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Manoharan Madhiarasan^*
Energy Engineering, Vol.122, No.8, pp. 2993-3011, 2025, DOI:10.32604/ee.2025.068358 - 24 July 2025
（This article belongs to the Special Issue: Innovative Energy Engineering for Resilient and Green Systems)
Abstract Accurate Global Horizontal Irradiance (GHI) forecasting has become vital for successfully integrating solar energy into the electrical grid because of the expanding demand for green power and the worldwide shift favouring green energy resources. Particularly considering the implications of the aggressive GHG emission targets, accurate GHI forecasting has become vital for developing, designing, and operational managing solar energy systems. This research presented the core concepts of modelling and performance analysis of the application of various forecasting models such as ARIMA (Autoregressive Integrated Moving Average), Elaman NN (Elman Neural Network), RBFN (Radial Basis Function Neural Network),… More >

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Xin Wan¹, Shuyi Li^2,3, Tiankui Guo^2,3,*, Ming Chen^2,3, Xing Yang^2,3, Guchang Zhang^2,3, Zi’ang Wang^2,3
Energy Engineering, Vol.122, No.8, pp. 3013-3039, 2025, DOI:10.32604/ee.2025.066033 - 24 July 2025
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract Hydraulic fracturing is a key technology for the efficient development of deep oil and gas reservoirs. However, fracture propagation behavior is influenced by rock elastoplasticity and thermal stress, making it difficult for traditional linear elastic models to accurately describe its dynamic response. To address this, this study employs the Continuum-Discontinuum Element Method (CDEM), incorporating an elastoplastic constitutive model, thermo-hydro-mechanical (THM) coupling effects, and cohesive zone characteristics at the fracture tip to establish a numerical model for hydraulic fracture propagation in deep elastoplastic reservoirs. A systematic investigation was conducted into the effects of fluid viscosity, reservoir… More >

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S. M. Rezaul Karim^1,2, Md. Shouquat Hossain^1,3, Khadiza Akter¹, Debasish Sarker⁴, Md. Moniul Kabir ², Mamdouh Assad^5,*
Energy Engineering, Vol.122, No.8, pp. 3041-3054, 2025, DOI:10.32604/ee.2025.066867 - 24 July 2025
（This article belongs to the Special Issue: Advances in Renewable Energy Systems: Integrating Machine Learning for Enhanced Efficiency and Optimization)
Abstract Knowing the influence of the size of datasets for regression models can help in improving the accuracy of a solar power forecast and make the most out of renewable energy systems. This research explores the influence of dataset size on the accuracy and reliability of regression models for solar power prediction, contributing to better forecasting methods. The study analyzes data from two solar panels, aSiMicro03036 and aSiTandem72-46, over 7, 14, 17, 21, 28, and 38 days, with each dataset comprising five independent and one dependent parameter, and split 80–20 for training and testing. Results indicate… More >

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421

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Cuiping Li¹, Jiacheng Sun¹, Qiang Li², Qi Guo², Junhui Li^1,*, Shuo Yu², Jingbo Wang², Wenze Li²
Energy Engineering, Vol.122, No.8, pp. 3055-3077, 2025, DOI:10.32604/ee.2025.064440 - 24 July 2025
Abstract The penetration rate of new wind and photovoltaic energy in the power system has increased significantly, and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional grid. This paper proposes a hierarchical optimal dispatch strategy for a high proportion of new energy power systems that considers the balanced response of grid flexibility. Firstly, various flexibility resource regulation capabilities on the source-load side are analyzed, and then flexibility demand and flexibility response are matched, and flexibility demand response assessment is proposed; then, a hierarchical… More >

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467

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Ruiheng Pan^*, Shuyan Wang, Yihan Huang, Gang Ma
Energy Engineering, Vol.122, No.8, pp. 3079-3098, 2025, DOI:10.32604/ee.2025.065124 - 24 July 2025
Abstract Contemporary power network planning faces critical challenges from intensifying climate variability, including greenhouse effect amplification, extreme precipitation anomalies, and persistent thermal extremes. These meteorological disruptions compromise the reliability of renewable energy generation forecasts, particularly in photovoltaic (PV) systems. However, current predictive methodologies exhibit notable deficiencies in extreme weather monitoring, systematic transient phenomena analysis, and preemptive operational strategies, especially for cold-wave weather. In order to address these limitations, we propose a dual-phase data enhancement protocol that takes advantage of Time-series Generative Adversarial Networks (TimeGAN) for temporal pattern expansion and the K-medoids clustering algorithm for synthetic data… More >

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328

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Bagus Sapto Mulyatno^1,*, Muh Sarkowi¹, Ordas Dewanto¹, Asep Irawan¹, Suharso², Andy Setyo Wibowo³, Indra Mamad Gandidi^4,*
Energy Engineering, Vol.122, No.8, pp. 3099-3116, 2025, DOI:10.32604/ee.2025.064336 - 24 July 2025
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract Rising global energy needs have intensified the search for unconventional hydrocarbon sources, especially in under-selected areas like the Northeast Java Basin. This region harbors promising unconventional hydrocarbon reserves, where source rocks function as dual-phase systems for both hydrocarbon generation and storage. This research investigates how metal-based catalysts, particularly iron (Fe), can expedite hydrocarbon maturation in such reservoirs. Combining well logging, geochemical assessments, seismic data, and advanced lab techniques, including X-ray Diffraction (XRD), we pinpoint optimal zones for exploration. Results indicate that the Tuban, Kujung, and Ngimbang formations contain economically viable unconventional deposits, exhibiting tight reservoir… More >

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287

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Xiaolong Xiao¹, Xiaoxing Lu^1,*, Ziran Guo¹, Jian Liu¹, Shenglong Wu², Ye Cai²
Energy Engineering, Vol.122, No.8, pp. 3117-3132, 2025, DOI:10.32604/ee.2025.065631 - 24 July 2025
Abstract With the popularization of microgrid construction and the connection of renewable energy sources to the power system, the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is becoming increasingly prominent, and the accuracy of typical scenario predictions is low. In order to improve the accuracy of scenario prediction under source and load uncertainty, this paper proposes a typical scenario identification model based on random forests and order parameters. Firstly, a method for ordinal parameter identification and quantification is provided for the coordinated operating mode of multi-microgrids, taking into account source-load… More >

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268

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Qing Zhu¹, Denghui Guo¹, Rui Ruan¹, Zhidong Chai¹, Chaoqun Wang², Zhiwen Guan^2,*
Energy Engineering, Vol.122, No.8, pp. 3133-3154, 2025, DOI:10.32604/ee.2025.063165 - 24 July 2025
Abstract This study presents an emergency control method for sub-synchronous oscillations in wind power grid-connected systems based on transfer learning, addressing the issue of insufficient generalization ability of traditional methods in complex real-world scenarios. By combining deep reinforcement learning with a transfer learning framework, cross-scenario knowledge transfer is achieved, significantly enhancing the adaptability of the control strategy. First, a sub-synchronous oscillation emergency control model for the wind power grid integration system is constructed under fixed scenarios based on deep reinforcement learning. A reward evaluation system based on the active power oscillation pattern of the system is… More >

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542

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298

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Yunfei Xu¹, Jianfeng Liu^1,*, Tianxing Sun¹, Heran Kang¹, Xiaoqing Hao²
Energy Engineering, Vol.122, No.8, pp. 3155-3176, 2025, DOI:10.32604/ee.2025.065753 - 24 July 2025
Abstract In order to promote the utilization level of new energy resources for local and efficient consumption, this paper introduces the biogas (BG) fermentation technology into the integrated energy system (IES). This initiative is to study the collaborative and optimal scheduling of IES with wind power (WP), photovoltaic (PV), and BG, while integrating carbon capture system (CCS) and power-to-gas (P2G) system. Firstly, the framework of collaborative operation of IES for BG-CCS-P2G is constructed. Secondly, the flexible scheduling resources of the source and load sides are fully exploited, and the collaborative operation mode of CCS-P2G is proposed… More >

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427

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Martin Nyanzi Mawejje, Jon Pocock, Santiago Septien^*
Energy Engineering, Vol.122, No.8, pp. 3177-3199, 2025, DOI:10.32604/ee.2025.063898 - 24 July 2025
（This article belongs to the Special Issue: Recent Advance and Development in Solar Energy)
Abstract Onsite sanitation offers a sustainable alternative to centralized wastewater treatment; however, effective faecal sludge management is crucial for safe disposal and resource recovery. Among emerging treatment solutions, solar thermal drying holds significant promise to reduce sludge moisture content and enhance handling. Despite this potential, its application remains limited, with important knowledge gaps, particularly concerning the drying kinetics under different environmental and operational conditions. This study aims to fill these gaps by investigating the solar thermal drying behaviour of faecal sludge from ventilated improved pit latrines (VIPs) and urine-diverting dry toilets (UDs), with a specific focus… More >

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309

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Yuming Luo¹, Wei Zhang², Anqi Zhao², Ling Gou¹, Li Chen¹, Yaling Yang¹, Xiaoping Wang¹, Shichang Liu¹, Huiqing Qi³, Shilai Hu^2,*
Energy Engineering, Vol.122, No.8, pp. 3201-3221, 2025, DOI:10.32604/ee.2025.066507 - 24 July 2025
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety. Previous research primarily focused on integrating reservoir, wellbore, and surface facility constraints, often resulting in broad constraint ranges and slow model convergence. To solve this problem, the present study introduces additional constraints on maximum withdrawal rates by combining binomial deliverability equations with material balance equations for closed gas reservoirs, while considering extreme peak-shaving demands. This approach effectively narrows the constraint range. Subsequently, a collaborative optimization model with… More >

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305

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ARTICLE

Zhenhao Wang¹, Hongwei Li^1,*, Dan Pang², Jinming Ge¹
Energy Engineering, Vol.122, No.8, pp. 3223-3242, 2025, DOI:10.32604/ee.2025.063615 - 24 July 2025
Abstract Aiming at the problem of increasing the peak-to-valley difference of grid load and the rising cost of user charging caused by the disorderly charging of large-scale electric vehicles, this paper proposes a coordinated charging scheduling strategy for multiple types of electric vehicles based on the degree of urgency of vehicle use. First, considering the range loss characteristics, dynamic time-sharing tariff mechanism, and user incentive policy in the low-temperature environment of northern winter, a differentiated charging model is constructed for four types of vehicles: family cars, official cars, buses, and cabs. Then, we innovatively introduce the… More >

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603

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Mingchen Gao^*
Energy Engineering, Vol.122, No.8, pp. 3243-3263, 2025, DOI:10.32604/ee.2025.065957 - 24 July 2025
（This article belongs to the Special Issue: Advanced Analytics on Energy Systems)
Abstract Currently, the international economic situation is becoming increasingly complex, and there is significant downward pressure on the global economy. In recent years, China’s infrastructure sector has experienced rapid growth, with the structure of its power engineering business gradually shifting from traditional infrastructure construction to more diversified areas such as production and operation, as well as emergency repairs. As a result, the transformation of mechanized construction in power transmission and transformation projects has become increasingly urgent. This article proposes a post-evaluation model based on game theory to improve comprehensive weighting and fuzzy grey relational projection sorting,… More >

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288

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Luiz Felipe Souza Fonseca¹, Heitor do Nascimento Andrade¹, João Marcelo Fernandes Gualberto de Galiza², Raphael Abrahão¹, Hamid Boleydei³, Silvia Guillén-Lambea⁴, Monica Carvalho^1,*
Energy Engineering, Vol.122, No.8, pp. 3265-3283, 2025, DOI:10.32604/ee.2025.066218 - 24 July 2025
（This article belongs to the Special Issue: Recent Advances in Sustainable Solar Thermal and PV Systems)
Abstract The application of different coatings on solar photovoltaic (PV) panels can be an efficient solution to increase performance and further mitigate the emission of greenhouse gases. This study uses the Life Cycle Assessment (LCA) methodology and the environmental payback concept to analyze the effects of the application of a nano-silica coating on a solar PV system installed in the Brazilian Northeast. Firstly, an uncoated reference 16.4 MW PV system is designed, and the detailed inventory is presented (PV panels, supporting structure, inverters, junction boxes, cables, transportation, maintenance and operation—including the replacement of equipment). The results… More >

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371

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Linwei Yao^1,*, Xiangning Lin^1,2, Huashen He¹, Jiahui Yang¹
Energy Engineering, Vol.122, No.8, pp. 3285-3308, 2025, DOI:10.32604/ee.2025.066628 - 24 July 2025
（This article belongs to the Special Issue: Integration of Hybrid Renewable Energy Systems for Sustainable Development)
Abstract In order to address the synergistic optimization of energy efficiency improvement in the waste incineration power plant (WIPP) and renewable energy accommodation, an electricity-hydrogen-waste multi-energy system integrated with phase change material (PCM) thermal storage is proposed. First, a thermal energy management framework is constructed, combining PCM thermal storage with the alkaline electrolyzer (AE) waste heat recovery and the heat pump (HP), while establishing a PCM-driven waste drying system to enhance the efficiency of waste incineration power generation. Next, a flue gas treatment method based on purification-separation-storage coordination is adopted, achieving spatiotemporal decoupling between waste incineration… More >

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271

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Li Ling^*, Danhao Song, Qianlong Hu, Zihao Xiang, Zeyu Zhang
Energy Engineering, Vol.122, No.8, pp. 3309-3328, 2025, DOI:10.32604/ee.2025.065824 - 24 July 2025
（This article belongs to the Special Issue: Advanced Analytics on Energy Systems)
Abstract Rack-level loop thermosyphons have been widely adopted as a solution to data centers’ growing energy demands. While numerous studies have highlighted the heat transfer performance and energy-saving benefits of this system, its economic feasibility, water usage effectiveness (WUE), and carbon usage effectiveness (CUE) remain underexplored. This study introduces a comprehensive evaluation index designed to assess the applicability of the rack-level loop thermosyphon system across various computing hub nodes. The air wet bulb temperature T_a,w was identified as the most significant factor influencing the variability in the combination of PUE, CUE, and WUE values. The results indicate… More >

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599

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264

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Dayan Sun¹, Xiao Cao^2,*, Zhifeng Liang¹, Junrong Xia², Yuqi Wang³
Energy Engineering, Vol.122, No.8, pp. 3329-3346, 2025, DOI:10.32604/ee.2025.066341 - 24 July 2025
（This article belongs to the Special Issue: AI-Driven Innovations in Sustainable Energy Systems: Advances in Optimization, Storage, and Conversion)
Abstract Photovoltaic (PV) power generation is undergoing significant growth and serves as a key driver of the global energy transition. However, its intermittent nature, which fluctuates with weather conditions, has raised concerns about grid stability. Accurate PV power prediction has been demonstrated as crucial for power system operation and scheduling, enabling power slope control, fluctuation mitigation, grid stability enhancement, and reliable data support for secure grid operation. However, existing prediction models primarily target centralized PV plants, largely neglecting the spatiotemporal coupling dynamics and output uncertainties inherent to distributed PV systems. This study proposes a novel Spatio-Temporal… More >

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321

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Md. Fatin Ishraque¹, Akhlaqur Rahman², Kamil Ahmad¹, Sk. A. Shezan^3,*, Md. Meheraf Hossain¹, Sheikh Rashel Al Ahmed¹, Md. Iasir Arafat¹, Noor E Nahid Bintu⁴
Energy Engineering, Vol.122, No.8, pp. 3347-3375, 2025, DOI:10.32604/ee.2025.067492 - 24 July 2025
（This article belongs to the Special Issue: Integration of Renewable Energies with the Grid: An Integrated Study of Solar, Wind, Storage, Electric Vehicles, PV and Wind Materials and AI-Driven Technologies)
Abstract In this research work, the localized generation from renewable resources and the distribution of energy to agricultural loads, which is a local microgrid concept, have been considered, and its feasibility has been assessed. Two dispatch algorithms, named Cycle Charging and Load Following, are implemented to find the optimal solution (i.e., net cost, operation cost, carbon emission. energy cost, component sizing, etc.) of the hybrid system. The microgrid is also modeled in the DIgSILENT Power Factory platform, and the respective power system responses are then evaluated. The development of dispatch algorithms specifically tailored for agricultural applications… More >

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291

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Yanjie Liu, Ximin Cao^*, Yanchi Zhang
Energy Engineering, Vol.122, No.8, pp. 3377-3398, 2025, DOI:10.32604/ee.2025.066577 - 24 July 2025
（This article belongs to the Special Issue: Advanced Analytics on Energy Systems)
Abstract Under the “dual carbon” goals, this paper constructs an optimization model of the comprehensive energy system in the park. A stepwise carbon excess rate mechanism and an electric vehicle coupling strategy are proposed: A carbon quota trading system is established based on the baseline method, and the stepwise function is adopted to quantify the cost of excess carbon emissions; Introduce the price demand response and the two-way interaction mechanism of electric Vehicle vehicle-to-grid (V2G) to enhance the flexible regulation ability. Aiming at the uncertainty of wind and solar output, a typical scene set is generated… More >

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293

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Geetanjali Dei^1,2, Deepak Kumar Gupta¹, Binod Kumar Sahu², Amitkumar V. Jha³, Bhargav Appasani^3,*, Nicu Bizon^4,5,*
Energy Engineering, Vol.122, No.8, pp. 3399-3431, 2025, DOI:10.32604/ee.2025.067357 - 24 July 2025
（This article belongs to the Special Issue: Emerging Technologies for Future Smart Grids)
Abstract This paper presents an innovative and effective control strategy tailored for a deregulated, diversified energy system involving multiple interconnected area. Each area integrates a unique mix of power generation technologies: Area 1 combines thermal, hydro, and distributed generation; Area 2 utilizes a blend of thermal units, distributed solar technologies (DST), and hydro power; and Third control area hosts geothermal power station alongside thermal power generation unit and hydropower units. The suggested control system employs a multi-layered approach, featuring a blended methodology utilizing the Tilted Integral Derivative controller (TID) and the Fractional-Order Integral method to enhance… More >

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