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Study on the effect of temperature on pressure drop and under-rib convection in PEMFC Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-15 Yongshuai Yu, Yongfeng Liu, Lu Zhang, Pucheng Pei, Hua Sun
Pressure drop effectively reflects the state of water in PEMFC channels and gas diffusion layers. In order to study the regularities in pressure drop and the characteristics of the under-rib convec...
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Structured mesh material with gradient surface wettability for high-power-density proton exchange membrane fuel cells Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-12 Guobin Zhang, Zhiguo Qu, Ning Wang, Xueliang Wang, Yuhao Wu, Yun Wang
A compact cell structure is highly desirable for next-generation high-power-density proton exchange membrane (PEM) fuel cell (>9.0 kW L−1). A novel integrated bipolar plate (BP) – gas diffusion lay...
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An overview of photocatalytic degradation of agricultural pollutants in water Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-10 Malini B, Gandhimathi R
The agricultural growth of the nation resulted in the elevated amount of agricultural toxic contaminants in water. It is a promising technique for the degradation of agricultural pollutants. Photoc...
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Numerical investigation in effects of refrigerants’ thermodynamic properties on performance of supersonic ejector Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-10 Youcai Liang, Junhao Ye, Hongyang Li, Jianming Wang, Zhengyong Li, Jidong Lu
Using zeotropic mixtures with unique temperature glide characteristics as the working medium in heat-driven ejector refrigeration system will potentially reduce the irreversible losses in heat exch...
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Effect of elastic deformation on the heat transfer characteristic of refrigerator gasket based on static analysis of structural assemblies Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-08 Guoqiang Liu, Peiwen Dong, Tong Xiong, Gang Yan
Soft and hard contact deformation is most common issue of the refrigerator gasket and it has almost been ignored in previous studies. In this paper, the novelty is to propose a thermal-solid coupli...
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Leakage mechanism model of proton exchange membrane fuel cell sealing structures under vibration conditions Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-08 Shuo Guo, Youqun Zhao, Xuanying Wang, Fen Lin, Zhou Xu
To resolve the issue of predicting the leak rate in proton exchange membrane fuel cells (PEMFCs) under long-term random vibration conditions. Considering the mechanism of bolt vibration loosening a...
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Prediction of photovoltaic power using the Johansen VECM cointegration method in the Reduit region, Mauritius Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-08 Muhammad Zahiir Feizal Coya, Abdel Khoodaruth, Vishwamitra Oree, Anshu Murdan, Harry Ramenah, Miloud Bessafi, Michel Benne, Beatrice Morel, Damodar Doseeah
Accurate forecasting of the photovoltaic (PV) power output is crucial for the stability of power systems. In this paper, the Johansen vector error correction model (VECM) cointegration approach is ...
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State-of-health estimation of lithium-ion battery based on convolutional-gated recurrent neural network with self-attention mechanism Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-03 Zewang Chen, Zhaofan Xu, Hanrui Wang, Na Shi, Lin Yang
The state of health (SOH) of lithium-ion batteries is a critical parameter of the battery management system. An accurate estimation of it can improve the battery’s overall life. The data-driven met...
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Review of ionomers in catalyst layers of proton exchange membrane (PEM) modules: key parameters, characterization and manipulation methods Int. J. Green Energy (IF 3.3) Pub Date : 2024-04-01 Ying Lu, Shi-Ang Li, Ronghui Qi
Ion-conducting polymers (Ionomers) are critical in catalyst layers (CLs) of proton exchange membrane (PEM) fuel cells and water/vapor-fed electrolyzers, serving essential roles in proton conduction...
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Short-term wind power output prediction using hybrid-enhanced seagull optimization algorithm and support vector machine: A high-precision method Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-27 Yuwei Liu, Lingling Li, Jiaqi Liu
Affected by the uncertainty of external environmental factors, wind power generation has significant characteristics of randomness and non-stationarity. Accurately predicting wind power is a necess...
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Comparative performance analysis of different hydrogen power composite cycles with waste heat recovery Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-24 Gequn Shu, Yifan Xia, Hua Tian, Xuanang Zhang, Xuan Wang
Hydrogen energy has been under close scrutiny by countries around the world. At present, the main technologies for utilizing hydrogen energy in transport power systems are hydrogen internal combust...
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Investigation of the part load behavior for the R-Graz cycle with pure oxygen and hydrogen fuel Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-24 Shida Yu, Xiaodong Ren, Xue-Song Li, Xiangyu Li, Chunwei Gu
In order to address the future demands for large-scale and efficient hydrogen storage and utilization, while considering the need of power dispatch and peak shaving, in this article, based on the c...
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Using perovskite solar cells with tunable bandgaps for beam-splitting photovoltaic-thermal System Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-21 Yu Gao, Lei Tang, Hui Zhou, Yanguo Zhang, Zhongchao Tan, Qinghai Li
The beam-splitting PV-T system has great potential for solar energy production. However, few studies have been conducted on hybrid systems featuring the newly emerging perovskite solar cells. This ...
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Fault diagnosis of lithium-ion batteries based on wavelet packet decomposition and Manhattan average distance Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-21 Li Liao, Da Yang, Xunbo Li, Jiuchun Jiang, Tiezhou Wu
As lithium-ion batteries are widely used in electric vehicles, safety accidents caused by battery failures emerge one after another. Nevertheless, failures caused by changes in the internal structu...
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Application of template method in fabricating ordered gas diffusion layer of PEMFC Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-21 Wang Zhe, Kang Wang, Kui Jiao, Qing Du, Zhijun Peng, Fuqiang Bai, Zhi Liu
As a core component of proton exchange membrane fuel cell (PEMFC), gas diffusion layer (GDL) takes an important role in the migration of gas, liquid, heat, and electrons. Optimizing GDL microstruct...
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A hybrid neural network based solar PV power classification with time series data for bend, Oregon Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-17 Sasmita Choudhury, Pradipta Kishore Dash
Photovoltaic (PV) power classification model has become a significant alternative to PV power point forecasting model in which classes of future PV powers are estimated. In this work, a novel PV po...
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Bilevel planning of electric vehicle charging station and battery swapping station considering real-time uncertainty Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-17 Manoj Saha, Sidhartha Sankar Thakur, Aniruddha Bhattacharya
The placement of electric vehicle charging stations (EVCS) and battery swapping stations (BSS) is crucial to meet demand while minimizing their impact on the power system network. This article addr...
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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-14 Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, Huu Son Le, Dao Nam Cao, Marek Dzida, Sameh M. Osman, Huu Cuong Le, Viet Dung Tran
Examining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent a...
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A novel Bagged-CNN architecture for short-term wind power forecasting Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-14 Sachin Mulewa, Azan Parmar, Ashoke De
Wind power forecasting plays a pivotal role in ensuring the dependable integration of wind energy into power grids. This research introduces a novel Bagged-CNN architecture tailored for short-term ...
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Wind farm optimization by active yaw control strategy using machine learning approach Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-10 Tarique Anwar Qureshi, Vilas Warudkar
Recent advancements in wind farm (WF) construction have prompted designers to focus on optimizing WF performance and minimizing the negative effect of wake interference on power output. One proven ...
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An energy management strategy for fuel cell hybrid electric vehicle based on a real-time model predictive control and pontryagin’s maximum principle Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-10 Haiyu Gao, Bifeng Yin, Yixiao Pei, Hao Gu, Sheng Xu, Fei Dong
In order to maintain the battery SOC, the fuel cell power will fluctuate dramatically, as well as frequent start-stop, which will greatly increase the life attenuation of the fuel cell and reduce t...
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Advancements in EV international standards: Charging, safety and grid integration with challenges and impacts Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-07 Gaurav Kumar, Suresh Mikkili
Electric Vehicle (EV) standardization is of paramount importance in the rapidly evolving automotive landscape, playing a pivotal role in ensuring interoperability, safety, and global harmonization....
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Energy management of multi-microgrid system with renewable energy using data-driven distributionally robust optimization Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-03 Zhichao Shi, Tao Zhang, Yajie Liu, Yunpeng Feng, Rui Wang, Shengjun Huang
By clustering multiple microgrids (MGs), a multi-microgrid (MMG) system plays a significant role in integrating a large amount of renewable generation. However, the large-scale utilization of renew...
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Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks Int. J. Green Energy (IF 3.3) Pub Date : 2024-03-03 Jiajian Long, Meirong Dong, Jieheng Zhou, Youcai Liang, Jidong Lu
Obtaining real-time physical field data inside the boiler furnace is crucial for combustion diagnostics and optimization. In this work, we propose a fast reconstruction technique for the physical f...
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Wind power forecasting based on a machine learning model: considering a coastal wind farm in Zhejiang as an example Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-26 Guangcheng Gu, Ningbo Li, Yaying Pan, Chonghui Jin, Yabin Li, Rongjie Fang, Kaibo Chen, Qi Wang
The unpredictability and instability of wind have hindered the development and utilization of wind power. To harness wind energy and ensure a secure and stable power grid after wind power integrat...
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Biodiesel from fats: Fatty acid feedstock as a circular economy solution Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-25 Payal Varma, Jyoti Otageri, Balasubramanian Kandasubramanian
The burning and utilization of fossil fuels contribute to climate change and emit pollutants that raise the risk of asthma, heart diseases, respiratory diseases, and strokes in humans. There is an ...
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Multi-criteria decision analysis of alternative fuel buses: methodology and case-study Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-22 Martin Kügemann, Heracles Polatidis
In this paper, a Multi-Criteria Decision Analysis methodological framework is developed to rank alternative fuel buses. It is applied to the case-study of the public transportation system of the is...
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A review of pulsating heat pipes encompassing their dominant factors, flexible structure, and potential applications Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-21 Sagar G. Mushan, Vaibhav N. Deshmukh
The need for sustainable energy sources is growing significantly on a global scale due to the on-going energy crises and issues with environmental degradation. In order to achieve sustainable growt...
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Catalytic hydrothermal liquefaction of Camelina sativa residues for renewable biogasoline production Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-21 Abayomi Akande, Mohanned Mohamedali, Sadanandam Gullapelli, Olumide Bolarinwa Ayodele, Raphael Idem, Hussameldin Ibrahim
Camelina sativa plant residue was used as feedstock for the production of biogasoline (a mixture of paraffinic and olefinic hydrocarbons) by catalytic hydrothermal liquefaction (cHTL) process. The ...
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Estimating of energy consumption of electric vehicles under different road characteristics: a case study for Nanjing, China Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-19 Qianqian Pang, Shuyan Chen, Yongfeng Ma, Fengxiang Qiao, Zhiyu Zhang, Hongru Liu
With the continuous growth of electric vehicle ownership, energy consumption has become an important factor restricting its development. Real-time and accurate energy consumption estimation is esse...
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Composition adjustment study of refrigeration and heat pump systems using CO2-based mixture as the working fluid Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-18 Jing Sun, Lingfeng Shi, Xiaocun Sun, Bowen Lu, Hua Tian, Yu Yao, Meiyan Zhang, Gequn Shu
CO2 refrigeration and heat pump systems have gained widespread attention due to their environmentally friendly features. However, their application is limited by high operating pressure and limited...
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Correction Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-15
Published in International Journal of Green Energy (Vol. 21, No. 5, 2024)
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Research on solar-assisted ejector-enhanced air source heat pump cycle with dual-pressure condensation Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-13 Yan Zhu, Youcai Liang, Kai Ye, Meirong Dong
A novel solar-assisted ejector-enhanced air source heat pump cycle with dual-temperature condensation (SEASHP-DC) is proposed in this study. Two types of hot water with different temperatures can b...
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Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-15 Junshuai Yan, Yongqian Liu, Hang Meng, Li Li, Xiaoying Ren
To reduce the significant economic losses caused by the fault deterioration of wind turbine generators, it is urgent to detect and diagnose the early faults of generators. The existing condition mo...
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Energy management strategy for low hydrogen consumption in hybrid power systems consisting of dual fuel cells and a single lithium battery Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-12 Ze Zhou, Zhichao Fu, Liyan Zhang, Dongqi Zhao, Shuiying Yu, Qihong Chen
Low hydrogen consumption is an important objective for fuel cell power systems as it impacts both economic efficiency and continuous power supply. This paper addresses the optimization problem of m...
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Effect of natural fracture on the heat mining of enhanced geothermal system based on the thermo-hydro-mechanical coupling model Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-14 Jingxuan Xie, Zhaoliang Zhu, Jie Zhang
Hydraulic fracture, natural fracture and fracture networks play a vital role for heat mining of Enhanced Geothermal System (EGS). In this work, a two-dimensional thermo-hydro-mechanical (THM) EGS m...
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Concentration performance evaluation of sunlight concentrators: Fresnel lens, plano-convex lens, and parabolic mirrors for daylighting application Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-12 Jifeng Song, Bizuayehu Bogale Dessie
This study investigates the concentration performance of three concentrator types – Fresnel lens, plano-convex lens, and parabolic mirrors in focusing sunlight onto a 1.5 mm diameter plastic optica...
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Photovoltaic output power estimation model based on multi-meteorological variable dimension reduction and improved variational mode decomposition algorithm Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-05 Yang Lingsheng, Sun Yuhan, Li Wei
The instability and intermittence of photovoltaic (PV) power generation challenge the large-scale integration of PV power generation systems into the power grid and the development of energy storag...
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Short-term wind speed forecasts through hybrid model based on improved variational mode decomposition Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-02 Dai Yiyan, Zhang Mingjin, Xin Xu, Chen Xiaohu, Li Yongle, Liu Maoyi
Scientific and accurate wind predictions are the basis for exploiting and utilizing wind energy. Combining the VMD and KELM, this research proposes a new hybrid model to capture the pattern of wind...
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Modified Harris Hawk algorithm-based optimal photovoltaics for Voltage Stability and Load Flow Analysis Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-07 Prasenjit Dey, Boonruang Marungsri
In the distribution system, proper placement of distributed generation (DG) is still a very challenging issue for getting their maximum potential benefits. Power system stability should be determin...
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Prediction of solar irradiance with machine learning methods using satellite data Int. J. Green Energy (IF 3.3) Pub Date : 2024-02-01 Ugur Ercan, Abdulkadir Kocer
Solar energy is used in many domestic and industrial areas. To make maximum use of solar energy, it is important to know the irradiance value per unit area. Irradiance measurements are carried out ...
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Micro-short circuit fault diagnosis of lithium-ion battery based on voltage curve similarity ranking volatility Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-31 Chun Chang, Cen Haimei, Guangwei Su, Jiuchun Jiang, Aina Tian, Jiang Yan, Yang Gao, Tiezhou Wu
An electric vehicle battery system often consists of multiple battery cells that are interconnected in series and parallel. If a micro-short circuit failure occurs in one of the battery cells, it m...
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Mn-doped NiTiO3 catalysts for hydrogen production via auto-thermal reforming of acetic acid Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-24 Fangqiao Pang, Yuxin Song, Chenghong Shu, Chenyu Ding, Lihong Huang
Auto-thermal reforming (ATR) of acetic acid (HAc) offers a feasible, carbon-neutral way to produce hydrogen, and Ni-based catalysts were found effective in ATR, while catalytic deactivation by sint...
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Pathways for carbon emission prediction and mitigation of sustainable industrial parks: a LEAP model application Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-23 Dawei Feng, Xinyu Gao, Yun Yang, Shirui Feng, Xiaohu Yang, Jinyue Yan
Industrial parks play a crucial role as a carrier of industrial clusters and energy consumption. Accurately predicting the energy demand and carbon emissions trend is key to scientifically determin...
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Experimental study on voltage instability of proton exchange membrane fuel cell: Types and boundaries Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-23 Zhina Wang, Xi Fu, Yangbin Shao, Xiyuan Zhang, Zunyan Hu, Liangfei Xu, Jianqiu Li, Minggao Ouyang
This paper presents an experimental study on the voltage instability in proton exchange membrane fuel cells operating at high current densities, which is important for improving their reliability a...
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Displacement sensorless control of a bearingless induction motor based on modified high-frequency signal injection Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-23 Yifan Bian, Zebin Yang, Xiaodong Sun, Shihan Zhan
To enhance the rotor radial displacement identification accuracy of a bearingless induction motor (BIM) in displacement sensorless control, a displacement sensorless control strategy based on modif...
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Remaining useful life prediction of proton exchange membrane fuel cell based on Wiener process and Bayesian GRU network considering multi-source uncertainties Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-21 Yanyan Hu, Li Zhang, En Fu, Yunpeng Jiang, Kaixiang Peng
Proton exchange membrane fuel cell (PEMFC) is considered as one of the most promising green energy devices. Although fruitful results can be available for the remaining useful life (RUL) prediction...
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Effect of lubricating oil on non-azeotropic refrigerant in flow boiling: an entropy generation analysis Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-17 Qifan Wang, Liwei Dong, Minxia Li, Chaobin Dang, Xuetao Liu, Dandan Su, Qing Miao
Entropy generation analysis is a useful method for studying the relationship between heat transfer and pressure drop in flow boiling. The flow boiling process in an actual refrigeration system i...
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A method for predicting photovoltaic output power based on PCC-GRA-PCA meteorological elements dimensionality reduction method Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-13 Lingsheng Yang, Xiangyu Cui, Wei Li
Photovoltaic (PV) power generation forecasting models require a large amount of meteorological data, which may include irrelevant and redundant information. As the volume of data increases, the dat...
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Influence of crack formation at the catalyst layer and membrane interface on the performance of PEMFC Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-13 Zizhe Dong, Yuwen Liu, Yanzhou Qin
Temperature and humidity cycling during frequent startup-shutdown of proton exchange membrane (PEM) fuel cell (PEMFC) can lead to crack formation in the catalyst layer (CL) or even at the interface...
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An end-cloud collaboration approach for state-of-health estimation of lithium-ion batteries based on bi-LSTM with collaboration of multi-feature and attention mechanism Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-08 Pengchang Jiang, Tianyi Zhang, Guangjie Huang, Wei Hua, Yong Zhang, Wentao Wang, Tao Zhu
This study develops an end-cloud collaboration method for estimating the State-of-Health (SOH) of batteries. It fuses a cloud-based deep learning model for detailed analysis and an end-side model f...
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Potential assessment of biomass-based single-stage adsorption systems for refrigeration, cooling, and heat-pumping applications Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-08 P. R. Chauhan, S. Yagnamurthy, S. K. Tyagi
This article presents the performance estimation of a single-stage vapor adsorption system employing various carbon-based adsorbents with ethanol refrigerant, coupled with a small-scale biomass-bas...
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Development of two diesel surrogates focusing on the soot emission under engine-like conditions Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-05 Shihao Zhu, Wei Shen, Ziyang Liu, Xingyu Liang, Qinran Wu, Yibao Wang
Threshold sooting index (TSI) is one of the critical properties related to the soot emission of diesel. Investigating the effects of TSI on the prediction of soot emission and the response of the s...
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Optimal allocation of open unified power quality conditioner in integrated distribution system environment with renewable energy sources Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-04 Vinay Kumar Tatikayala, Shishir Dixit
The growing utilization of renewable energy sources (RES) that rely on inverters has adverse impacts on distribution systems, resulting in challenges such as power quality (PQ) issues and increased...
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Green heterogeneous catalysts derived from fermented kola nut pod husk for sustainable biodiesel production Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-04 Asuquo Jackson Asuquo, Xiaolei Zhang, Leteng Lin, Jun Li
The use of green heterogeneous catalysts that are obtained from waste agricultural biomass can make the production of biodiesel more economical. In this research, three solid base heterogeneous cat...
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Two-phase flow dynamics study in the trapezoidal gas channel of PEM fuel cell based on lattice Boltzmann model Int. J. Green Energy (IF 3.3) Pub Date : 2024-01-03 Xuecheng Lv, Zhifu Zhou, Wei-Tao Wu, Lei Wei, Linsong Gao, Yunjie Yang, Yang Li, Yubai Li, Yongchen Song
Water management is a critical challenge in ensuring the performance and durability of low-temperature proton exchange membrane fuel cells (PEMFCs). This study utilizes the phase-field lattice Bolt...
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Tidal current energy resources assessment in Zhoushan Archipelago, China Int. J. Green Energy (IF 3.3) Pub Date : 2023-12-30 Jian Chen, Chao Dai, Bo Wen, Lv Ren, Dengsong Li, Xin Jin
Zhoushan Archipelago, the largest archipelago in China, harbors a significant tidal stream resource due to robust tidal currents coursing through numerous channels between its islands. Nevertheless...
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Study of a dynamic effect-based method for wind farm yaw control optimization Int. J. Green Energy (IF 3.3) Pub Date : 2023-12-30 Li Li, Na Lin, Hang Meng, Xin Yu, Yongqian Liu
The wake effect will cause wind farm power loss. Wake redirection is a wind farm control strategy to reduce wake losses and increase total power output. In the previous research, analytical wake mo...
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An effective thermal conductivity correlation for three high-temperature chloride salts melting in a spherical thermal storage capsule Int. J. Green Energy (IF 3.3) Pub Date : 2023-12-30 Meng-Jie Li, Ming-Jia Li, Zhan-Bin Liu, Dong Li
Chloride salts are viable phase change materials (PCMs) for packed-bed thermal energy storage for third-generation concentrating solar power (CSP) systems. In the study, a two-dimensional, axisymme...
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Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods Int. J. Green Energy (IF 3.3) Pub Date : 2023-12-29 Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, Huu Son Le, Viet Dung Tran, Dao Nam Cao
Biomass pyrolysis is a sustainable process for generating biochar from agricultural waste, though it is generally energy-intensive and time-consuming. To address this issue, the researchers gathere...