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Keywords = building integrated wind turbine

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30 pages, 9435 KiB  
Article
Intelligent Fault Warning Method for Wind Turbine Gear Transmission System Driven by Digital Twin and Multi-Source Data Fusion
by Tiantian Xu, Xuedong Zhang and Wenlei Sun
Appl. Sci. 2025, 15(15), 8655; https://doi.org/10.3390/app15158655 (registering DOI) - 5 Aug 2025
Abstract
To meet the demands for real-time and accurate fault warning of wind turbine gear transmission systems, this study proposes an innovative intelligent warning method based on the integration of digital twin and multi-source data fusion. A digital twin system architecture is developed, comprising [...] Read more.
To meet the demands for real-time and accurate fault warning of wind turbine gear transmission systems, this study proposes an innovative intelligent warning method based on the integration of digital twin and multi-source data fusion. A digital twin system architecture is developed, comprising a high-precision geometric model and a dynamic mechanism model, enabling real-time interaction and data fusion between the physical transmission system and its virtual model. At the algorithmic level, a CNN-LSTM-Attention fault prediction model is proposed, which innovatively integrates the spatial feature extraction capabilities of a convolutional neural network (CNN), the temporal modeling advantages of long short-term memory (LSTM), and the key information-focusing characteristics of an attention mechanism. Experimental validation shows that this model outperforms traditional methods in prediction accuracy. Specifically, it achieves average improvements of 0.3945, 0.546 and 0.061 in Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and R-squared (R2) metrics, respectively. Building on the above findings, a monitoring and early warning platform for the wind turbine transmission system was developed, integrating digital twin visualization with intelligent prediction functions. This platform enables a fully intelligent process from data acquisition and status evaluation to fault warning, providing an innovative solution for the predictive maintenance of wind turbines. Full article
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25 pages, 4919 KiB  
Article
Integrating BIM Forward Design with CFD Numerical Simulation for Wind Turbine Blade Analysis
by Shaonan Sun, Mengna Li, Yifan Shi, Chunlu Liu and Ailing Wang
Energies 2025, 18(15), 3989; https://doi.org/10.3390/en18153989 - 25 Jul 2025
Viewed by 334
Abstract
Wind turbine blades face significant challenges from stochastic wind loads, impacting structural integrity. Traditional analysis often isolates Computational Fluid Dynamics (CFD) from Building Information Modeling (BIM) in the design process. This study bridges this gap by integrating BIM forward design with CFD simulation. [...] Read more.
Wind turbine blades face significant challenges from stochastic wind loads, impacting structural integrity. Traditional analysis often isolates Computational Fluid Dynamics (CFD) from Building Information Modeling (BIM) in the design process. This study bridges this gap by integrating BIM forward design with CFD simulation. A universal BIM modeling framework is developed for rapid blade modeling, which is compatible with ANSYS Workbench 2022 R1 through intermediate format conversion. The influence of wind load on the blades under various wind speed conditions is analyzed, and the results indicate a significant correlation between wind load intensity and blade structural response. The maximum windward pressure reaches 4.96 kPa, while the leeward suction peaks at −6.28 kPa. The displacement at the tip and middle part of the blades significantly increases with the increase in wind speed. The growth rate of displacement between adjacent speeds rises from 1.20 to 1.94, and the overall increase rate within the entire range rises from 1.02 to 4.16. These results demonstrate the feasibility of using BIM forward design in accurate performance analysis, and also extends the value of BIM in wind energy. Furthermore, a bidirectional information flow is established, where BIM provides geometry for CFD, and simulation results will inform BIM design refinement. Full article
(This article belongs to the Special Issue Wind Generators Modelling and Control: 2nd Edition)
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31 pages, 3874 KiB  
Review
Vertical-Axis Wind Turbines in Emerging Energy Applications (1979–2025): Global Trends and Technological Gaps Revealed by a Bibliometric Analysis and Review
by Beatriz Salvador-Gutierrez, Lozano Sanchez-Cortez, Monica Hinojosa-Manrique, Adolfo Lozada-Pedraza, Mario Ninaquispe-Soto, Jorge Montaño-Pisfil, Ricardo Gutiérrez-Tirado, Wilmer Chávez-Sánchez, Luis Romero-Goytendia, Julio Díaz-Aliaga and Abner Vigo-Roldán
Energies 2025, 18(14), 3810; https://doi.org/10.3390/en18143810 - 17 Jul 2025
Viewed by 788
Abstract
This study provides a comprehensive overview of vertical-axis wind turbines (VAWTs) for emerging energy applications by combining a bibliometric analysis and a thematic mini-review. Scopus-indexed publications from 1979 to 2025 were analyzed using PRISMA guidelines and bibliometric tools (Bibliometrix, CiteSpace, and VOSviewer) to [...] Read more.
This study provides a comprehensive overview of vertical-axis wind turbines (VAWTs) for emerging energy applications by combining a bibliometric analysis and a thematic mini-review. Scopus-indexed publications from 1979 to 2025 were analyzed using PRISMA guidelines and bibliometric tools (Bibliometrix, CiteSpace, and VOSviewer) to map global research trends, and a parallel mini-review distilled recent advances into five thematic areas: aerodynamic strategies, advanced materials, urban integration, hybrid systems, and floating offshore platforms. The results reveal that VAWT research output has surged since 2006, led by China with strong contributions from Europe and North America, and is concentrated in leading renewable energy journals. Dominant topics include computational fluid dynamics (CFD) simulations, performance optimization, wind–solar hybrid integration, and adaptation to turbulent urban environments. Technologically, active and passive aerodynamic innovations have boosted performance albeit with added complexity, remaining mostly at moderate technology readiness (TRL 3–5), while advanced composite materials are improving durability and fatigue life. Emerging applications in microgrids, building-integrated systems, and offshore floating platforms leverage VAWTs’ omnidirectional, low-noise operation, although challenges persist in scaling up, control integration, and long-term field validation. Overall, VAWTs are gaining relevance as a complement to conventional turbines in the sustainable energy transition, and this study’s integrated approach identifies critical gaps and high-priority research directions to accelerate VAWT development and help transition these turbines from niche prototypes to mainstream renewable solutions. Full article
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24 pages, 2094 KiB  
Article
Optimizing Hybrid Renewable Energy Systems for Isolated Applications: A Modified Smell Agent Approach
by Manal Drici, Mourad Houabes, Ahmed Tijani Salawudeen and Mebarek Bahri
Eng 2025, 6(6), 120; https://doi.org/10.3390/eng6060120 - 1 Jun 2025
Viewed by 1123
Abstract
This paper presents the optimal sizing of a hybrid renewable energy system (HRES) for an isolated residential building using modified smell agent optimization (mSAO). The paper introduces a time-dependent approach that adapts the selection of the original SAO control parameters as the algorithm [...] Read more.
This paper presents the optimal sizing of a hybrid renewable energy system (HRES) for an isolated residential building using modified smell agent optimization (mSAO). The paper introduces a time-dependent approach that adapts the selection of the original SAO control parameters as the algorithm progresses through the optimization hyperspace. This modification addresses issues of poor convergence and suboptimal search in the original algorithm. Both the modified and standard algorithms were employed to design an HRES system comprising photovoltaic panels, wind turbines, fuel cells, batteries, and hydrogen storage, all connected via a DC-bus microgrid. The components were integrated with the microgrid using DC-DC power converters and supplied a designated load through a DC-AC inverter. Multiple operational scenarios and multi-objective criteria, including techno-economic metrics such as levelized cost of energy (LCOE) and loss of power supply probability (LPSP), were evaluated. Comparative analysis demonstrated that mSAO outperforms the standard SAO and the honey badger algorithm (HBA) used for the purpose of comparison only. Our simulation results highlighted that the PV–wind turbine–battery system achieved the best economic performance. In this case, the mSAO reduced the LPSP by approximately 38.89% and 87.50% over SAO and the HBA, respectively. Similarly, the mSAO also recorded LCOE performance superiority of 4.05% and 28.44% over SAO and the HBA, respectively. These results underscore the superiority of the mSAO in solving optimization problems. Full article
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21 pages, 2397 KiB  
Article
Integration of Recent Prospective LCA Developments into Dynamic LCA of Circular Economy Strategies for Wind Turbines
by Pia Heidak, Anne-Marie Isbert, Sofia Haas and Mario Schmidt
Energies 2025, 18(10), 2509; https://doi.org/10.3390/en18102509 - 13 May 2025
Cited by 1 | Viewed by 640
Abstract
This study builds a bridge between the advancements from prospective life cycle assessments (pLCAs) and dynamic life cycle assessments (dLCAs) to improve the evaluation of circular economy (CE) strategies for long-lived products such as energy technologies. Based on a literature review of recent [...] Read more.
This study builds a bridge between the advancements from prospective life cycle assessments (pLCAs) and dynamic life cycle assessments (dLCAs) to improve the evaluation of circular economy (CE) strategies for long-lived products such as energy technologies. Based on a literature review of recent developments from pLCA and dLCA, an extended LCA methodology is proposed that provides guidance in the consideration and integration of technological and market dynamics across all major LCA steps of a dLCA, whose flows and impacts extend over a long period of time. This ensures a more accurate assessment of the impacts on global warming over time by explicitly incorporating temporal differentiation into goals and scopes, life cycle inventories, and interpretations. The methodology was applied to compare two CE measures for wind turbines: full repowering, including material recycling, and partial repowering. The analysis revealed that full repowering is the environmentally preferable option from the perspective of global warming potential, as the higher electricity output offsets the emissions associated with decommissioning and new construction. The findings were robust under various assumptions on future technological advancements, the underlying decarbonization scenario aligned with the Paris Agreement, and the application of discounting of future emissions. Ultimately, this work provides a practical yet adaptable approach for integrating future-oriented LCA methods into decision-making for more sustainable infrastructure and machinery. Full article
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18 pages, 5848 KiB  
Article
Enhancing Urban Sustainability with Novel Vertical-Axis Wind Turbines: A Study on Residential Buildings in Çeşme
by Yousif Abed Saleh Saleh, Murat Durak and Cihan Turhan
Sustainability 2025, 17(9), 3859; https://doi.org/10.3390/su17093859 - 24 Apr 2025
Cited by 1 | Viewed by 1624
Abstract
This study investigates the integration of three types of vertical-axis wind turbines (VAWTs)—helical, IceWind, and a combined design—on residential buildings in Çeşme, Türkiye, a region with an average wind speed of 7 m/s. The research explores the potential of small-scale wind turbines in [...] Read more.
This study investigates the integration of three types of vertical-axis wind turbines (VAWTs)—helical, IceWind, and a combined design—on residential buildings in Çeşme, Türkiye, a region with an average wind speed of 7 m/s. The research explores the potential of small-scale wind turbines in urban areas, providing sustainable solutions for renewable energy generation and reducing reliance on conventional energy sources. The turbines were designed and analyzed using SolidWorks and ANSYS Fluent, achieving power outputs of 350 W for the helical turbine, 430 W for the IceWind turbine, and 590 W for the combined turbine. A total of 42 turbines were mounted on a five-storey residential building model, and DesignBuilder software was utilized to simulate and evaluate the energy consumption. The baseline energy consumption of 172 kWh/m2 annually was reduced by 18.45%, 22.93%, and 30.88% for the helical, IceWind, and combined turbines, respectively. Furthermore, the economic analysis showed payback periods of 12.89 years for the helical turbine, 10.60 years for the IceWind turbine, and 10.49 years for the combined turbine. These findings emphasize the viability of integrating VAWTs into urban buildings as an effective strategy for reducing energy consumption, lowering costs, and enhancing energy efficiency. Full article
(This article belongs to the Special Issue Sustainable Net-Zero-Energy Building Solutions)
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24 pages, 2609 KiB  
Article
Evaluation of the Possibility of Using a Home Wind Installation as Part of the Operation of Hybrid Systems—A Selected Case Study of Investment Profitability Analysis
by Wojciech Lewicki, Mariusz Niekurzak and Adam Koniuszy
Energies 2025, 18(8), 2016; https://doi.org/10.3390/en18082016 - 14 Apr 2025
Viewed by 576
Abstract
The renewable energy sector is becoming key to the energy transformation processes of modern economies. The energy policy of one of the European countries specifies that by 2030, about 7% of energy production will come from wind sources. Because wind turbines are becoming [...] Read more.
The renewable energy sector is becoming key to the energy transformation processes of modern economies. The energy policy of one of the European countries specifies that by 2030, about 7% of energy production will come from wind sources. Because wind turbines are becoming more and more efficient, innovative projects are being created to expand their potential by integrating them with the energy systems of existing residential buildings. The analysis of the profitability of such investments may be important for the implementation of such an ambitious plan. In particular, this argument may be crucial for the growth of the potential and development prospects of distributed energy systems based on renewable energy sources. The article outlines the challenges related to forecasting generation from this energy source. The article aims to present the methodology, energy potential and forecasting results of energy generation from wind sources for two selected locations in one of the European Union countries, Poland. The NPV-Net Present Value and IRR-Internal Rate of Return methods were used for the study. These methods allowed the authors to calculate the market value of the investment with the assumed boundary criteria and determine the economic efficiency of the investment. The research was carried out in the period December 2023–November 2024 on test wind installations in households. In addition, the article indicates the challenges related to the variability of atmospheric factors and the self-consumption of the wind turbine, which is often difficult to predict due to the lack of turbine efficiency analysis. The presented models showed that the project in their implementation is fully economically justified and will allow investors to make a rational investment decision. These models can be effectively used in other countries and can also be a starting point for discussions on the direction of the development of energy systems based on renewable energy sources. Full article
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28 pages, 1460 KiB  
Article
Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study
by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek and Krzysztof Tyburek
Energies 2025, 18(7), 1706; https://doi.org/10.3390/en18071706 - 28 Mar 2025
Cited by 3 | Viewed by 4978
Abstract
IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how energy is consumed, monitored, and optimized, especially in distributed energy systems. By using IoT sensors and smart meters, buildings can collect real-time data on energy usage [...] Read more.
IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how energy is consumed, monitored, and optimized, especially in distributed energy systems. By using IoT sensors and smart meters, buildings can collect real-time data on energy usage patterns, occupancy, temperature, and lighting conditions.AI algorithms then analyze this data to identify inefficiencies, predict energy demand, and suggest or automate adjustments to optimize energy use. Integrating renewable energy sources, such as solar panels and wind turbines, into distributed systems uses IoT-based monitoring to ensure maximum efficiency in energy generation and use. These systems also enable dynamic energy pricing and load balancing, allowing buildings to participate in smart grids by storing or selling excess energy.AI-based predictive maintenance ensures that renewable energy systems, such as inverters and batteries, operate efficiently, minimizing downtime. The case studies show how IoT and AI are driving sustainable development by reducing energy consumption and carbon footprints in residential, commercial, and industrial buildings. Blockchain and IoT can further secure transactions and data in distributed systems, increasing trust, sustainability, and scalability. The combination of IoT, AI, and renewable energy sources is in line with global energy trends, promoting decentralized and greener energy systems. The case study highlights that adopting IoT and AI for energy management offers not only environmental benefits but also economic benefits, such as cost savings and energy independence. The best achieved accuracy was 0.8179 (RMSE 0.01). The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management. Full article
(This article belongs to the Section A: Sustainable Energy)
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27 pages, 1654 KiB  
Review
Perspectives of Building-Integrated Wind Turbines (BIWTs)
by Mladen Bošnjaković, Nataša Veljić and Ivan Hradovi
Smart Cities 2025, 8(2), 55; https://doi.org/10.3390/smartcities8020055 - 25 Mar 2025
Viewed by 2070
Abstract
There is a trend towards urbanization and thus higher energy consumption in buildings, while decarburization and renewable energy sources (RESs) are becoming top priorities. Building-integrated wind turbines (BIWTs) represent a potential solution, especially in urban areas where space is limited. The aim of [...] Read more.
There is a trend towards urbanization and thus higher energy consumption in buildings, while decarburization and renewable energy sources (RESs) are becoming top priorities. Building-integrated wind turbines (BIWTs) represent a potential solution, especially in urban areas where space is limited. The aim of this article is to examine the technical, economic, and environmental aspects of the application of BIWTs based on the scientific literature, considering innovations and challenges related to their wider application. The analysis shows that BIWTs have a high capital cost (CapEx) and levelized cost of electricity (LCOE) due to the lower capacity factor, shorter lifetime, and high cost of building integration. However, the application of technologies such as computational fluid dynamics (CFD), additive manufacturing (3D printing), and artificial intelligence (AI) makes it possible to enhance the efficiency of turbines and reduce production and maintenance costs. Esthetically acceptable performance, noise reduction and possible integration with photovoltaic systems further enhance BIWT. In the short term, BIWT will remain a niche market, but policies and legislation mandating greater use of RES in buildings, as well as financial incentives, can significantly boost the growth of BIWT, which is particularly likely in coastal areas with favorable wind conditions. In the long term, BIWT has the potential to make an important contribution to sustainable urban development and the energy transition. Full article
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29 pages, 11740 KiB  
Article
Performance Analysis and Numerical Modeling of Mechanical and Electrical Components in a Rooftop Vertical-Axis Wind Turbine
by Sudip Basack, Satyabrata Podder, Shantanu Dutta and Elena Lucchi
Energies 2025, 18(7), 1623; https://doi.org/10.3390/en18071623 - 24 Mar 2025
Viewed by 522
Abstract
This study explores the integration of wind power generation into urban infrastructure via a rooftop vertical-axis wind turbine. A rigorous experimental framework was established by installing a small-scale turbine on an urban building for performance assessment under controlled conditions. Simulated environmental conditions were [...] Read more.
This study explores the integration of wind power generation into urban infrastructure via a rooftop vertical-axis wind turbine. A rigorous experimental framework was established by installing a small-scale turbine on an urban building for performance assessment under controlled conditions. Simulated environmental conditions were created using a pedestal fan and blower to evaluate mechanical interactions between the components and electrical output efficiency of the turbine. Extensive numerical modeling was conducted to analyze turbine performance, by computational fluid dynamics using ANSYS FLUENT. The results reveal that the turbine operates efficiently even at low to moderate wind speeds (0.5–6 m/s), demonstrating its feasibility for urban deployment. Performance tests indicated that, as the shaft rotational speed increased from 55 rpm to 115 rpm, the output voltage, current and power varied nonlinearly in the ranges of 3–11.9 V, 20–130 mA and 0.05–2.7 W, respectively. Vibration measurement at specified turbine locations revealed nonlinear variation in displacement, velocity, acceleration and frequency without fixed patterns. Good agreement was observed between the experimental and numerical results. The numerical model yielded interesting profiles related to velocity and turbulence distributions, apart from torque, mechanical power and electrical voltage. Important conclusions were drawn from the entire work. Full article
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)
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21 pages, 7982 KiB  
Article
Prediction of Fatigue Life at the Root Section of Offshore Single-Pile Wind Turbine Tower
by Xingguo Gao, Huihuang Ying, Lele Li, Zengliang Chang, Mei Kong and Xiaojie Tian
J. Mar. Sci. Eng. 2025, 13(3), 620; https://doi.org/10.3390/jmse13030620 - 20 Mar 2025
Viewed by 513
Abstract
This study presents a comprehensive investigation into multi-directional fatigue damage characteristics of fixed offshore wind turbine tower roots through comparative analysis using FAST (3.5.0) and Bladed (4.3) software platforms. The research methodology encompasses three principal phases: First, a stochastic wind field model was [...] Read more.
This study presents a comprehensive investigation into multi-directional fatigue damage characteristics of fixed offshore wind turbine tower roots through comparative analysis using FAST (3.5.0) and Bladed (4.3) software platforms. The research methodology encompasses three principal phases: First, a stochastic wind field model was developed through statistical analysis of historical wind speed measurements, achieving superior correlation (R2 = 0.983) in goodness-of-fit tests. Subsequently, the rain flow counting technique was employed to characterize equivalent cyclic load spectra. Building upon these foundations, an integrated predictive fatigue life evaluation framework was formulated by synergistically combining S–N curve principles with Palmgren–Miner’s linear cumulative damage theory. The methodology was further validated through cross-platform verification with Bladed software, revealing only a 7.4% deviation in predicted fatigue lives between the two computational models, confirming the technical feasibility of the proposed simplified model. Full article
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17 pages, 5964 KiB  
Article
Recycling Decommissioned Wind Turbine Blades for Post-Disaster Housing Applications
by Cihan Turhan, Murat Durak, Yousif Abed Saleh Saleh and Alper Kalaycı
Recycling 2025, 10(2), 42; https://doi.org/10.3390/recycling10020042 - 12 Mar 2025
Viewed by 1270
Abstract
The growing adoption of wind energy has resulted in an increasing number of decommissioned wind turbine blades, which pose significant disposal challenges due to their size, material composition, and environmental impact. Recycling these blades has thus become essential. To this aim, this study [...] Read more.
The growing adoption of wind energy has resulted in an increasing number of decommissioned wind turbine blades, which pose significant disposal challenges due to their size, material composition, and environmental impact. Recycling these blades has thus become essential. To this aim, this study explores the potential of using recycled wind turbine blades in post-disaster housing applications and examines the feasibility of re-purposing these durable composite materials to create robust, cost-effective, and sustainable building solutions for emergency housing. A case study of a post-earthquake relief camp in Hatay, Türkiye, affected by the 2023 earthquake, is used for analysis. First, the energy consumption of thirty traditional modular container-based post-disaster housing units is simulated with a dynamic building simulation tool. Then, the study introduces novel wind turbine blade-based housing (WTB-bH) designs developed using the same simulation tool. The energy consumption of these (WTB-bH) units is compared to that of traditional containers. The results indicate that using recycled wind turbine blades for housing not only contributes to waste reduction but also achieves 27.3% energy savings compared to conventional methods. The novelty of this study is in demonstrating the potential of recycled wind turbine blades to offer durable and resilient housing solutions in post-disaster situations and to advocate for integrating this recycling method into disaster recovery frameworks, highlighting its ability to enhance sustainability and resource efficiency in construction. Overall, the output of this study may help to present a compelling case for the innovative reuse of decommissioned wind turbine blades, providing an eco-friendly alternative to traditional waste disposal methods while addressing critical needs in post-disaster scenarios. Full article
(This article belongs to the Topic Sustainable Building Materials)
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28 pages, 16723 KiB  
Article
Frequency and Time Domain Simulations of a 15 MW Floating Wind Turbine Integrating with Multiple Flap-Type WECs
by Yi Yang, Chenyu Liang, Shi Liu, Jiale Jiang, Zheng Huang, Chonggan Liang, Wenjun Ou, Tao Tao and Mingsheng Chen
Sustainability 2025, 17(6), 2448; https://doi.org/10.3390/su17062448 - 11 Mar 2025
Cited by 1 | Viewed by 971
Abstract
This study integrates offshore wind power and wave power generation technologies to build a multi-energy complementary renewable energy system, which provides references for marine clean energy development and is highly consistent with the global sustainable development goals. The platform consists of a UMaine [...] Read more.
This study integrates offshore wind power and wave power generation technologies to build a multi-energy complementary renewable energy system, which provides references for marine clean energy development and is highly consistent with the global sustainable development goals. The platform consists of a UMaine VolturnUS-S semi-submersible platform and a group of flap-type wave energy converters. A 15 MW wind turbine is installed on the platform. The hydrodynamic model is established using AQWA. Combined with the upper wind load, the fully coupled time domain model of the integrated power generation platform is constructed using the open-source software F2A. The main purpose is to optimize the parameters of the flap-type wave energy device through frequency domain hydrodynamic analysis and then explore the influence of the wave energy device on the platform under the combined action of regular waves and turbulent wind through a series of working conditions. The results show that when the PTO stiffness is 8 × 107 N·m/rad, the PTO damping takes the optimal damping and has a higher power generation capacity. Secondly, the coupled wave energy device induces minimal hydrodynamic interference between multiple bodies, resulting in negligible impact on the natural frequency of the wind-wave combined platform motion. Overall, the wave energy device can effectively suppress the freedom of shaking degree of the floating wind-wave combined platform. Full article
(This article belongs to the Section Sustainable Engineering and Science)
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16 pages, 4374 KiB  
Article
Investigation of Short Carbon Fiber-Reinforced Polylactic Acid Composites Blades for Horizontal Axis Wind Turbines: Mechanical Strength and Energy Efficiency of Fused Filament Fabrication-Printed Blades
by Lotfi Ben Said, Sarhan Karray, Wissem Zghal, Hamdi Hentati, Badreddine Ayadi, Alaa Chabir and Muapper Alhadri
J. Compos. Sci. 2025, 9(3), 118; https://doi.org/10.3390/jcs9030118 - 4 Mar 2025
Cited by 3 | Viewed by 1114
Abstract
The use of 3D printing is expanding in manufacturing wind turbine blades for renewable energy. This study examines the relationship between geometric parameters, mechanical strength, and aerodynamic performance in blades made from short carbon fiber-reinforced PLA (SCFR-PLA) composites. To achieve this, it includes [...] Read more.
The use of 3D printing is expanding in manufacturing wind turbine blades for renewable energy. This study examines the relationship between geometric parameters, mechanical strength, and aerodynamic performance in blades made from short carbon fiber-reinforced PLA (SCFR-PLA) composites. To achieve this, it includes a comparative evaluation of innovative blade designs and materials, aiming to enhance both the energy efficiency and mechanical durability of horizontal axis wind turbines (HAWTs). The numerical model of the wind turbine blade is validated against experimental results, which employed a NACA geometry and ABS polymer. Building upon this validation, a design of experiments (DOE) analysis is employed to explore the influence of fused filament fabrication (FFF) parameters on the mechanical properties of SCFR-PLA composites. A novel blade design, referred to as HAWTSav, is numerically evaluated using 3D-printed SCFR-PLA composites. Numerical simulations are conducted to evaluate the energy efficiency and structural integrity of the HAWTSav blade. A comparative analysis is then performed, contrasting the performance of the conventional NACA blade in ABS with the HAWTSav blade in SCFR-PLA composites. The findings highlight the potential of SCFR-PLA composites in the development of efficient and durable wind turbine blades, highlighting their applicability, particularly in small-scale wind energy systems. Full article
(This article belongs to the Special Issue Application of Composite Materials in Additive Manufacturing)
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35 pages, 6109 KiB  
Review
A Review of Earth-Air Heat Exchangers: From Fundamental Principles to Hybrid Systems with Renewable Energy Integration
by Hanna Koshlak
Energies 2025, 18(5), 1017; https://doi.org/10.3390/en18051017 - 20 Feb 2025
Cited by 5 | Viewed by 2565
Abstract
Earth-Air Heat Exchangers (EAHEs) provide a compelling solution for improving building energy efficiency by harnessing the stable subterranean temperature to pre-treat ventilation air. This comprehensive review delves into the foundational principles of EAHE operation, meticulously examining heat and mass transfer phenomena at the [...] Read more.
Earth-Air Heat Exchangers (EAHEs) provide a compelling solution for improving building energy efficiency by harnessing the stable subterranean temperature to pre-treat ventilation air. This comprehensive review delves into the foundational principles of EAHE operation, meticulously examining heat and mass transfer phenomena at the ground-air interface. This study meticulously investigates the impact of key factors, including soil characteristics, climatic conditions, and crucial system design parameters, on overall system performance. Beyond independent applications, this review explores the integration of EAHEs with a diverse array of renewable energy technologies, such as air-source heat pumps, photovoltaic thermal (PVT) panels, wind turbines, fogging systems, water spray channels, solar chimneys, and photovoltaic systems. This exploration aims to clarify the potential of hybrid systems in achieving enhanced energy efficiency, minimizing environmental impact, and improving the overall robustness of the system. Full article
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