Green Energy and Intelligent Transportation最新文献_第8页

Exploring socioeconomic and political feasibility of aviation biofuel production and usage in Malaysia: A thematic analysis approach using expert opinion from aviation industry 探索马来西亚航空生物燃料生产和使用的社会经济和政治可行性:利用航空业专家意见的专题分析方法

Green Energy and Intelligent Transportation Pub Date : 2023-10-01 DOI: 10.1016/j.geits.2023.100111

Thanikasalam Kumar , Gevansri K. Basakran , Mohd Zuhdi Marsuki , Ananth Manickam Wash , Rahmat Mohsin , Zulkifli Abd. Majid , Mohammad Fahmi Abdul Ghafir

{"title":"Exploring socioeconomic and political feasibility of aviation biofuel production and usage in Malaysia: A thematic analysis approach using expert opinion from aviation industry","authors":"Thanikasalam Kumar , Gevansri K. Basakran , Mohd Zuhdi Marsuki , Ananth Manickam Wash , Rahmat Mohsin , Zulkifli Abd. Majid , Mohammad Fahmi Abdul Ghafir","doi":"10.1016/j.geits.2023.100111","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100111","url":null,"abstract":"<div><p>Aviation biofuel, which is derived from renewable feedstocks, is typically seen as being fundamentally sustainable. However, a variety of industries are involved in its creation, and several societal actors are involved as well. Therefore, it is crucial to comprehend and assess not just the process's consequences on the environment but also its economic and political ones. Studies examining the social and political implications of aviation biofuel are now uncommon in scholarly literature. The aim of this study, therefore, is to assess key effects of economic, social and politics in aviation biofuel production and usage in aviation industry in Malaysia. This paper addresses this gap by investigating the issues with pertaining to economic, social, and political effects of using biofuels in aviation, usage, adoption, and challenges in aviation industries. A grounded theory approach in qualitative data analysis was used to examine 20 interviews with experts of varying roles and experiences in aviation. Semi-structured were used to interview experts to answer, respond to or comment on them in a way that they think best. Discourse analysis method was used for data collection and analysed using thematic analysis. A total of 21 themes were identified with the first dataset (socioeconomic feasibility) had 16 themes and second dataset (political feasibility) had a total of 5 themes. The study revealed that experts had mixed reactions on the adoption level of biofuels in the aviation industry with most of them indicating that the level of adoption of biofuels in Malaysian aviation industry is high.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 5","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power output forecasting of solar photovoltaic plant using LSTM 基于LSTM的太阳能光伏电站输出预测

Green Energy and Intelligent Transportation Pub Date : 2023-10-01 DOI: 10.1016/j.geits.2023.100113

Dheeraj Kumar Dhaked , Sharad Dadhich , Dinesh Birla

引用次数: 2

Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges 联网车辆和智能交通系统的持续驾驶员行为学习:框架、调查和挑战

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100103

Zirui Li , Cheng Gong , Yunlong Lin , Guopeng Li , Xinwei Wang , Chao Lu , Miao Wang , Shanzhi Chen , Jianwei Gong

{"title":"Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges","authors":"Zirui Li , Cheng Gong , Yunlong Lin , Guopeng Li , Xinwei Wang , Chao Lu , Miao Wang , Shanzhi Chen , Jianwei Gong","doi":"10.1016/j.geits.2023.100103","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100103","url":null,"abstract":"<div><p>Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and intelligent transportation systems (ITS). This study provides a review of DBL, which mainly focuses on typical applications in CV and ITS. First, a comprehensive review of the state-of-the-art DBL is presented. Next, Given the constantly changing nature of real driving scenarios, most existing learning-based models may suffer from the so-called “catastrophic forgetting,” which refers to their inability to perform well in previously learned scenarios after acquiring new ones. As a solution to the aforementioned issue, this paper presents a framework for continual driver behaviour learning (CDBL) by leveraging continual learning technology. The proposed CDBL framework is demonstrated to outperform existing methods in behaviour prediction through a case study. Finally, future works, potential challenges and emerging trends in this area are highlighted.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Operating conditions combination analysis method of optimal water management state for PEM fuel cell PEM燃料电池最佳水管理状态工况组合分析方法

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100105

Wenxin Wan , Yang Yang , Yang Li , Changjun Xie , Jie Song , Zhanfeng Deng , Jinting Tan , Ruiming Zhang

{"title":"Operating conditions combination analysis method of optimal water management state for PEM fuel cell","authors":"Wenxin Wan , Yang Yang , Yang Li , Changjun Xie , Jie Song , Zhanfeng Deng , Jinting Tan , Ruiming Zhang","doi":"10.1016/j.geits.2023.100105","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100105","url":null,"abstract":"<div><p>The water content of proton exchange membrane fuel cells (PEMFCs) affects the transport of reactants and the conductivity of the membrane. Effective water management measures can improve the performance and extend the lifespan of the fuel cell. The water management state of the stack is influenced by various external operating conditions, and optimizing the combination of these conditions can improve the water management state within the stack. Considering that the stack's internal resistance can reflect its water management state, this study first establishes an internal resistance-operating condition model that considers the coupling effect of temperature and humidity to determine the variation trend of total resistance and stack humidity with single-factor operating conditions. Subsequently, the water management state optimization method based on the ANN-HGPSO algorithm is proposed, which not only quantitatively evaluates the influence weights of different operating conditions on the stack's internal resistance but also efficiently and accurately obtains the optimal combination of five operating conditions: working temperature, anode gas pressure, cathode gas pressure, anode gas humidity, and cathode gas humidity to achieve the optimal water management state in the stack, within the entire range of current densities. Finally, the response surface experimental results of the stack also validate the effectiveness and accuracy of the ANN-HGPSO algorithm. The method mentioned in this article can provide effective strategies for efficient water management and output performance optimization control of PEMFC stacks.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49735177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario 燃料电池客车进站场景的分层预测能量管理策略

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100095

Mei Yan , Hongyang Xu , Menglin Li , Hongwen He , Yunfei Bai

{"title":"Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario","authors":"Mei Yan , Hongyang Xu , Menglin Li , Hongwen He , Yunfei Bai","doi":"10.1016/j.geits.2023.100095","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100095","url":null,"abstract":"<div><p>This paper aims to answer how to use traffic information to design energy management strategies for fuel cell buses in a networked environment. For the buses entering the bus stops scenario, this paper proposes a hierarchical energy management strategy for fuel cell buses, which considers the traffic information near the bus stops. In the upper-level trajectory planning stage, the optimal SOC trajectory under various historical traffic conditions is solved through dynamic planning. The traffic information and the best SOC trajectory are mapped through BiLSTM, which can achieve fast, real-time long-term SOC reference. In the lower-level real-time predictive energy management strategy, the optimal SOC is used as the state reference to guide the predictive energy management of fuel cell buses when entering the bus stops. Simulation results show that compared with the strategy without SOC trajectory reference, the life cost of the proposed strategy is reduced by 13.8%, and the total cost is reduced by 3.61%. The SOC of the proposed strategy is closer to the DP optimal solution.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49716923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A design method for booster motor of brake-by-wire system based on intelligent electric vehicle 基于智能电动汽车线控制动系统的助力电机设计方法

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100110

Bumin Meng , Zhengzhao Zhou , Congyue Zhang , Feifan Yang

{"title":"A design method for booster motor of brake-by-wire system based on intelligent electric vehicle","authors":"Bumin Meng , Zhengzhao Zhou , Congyue Zhang , Feifan Yang","doi":"10.1016/j.geits.2023.100110","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100110","url":null,"abstract":"<div><p>The brake-by-wire (BBW) system is an essential part of the intelligent electric vehicle, which is determination of the braking safety and recovery efficiency. To design a safe and efficient booster motor, the design of booster motor for BBW system is discussed in this paper. Through comparative analysis, experimental simulation and assessment argument, the scheme of designing a booster motor for brake-by-wire system is completely described. First, the mainstream structure of the BBW system and the main challenges it faces in the assisted motor are discussed. Second, comparing the motors of different types and structures, the motor body and control system scheme suitable for the characteristics of the booster motor system are determined. Then, through the simulation analysis of the ansoft and matlab, the optimization scheme of the motor and performance improvement are proposed. Further, through the actual design of a set of the booster motor system, the safe and efficient motor designing are verified, and the problems involving functional safety are discussed. Finally, focus on the problem while simulation and experiment, some important countermeasures to improve current technology and prospect of in-depth study are pointed out.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feasibility of electric two and three-wheelers in Africa 非洲电动两轮车和三轮车的可行性

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100106

Godwin Kafui Ayetor , Innocent Mbonigaba , Joseph Mashele

{"title":"Feasibility of electric two and three-wheelers in Africa","authors":"Godwin Kafui Ayetor , Innocent Mbonigaba , Joseph Mashele","doi":"10.1016/j.geits.2023.100106","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100106","url":null,"abstract":"<div><p>Due to the less stringent emission technology requirement, motorized two and three-wheelers (2&3W) generate more pollutants than cars. About 20% of the world's registered motorcycles are known to be in Africa. Vehicle pollution is one of the major causes of death and health problems in Africa. The electrification of transportation provides an opportunity for E2&3W in Africa. To assess this transition, this study quantifies the number of E2&3W present in some African countries. Surveys of electric vehicle start-ups, drivers, and owner experiences are used to determine the E2&3W's technical feasibility and ability to compete with petrol scooters (p-scooters). SimaPro 9.4 software together with Ecoinvent 3.8 database was used to conduct a cradle-to-the-grave analysis of the environmental impact of using electric scooters (e-scooters). The research found that Africa's E2&3W's have a 0.2% market share compared to gasoline versions. The main disadvantage of e-scooters is their limited range and battery life. The average range and speed are 50 km and 50 km/h, respectively. Overloading of E2&3W caused damage to traction motors and was of major concern to distributors. The main advantages of E2&3W are their low operating costs and low environmental impact. In South Africa, the total environmental impact of e-scooters outweighed that of p-scooters. Emissions that have a direct impact on human health, were significantly lower for e-scooters than for p-scooters. The lack of battery performance standards, battery swapping station standards, and charging station standards negatively affects the quality of imported e-scooters. African countries need to implement electric vehicle standards, and battery recycling policies, and establish electric vehicle training and research centers.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning 利用基于注意力的深度强化学习解决城市空域无人机作战中的战术冲突

Green Energy and Intelligent Transportation Pub Date : 2023-08-01 DOI: 10.1016/j.geits.2023.100107

Mingcheng Zhang , Chao Yan , Wei Dai , Xiaojia Xiang , Kin Huat Low

{"title":"Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning","authors":"Mingcheng Zhang , Chao Yan , Wei Dai , Xiaojia Xiang , Kin Huat Low","doi":"10.1016/j.geits.2023.100107","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100107","url":null,"abstract":"<div><p>Unmanned aerial vehicles (UAVs) have gained much attention from academic and industrial areas due to the significant number of potential applications in urban airspace. A traffic management system for these UAVs is needed to manage this future traffic. Tactical conflict resolution for unmanned aerial systems (UASs) is an essential piece of the puzzle for the future UAS Traffic Management (UTM), especially in very low-level (VLL) urban airspace. Unlike conflict resolution in higher altitude airspace, the dense high-rise buildings are an essential source of potential conflict to be considered in VLL urban airspace. In this paper, we propose an attention-based deep reinforcement learning approach to solve the tactical conflict resolution problem. Specifically, we formulate this task as a sequential decision-making problem using Markov Decision Process (MDP). The double deep Q network (DDQN) framework is used as a learning framework for the host drone to learn to output conflict-free maneuvers at each time step. We use the attention mechanism to model the individual neighbor's effect on the host drone, endowing the learned conflict resolution policy to be adapted to an arbitrary number of neighboring drones. Lastly, we build a simulation environment with various scenarios covering different types of encounters to evaluate the proposed approach. The simulation results demonstrate that our proposed algorithm provides a reliable solution to minimize secondary conflict counts compared to learning and non-learning-based approaches under different traffic density scenarios.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 4","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49717217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Optimal allocation of plug-in electric vehicle charging stations in the distribution network with distributed generation 分布式发电配电网中插电式电动汽车充电站的优化配置

Green Energy and Intelligent Transportation Pub Date : 2023-06-01 DOI: 10.1016/j.geits.2023.100094

Ebunle Akupan Rene , Willy Stephen Tounsi Fokui , Paule Kevin Nembou Kouonchie

{"title":"Optimal allocation of plug-in electric vehicle charging stations in the distribution network with distributed generation","authors":"Ebunle Akupan Rene , Willy Stephen Tounsi Fokui , Paule Kevin Nembou Kouonchie","doi":"10.1016/j.geits.2023.100094","DOIUrl":"https://doi.org/10.1016/j.geits.2023.100094","url":null,"abstract":"<div><p>The transportation sector is characterized by high emissions of greenhouse gases (GHG) into the atmosphere. Consequently, electric vehicles (EVs) have been proposed as a revolutionary solution to mitigate GHG emissions and the dependence on petroleum products, which are fast depleting. EVs are proliferating in many countries worldwide and the fast adoption of this technology is significantly dependent on the expansion of charging stations. This study proposes the use of the hybrid genetic algorithm and particle swarm optimization (GA-PSO) for the optimal allocation of plug-in EV charging stations (PEVCS) into the distribution network with distributed generation (DG) in high volumes and at selected buses. Photovoltaic (PV) systems with a power factor of 0.95 are used as DGs. The PVs are penetrated into the distribution network at 60% and six penetration cases are considered for the optimal placement of the PEVCSs. The optimization problem is formulated as a multi-objective problem minimizing the active and reactive power losses as well as the voltage deviation index. The IEEE 33 and 69 bus distribution networks are used as test networks. The simulation was performed using MATLAB and the results obtained validate the effectiveness of the hybrid GA-PSO. For example, the integration of PEVCSs results in the minimum bus voltage still within accepted margins. For the IEEE 69 bus network, the resulting minimum voltage is 0.973 p.u in case 1, 0.982 p.u in case 2, 0.96 p.u in case 3, 0.961 p.u in case 4, 0.954 p.u in case 5, and 0.965 p.u in case 6. EVs are a sustainable means of significantly mitigating emissions from the transportation sector and their utilization is essential as the worldwide concern of climate change and a carbon-free society intensifies.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 3","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Advancements on unmanned vehicles in the transportation system 交通运输系统中无人驾驶车辆的进展

Green Energy and Intelligent Transportation Pub Date : 2023-06-01 DOI: 10.1016/j.geits.2023.100091

Xiaobo Qu , Dawei Pi , Lei Zhang , Chen Lv

引用次数: 0