Article
Economics
Catherine Ledna, Matteo Muratori, Aaron Brooker, Eric Wood, David Greene
Summary: Supporting the adoption of zero-emission vehicles, particularly electric vehicles, is a priority for governments due to their potential to reduce petroleum demand, improve air quality, and lower carbon emissions. This study uses a consumer choice model to simulate vehicle adoption and emissions in California, and demonstrates the effectiveness of public charging infrastructure and vehicle purchase subsidies in promoting EV sales and reducing CO2 emissions under different scenarios.
Article
Economics
Nicolas Koch, Nolan Ritter, Alexander Rohlf, Francesco Scarazzato
Summary: This study investigates whether the mature electric vehicle market in Norway has overcome critical mass constraints and can achieve sustainable long-term equilibria without subsidies. By estimating a structural model and simulating market outcomes, it is found that 80% of municipalities in the mature market have passed critical mass, and 60% of the Norwegian population now lives in municipalities with high EV adoption, suggesting that subsidies are no longer justified.
Article
Automation & Control Systems
Si Lv, Sheng Chen, Zhinong Wei
Summary: With the increasing use of electric vehicles, the coordination between power and transportation networks becomes crucial for maximizing the benefits. This article proposes a Nash-Stackelberg-Nash game framework to model the interactions between drivers and network operators. A subsidy-based method is introduced to address the upper bounding issue in the existing tariff-based incentive scheme. The effectiveness of the noncooperative operation and the subsidy-based scheme is demonstrated through numerical experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Thermodynamics
Rui Hou, Lei Lei, Kangning Jin, Xiaogang Lin, Lu Xiao
Summary: This study investigates the coexistence of combustion and electric vehicles in the traditional combustion-vehicle market under the influence of network effects. The impact of the greenness gap and network effect on pricing, subsidies, and market returns is evaluated. The results show that introducing electric vehicles is beneficial when the network effect is not considered, but it can only increase manufacturer's profit and social welfare if the fixed costs of the new product line are sufficiently low. Therefore, electric vehicles should be introduced if the greenness gap between the two products is small.
Article
Green & Sustainable Science & Technology
Yan Zhang, Bak Koon Teoh, Limao Zhang
Summary: The paper proposes a hybrid approach integrating GIS and BN to deal with the location selection problem of charging stations for EVs. The transportation efficiency is identified as the most important factor in the location selection, more important than social and economic efficiency.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Rubina Ilyas, Khadim Hussain, Mehreen Zaid Ullah, Jianhong Xue
Summary: One of the main challenges faced by Pakistan currently is the increasing demand for energy. Due to fiscal burdens and fluctuating oil prices, the government has been reducing subsidies on commercial fuels. This study examines the impact of phasing out residential electricity subsidies on household welfare and finds that the removal of subsidies leads to a significant decrease in real expenditure for all income groups, with wealthier households being affected more. Additionally, the study highlights the greater indirect effect of subsidy removal, which leads to inflation. To address this issue, the government should focus on the indirect effects of subsidy reform and implement cost-effective policies to protect the poor.
Article
Engineering, Manufacturing
Jiayi Joey Yu, Christopher S. Tang, Musen Kingsley Li, Zuo-Jun Max Shen
Summary: The study on the coordination of electric vehicle (EV) charging station construction yielded three major results: governments and automakers should build extra EV charging stations when construction costs are independent; when construction costs are dependent, governments should delegate construction to automakers by offering subsidies; providing purchase subsidies is more cost-effective for consumers.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Review
Construction & Building Technology
Muhammad Adil, M. A. Parvez Mahmud, Abbas Z. Kouzani, SuiYang Khoo
Summary: The integration of renewable and other distributed energy resources has imposed challenges on the traditional power grid. The increasing demand for green energy and energy trading is driving the need for innovative solutions in the energy market, especially with the rise of electric vehicles. The use of Stackelberg game in modeling energy trading interactions and strategies shows promise in optimizing payoffs and addressing challenges in the current energy trading framework.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Civil
Efstathios Zavvos, Enrico H. Gerding, Markus Brede
Summary: Establishing en-route charging stations is crucial for the adoption of electric vehicles, but careful planning is needed to address high infrastructure costs and long waiting queues. Existing literature often overlooks competition in station placement, while this study takes into account both investors' and drivers' interests to propose a solution.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mauro Zucca, Paolo Squillari, Umberto Pogliano
Summary: This article describes a new traceable measurement system designed for the characterization of inductive charging stations for electric vehicles, focusing on static charging. The system can accurately measure the performance and efficiency of charging stations and converters, improving the ability to characterize wireless charging stations both in field and laboratory environments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Energy & Fuels
Qi Zhang, Yanyan Tang, Derek Bunn, Hailong Li, Yaoming Li
Summary: This study proposes a reward-penalty mechanism for promoting the recycling of LIBs, and finds that a partnership between the manufacturer and retailer can achieve the highest collection rate and total welfare. While increasing the reward-penalty intensity can contribute to higher collection rates, the negative influences of policy expenditure and implementation cost may lead to a decrease in total welfare.
Article
Automation & Control Systems
Javier A. Torres Bustos, Marcos E. Orchard, Miguel Torres-Torriti, Fernando Auat Cheein
Summary: Several countries are leading the effort of replacing internal combustion engines (ICE) in vehicles with electric ones in order to reduce dependence on oil and carbon emissions. However, the range of electric vehicles (EVs) is still lower compared to ICE vehicles, depending on the energy stored and its utilization rate. In this study, the authors propose a method to estimate the average power consumption of EVs using only localization information, achieving high accuracy without the need for extra sensors.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Mohammad Ali Hosseinzadeh, Maryam Sarebanzadeh, Cristian F. Garcia, Ebrahim Babaei, Jose Rodriguez, Ralph Kennel
Summary: This article introduces a generalized topology for multisource inverters (MSIs) and discusses their advantages in reducing the battery capacity requirements of electric vehicles. The feasibility of the proposed approach is validated through simulation results, and experimental results are presented to verify the correct operation of the system under static load.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Erdem Guemruekcue, Jonatan Ralf Axel Klemets, Jon Are Suul, Ferdinanda Ponci, Antonello Monti
Summary: This study introduces a decentralized management concept for urban charging hubs, where electric vehicles can access multiple charger clusters controlled by aggregators. The provided day ahead schedules and peak power limits of the aggregators can restrict energy supply. A suitable energy management concept is required to mitigate the impact on EV users. In the proposed approach, an electromobility operator allocates incoming EVs into charger clusters using a smart routing algorithm that optimizes cluster allocations and charging schedules. Real-time charging control is achieved through an optimization problem solved by each aggregator. The results demonstrate the effectiveness of the proposed concept in reducing deviations from schedules and violations of power limits, while decreasing unfulfilled charging demand and unscheduled discharge from EV batteries.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Cun Wang, Pengfei Zheng, Jennifer Bauman
Summary: The auxiliary power module (APM) plays a crucial role in electric vehicles (EVs) by facilitating efficient power transfer from the traction battery to low-voltage electrical loads and the 12 V battery. With the continuous development of the EV industry, APM design faces challenges such as higher power ratings, higher voltage ranges, improved reliability, and increased power density, while maintaining efficient operation. However, there is a lack of comprehensive literature that reviews recent APM topologies based on these evolving requirements. This article addresses this research gap by comprehensively reviewing current APM topologies from both academia and industry, and exploring potential future trends for APM design and development.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
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.