Article
Environmental Sciences
Bulent Yaniktepe, Osman Kara, Ilyas Aladag, Cenk Ozturk
Summary: This study analyzes the wind measurement data in Osmaniye, Turkey to determine the wind characteristics and wind energy potential of the region. The suitability of the two-parameter Weibull distribution model is evaluated, and it was found that the modified maximum likelihood method is the most reliable. The graphical method performs the worst in comparison.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Waleed S. A. Hasan, Ali Saif M. Hassan, Mohamed A. Shukri
Summary: This study comparatively analyzes five numerical methods for computing Weibull parameters and finds that the EPFM method is the most accurate for estimating the parameters. The study also reveals that the parameter k remains constant with height, while the parameter c increases with height. The skewness and kurtosis values of wind speed and power density do not change with height.
Article
Energy & Fuels
Sangkyun Kang, Ali Khanjari, Sungho You, Jang-Ho Lee
Summary: This study analyzed 10 years of wind speed data in Maldo island and Saemangeum seawall in Korea, comparing 12 Weibull parameter estimation methods to identify the most reliable and efficient ones. Results showed varying accuracies among different methods in predicting wind speed distributions, with some methods performing better than others.
Article
Energy & Fuels
Wenxin Wang, Kexin Chen, Yang Bai, Yu Chen, Jianwen Wang
Summary: This study accurately describes the characteristics of wind energy resources in suburbs using a new method of WPD estimation and the three-parameter Weibull distribution. Taking the month as the time scale can effectively capture the scattered and changing wind energy in suburbs.
Article
Chemistry, Multidisciplinary
Ivana Pobocikova, Maria Michalkova, Zuzana Sedliackova, Daniela Jurasova
Summary: This paper statistically analysed wind speed data and found that strong wind speeds have significant effects on weather conditions, providing important insights into determining wind profiles at specific locations. In addition to the commonly used Weibull distribution, the exponentiated Weibull (EW) distribution was found to be more suitable for modelling wind speed data, especially during peak periods. The EW distribution is recommended for modelling datasets with extremely strong winds or outliers in the right tail.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Chemical
Vi T. Nguyen, Dimitrios Papavassiliou
Summary: The study used a computational approach to investigate the statistical distribution of velocity magnitude in various porous media, finding that velocity distributions in all examined porous media followed a Weibull distribution. Velocity distributions in randomly packed spheres and scaffolds were represented by a single Weibull distribution, while those in ordered sphere packings followed Weibull distributions with different characteristic values. The pore size distribution for each type of porous medium configuration appeared to be important for the form of the velocity distribution.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Samuel Andres Gil Ruiz, Julio Eduardo Canon Barriga, J. Alejandro Martinez
Summary: This study provides a unique characterization of wind resources in the Colombian Caribbean region, identifying multiple locations with commercial wind potential and offering reliable information, with impressive annual energy production and capacity factors.
Article
Computer Science, Information Systems
Muhammad Armoghan Khan, Yao Zhang, Jianxue Wang, Jingdong Wei, Muhammad Ali Raza, Aitizaz Ahmad, Yiping Yuan
Summary: The research aimed to analyze wind characteristics and assess wind power potential in Jhimpir Sindh Pakistan by selecting the best fit probability distribution function. It found that Weibull and Rayleigh distributions closely represented the wind data in the region, with Weibull being the most suitable. Statistical tests were used to evaluate the accuracy of the selected distribution functions and results indicated the potential for wind power production in the studied site.
Article
Green & Sustainable Science & Technology
Sai Krishna V. S. Sakuru, M. V. Ramana
Summary: India's increasing electricity generation capacity must meet the demands of domestic consumption, energy security, and climate change accords. To achieve the goal of 40% non-fossil fuel electricity by 2030, a greater focus on renewables is necessary, particularly wind energy. This study uses reanalysis data to estimate India's wind power potential, finding that both onshore and offshore regions have significant potential, with up to 7.2 TW and 18.4 TW respectively. Sparsely vegetated areas have an additional 53 TW of wind power potential. Future efforts should concentrate on the availability of wind resources near energy-hungry regions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Green & Sustainable Science & Technology
Fabio Sandro dos Santos, Kerolly Kedma Felix do Nascimento, Jader da Silva Jale, SilvioFernando Alves Xavier Junior, Tiago A. E. Ferreira
Summary: With increasing concerns about the greenhouse effect and carbon dioxide levels, it is necessary to curtail the use of fossil fuels. In this study, a Weibull-Weibull distribution mixture was applied to adjust wind speed data from 575 weather stations, and wind energy generation was predicted. The model performed well and provided suitable fits for different regions in Brazil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Multidisciplinary Sciences
R. Alshenawy, Hanan Haj Ahmad, Ali Al-Alwan
Summary: This paper discusses two prediction methods for predicting the non-observed units under progressive Type-II censored samples, and provides inference on the unknown parameters of the Marshall-Olkin model. Through simulation studies and evaluation on real data examples, the best prediction method is found.
Article
Mathematics, Applied
Mohammed Albassam, Muhammad Ahsan-ul-Haq, Muhammad Aslam
Summary: This paper derives the basic properties of the neutrosophic Weibull distribution and studies the effect of indeterminacy on parameter estimation. The application of the neutrosophic Weibull distribution is discussed using two real-life datasets. The analysis shows that the neutrosophic Weibull model is adequate, reasonable, and effective to apply in an uncertain environment.
Article
Environmental Sciences
Harsh Patidar, Vikas Shende, Prashant Baredar, Archana Soni
Summary: This study assesses the wind characteristics and wind potential of offshore locations in Gujarat, India, using the Weibull density function. Multiple numerical approaches were used to estimate the parameters of the Weibull distribution, with the MLM method showing the most accurate evaluation of wind potential. The results provide valuable information for wind energy conversion and determining the actual wind potential of a specific site.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Kubra Bagci, Talha Arslan, H. Eray Celik
Summary: This paper discusses important factors to consider when calculating wind energy potential in a region and reviews different wind speed distributions. Using the IKum distribution as an alternative to the Weibull distribution for modeling wind speed data shows promising results. Monte Carlo simulation study indicates that the IKum distribution can be considered as a viable alternative to the widely accepted Weibull distribution.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Mathematics
Nagla Yahia, Najwan Alsadat
Summary: A four-parameter Type II Topp Leone generalized inverse Weibull (TIITLGINW) model is suggested, with reliability study and mathematical properties research conducted. Maximum likelihood estimate and simulation study are employed to estimate model parameters of TIITLGINW model.
JOURNAL OF MATHEMATICS
(2022)
Article
Meteorology & Atmospheric Sciences
Mustafa Nuri Balov, Abdusselam Altunkaynak
METEOROLOGY AND ATMOSPHERIC PHYSICS
(2020)
Article
Geosciences, Multidisciplinary
Khansaa A. Ahmed, Abdusselam Altunkaynak
ARABIAN JOURNAL OF GEOSCIENCES
(2020)
Article
Environmental Sciences
Mustafa Balov, Abdusselam Altunkaynak
ENVIRONMENTAL EARTH SCIENCES
(2020)
Article
Green & Sustainable Science & Technology
Anil Celik, Abdusselam Altunkaynak
Article
Agricultural Engineering
Hussein Bizimana, Abdusselam Altunkaynak
Summary: This study investigates the influence of a circular cross-sectional shape on the incipience of sediment entrainment, finding that it reduces the critical shear stress. Experimental data is used to propose a new critical shear stress formula for circular channels under smooth flow conditions. The study also evaluates the performance of a new prediction system (GENOFIS) for incipient motion, showing more accurate results than traditional approaches like ANFIS.
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2021)
Article
Engineering, Marine
Abdusselam Altunkaynak, Elif Kartal
Summary: Accurate prediction of sea level fluctuations is crucial for coastal engineering, and machine learning models show potential in sea level time series information under different conditions. The developed models perform better in transferring information between spatially close stations, with SVM and KNN models providing relatively close results while DT model results lag behind significantly.
Article
Thermodynamics
Abdusselam Altunkaynak, Anil Celik
Summary: Efficiency estimation of an oscillating water column (OWC) for wave energy conversion is of paramount importance, and this study fills the gap by constructing predictive analytical models and optimizing them through extensive experimental data. The novel Geno-Nonlinear model shows the most accurate estimation results.
Article
Water Resources
Benali Benzater, Abdelkader Elouissi, Ismail Dabanli, Samra Harkat, Abderrahmane Hamimed
Summary: The study found an increase in extreme rains in the Macta watershed during the period 1990-2010, with middle rainfall categories B, C-1, C-2, and D-1 showing increasing trends, and rainfall events moving towards higher categories.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Engineering, Civil
Abdusselam Altunkaynak, Akbar Jalilzadnezamabad
Summary: The study combines DWT with Fuzzy, kNN, and SVM models to develop a new forecasting model for PDSI, achieving good accuracy especially within a 6-month lead time. The performance of the hybrid models is superior to standalone Fuzzy, kNN, and SVM models, with the W-Fuzzy model slightly outperforming W-kNN and W-SVM models in terms of performance indicators.
JOURNAL OF HYDROLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Abdusselam Altunkaynak, Kubra Kullahci
Summary: This study investigates the interrelationships and dependencies among data from eighteen precipitation observation stations in the Upper Euphrates Basin of Turkey using a correlation matrix approach. Results show that correlation matrix-based Fuzzy, KNN, and MR models have high prediction performance, with the Fuzzy model providing the most accurate results.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Abdusselam Altunkaynak, Anil Celik
Summary: In this study, a novel Geno-fuzzy based model (GENOFIS) was developed for accurate efficiency estimation of an oscillating water column (OWC). The model showed superior performance after improving the Adaptive Neuro-Fuzzy inference system (ANFIS) and incorporating the Genetic algorithms (GAs).
Article
Thermodynamics
Murat Baris Mandev, Abduesselam Altunkaynak
Summary: A novel streamlined chamber design is proposed to improve the performance of an oscillating water column (OWC) with a sloping wall. The study finds that the streamlined chamber design has a significant impact on the OWC efficiency and can further enhance performance.
Article
Construction & Building Technology
Oemer Ekmekciog, Kerim Koc, Ismail Dabanli, Ali Deniz
Summary: This study assessed a list of mitigation strategies to address urban water scarcity, using fuzzy set theory and analytical hierarchy process (AHP) combined with technique for order of preference by similarity to ideal solution (TOPSIS) to determine weights and ranking. The findings showed that organized land use planning and limiting new growth in urban areas were the most promising strategies. Additionally, conducting integrated water resource planning and promoting the use of sustainable materials domestically can enhance urban resilience and sustainability.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Thermodynamics
Anil Celik, Abdusselam Altunkaynak
Summary: Efficiency of an OWC is influenced by water column heave motion and air pressure differential. Transmitted wave height and pressure decay exponentially with dimensionless wave frequency. Effects of orifice ratio on transmitted wave height and pressure depend on the value of Kh. Negative pressure peaks are larger than positive pressure peaks.
Article
Engineering, Geological
Hussein Bizimana, Abdusselam Altunkaynak
Summary: This study evaluates the impact of different bed roughness on the comprehension of bedforms in rectangular and circular cross-sectional rigid boundary channels, as well as the resistance against flow and critical conditions of sediment motion. The novel hybrid GENOFIS approach outperformed ANFIS and linear regression models, providing a new data-driven solution for complex incipient motion problems.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2021)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
