Article
Environmental Sciences
Xinba Li, Panagiotis Mitsopoulos, Yue Yin, Malaquias Pena
Summary: The SARAL-AltiKa dataset was used to evaluate offshore wind energy resources in the Southern New England region, finding a bias of underestimation of high H-s values at coastal sites. The relationship between wind strength and H-s in the AltiKa measurements closely resembled buoy observations, indicating potential for wind energy resource estimation extrapolation.
Article
Energy & Fuels
Chris G. West, Ronald B. Smith
Summary: This study analyzed the characteristics of wind speed variability over 40 years, showing different Weibull parameters for different frequency bands and variations in storm intervals and intensity in different regions. Winds are more stable in the equatorial region with lower storm variance, potentially achieving a higher capacity factor.
Article
Engineering, Marine
Conghuan Le, Jianyu Ren, Kai Wang, Puyang Zhang, Hongyan Ding
Summary: This study found that both the three-column SFOWT and four-column SFOWT have good towing performance when the significant wave height is less than 5 meters, meeting the requirement that roll and pitch are less than 5 degrees during the towing process. The four-column SFOWT shows relatively better performance in heave motion and roll motion, but the towing force is relatively larger compared with the three-column SFOWT under the same condition, indicating the importance of wave conditions in determining the towing performance of floating offshore wind turbines.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Yusha Shi, Wenjuan Yao, Guoliang Yu
Summary: This paper utilizes the improved Tajimi model and transfer matrix method to analyze the dynamic response of offshore wind turbines supported by pile groups under wind and wave load. The vibration equation of the structure is established through tower discretization, and the calculation result is compared with numerical simulation. It is found that the horizontal displacement of the structure under different load frequencies can be obtained, and the wind speed and foundation impedance play important roles in the displacement. The pile-pile interaction factor is dependent on the pile spacing, pile embedment ratio, and incidence angle.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Xiaohan Fu, Meiping Sheng
Summary: The existing blade protection mechanisms for offshore wind turbines are highly dependent on the control system and its power supply, leading to potential safety risks under extreme weather conditions when the control protection mechanisms fail. This paper proposes a reinforcing cable component (RCC) to enhance the resistance ability of offshore wind turbine blades. Simulation and test results demonstrate that the RCC effectively reduces strain and tip displacement of the blades, thus improving their survival ability when the control protection system fails.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Ying Li, Yu Zhang, Wenhua Wang, Xin Li, Bin Wang
Summary: Structural corrosion poses a potential hazard to the safety of offshore structures. This study conducted a fatigue analysis of typical tubular joints in an offshore wind turbine substructure, taking into account the influence of corrosion factors. The results showed a significant decrease in tubular joint fatigue capacities under operation and wave loads due to an increase in structural corrosion during the operation period.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Civil
H. P. Hong, C. Sheng
Summary: This study investigates the issue of wind turbines near the coastline of mainland China facing tropical cyclone hazards. By calibrating geographically varying tropical cyclone wind and wave loads, it can provide assistance for the structural design of these wind turbines.
ENGINEERING STRUCTURES
(2022)
Article
Environmental Sciences
Navid Majdi Nasab, Jeff Kilby, Leila Bakhtiaryfard
Summary: This paper determines the optimal dimensions of monopiles to support the integrated assembly through finite element analysis and macro-element model, providing technical support for the integration of offshore wind and tidal energy.
Article
Green & Sustainable Science & Technology
Junwon Seo, Jharna Pokhrel, Jong Wan Hu
Summary: This paper presents a surrogate modeling-based fragility estimate of monopile offshore wind turbine towers under wind and wave loadings. The study developed two surrogate models to predict the tower responses caused by wind and wave loads, and compared them with the results from simulations. The findings highlight the importance of wind speed and wave height as critical load parameters, and the significant impact of structural characteristics on the overall vulnerability of the towers.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Marine
Feiyu Lu, Kai Long, Chengwan Zhang, Jinhua Zhang, Tao Tao
Summary: This paper proposes a design methodology using topology optimization technique for lightweight design of a tripod structure in offshore wind turbines. The optimized structure significantly reduces the total mass while improving fatigue resistance.
Article
Energy & Fuels
Ti Zilong, Deng Xiao Wei
Summary: This study introduces a novel coupling approach considering the impact of inhomogeneous wave loads on monopile-supported wind turbines in wind farm layout optimization.
By optimizing the layout, the total wave load of the wind farm can be minimized while maintaining a favorable annual energy production.
Experimental results show that the coupling optimization has significant benefits in reducing wave loads by 20.1%-40.5% while still preserving a favorable amount of AEP.
Article
Energy & Fuels
Ondrej Fercak, Juliaan Bossuyt, Naseem Ali, Raul Bayoan Cal
Summary: The interest and benefits of offshore wind energy have led to challenges in understanding the dynamics of wind-turbine wakes and their interaction with the atmospheric boundary layer and surface waves. This study uses experimental methods to establish a better understanding of these interactions, providing insights into offshore wind-energy dynamics.
Article
Engineering, Marine
Diogo Mendes, Tiago C. A. Oliveira
Summary: This study examines the variability of deep-water spectral wave steepness (s(m)) offshore mainland Portugal in the North Atlantic Ocean based on field measurements recorded between 2009 and 2020 at three different locations. The results show similar s(m) variability at different water depths with values between 0.004 and 0.072, and a decrease in s(m) values during September and October.
Article
Engineering, Civil
Yusha Shi, Wenjuan Yao, Mingjing Jiang
Summary: This paper establishes a three-stage monopile offshore wind turbine model to predict the dynamic response of the structure and discusses the influence of different parameters.
Article
Engineering, Marine
Sungjun Park, Joonmo Choung
Summary: To design a floating offshore wind turbine, fully coupled integrated load analyses (ILAs) are required to evaluate the load response and structural integrity. This study aims to investigate the feasibility of using the direct strength analysis (DSA) technique, commonly used for ships and offshore structures, to properly evaluate the substructure of a floating offshore wind turbine (FOWT).
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Azfar Khalid, Zeashan Hameed Khan, Muhammad Idrees, Pierre Kirisci, Zied Ghrairi, Klaus-Dieter Thoben, Juergen Pannek
Summary: The development of future manufacturing systems focuses on flexibility, mass customization, intelligence, and context-based learning to produce smart products. These production systems are characterized by networked, cooperating objects known as cyber physical systems (CPSs). Human-robot collaboration is anticipated to be an integrated part of the future factory floor and the cyber physical production systems (CPPS).
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2022)
Article
Green & Sustainable Science & Technology
Andreas F. Haselsteiner, Malte Frieling, Ed Mackay, Aljoscha Sander, Klaus-Dieter Thoben
Summary: The study found that the environmental contour method currently recommended in the IEC design standard for offshore wind turbines can significantly underestimate the 50-year return value of response variables, mainly due to the method used to construct the contour, neglecting serial correlation in environmental conditions, and neglecting the short-term variability in the response.
Article
Green & Sustainable Science & Technology
Fahad R. Albogamy, Sajjad Ali Khan, Ghulam Hafeez, Sadia Murawwat, Sheraz Khan, Syed Irtaza Haider, Abdul Basit, Klaus-Dieter Thoben
Summary: This paper introduces a hybrid algorithm called EDGE based on Enhanced Differential Evolution (EDE) and Genetic Algorithm (GA) to solve energy management problems. By scheduling different types of household load, the EDGE algorithm can generate an optimal schedule to reduce energy expense, carbon emission, Peak to Average Ratio (PAR), and user discomfort.
Article
Computer Science, Information Systems
Quan Deng, Klaus-Dieter Thoben
Summary: Product design is crucial for product success. This study focuses on applying product usage information (PUI) during product development to improve design quality. One of the key issues is identifying and integrating task-relevant PUI fit for different purposes. This study addresses this research gap and proposes a systematic procedure to meet developers' information needs.
Article
Chemistry, Multidisciplinary
Konstantin Klein, Klaus-Dieter Thoben
Summary: Companies with products having a lifespan of more than 25 years have long struggled with obsolescence, especially for software and hardware components in supporting systems like avionics test benches. This research demonstrates the possibility of using Industry 4.0 standards and technology to achieve transferability and maintainability in test bench operations. The implementation of the industrial ethernet standard EtherCAT for aviation test benches is demonstrated through a proof of concept.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Marco Franke, Klaus-Dieter Thoben
Summary: The proposed method achieves interoperability between different test script languages, enabling seamless integration of test cases within the supply chain. The method is based on transcompilers and introduces an interoperability model for test cases. The result is a prototype system that handles different type safety and programming paradigms of test script languages.
Article
Green & Sustainable Science & Technology
Henry Ekwaro-Osire, Dennis Bode, Klaus-Dieter Thoben, Jan-Hendrik Ohlendorf
Summary: Machine learning can be a valuable tool in improving energy and resource efficiency in manufacturing systems. However, the excessive hype around machine learning in the context of Industry 4.0 has led to its blind usage without considering alternative analysis approaches. This research presents a novel matrix approach to systematically identify situations where machine learning is well suited for enhancing energy and resource efficiency in manufacturing. By evaluating 17 generic levers and 6 manufacturing data scenarios, this approach provides a quantitative machine learning suitability score for each lever, allowing for informed decision-making in data-driven manufacturing energy and resource efficiency projects.
Article
Computer Science, Software Engineering
Andreas F. Haselsteiner, Kai-Lukas Windmeier, Lena Stroer, Klaus-Dieter Thoben
Article
Computer Science, Information Systems
Marco Franke, Klaus-Dieter Thoben, Beate Ehrhardt
Summary: This paper highlights the significance of heterogeneous test processes in mechatronic systems development and the need for advanced knowledge management. It proposes the use of a knowledge graph to aggregate test knowledge and demonstrates its impact on test case creation using aircraft cabin doors as an example.
Article
Green & Sustainable Science & Technology
Raul Castillo-Villagra, Gabriel Icarte, Klaus-Dieter Thoben
Summary: This paper addresses the lack of standardized modeling frameworks for the upstream segment of the minerals supply chain (MiSC) and presents the MiSCOR model. The model, built based on design science research methodology, demonstrates its applicability and robustness in real operational scenarios of a copper producer, providing a valuable management tool for practitioners and decision-makers.
Proceedings Paper
Computer Science, Artificial Intelligence
Thimo Florian Schindler, Dennis Bode, Klaus-Dieter Thoben
Summary: This paper provides a comprehensive overview of the challenges faced when integrating machine learning-based methods into a production environment, as well as potential innovative technologies and methods to mitigate those challenges.
ADVANCES IN SYSTEM-INTEGRATED INTELLIGENCE, SYSINT 2022
(2023)
Proceedings Paper
Management
Raul Castillo-Villagra, Klaus-Dieter Thoben
Summary: This paper contributes to the conceptualization of supply chain resilience in the mining industry by defining and operationalizing main resilience principles and elements, with the aim of enhancing understanding of supply chain resilience in the mining industry.
DYNAMICS IN LOGISTICS (LDIC 2022)
(2022)
Proceedings Paper
Green & Sustainable Science & Technology
M. T. Alvela Nieto, K-D Thoben
Summary: This paper proposes a methodology for estimating the energy consumption of agri-food processing and provides an accurate assessment through the collection of real data.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Kay Burow, Patrick Klein, Klaus-Dieter Thoben
Summary: This paper discusses the application of Industry 4.0 in the manufacturing industry and presents a pilot case of large-scale component manufacturing to demonstrate the method and implementation of digital mapping. By collecting and allocating input data and checking the fabrication status, the goal of achieving a digital thread is realized, leading to improved efficiency in quality checking.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT I
(2022)
Article
Computer Science, Information Systems
Jan-Frederik Uhlenkamp, Jannicke Baalsrud Hauge, Eike Broda, Michael Luetjen, Michael Freitag, Klaus-Dieter Thoben
Summary: This paper introduces the definition and characteristics of digital twins, evaluates them through the development of a maturity model, and presents a generalized model. This is of great significance for the unified description and improvement of digital twins.
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.