Article
Thermodynamics
Dezhi Li, Shuo Li, Shubo Zhang, Jianrui Sun, Licheng Wang, Kai Wang
Summary: With the advancement of renewable energy industries, the demand for energy storage systems, particularly supercapacitors, has increased significantly. In this study, a forecasting model based on extreme learning machine (ELM) and heuristic Kalman filter (HKF) algorithm was proposed to predict the capacity of supercapacitors. The results showed that the proposed HKF-ELM model outperformed other data-driven models commonly used in supercapacitor life forecasting.
Article
Green & Sustainable Science & Technology
Jalil Nursyairah, Harrison Lik Nang Lau, Rifqi Irzuan Abdul Jalal, Soh Kheang Loh
Summary: This article investigated the cold start performance of a common rail direct injection turbocharged diesel engine using different blends of palm biodiesel fuel. The results showed that all the blends failed to start at 5℃, while B20 could withstand temperatures up to 15℃ without start-up issues. Engine workability was not significantly affected, although there was an increase in engine starting time and reduction in speed stability when using higher blends of biodiesel. Emissions of CO2 and NOx were reduced during cold start-up using B10 and B20. The study suggests including cold filter plugging point in existing diesel standards when deploying high biodiesel blends at highlands commercially.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2022)
Article
Energy & Fuels
Mahmut Beyaz, Selman Aydin, Ramazan Sener
Summary: This study aims to improve the suitability of biodiesel blends for cold region applications by enhancing combustion efficiency and emissions characteristics. The addition of ethyl proxitol as an additive to the blends resulted in significant improvements in combustion efficiency and cold flow plugging point values. The findings of this study contribute to addressing cold weather challenges in biodiesel applications and highlight the potential of biodiesel with ethyl proxitol as a promising alternative fuel.
PETROLEUM SCIENCE AND TECHNOLOGY
(2023)
Article
Agronomy
Junliang Fan, Jing Zheng, Lifeng Wu, Fucang Zhang
Summary: Accurate estimation of plant transpiration (T) is crucial for agricultural production, and this study investigated the use of machine learning models to estimate daily T of summer maize. Incorporating soil water content and leaf area index variables improved model performance, with the deep neural network (DNN) model slightly outperforming others.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Orthopedics
Zhan Sizheng, Huang Boxuan, Xue Feng, Zhang Dianying
Summary: This study aimed to construct a nonlinear regression model using Extreme Gradient Boost (XGBoost) to predict functional outcome 1 year after surgical decompression for acute spinal cord injury (SCI) patients. The study found that the nonlinear model performed better than the traditional linear model in predicting the functional outcome, with age and baseline motor score playing important roles in the prediction.
JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Hieu Nguyen, Ngoc-Mai Nguyen, Minh-Tu Cao, Nhat-Duc Hoang, Xuan-Linh Tran
Summary: This study introduces a hybrid data-driven approach utilizing machine learning and swarm intelligence to predict the long-term deflection of reinforced-concrete members. Experimental results demonstrate that this hybrid framework performs well in predictive accuracy, outperforming other popular techniques in various benchmarks.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Artificial Intelligence
Ananda Rabi Dhar, Dhrubajyoti Gupta, Shibendu Shekhar Roy, Aditya Kumar Lohar, Nilrudra Mandal
Summary: The process of direct metal deposition for cladding is popular in the industry. Online condition monitoring is necessary for this process. In this study, a novel predictive model is proposed for establishing relationships between input and output parameters. The model is improved using a modified grey wolf optimization algorithm. The new optimizer is tested and compared with other algorithms, and its performance is validated in real engineering case studies.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Xiang LI, Ying-Juan Zhang, Hui Gao, Ting Ding
Summary: In early November 2021, China experienced its second strongest cold wave event. The study found that the subtropical low-pressure system played an important role in enhancing the cold wave effect.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2022)
Article
Energy & Fuels
Min-Hao Yuan, Yi-Hung Chen, Siou-Chih Peng, Lu-Yen Chen, Ching-Yuan Chang, Malee Santikunaporn, Channarong Assavatesanuphap, Yi-Fa Lee
Summary: This study investigated the cold filter plugging point (CFPP) of six palm biodiesels in combination with two Taiwanese major petrodiesels. The results showed that low blending ratios of palm biodiesel can effectively reduce CFPP and meet diesel standards.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Mathematics
Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Mohemmed Sha, Abdu Gumaei, Yu-Dong Zhang
Summary: Globally, the incidence of kidney stones has increased, making early detection crucial for improving individuals' lives. Machine Learning has gained attention for its ability to continuously enhance and deal with multi-dimensional data. This study proposes a smart toilet model in an IoT-fog environment to detect kidney stones using suitable ML algorithms from real-time urinary data.
Article
Geosciences, Multidisciplinary
Xiaodan Chen, Dehai Luo
Summary: The study found that the condition of Arctic sea ice in western Greenland significantly influences the occurrence and persistence of winter Greenland blockings. Low sea ice and high surface temperature favor long-lasting, frequent blockings that cause cold surges in the mid-eastern United States, while high sea ice and low surface temperature lead to short-lived, less frequent blockings affecting North Europe. These results were supported by a series of atmospheric circulation experiments based on reanalysis data.
SCIENCE CHINA-EARTH SCIENCES
(2021)
Article
Computer Science, Information Systems
Li Cao, Yinggao Yue, Yong Zhang, Yong Cai
Summary: The study introduces an improved crow search algorithm to optimize the extreme learning machine, enhancing global search capability and gradually reducing search trajectory amplitude to avoid being attracted by local extremum, ultimately optimizing hidden layer neurons and connection weights for accurate prediction results.
Article
Computer Science, Information Systems
Linlan Liu, Hui Lv, Jiangbo Xu, Jian Shu
Summary: The study presents a link quality estimation model based on improved weighted extreme learning machine for link quality estimation in wireless sensor networks. Experimental results demonstrate that this model is more effective in different scenarios compared to conventional models.
Editorial Material
Meteorology & Atmospheric Sciences
Yao Yao, Wenqin Zhuo, Zhaohui Gong, Binhe Luo, Dehai Luo, Fei Zheng, Linhao Zhong, Fei Huang, Shuangmei Ma, Congwen Zhu, Tianjun Zhou
Summary: From 17 November to 27 December 2022, frequent extremely cold snowstorms occurred in North America and Eurasia. These events were closely related to the establishment of blocking circulations. The Alaska Blocking (AB) and subsequent Ural Blocking (UB) episodes were associated with the phase transition of the North Atlantic Oscillation (NAO) and represented the main atmospheric regimes in the Northern Hemisphere. The dispersion and propagation of Rossby wave packets from Alaska to East Asia created a large-scale connection between AB and UB episodes.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Aleksandar Petrovic, Robertas Damasevicius, Luka Jovanovic, Ana Toskovic, Vladimir Simic, Nebojsa Bacanin, Miodrag Zivkovic, Petar Spalevic
Summary: This research explored the potential of using artificial intelligence techniques to classify maritime vessels and predict their trajectories based on data-driven approaches. A particle swarm optimization algorithm was introduced to optimize the hyperparameters of the models used in this study. The introduced Boosted PSO showed better performance compared to contemporary optimizers, with the XGBoost model achieving an overall accuracy of 99.72% for vessel classification and the LSTM model achieving a mean square error of 0.000098 for marine trajectory prediction. Statistical analysis and explainable AI principles were applied to validate outcomes and understand the impact of features on model decisions.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Beyza Yilmaz, Cagla Odabasi, Ramazan Yildirim
Summary: This study analyzed a dataset of 599 data points from 146 publications on 2D/3D perovskite solar cells using machine learning. Predictive models were developed to predict power conversion efficiency (PCE) and bandgap. The study identified important descriptors for bandgap and PCE predictions, as well as factors influencing stability. The models for bandgap and PCE predictions were successful. The study concluded that the thickness of the inorganic layer, anion radius, and 2D cation were important descriptors for bandgap predictions, while the bandgap, thickness of the inorganic layer, and conduction band energy were influential descriptors for PCE in regular cells. In addition, the study found that layered perovskite structures contributed to stability, and butylammonium and formamidinium-Cs mixed cations led to the most stable cells.
Article
Energy & Fuels
A. G. M. B. Mustayen, X. Wang, M. G. Rasul, J. M. Hamilton, M. Negnevitsky
Summary: This study investigated the ignition delay of a diesel engine under different load operations and engine speeds, and found that ignition delay increased with decreasing engine load and decreased with increasing engine speed.
Article
Energy & Fuels
G. M. Hasan Shahariar, Timothy A. Bodisco, Ali Zare, Mojibul Sajjad, M. I. Jahirul, Thuy Chu Van, Harry Bartlett, Zoran Ristovski, Richard J. Brown
Summary: This study investigates the impact of driving style and traffic conditions on emissions and fuel consumption. The results show that driving style has a significant influence on emissions, with aggressive driving leading to higher emissions. Biodiesel has a promising effect in reducing particulate matter emissions. Traffic conditions have a dominant impact on fuel consumption.
Article
Thermodynamics
M. M. Hasan, M. G. Rasul, M. I. Jahirul, M. M. K. Khan
Summary: The objective of this study was to evaluate the suitability of pyrolysis oils produced from organic and plastic wastes for engine application. The study conducted experiments using different waste materials and temperatures, and characterized the properties of the obtained pyrolysis oils using various analysis techniques. The results showed that the oils derived from organic wastes had limitations such as higher viscosity and density, while the oil obtained from HDPE met most criteria to be an engine fuel, although further testing in an engine is needed for confirmation.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
M. M. Hasan, M. G. Rasul, M. I. Jahirul, M. M. K. Khan
Summary: The aim of this study is to optimize the fast pyrolysis process using macadamia nutshell as feedstock to produce maximum yield of pyrolysis oil. A response surface methodology coupled with Box-Behnken design was used to optimize the process, taking temperature, residence time, and feedstock particle size as independent variables. The maximum bio-oil yield of 43.37 wt% was achieved at a temperature of 471.21 degrees C, residence time of 141.82 sec, and feedstock particle size of 3.78 mm. The analysis of the obtained bio-oil showed the presence of 11 functional groups, with phenol, aromatics, and alcohol groups dominating. The physicochemical properties analysis revealed that the bio-oil had higher viscosity and water content, making it unsuitable for engine application but suitable for other fuel applications.
Article
Energy & Fuels
Zahidul Islam Rony, M. Mofijur, M. M. Hasan, S. F. Ahmed, Fares Almomani, M. G. Rasul, M. I. Jahirul, Pau Loke Show, M. A. Kalam, T. M. I. Mahlia
Summary: Concerns have been raised about the impacts of fossil fuel combustion on global warming and climate change. Microalgae fuel, as a potential source of energy diversification, is gaining popularity in the aviation industry. It can grow in saltwater or wastewater, capture CO2, and produce lipids without threatening food availability. Microalgae-derived fuels have a low carbon footprint and the potential to mitigate the impact of traditional aviation fuels on climate change and global warming. However, there are challenges such as high production costs and limited research in this field.
Article
Chemistry, Physical
Beyza Yilmaz, Burcu Oral, Ramazan Yildirim
Summary: This study analyzed a detailed dataset of 4051 data points from 527 experiments in 100 published articles on catalytic CO2 methanation using machine learning. Descriptive statistics and a random forest (RF) model were used to predict CO2 conversion based on 23 descriptors. Boruta analysis was performed to identify significant variables. The RF model successfully predicted CO2 conversion with a RMSE of 6.4 for training and 12.7 for testing, and R2 values of 0.97 and 0.85 respectively. The model's accuracy was confirmed by comparing CO2 conversion profiles with reported results in the related papers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Review
Environmental Sciences
F. Faisal, M. G. Rasul, M. Jahirul, D. Schaller
Summary: In recent years, the focus has shifted towards converting waste plastics into energy products due to the high cost and labor-intensive nature of plastic recycling. Pyrolysis of waste plastic generates valuable liquid oil as well as gas, char, and wax. Homogenous catalysts, such as AlCl3, can improve the quality of waste plastic pyrolytic oil (WPPO) and reduce time and energy consumption. The physico-chemical properties of WPPO, such as thermal stability and elemental composition, vary depending on factors like plastic type, pyrolysis reactor, temperature, and catalysts used.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
M. G. Rasul, S. Ahmed, M. A. Sattar, M. I. Jahirul
Summary: In this study, a computational model is developed to examine the effect of top and bottom baffles on the mass transfer and hydrodynamic performance of a photocatalytic reactor. The experimental results show that baffles significantly improve the turbulence and hydrodynamic performance of the reactor, thus enhancing its efficiency.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Zahidul Islam Rony, M. Mofijur, M. M. Hasan, M. G. Rasul, M. I. Jahirul, Shams Forruque Ahmed, M. A. Kalam, C. F. Irfan Anjum Badruddin, T. M. Yunus Khan, Pau-Loke Show
Summary: The International Maritime Organization (IMO) has implemented stricter controls on global maritime transport operations in order to protect the environment. This study examines and assesses potential paths and technologies for decarbonizing the shipping industry. The use of alternative energy sources, such as biofuels, can significantly reduce greenhouse gas emissions from marine transportation, but there are challenges that need to be addressed before they can be fully utilized.
Article
Chemistry, Multidisciplinary
R. M. Mostafizur, M. G. Rasul, M. N. Nabi, R. Haque, M. I. Jahirul
Summary: The performance of hybrid nanofluids in a flat plate solar collector was analyzed in this study based on various parameters. Five different base fluids were used to create five types of hybrid nanofluids containing CuO and MWCNT nanoparticles. The results showed that the CuO-MWCNT/water nanofluid performed the best in reducing entropy generation and had higher exergy efficiency and thermal performance.
Article
Energy & Fuels
F. Faisal, M. G. Rasul, Ashfaque Ahmed Chowdhury, D. Schaller, M. I. Jahirul
Summary: This study found that the crude plastic pyrolytic oil produced from thermal pyrolysis of mixed waste plastics and mixed virgin plastics was not suitable for direct use as automobile fuel. However, after further refining through vacuum distillation and hydrotreatment, the distilled plastic diesel and hydrotreated plastic diesel were found to be well suited as drop-in diesel fuels.
Article
Multidisciplinary Sciences
M. G. Rasul, S. Ahmed, M. A. Sattar, M. I. Jahirul
Summary: Wastewater purification is crucial for human beings, flora and fauna, and sustainable environment. This study developed a computational fluid dynamics (CFD) model to investigate the effect of baffles and rough surfaces on the performance of a photocatalytic reactor. The results showed that the addition of baffles and roughness elements on the reactive surfaces significantly enhanced the reactor's performance, increasing turbulent kinetic energy and mass transfer of pollutants.
Review
Chemistry, Multidisciplinary
Ahmet Cosgun, M. Erdem Gunay, Ramazan Yildirim
Summary: This work reviews the applications of machine learning (ML) in microalgal biofuel production. It summarizes the basic steps of algal biofuel production, demonstrates the major research trends in the field through a bibliometric analysis, and identifies the major challenges in commercializing the technology. It systematically reviews and analyzes ML applications for various steps in the value chain. The analysis suggests that ML applications should focus on strain selection and optimization of cultivation conditions, and collaboration is needed to build a comprehensive microalgal strain database and standardized testing methodologies.
Article
Energy & Fuels
M. M. Hasan, M. G. Rasul, M. I. Jahirul, M. Mofijur
Summary: This study investigates the effects of different operating conditions on the fast pyrolysis process using municipal green waste. The results show that the yields of bio-oil and syngas can be optimized by adjusting the temperature, holding time, and feedstock particle size.
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.
