Zhixiang Zhang¹, Chao Luo², Chen Zhang^1,*, Zheng Li¹, Yihua Zhu², Xu Cai¹

Energy Engineering, DOI:10.32604/ee.2025.072678

Abstract Fatigue loads on wind turbines are critical factors that significantly influence operational lifespan and reliability. The passive yaw control of wind turbines often fails to capture the dynamic gradient changes of wind speed and direction in the wind field, leading to an increased risk of load overload, severely affecting operational lifespan and reducing power generation efficiency. This impact is even more pronounced during the passage of a cold front. To address this issue, this paper proposes an independent variable-pitch control method that optimizes predictions by utilizing the spatiotemporal relationship between pre-observed cold front patterns and… More >

Huiyong Yu¹, Haifu Li¹, Liwei Zhang¹, Yong Chen¹, Rui Wang¹, Qiyong Xiong¹, Xuyang Guo², Shijie Shen^2,*

Energy Engineering, DOI:10.32604/ee.2025.072416

Abstract Re-fracturing horizontal wells is a critical strategy for enhancing recovery from tight oil reservoirs, but its success depends on the evaluation of candidate wells and locations. This process is complicated by production-induced alterations in reservoir pressure and geomechanical responses. This study introduces a workflow to evaluate re-fracturing potential by integrating coupled fluid flow and geomechanical modeling for the production of initial hydraulic fractures. We developed a numerical model that simulates the poroelastic response of a tight oil reservoir to depletion from an initial set of hydraulic fractures. To quantify the re-fracturing potential along the horizontal… More >

Qiang Liu¹, Yongqiang Zhou¹, Chaoyang Lu², Zhen Yan¹, Gangui Yan², Cheng Yang^2,*, Yupeng Wang²

Energy Engineering, DOI:10.32604/ee.2025.073028

Abstract The increasing proportion of power generated by new energy has meant that grid-forming energy storage has become a key method for improving power grid flexibility. However, the small disturbance stability problem has become an important challenge. The issue is that grid-forming energy storage is prone to low-frequency oscillation under strong grid conditions. Therefore, this study proposes a multi damping torque model to analyze the small signal stability of grid-forming energy storage converters. The impact of grid strength, operating conditions, and control parameters on the damping characteristics of the low-frequency oscillation by the system was quantitatively More >

Haifeng Li¹, Xiao Li¹, Yuchen Hao¹, Tao Jin¹, Yi Cao¹, Yan Yang², Zheng Wang², Yuze Zhou², Yao Zou^3,*

Energy Engineering, DOI:10.32604/ee.2025.072787

Abstract The increasing penetration of renewable energy sources (RES) imposes stringent flexibility requirements on thermal power units (TPUs). Integrating molten salt thermal storage systems (MSTS) and thermal-electric coupling technologies into TPUs has the potential to improve their operational flexibility and regulation capability. However, existing research seldom investigates the combined effects of MSTS retrofitting and thermal-electric output coupling on short-term dispatchability, especially under rapid load variation conditions. This study proposes a comprehensive modeling and multi-timescale optimization framework for MSTS-retrofitted TPUs with rapid load variation capability, enabling coordinated thermal and electrical dispatch in both day-ahead and real-time stages.… More >

Cuihong Wen¹, Jingjing Wen¹, Qinyue Zhang¹, Yeting Wen², Fanyong Cheng^3,*

Energy Engineering, DOI:10.32604/ee.2025.071911

Abstract Air conditioning is a major energy-consuming component in buildings, and accurate air conditioning load forecasting is of great significance for maximizing energy utilization efficiency. However, the deep learning models currently used in the field of air conditioning load forecasting often suffer from issues such as distribution bias in load data and insufficient expression ability of nonlinear features in the model, which affect the accuracy of load forecasting. To address this, this paper proposes a novel load forecasting model. Firstly, the model employs the Dish-TS (DS) module to standardize the input window data through self-learning standardized… More >

Aina Aqilah Mohd Rizal¹, Oskar Hasdinor Hassan², Nor Kartini Jaafar^1,2, Masnawi Mustaffa¹, Mohd Tajudin Mohd Ali^1,*, Ajis Lepit³, Nazli Ahmad Aini^1,2,*

Energy Engineering, DOI:10.32604/ee.2025.071726

Abstract Proton exchange membrane (PEM) is an integral component in fuel cells which enables proton transport for efficient energy conversion. Sulfonated Polyether Ether Ketone (SPEEK) has emerged as a cost-effective option with non-fluorinated aromatic backbones for Proton Exchange Membrane Fuel Cell (PEMFC) applications, even though it exhibits lower proton conductivity compared to Nafion. This work aims to study the influence of Sulfonated Chitosan (SCS) concentrations on proton conductivity of SPEEK-based PEM at room temperature. SPEEK was synthesized using a sulfonation process with concentrated sulfuric acid at room temperature. SCS was synthesized via reflux of CS and… More >

Qian Yang¹, Shenglei Du^1,2, Boyang Chen¹, Yalu Sun¹, Ding Li¹, Zhiheng Zhang^3,*

Energy Engineering, DOI:10.32604/ee.2025.073720

Abstract In recent years, as the core infrastructure of the digital economy, data centers have witnessed increasingly prominent issues of energy consumption and carbon emissions. To achieve the goals of “carbon peak” and “carbon neutrality”, data centers have gradually introduced new energy power such as wind and photovoltaic power. However, the randomness and volatility of their output pose challenges to efficient absorption. Based on the spatiotemporal complementary characteristics of new energy output in multiple data centers and the spatiotemporal migration capability of computing tasks, this paper proposes a new energy-aware adaptive collaborative scheduling strategy for computation… More >

Man Zhang¹, Cheng Chen¹, Hai-Xia Guo¹, Yi-Ming Xiao¹, Xin-Jian Zhao^2,*

Energy Engineering, DOI:10.32604/ee.2025.071943

Abstract Traditional oilfields face increasing extraction challenges, primarily due to reservoir quality degradation and production decline, which are further exacerbated by volatile international crude oil prices—illustrated by Brent Crude’s trajectory from pandemic-induced negative pricing to geopolitically driven surges exceeding USD 100 per barrel. This study addresses these complexities through an integrated methodological framework applied to medium-permeability sandstone reservoirs in the Xinjiang oilfield by combining advanced numerical simulations with multivariate regression analysis. The methodology employs Latin Hypercube Sampling (LHS) to stratify geological parameter distributions and constructs heterogeneous reservoir models using Petrel software, rigorously validated through historical production… More >

Ashna Abduljabbar Haji^*, Ranj S. Abdullah^*

Energy Engineering, DOI:10.32604/ee.2025.073367

Abstract The hybrid photovoltaic solar-assisted heat pump are primarily used to generate electricity and provide thermal energy for heating applications. This study investigates the performance enhancement of a hybrid Photovoltaic Thermal Solar-Assisted Heat Pump (PV/T-SAHP) system integrated with a solar tracking mechanism. The system was simulated using TRNSYS to evaluate its monthly electrical output and coefficient of performance (COP) of the heat pump system over a year. The results showed a significant improvement in energy generation and efficiency compared to a conventional PV/T system without SAHP system. Overall, the solar tracking configuration of the PV/T-SAHP generated… More >

Abdelouahab Benseddik^1,*, Djamel Daoud¹, Ahmed Badji^1,2, Hocine Bensaha¹, Tarik Hadibi^3,5, Yunfeng Wang⁴, Li Ming⁴

Energy Engineering, DOI:10.32604/ee.2025.072991

Abstract In Saharan climates, greenhouses face extreme diurnal temperature fluctuations that generate thermal stress, reduce crop productivity, and hinder sustainable agricultural practices. Passive thermal storage using Phase Change Materials (PCM) is a promising solution to stabilize microclimatic conditions. This study aims to evaluate experimentally and numerically the effectiveness of PCM integration for moderating greenhouse temperature fluctuations under Saharan climatic conditions. Two identical greenhouse prototypes were constructed in Ghardaïa, Algeria: a reference greenhouse and a PCM-integrated greenhouse using calcium chloride hexahydrate (CaCl₂·6H₂O). Thermal performance was assessed during a five-day experimental period (7–11 May 2025) under severe ambient conditions.… More >