco Nicoletti¹, Vittorio Ferraro², Dimitrios Kaliakatsos¹

Energy Engineering, Vol.122, No.3, pp. 861-883, 2025, DOI:10.32604/ee.2025.060750 - 07 March 2025

Abstract Indoor air quality (IAQ) is often overlooked, yet a poorly maintained environment can lead to significant health issues and reduced concentration and productivity in work or educational settings. This study presents an innovative control system for mechanical ventilation specifically designed for university classrooms, with the dual goal of enhancing IAQ and increasing energy efficiency. Two classrooms with distinct construction characteristics were analyzed: one with exterior walls and windows, and the other completely underground. For each classroom, a model was developed using DesignBuilder software, which was calibrated with experimental data regarding CO₂ concentration, temperature, and relative… More >

Xin Liu^1,*, Meng Sun¹, Bo Lin², Shibo Gu¹

Energy Engineering, Vol.122, No.3, pp. 1053-1072, 2025, DOI:10.32604/ee.2025.060489 - 07 March 2025

Abstract Long-term petroleum production forecasting is essential for the effective development and management of oilfields. Due to its ability to extract complex patterns, deep learning has gained popularity for production forecasting. However, existing deep learning models frequently overlook the selective utilization of information from other production wells, resulting in suboptimal performance in long-term production forecasting across multiple wells. To achieve accurate long-term petroleum production forecast, we propose a spatial-geological perception graph convolutional neural network (SGP-GCN) that accounts for the temporal, spatial, and geological dependencies inherent in petroleum production. Utilizing the attention mechanism, the SGP-GCN effectively captures… More >