Article
Green & Sustainable Science & Technology
Rustem Manatbayev, Zhandos Baizhuma, Saltanat Bolegenova, Aleksandar Georgiev
Summary: The study focuses on the icing effects and ice accretion shapes on vertical axis wind turbines. Results show that ice shapes under different angles of attack significantly affect aerodynamic performance, especially in glaze ice conditions.
Article
Multidisciplinary Sciences
Linyue Gao, Hui Hu
Summary: A field campaign was conducted to investigate ice accretion features on large turbine blades and assess power output losses induced by ice accretion. The research found that during icing events, wind turbines experienced up to 80% power output losses.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Green & Sustainable Science & Technology
Xiao Chen, Martin A. Eder, Asm Shihavuddin, Dan Zheng
Summary: This paper introduces a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in Industry 5.0. It emphasizes the importance of artificial intelligence in operating next-generation wind turbines and the application of digital twin technology in machine learning. Additionally, it highlights the supervisory role of human intelligence in high-level decision-making.
Article
Computer Science, Information Systems
Davide Astolfi
Summary: Wind turbines exhibit complex behavior due to varying environmental conditions, and this study focuses on analyzing meaningful operation curves to predict power output accurately. By utilizing multivariate Support Vector Regression with additional input variables, the models show improved performance in predicting power output with reduced error metrics. The approach presented in this study offers a superior capability to interpret wind turbine performance and reduces dependence on nacelle anemometer data, leading to more accurate power predictions.
Article
Engineering, Environmental
Patrice Roberge, Jean Lemay, Jean Ruel, Andre Begin-Drolet
Summary: This study proposes a method for estimating the effective LWC in wind farms using a thermal-based ice sensor, which was calibrated with data from 8 icing events and showed better sensitivity and accuracy.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Wenfeng Guo, He Shen, Yan Li, Fang Feng, Kotaro Tagawa
Summary: Icing significantly degrades the performance of wind turbines in cold and humid regions. This study conducted icing wind tunnel tests to explore the characteristics of icing on the blade surface. The experimental results demonstrate that factors such as rotational speed of the blade and tip speed ratio have significant effects on icing characteristics.
Article
Energy & Fuels
Zhi Cai, Jiali Zhang, Yuxuan Li, Dan Xu
Summary: In this paper, a bi-level multi-area joint maintenance scheduling optimization model is established for high-voltage transmission lines considering the consumption of renewable energy under a two-level market environment. By using the Kuhn-Tucker method, the bi-level model is transformed into a single-level mixed integer programming problem. The proposed method can improve the capability of multi-area power systems to accommodate renewable energy and better arrange maintenance resources.
Article
Engineering, Multidisciplinary
Qisheng Huang, Yunjian Xu, Costas A. Courcoubetis
Summary: By studying a Cournot competition model, it was found that the social welfare achieved at the equilibrium point is always no less than that achieved in a market without energy storage, and the social welfare achieved at the equilibrium converges to the maximum social welfare in the case of an infinite number of symmetric storage owners. Numerical experiments on the IEEE RTS-24 bus test system validated these established results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Zhongqiu Mu, Yan Li, Wenfeng Guo, He Shen, Kotaro Tagawa
Summary: This study evaluates the ice adhesion strength on wind turbine blades under offshore atmospheric conditions. The results show that salt content has the most significant impact on ice adhesion strength, followed by ambient temperature and wind speed. The interaction between wind speed and salt content, as well as ambient temperature and salt content, is extremely significant. This research can serve as a reference for anti-icing strategies for offshore wind turbines.
Article
Thermodynamics
Xu Cheng, Fan Shi, Yongping Liu, Xiufeng Liu, Lizhen Huang
Summary: This paper proposes a federated learning-based model for blade icing detection in wind farms. The model creates client models and aggregates them into a globally weighted model to address icing issues. The results demonstrate the effectiveness of the model in feature extraction and icing detection accuracy.
Article
Materials Science, Multidisciplinary
Fang Feng, Ruixue Wang, Wei Yuan, Yang Li
Summary: In this study, a hydrophobic nano-carbon coating was prepared from corn-straw-biogas residue and showed good pore structure and crystal structure. The hydrophobic and anti-icing effects of the carbon were confirmed by contact-angle measurements and anti-icing experiments. The results showed that the hydrophobic nano-carbon coating could effectively reduce ice thickness and icing areas on wind-turbine blades.
Article
Engineering, Industrial
Rundong Yan, Sarah Dunnett, Lisa Jackson
Summary: This study examines the effectiveness and cost-efficiency of condition monitoring (CM) methods for operating offshore wind turbines (OWTs). Petri Net (PN) simulation models are used to evaluate the OWT availability and operation and maintenance (O & M) costs. The research suggests that combining purpose-designed CM with less frequent advanced service is the most cost-effective approach to achieve high turbine availability. Additionally, the use of a purpose-designed CM is crucial for the economical operation of OWTs and cannot be replaced by the current wind farm SCADA system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Materials Science, Multidisciplinary
Bo Liu, Zhiyuan Liu, Yan Li, Fang Feng
Summary: Wind turbines operating in cold regions often face the problem of blade icing, which can have a negative impact on their aerodynamic characteristics and safety performance. In this study, MoS2/ZnO/PDMS superhydrophobic nano-anti-icing coatings were developed to address this issue. The coatings exhibited a thin sheet-like morphology and a hilly nano-rough structure, resulting in high contact angles and low sliding angles. The results of wind tunnel tests showed that the MoS2/ZnO coatings reduced the level of icing on the blade airfoil surface compared to uncoated blades, highlighting the potential of these coatings for anti-icing applications.
Article
Engineering, Electrical & Electronic
Zhongju Wang, Long Wang, Chao Huang
Summary: This paper presents a fast wind turbine abnormal data cleaning algorithm via image processing for wind turbine power generation performance measurement and evaluation, which includes two stages: data cleaning and data classification. The effectiveness of the proposed method is validated based on real data sets and the computational results prove the proposed approach has achieved better performance in cleaning abnormal wind power data.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Thermodynamics
Mehrdad Mehrjoo, Mohammad Jafari Jozani, Miroslaw Pawlak
Summary: A hybrid estimation approach is proposed in this study to improve the accuracy of wind turbine power curve fitting, showing its effectiveness in enhancing the performance of existing methods.
Article
Engineering, Industrial
Nurseda Y. Yurusen, Paul N. Rowley, Simon J. Watson, Julio J. Melero
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Energy & Fuels
Bowen Li, Sukanta Basu, Simon J. Watson, Herman W. J. Russchenberg
Summary: This study investigated a Dunkelflaute event near the coast of Belgium and simulated it using the WRF model. Validation with measured data and sensitivity experiments revealed the potential and reliability of the WRF model in reproducing and forecasting boundary layer evolution during such events.
Editorial Material
Energy & Fuels
Simon Watson
Article
Energy & Fuels
Bedassa R. Cheneka, Simon J. Watson, Sukanta Basu
Summary: The study found that wind power production and wind power ramps are related to different weather patterns, suggesting that the type of transition between weather patterns determines ramp up or ramp down events.
Article
Green & Sustainable Science & Technology
Nurseda Y. Yurusen, Bahri Uzunoglu, Ana P. Talayero, Andres Llombart Estopinan
Summary: This study analyzed hourly simulation data using machine learning algorithms and association rules to address spatio-temporal operational balancing constraints for solar PV. The proposed model serves as a fast and effective decision-making tool for system operators with minimal expert knowledge and can be integrated into optimal power flow analysis constraints.
Article
Energy & Fuels
Bowen Li, Sukanta Basu, Simon J. Watson, Herman W. J. Russchenberg
Summary: This study investigates Dunkelflaute events occurring in eleven countries surrounding the North and Baltic Sea areas, finding that they mainly occur in November, December, and January with an average of 50-100 hours per year in each country. These events are mainly driven by large-scale high-pressure systems and extensive low-cloud coverage.
Article
Engineering, Multidisciplinary
D. Cevasco, J. Tautz-Weinert, M. Richmond, A. Sobey, A. J. Kolios
Summary: This study aims to investigate the feasibility of detecting and locating anomalies in the jacket support structure of an offshore wind turbine. A monitoring scheme is proposed based on a database of simulated modal properties, and a supervised Fisher's linear discriminant analysis is used to transform modal indicators for anomaly identification. A fuzzy clustering algorithm is trained to predict the membership of new data. A case study demonstrates the effectiveness of the global monitoring in detecting and locating simulated scenarios.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING
(2022)
Article
Acoustics
Yanan Zhang, Francesco Avallone, Simon Watson
Summary: With the development of the wind power industry, the condition monitoring and damage detection of wind turbine blades have become increasingly important. This study investigates a new non-contact approach for damage detection based on the measurement of airfoil aerodynamic noise. Experimental results show that the size of trailing edge cracks has a significant impact on the noise level at small angles of attack and low turbulence intensities.
Article
Mechanics
S. Khoshmanesh, S. J. Watson, D. Zarouchas
Summary: This study investigates changes in the stiffness and damping of a thick adhesive joint test specimen during a fatigue test. The results show different phases of damage and the corresponding changes in stiffness and damping.
COMPOSITE STRUCTURES
(2022)
Article
Energy & Fuels
Ana P. Talayero, Julio J. Melero, Andres Llombart, Nurseda Y. Yurusen
Summary: In recent years, photovoltaic (PV) energy development has mainly focused on large utility-scale plants comprising numerous panels connected to high-power inverters. Accurate estimation of power production is necessary for failure detection, identifying production deviations, and integrating the plants into the power grid. This study utilizes machine learning models developed using data from large utility-scale PV plants, incorporating information on non-uniform radiation distribution across the solar field. The optimized models achieved better performance, with random forest technique exhibiting the lowest RMS error ranging from 1.9% to 5.4%, compared to previous models developed for small PV plants.
Article
Green & Sustainable Science & Technology
Sarah J. Ollier, Simon J. Watson
Summary: This study investigates the potential impact of trapped lee waves (TLWs) on a UK near-coastal offshore wind farm, showing that TLWs can significantly alter the wind speeds and power output of individual turbines and the whole wind farm.
WIND ENERGY SCIENCE
(2023)
Proceedings Paper
Energy & Fuels
Julio J. Melero, Jorge Bruna, Javier Leiva
Summary: This paper presents a small part of the Living Lab of Smartcity Malaga, a real low-voltage DC grid, where the authors will carry out metrology-grade measurement to understand the power quality phenomena occurring in the grid.
2022 20TH INTERNATIONAL CONFERENCE ON HARMONICS & QUALITY OF POWER (ICHQP 2022)
(2022)
Proceedings Paper
Energy & Fuels
Ana P. Talayero, Nurseda Y. Yurusen, Francisco Jose Sanchez Ramos, Roberto Lazaro Gaston
Summary: Data preprocessing is a crucial phase in wind resource assessment and wind power curve performance analysis. It involves ensuring high quality and representative data availability to make reliable investment decisions. The current practice relies on manual scanning of data by experts using fixed rules, which is time-consuming and inefficient. This study proposes the use of machine learning algorithms to generate efficient classifiers for unfiltered and filtered data, with tree-based classifiers performing better.
WINDEUROPE ANNUAL EVENT 2022
(2022)
Review
Green & Sustainable Science & Technology
Amir R. Nejad, Jonathan Keller, Yi Guo, Shawn Sheng, Henk Polinder, Simon Watson, Jianning Dong, Zian Qin, Amir Ebrahimi, Ralf Schelenz, Francisco Gutierrez Guzman, Daniel Cornel, Reza Golafshan, Georg Jacobs, Bart Blockmans, Jelle Bosmans, Bert Pluymers, James Carroll, Sofia Koukoura, Edward Hart, Alasdair McDonald, Anand Natarajan, Jone Torsvik, Farid K. Moghadam, Pieter-Jan Daems, Timothy Verstraeten, Cedric Peeters, Jan Helsen
Summary: This paper reviews the development of wind turbine drivetrain technology and identifies future challenges and research gaps, including drivetrain dynamic responses in large or floating turbines, aerodynamic and farm control effects, use of rare-earth material in generators, improving reliability through prognostics, and the use of advances in digitalization.
WIND ENERGY SCIENCE
(2022)
Proceedings Paper
Green & Sustainable Science & Technology
Roberto Lazaro, Nurseda Y. Yurusen, Julio J. Melero
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5
(2020)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
