Article
Chemistry, Physical
Hongwen He, Chunchun Jia, Jianwei Li
Summary: This paper proposes a new cost-minimizing power-allocating technique with fuel cell/battery healthaware control to optimize the economic potential of fuel cell/battery hybrid buses. The proposed framework quantifies the fuel cell (FC) deterioration of the whole working zone in a real hybrid electric bus using a long short-term memory network (LSTM), and embeds a new FC lifespan model and battery aging model to balance hydrogen consumption and energy source durability.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Orlando Barraza, Miquel Estrada
Summary: Recent advances in electromobility for bus fleets have improved transit service sustainability, but necessitate the development of vehicle recharging facilities. The paper introduces a methodology for designing an efficient transit network using battery electric buses, with optimal configurations to minimize agency costs, emissions, and travel time for users. Testing in Guadalajara, Mexico showed that the proposed method outperformed current bus services, reducing agency costs and environmental impact.
Article
Energy & Fuels
Antonio Garcia, Javier Monsalve-Serrano, Rafael Lago Sari, Shashwat Tripathi
Summary: This study conducted a life cycle analysis of different powertrain technologies for the bus rapid transit networks in the four largest cities in Spain. The results showed that hybrid and electric buses have significant improvements in CO2 emissions, life cycle emissions, driving range, and life cycle cost compared to standard diesel buses.
Article
Green & Sustainable Science & Technology
Lucian-Ioan Dulau
Summary: This paper investigates the feasibility of using hydrogen as an energy source in microgrids and compares the power cost and CO2 emissions in different scenarios. The results show that hydrogen can effectively supply power in spring and summer, while additional sources such as the power grid and natural gas reforming are necessary for winter and autumn. Winter has the highest power cost and CO2 emissions.
Article
Engineering, Electrical & Electronic
Anil Kumar Reddy Siddavatam, Kaushik RajaShekara, Ravi Prakash Reddy, Hao Huang, Harish S. Krishnamoorthy, Zhou Dong, Fei Wang
Summary: This article introduces two electrical architectures for electric/hybrid-electric aircraft propulsion systems to address the issues of the radial baseline architecture. By using these architectures, faults on the bus can be isolated without disconnecting all the propulsion motors, increasing system reliability. The protection strategy and action of circuit breakers are discussed, and the feasibility of interconnecting individual propulsion channels to reduce component oversizing is also analyzed.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Yanbiao Feng, Haijia Zhu, Zuomin Dong
Summary: This research explores the optimization of powertrain component sizes and control methods to achieve low fuel consumption and low carbon emissions in the NG-diesel hybrid electric marine propulsion system. The study achieved a 75% reduction in fuel cost and a 40% improvement in global energy efficiency during actual operation.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Green & Sustainable Science & Technology
S. Rafique, M. S. H. Nizami, U. B. Irshad, M. J. Hossain, S. C. Mukhopadhyay
Summary: This paper proposes a novel energy management system for bus depot operators to trade energy in the market and reduce operational costs. Simulation studies validate the effectiveness of the proposed system, showing it can significantly reduce energy costs compared to other scheduling strategies.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Ahmed Foda, Hatem Abdelaty, Moataz Mohamed, Ehab El-Saadany
Summary: Implementing battery electric buses (BEB) in transit operation can effectively reduce greenhouse gas emissions, but it faces challenges due to the interdependency of various system parameters. This study develops an optimization model that considers BEB cost, utility impact, and GHG emissions, optimizing the charging infrastructure, battery capacity, and charging schedule. The results show that both en-route and depot charging approaches are necessary, with different power capacities and charger quantities. The temporal variation of electricity time-of-use and GHG emissions intensity also greatly influence the charging strategy and system cost.
Article
Engineering, Multidisciplinary
Mehmet Akif Gormez, Md Ehsanul Haque, Yilmaz Sozer
Summary: This article focuses on reducing the battery size requirements of electric buses through battery charging and speed profile optimization. An optimization algorithm is developed to determine the optimal driving cycle and charging time at each bus stop, and case studies have verified the effectiveness of this approach in reducing energy consumption and battery size requirements of electric buses.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Chemistry, Physical
Tubagus Aryandi Gunawan, Ian Williamson, Diana Raine, Rory F. D. Monaghan
Summary: This study presents a nationwide hydrogen fuel supply chain system in Ireland, utilizing wind power to produce hydrogen and optimizing the supply chain through GIS for fuel cell electric buses. Results show the system can meet the fuel demand of multiple cities' buses, with relatively low operating costs, potentially competitive with diesel buses.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Information Systems
David Tena-Gago, Qi Wang, Jose M. Alcaraz-Calero
Summary: Autonomous driving should consider its carbon footprint for a sustainable future. This work proposes a new, portable, and cost-effective CO2 emissions sensor in a Light Duty Vehicle, enabling carbon footprint aware autonomous driving. The solution achieves real-time reporting of CO2 emissions, satisfying non-invasive procedures, and is validated in compliance with EU's emissions test procedures.
INTERNET OF THINGS
(2023)
Article
Environmental Studies
Qiuzi Chen, Chenming Niu, Ran Tu, Tiezhu Li, An Wang, Dengbo He
Summary: This paper explores a cost-efficient resource assignment for urban battery-electric-buses (BEBs) considering decision robustness based on the optimized charging plan. A network flow model was proposed to minimize the operation cost with mixed fleet, nonlinear charging, and the constraint of charging station capacity. Results show that charging at night or with short duration in the daytime significantly increases the operation cost. Sufficient charging resources improve the robustness of the charging plan, while economic benefits merely increase when the charging station capacity reaches a certain threshold.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Environmental Studies
Mikko Ropo, Helka Mustonen, Mirika Knuutila, Mika Luoranen, Antti Kosonen
Summary: Renewable energy technologies are seen as a way to mitigate the climate impact of buildings, but the embodied CO2 emissions in these technologies have been overlooked. This study proposes a method that combines emission and cost calculations, incorporating the compensation cost for carbon footprint in the overall life cycle cost of carbon-neutral building energy systems. The method was tested in a case study, showing that embodied emissions could account for a significant portion of the total carbon footprint, and carbon compensation for a small percentage of the life cycle cost. The method proved to be applicable for optimizing carbon-neutral energy systems and is recommended for further research on this topic.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Sciences
Wilfried Rickels, Felix Meier, Martin Quaas
Summary: This analysis proposes the concept of climate wealth borrowing and quantifies the country-specific present value of climate change impacts arising from energy and industrial CO2 emissions of the period of 1950-2018. It finds that the United States and China have been responsible for the largest shares of global climate wealth borrowing since 1950, while the per-capita pattern is quite different.
NATURE CLIMATE CHANGE
(2023)
Article
Green & Sustainable Science & Technology
Vivienne Schnorf, Evelina Trutnevyte, Gillianne Bowman, Vanessa Burg
Summary: The main barrier to biomass transport in Switzerland is cost rather than energy or emissions performance. Transport of forest wood is more efficient than transport of manure.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.