Article
Engineering, Civil
Pengcheng You, John Z. F. Pang, Steven H. Low
Summary: This paper investigates the problem of online station assignment for commercial electric vehicles that request battery swapping, and proposes an efficient algorithm that performs well on realistic inputs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Energy & Fuels
Swapnil R. Revankar, Vaiju N. Kalkhambkar
Summary: Battery Swapping Station (BSS) offers an alternative way to charge Electric Vehicles (EVs), serving as grid scale energy storage with significant potential. It has a broad review of its relation with EVs and power grid, discussing various operations, research on grid integrated BSS, optimization strategies, case studies, as well as challenges and trends. BSS shows promise for the widespread adoption of EVs.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Xinjiang Chen, Yu Yang, Jianxiao Wang, Jie Song, Guannan He
Summary: Battery swapping station (BSS), as a business model of battery energy storage (BES), has vast potential in future low-carbon energy and transportation systems. However, frequent swapping leads to accelerated battery degradation, although it extends the economic life of the battery. A life-cycle decision model is proposed to optimize the marginal degradation cost (MDC) of BSS for maximizing its benefits in energy and transportation applications.
Article
Energy & Fuels
Grzegorz Iwanski
Summary: This paper presents a multiple-unit charging system for a battery swapping station, with a focus on the communication system post-fault operation. The control system aims to prioritize charging for batteries with higher state of charge, ensuring availability of fully charged batteries for swapping when energy is limited. A method based on two-dimensional nonlinear characteristic is proposed for individual charging units in case of communication channel fault.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Mohd Khalid, Furkan Ahmad, Bijaya Ketan Panigrahi, Hafizur Rahman
Summary: A combined AC-DC power flow model was proposed for existing AC distribution systems, with DC superimposed from a battery swapping station onto AC feeder lines using a zig-zag transformer. The methodology significantly enhances power flow capability and allows direct connection of AC and DC loads in the distribution system.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Review
Thermodynamics
Dingsong Cui, Zhenpo Wang, Peng Liu, Shuo Wang, David G. Dorrell, Xiaohui Li, Weipeng Zhan
Summary: This paper provides a comprehensive overview of the operation optimization approaches for EV battery swapping and charging stations. It analyzes the mathematical methods used in the process and examines the current operation mode and optimization objectives. The paper also discusses the merits and drawbacks of previous studies and suggests future research opportunities.
Article
Construction & Building Technology
Min-Der Lin, Ping-Yu Liu, Ming-Der Yang, Yu-Hao Lin
Summary: This study aims to develop an optimized allocation model to solve the problem of stochastic battery swapping demand. Through Monte Carlo simulation to predict battery swapping demand, and using optimizers to determine the best BSS locations to minimize costs.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Computer Science, Information Systems
Truong Hoang Bao Huy, Dieu Ngoc Vo, Khoa Hoang Truong, Thanh Van Tran
Summary: This research aims to define the placement of distributed generations (DGs) in radial distribution networks (RDNs) using Enhanced Search Group Algorithm (ESGA). The study found that operating DGs with optimal power factors significantly improves the performance of RDNs by reducing losses, lowering voltage deviation, and increasing voltage stability. The ESGA method is more effective in solving the optimal DG placement problem compared to other approaches.
Article
Energy & Fuels
Ruotong Wang, Xingmei Li, Chentao Li
Summary: This paper presents a sustainable battery supplier selection framework based on MCDM technique to address uncertainty and ambiguity in decision-making. This framework can assist investors in choosing the most suitable battery supplier for BSS.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Ziqi Wang, Sizu Hou
Summary: It is important for electric vehicles (EVs) to swap their depleted batteries in the appropriate battery swapping stations due to the limited number of fully charged batteries. This study proposes a real-time optimization strategy that recommends an optimal station for EVs based on their swapping request, aiming to save time for EV owners and improve the operational efficiency and stability of battery swapping stations and the distribution network. The strategy combines rolling optimization and Lyapunov optimization from two different time scales, and achieves better results in terms of operational performance and solving speed through simulations.
Article
Energy & Fuels
Xianqiu Zhao, Yongbiao Yang, Minglei Qin, Qingshan Xu
Summary: Battery swapping station is upgraded to a battery charging and swapping station integrated with wind power, photovoltaic power, energy storage and gas turbine, creating a microgrid with enhanced flexibility. An integrated model of batteries based on the state of charge interval is introduced, simplifying the modeling process. A distributionally robust optimization model is presented to optimize the day-ahead dispatch considering uncertainties. Case studies demonstrate the effectiveness of the proposed method.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Alejandro Uribe, Mauricio Fernandez-Montoya, Jhon Vargas, Gilberto Osorio-Gomez, Alejandro Montoya
Summary: Hybrid and electric vehicles are seen as solutions to environmental problems in transportation caused by fossil fuel use. However, there are challenges in terms of battery costs, energy consumption, and charging times. This research proposes a method for estimating battery and charging slot requirements for fleets of hybrid or electric motorcycles using discrete event simulation. The results allow for the identification of a design basis for battery swapping stations, where waiting times stabilize regardless of the number of vehicles in circulation. The study also shows a relationship between the number of batteries, charging slots, and battery cycles, which vary depending on the motorcycle technology.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Adel A. Abou El-Ela, Ragab A. El-Seheimy, Abdullah M. Shaheen, Walaa A. Wahbi, Mohamed T. Mouwafi
Summary: The article proposes a methodology using Equilibrium Optimization algorithm for optimal integration of PV with BES in distribution networks, aiming to achieve maximum economic benefits. The optimization includes consideration of multiple objectives such as cost reduction, investment costs, operational costs, and emissions. Performance analysis is conducted using various optimization algorithms like genetic algorithm, particle swarm optimization, and differential evolution.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Chuantao Wu, Xiangning Lin, Quan Sui, Zhixun Wang, Zhongnan Feng, Zhengtian Li
Summary: This paper proposes a novel battery model based on historical data of regulation signals to address the problems faced by battery swapping stations in the frequency regulation market. Through constructing ambiguity sets of uncertainties and utilizing a two-stage self-scheduling model, the impact of market uncertainties on BSS is effectively addressed.
Article
Computer Science, Artificial Intelligence
A. M. Shaheen, A. M. Elsayed, Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz
Summary: This paper introduces an improved equilibrium optimization algorithm for optimizing distribution networks with distributed generators. The algorithm is tested on 23 standard benchmark functions and is shown to be effective in integrating PDNR and DG simultaneously at different load levels.
APPLIED SOFT COMPUTING
(2021)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.