Johannes D. Pelda^*, Sebastian Aichele, Dmitry Romanov, Stefan Holler

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.079450 - 12 July 2026

Abstract The transformation of district heating systems in Germany is a central topic in energy and climate policy, given the 2045 climate neutrality targets. This study focuses on the main district heating system in the city of Göttingen in Germany, whose heat generation currently relies primarily on three Combined Heat and Power (CHP) plants subsidized under the German CHP Act, one wood chip boiler and two gas boilers. In 2025, the network’s heating demand amounted to 89 GWh, which was mainly covered by wood chips or biogas (41%) and natural gas (21%). This paper examines an… More > Graphic Abstract

Mingxuan Ji¹, Jing Gao^1,*, Dantian Zhong¹, Yingqi Xu¹, Shuxiang Yang¹, Zhongxiao Du¹, Yingming Liu²

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.074643 - 12 July 2026

Abstract The intermittency of wind power poses severe challenges to the safe and stable operation of power grids, while conventional forecasting models are deficient in prediction accuracy and adaptability to variable weather conditions. To address these issues, this study proposes an adaptive short-term wind power forecasting model integrating affinity propagation (AP) clustering and a black-winged kite algorithm (BKA)-optimized temporal convolutional network-bidirectional long short-term memory (TCN-BiLSTM) hybrid architecture. First, mutual information was employed to screen key meteorological features, and AP clustering categorized historical data into six distinct weather scenarios. A scenario-specific TCN-BiLSTM model was then constructed for… More >

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

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073720 - 12 July 2026

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 >

Riad Mollik Babu¹, Md Shafiul Alam^2,*, Md. Hasibur Rahman³, Mohammad Ali², Md. Alamgir Hossain⁴, Md. Arifuzzaman⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.082366 - 30 June 2026

Abstract The increasing penetration of solar photovoltaic (PV) systems into power grids poses challenges due to their inherent intermittency and variability, which can compromise grid stability and reliability. Hybridizing solar PV with wind energy and battery energy storage system (BESS) offers a promising solution by leveraging resource complementarity and providing fast frequency response. This study presents a techno-economic and environmental assessment of a hybrid renewable energy system. Wind turbines and a BESS are integrated with the existing 7.5 MW Sirajganj Solar PV Power Plant in Bangladesh. The proposed hybrid configuration is evaluated using real-world operational data… More >

Samuel Martínez-Gutiérrez^1,*, Carlos Gutiérrez¹, Alejandro Merino¹, Diego García-Álvarez², Daniel Sarabia¹

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.081247 - 30 June 2026

Abstract Accurate modelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives. However, the precise modelling of wind turbine power output remains challenging, particularly when relying on conventional parametric models, which often struggle to capture complex or non-linear behaviors. This paper compares three modelling approaches to estimate the power produced by a real wind turbine (a Senvion MM82/2050 located in France): one parametric, based on analytical expressions of the power coefficient C_P(λ, β); another nonparametric, which uses Gaussian processes (GP) to probabilistically model the relationship between… More >

Ahmed Muthanna Nori^1,*, Ali Kadhim Abdulabbas¹, Safwan Nadweh², Abdullrahman A. Al-Shammaa^3,*, Hassan M. Hussein Farh³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.080276 - 30 June 2026

Abstract Voltage instability and reactive power fluctuations represent major challenges for DFIG-based wind turbines under load variations and grid disturbances. This paper proposes an integrated fault ride-through enhancement scheme based on a STATCOM supported by a Battery Energy Storage System (BESS) and a braking chopper (BC). The STATCOM regulates the DFIG terminal voltage through dynamic reactive power compensation using a coordinated outer voltage loop and inner synchronous dq-axis current control. The BESS supports the STATCOM DC side and enables fast bidirectional power exchange, while the BC suppresses overvoltage in the DFIG back-to-back converter DC-link during fault… More >

Jia Wang¹, Jiayu Zhou¹, Kangjie Ling¹, Dewen Liu^1,2,*, Chenghao Xu^3,*

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079519 - 30 June 2026

Abstract This study investigates the wind-resistant performance of a masonry pagoda using ABAQUS. Modal analysis was first conducted to identify the first six vibration modes. Wind speed time histories generated via the harmonic superposition method in MATLAB were converted into wind pressure and applied to the pagoda’s surface. The time-history analysis method was employed to study wind-induced vibrations, obtaining nodal displacement time-history responses. Comparative analyses of structural responses were performed under 0° and 90° wind directions. Finally, Carbon fiber reinforced plastic (CFRP) reinforcement was applied, with post-reinforcement damage analysis systematically compared to the pre-reinforcement damaged state. More >

Jalpa Thakkar¹, Siddharth Shankar Mishra², V. Shanmugapriya³, Mohan Kolhe^4,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078267 - 18 June 2026

Abstract The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements of modern power systems, is the need for holistic architectures that can cope with variability, connection issues, and sector coupling far beyond conventional electricity-only models. This review offers a critically synthesized, process-level overview of progressive wind–hydrogen hybrids, offering a collective view of advancements in electrical layouts, hydrogen-driven conversion routes, and AI-driven control schemes. In contrast to previous surveys that consider these areas in isolation, we provide an explicit examination of the technical… More >

Xiaolan Li^1,2,*, Jinyu Shen^1,2, Jinhuang Liang^1,2, Yanting Wang^1,2

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.076521 - 18 June 2026

Abstract The intrinsic volatility and stochasticity of large-scale wind power generation pose significant challenges to grid stability. To address the limitations of conventional models in capturing strong non-stationarity, this study proposes a novel Multi-Stage Adaptive Forecasting Network (MSAF-Net). The framework features a hierarchical signal refinement strategy coupled with an intelligently optimized hybrid predictor. Initially, input redundancy is minimized via Pearson Correlation Coefficient (PCC) analysis to isolate significant meteorological variables. A two-phase decomposition-reconstruction mechanism is then implemented: the wind power series is first decomposed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). To optimize the… More >

Xiaolan Li^1,2, Yanting Wang^1,2,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.076417 - 18 June 2026

Abstract To address the operational challenges of power systems with high renewable penetration, this research targets the non-stationarity and stochasticity of wind power. A novel hybrid framework for probabilistic forecasting and risk assessment is proposed. Initially, Empirical Mode Decomposition (EMD) adaptively decomposes the raw power signal into multi-scale Intrinsic Mode Functions (IMFs) and a residual trend, effectively segregating temporal features and reducing complexity. These components are then fused with historical data to form a comprehensive input. The core predictor is a Bidirectional Gated Recurrent Unit (BiGRU) network enhanced with a Temporal Attention (TA) mechanism. The BiGRU… More >