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ARTICLE

Fatou Balleh Jobe¹, Satyanarayana Narra^1,*, Vidhi Singh¹, Komi Agboka²
Energy Engineering, Vol.122, No.7, pp. 2539-2569, 2025, DOI:10.32604/ee.2025.061963 - 27 June 2025
Abstract This study evaluates the feasibility of incorporating alternative sustainable energy sources, specifically bioenergy and green hydrogen, into The Gambia’s energy mix to support the nation’s long-term energy development goals. The feedstocks analyzed include agricultural crop residues such as rice, cassava, groundnuts, maize, sorghum, oil palm fruit, seed cotton, and millet, as well as municipal solid waste (MSW). An assessment was conducted to calculate the theoretical potential generated from the organic components of both MSW and crop residues, utilizing data collected from 2017 to 2021 and projections extending to 2038. The results were employed to calculate… More >

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Yinguo Yang¹, Lifu Ding^2,*, Yang Liu¹, Bingchen Wang², Weihua Wang¹, Ying Chen²
Energy Engineering, Vol.122, No.7, pp. 2571-2587, 2025, DOI:10.32604/ee.2025.065716 - 27 June 2025
（This article belongs to the Special Issue: Integrated Technology Development and Application of Wind Power Systems)
Abstract This paper addresses the complexity of wake control in large-scale wind farms by proposing a partitioning control algorithm utilizing the FLORIDyn (FLOW Redirection and Induction Dynamics) dynamic wake model. First, the impact of wakes on turbine effective wind speed is analyzed, leading to a quantitative method for assessing wake interactions. Based on these interactions, a partitioning method divides the wind farm into smaller, computationally manageable zones. Subsequently, a heuristic control algorithm is developed for yaw optimization within each partition, reducing the overall computational burden associated with multi-turbine optimization. The algorithm’s effectiveness is evaluated through case More >

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REVIEW

Hengzheng Li^1,2, Jie Yang^1,*
Energy Engineering, Vol.122, No.7, pp. 2589-2609, 2025, DOI:10.32604/ee.2025.063268 - 27 June 2025
Abstract Layered double hydroxides (LDHs) are a class of transition metal-based materials characterized by their two-dimensional nano-layered structure. They offer several advantages, such as easy adjustability of morphology and structure and simple preparation methods, making them highly promising for the development of low-cost, high energy density supercapacitors. This article begins with a brief introduction to the basic structure, energy storage mechanism, and application challenges of LDHs. It then proceeds to summarize the innovations in the preparation methods of LDH electrode materials, such as the application of high precision synthesis technologies including component regulation, amorphization, and the… More >

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67

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ARTICLE

Alex Ximenes Naves¹, Gladys Maquera², Assed Haddad¹, Dieter Boer^3,*
Energy Engineering, Vol.122, No.7, pp. 2611-2636, 2025, DOI:10.32604/ee.2025.061971 - 27 June 2025
（This article belongs to the Special Issue: Selected Papers from the SDEWES 2024 Conference on Sustainable Development of Energy, Water and Environment Systems)
Abstract The growing concern for energy efficiency and the increasing deployment of intermittent renewable energies has led to the development of technologies for capturing, storing, and discharging energy. Supercapacitors can be considered where batteries do not meet the requirements. However, supercapacitors in systems with a slower charge/discharge cycle, such as photovoltaic systems (PVS), present other obstacles that make replacing batteries more challenging. An extensive literature review unveils a knowledge gap regarding a methodological comparison of batteries and supercapacitors. In this study, we address the technological feasibility of intermittent renewable energy generation systems, focusing on storage solutions… More >

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ARTICLE

Jin Feng¹, Juntao Wei^2,3,*, Yuanyuan Jing¹, Xudong Song^1,*, Zhengdong Gu³, Yonghui Bai¹, Manoj Kumar Jena^4,5, Weiguang Su¹, Guangsuo Yu^1,6
Energy Engineering, Vol.122, No.7, pp. 2637-2652, 2025, DOI:10.32604/ee.2025.065407 - 27 June 2025
Abstract This study systematically investigated the effects of different gas stove structures on flame combustion characteristics using spectral diagnostic techniques, aiming to provide optimized design guidelines for clean energy applications. To explore the combustion behaviors of various gas stove structures, UV cameras, high-speed cameras, and K-type thermocouples were employed to measure parameters such as flame OH radicals (OH*), flame morphology, pulsation frequency, flame temperature, and heat flux. The results demonstrate that flame stability was achieved at an inner/outer cover flow rate ratio of 0.5/4.0 L/min, beyond which further flow rate increases led to reduced combustion efficiency.… More >

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ARTICLE

Samira Marhraoui^1,2,*, Basma Saad³, Hassan Silkan¹, Said Laasri², Asmaa El Hannani³
Energy Engineering, Vol.122, No.7, pp. 2653-2672, 2025, DOI:10.32604/ee.2025.064498 - 27 June 2025
（This article belongs to the Special Issue: Modelling, Optimisation and Forecasting of Photovoltaic and Photovoltaic thermal System Energy Production)
Abstract Photovoltaic (PV) power forecasting is essential for balancing energy supply and demand in renewable energy systems. However, the performance of PV panels varies across different technologies due to differences in efficiency and how they process solar radiation. This study evaluates the effectiveness of deep learning models in predicting PV power generation for three panel technologies: Hybrid-Si, Mono-Si, and Poly-Si, across three forecasting horizons: 1-step, 12-step, and 24-step. Among the tested models, the Convolutional Neural Network—Long Short-Term Memory (CNN-LSTM) architecture exhibited superior performance, particularly for the 24-step horizon, achieving R² = 0.9793 and MAE = 0.0162 for More >

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ARTICLE

Dongfeng Yang, Ruirui Zhang, Chuang Liu^*, Guoliang Bian
Energy Engineering, Vol.122, No.7, pp. 2673-2694, 2025, DOI:10.32604/ee.2025.062154 - 27 June 2025
Abstract Under the current long-term electricity market mechanism, new energy and thermal power face issues such as deviation assessment and compression of generation space. The profitability of market players is limited. Simultaneously, the cooperation model among various energy sources will have a direct impact on the alliance’s revenue and the equity of income distribution within the alliance. Therefore, integrating new energy with thermal power units into an integrated multi-energy complementary system to participate in the long-term electricity market holds significant potential. To simulate and evaluate the benefits and internal distribution methods of a multi-energy complementary system… More >

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100

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ARTICLE

Luki Septya Mahendra¹, Rezi Delfianti^2,*, Karimatun Nisa¹, Sutedjo¹, Bima Mustaqim³, Catur Harsito⁴, Rafiel Carino Syahroni⁵
Energy Engineering, Vol.122, No.7, pp. 2695-2717, 2025, DOI:10.32604/ee.2025.063807 - 27 June 2025
（This article belongs to the Special Issue: Innovative Renewable Energy Systems for Carbon Neutrality: From Buildings to Large-Scale Integration)
Abstract Ensuring the reliability of power systems in microgrids is critical, particularly under contingency conditions that can disrupt power flow and system stability. This study investigates the application of Security-Constrained Optimal Power Flow (SCOPF) using the Line Outage Distribution Factor (LODF) to enhance resilience in a renewable energy-integrated microgrid. The research examines a 30-bus system with 14 generators and an 8669 MW load demand, optimizing both single-objective and multi-objective scenarios. The single-objective optimization achieves a total generation cost of $47,738, while the multi-objective approach reduces costs to $47,614 and minimizes battery power output to 165.02 kW.… More >

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129

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ARTICLE

Chun Xiao^1,2,*
Energy Engineering, Vol.122, No.7, pp. 2719-2750, 2025, DOI:10.32604/ee.2025.063782 - 27 June 2025
（This article belongs to the Special Issue: Emerging Technologies for Future Smart Grids)
Abstract In contemporary power systems, delving into the flexible regulation potential of demand-side resources is of paramount significance for the efficient operation of power grids. This research puts forward an innovative multivariate flexible load aggregation control approach that takes dynamic demand response into full consideration. In the initial stage, using generalized time-domain aggregation modelling for a wide array of heterogeneous flexible loads, including temperature-controlled loads, electric vehicles, and energy storage devices, a novel calculation method for their maximum adjustable capacities is devised. Distinct from conventional methods, this newly developed approach enables more precise and adaptable quantification… More >

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64

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ARTICLE

Jiaqing Wang¹, Yuming Shen^2,*, Xuli Wang², Jiayin Xu²
Energy Engineering, Vol.122, No.7, pp. 2751-2766, 2025, DOI:10.32604/ee.2025.064317 - 27 June 2025
（This article belongs to the Special Issue: The Role of Energy Storage in Energy Transition towards Low Carbon Economies)
Abstract To adapt to the uncertainty of new energy, increase new energy consumption, and reduce carbon emissions, a high-voltage distribution network energy storage planning model based on robustness-oriented planning and distributed new energy consumption is proposed. Firstly, the spatio-temporal correlation of large-scale wind-photovoltaic energy is modeled based on the Vine Copula model, and the spatial correlation of the generated wind-photovoltaic power generation is corrected to get the spatio-temporal correlation of wind-photovoltaic power generation scenarios. Finally, considering the subsequent development of new energy on demand for high-voltage distribution network peaking margin and the economy of the system More >

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76

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ARTICLE

Qiang Gao¹, Lei Shen^1,*, Jiaming Shi², Xinfa Gu², Shanyun Gu¹, Yuwei Ge¹, Yang Xie¹, Xiaoqiong Zhu¹, Baoguo Zang¹, Ming Zhang¹, Muhammad Shahzad Nazir², Jie Ji²
Energy Engineering, Vol.122, No.7, pp. 2767-2800, 2025, DOI:10.32604/ee.2025.065600 - 27 June 2025
Abstract The rapid proliferation of renewable energy integration and escalating grid operational complexity have intensified demands for resilient self-healing mechanisms in modern power systems. Conventional approaches relying on static models and heuristic rules exhibit limitations in addressing dynamic fault propagation and multi-modal data fusion. This study proposes a Transformer-enhanced intelligent microgrid self-healing framework that synergizes large language models (LLMs) with adaptive optimization, achieving three key innovations: (1) A hierarchical attention mechanism incorporating grid impedance characteristics for spatiotemporal feature extraction, (2) Dynamic covariance estimation Kalman filtering with wavelet packet energy entropy thresholds (Daubechies-4 basis, 6-level decomposition), and… More >

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ARTICLE

Roasi A. Flayh^*, Ayser Muneer Flayh
Energy Engineering, Vol.122, No.7, pp. 2801-2818, 2025, DOI:10.32604/ee.2025.062916 - 27 June 2025
（This article belongs to the Special Issue: Advancements in Energy Resources, Processes, Systems, and Materials-(ICSSD2024))
Abstract Double pipe heat exchangers (DPHEs) are normally utilized in various manufacturing uses owing to their simple design and low maintenance requirements. For that, performance enhancement by improved heat transfer is ongoing. Air injections are a good strategy for enhancing the thermal performance of the DPHE. In the present work, the influence of air bubble injection in a DPHE was experimentally investigated, and the system’s hydrothermal performance improvement parameters were evaluated. Two modes were designed, manufactured, and used to conduct the experiments. The first mode was conducted with no air injection, named a single phase mode,… More >

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51

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ARTICLE

Siji Chen¹, Gang Chen², Wei Wang², Han Liu¹, Mukun Ouyang¹, Wanhong Zhang¹, Lianghua Zhang¹, Wei Tang¹, Shilai Hu^2,*
Energy Engineering, Vol.122, No.7, pp. 2819-2843, 2025, DOI:10.32604/ee.2025.065481 - 27 June 2025
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract The construction and operation of sulfur-containing gas storage are often more difficult than a non-sulfur storage facility due to the need to prevent environmental contamination from H₂S leaks, as well as the corrosive effects of H₂S on production facilities. Rapid elutriation of H₂S from the reservoir during the construction of the gas storage is an effective way to avoid these problems. However, the existing H₂S elutriation method has low efficiency and high economic cost, which limits the development of reconstructed gas storage of sulfur-containing gas reservoirs. To improve the efficiency of H₂S elutriation in sulfur-containing gas reservoirs and… More >

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96

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ARTICLE

Yuheng Yin, Lin Wang^*
Energy Engineering, Vol.122, No.7, pp. 2845-2864, 2025, DOI:10.32604/ee.2025.065889 - 27 June 2025
Abstract The accurate estimation of lithium battery state of health (SOH) plays an important role in the health management of battery systems. In order to improve the prediction accuracy of SOH, this paper proposes a stochastic configuration network based on a multi-converged black-winged kite search algorithm, called SBKA-CLSCN. Firstly, the indirect health index (HI) of the battery is extracted by combining it with Person correlation coefficients in the battery charging and discharging cycle point data. Secondly, to address the problem that the black-winged kite optimization algorithm (BKA) falls into the local optimum problem and improve the… More >

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74

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ARTICLE

Yunfeng Liu, Ximin Cao^*, Yanchi Zhang
Energy Engineering, Vol.122, No.7, pp. 2865-2890, 2025, DOI:10.32604/ee.2025.065419 - 27 June 2025
（This article belongs to the Special Issue: Innovative Approaches in Clean Energy Systems: Integration, Sustainability, and Policy Impact of Renewable Energy)
Abstract Against the backdrop of China’s “dual-carbon” target, clean energy generation currently accounts for about 3.8 trillion kilowatt-hours, or 39.7 percent of total power generation, establishing a reasonable market trading mechanism while enhancing the low-carbon economic benefits of the integrated energy system (IES) and optimizing the interests of various entities within the distribution system has become a significant challenge. Consequently, this paper proposes an optimization strategy for a low-carbon economy within a multi-agent IES that considers carbon capture systems (CCS) and power-to-gas (P2G). In this framework, the integrated energy system operator (IESO) acts as the primary… More >

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83

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ARTICLE

Md Tanjil Sarker^1,*, See Wei Jing¹, Gobbi Ramasamy^1,*, Siva Priya Thiagarajah¹, Md. Golam Sadeque²
Energy Engineering, Vol.122, No.7, pp. 2891-2909, 2025, DOI:10.32604/ee.2025.065331 - 27 June 2025
Abstract Industrial processes often involve rotating machinery that generates substantial kinetic energy, much of which remains untapped. Harvesting rotational kinetic energy offers a promising solution to reduce energy waste and improve energy efficiency in industrial applications. This research investigates the potential of electromagnetic induction for harvesting rotational kinetic energy from industrial machinery. A comparative study was conducted between disk and cylinder-shaped rotational bodies to evaluate their energy efficiency under various load conditions. Experimental results demonstrated that the disk body exhibited higher energy efficiency, primarily due to lower mechanical losses compared to the cylinder body. A power… More >

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87

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ARTICLE

Xuesong Xing¹, Li Wang¹, Guangai Wu¹, Chengyong Peng^1,2,3, Yanan Hou¹, Jingyu Zi¹, Biao Yin^2,3,*
Energy Engineering, Vol.122, No.7, pp. 2911-2930, 2025, DOI:10.32604/ee.2025.065384 - 27 June 2025
Abstract Hydraulic fracturing, an effective method for enhancing coal seam productivity, largely determines coalbed methane (CBM) production, which is significantly influenced by geological and engineering factors. This study focuses on the L block to investigate the mechanisms influencing efficient fracture propagation and enhanced stimulated reservoir volume (SRV) in fracturing. To explore the mechanisms influencing effective fracture propagation and enhanced SRV, the L block was selected as the research object, with a comprehensive consideration of geological background, reservoir properties, and dynamic production data. By combining the discrete lattice method with numerical analysis and true triaxial experimental simulation,… More >

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89

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ARTICLE

Rupa Das¹, Roseline Mostafa², Bhaskaran Gopalakrishnan^2,*
Energy Engineering, Vol.122, No.7, pp. 2931-2956, 2025, DOI:10.32604/ee.2025.064887 - 27 June 2025
Abstract Highly energy-efficient buildings have generated remarkable interest over the last few years. There is a need for simulation based effective control systems for efficient usage of electrical and fossil fuel driven devices, as they contribute to energy-efficient buildings and assist in gaining flexibility for the human occupancy-based energy loads. In this context, the integrated energy profile of a building can be ascertained by effective research approaches, as this knowledge would be beneficial to understand the demographics with respect to human occupancy and activities, as well as estimate varying energy consumption over time. Utility data from… More >

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ARTICLE

Nan Li^1,2,*, Jingxiong Dong², Liang Tao³, Liang Huang³
Energy Engineering, Vol.122, No.7, pp. 2957-2975, 2025, DOI:10.32604/ee.2025.062667 - 27 June 2025
（This article belongs to the Special Issue: Emerging Technologies for Future Smart Grids)
Abstract With the continuous expansion and increasing complexity of power system scales, the binary classification for transient stability assessment in power systems can no longer meet the safety requirements of power system control and regulation. Therefore, this paper proposes a multi-class transient stability assessment model based on an improved Transformer. The model is designed with a dual-tower encoder structure: one encoder focuses on the time dependency of data, while the other focuses on the dynamic correlations between variables. Feature extraction is conducted from both time and variable perspectives to ensure the completeness of the feature extraction… More >

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ARTICLE

Hao Jiao¹, Xinyu Liu², Chen Wu¹, Chunlei Xu¹, Zhijun Zhou³, Ye Chen³, Guoqiang Sun^2,*
Energy Engineering, Vol.122, No.7, pp. 2977-2992, 2025, DOI:10.32604/ee.2025.064206 - 27 June 2025
Abstract With the continuous expansion of the power system scale and the increasing complexity of operational mode, the interaction between transmission and distribution systems is becoming more and more significant, placing higher requirements on the accuracy and efficiency of the power system state estimation to address the challenge of balancing computational efficiency and estimation accuracy in traditional coupled transmission and distribution state estimation methods, this paper proposes a collaborative state estimation method based on distribution systems state clustering and load model parameter identification. To resolve the scalability issue of coupled transmission and distribution power systems, clustering… More >

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