Article
Energy & Fuels
Xianqiu Zhao, Yongbiao Yang, Qingshan Xu
Summary: This paper proposes a day-ahead robust optimal scheduling strategy for an integrated energy station (IES) that includes scheduling of electricity, cold energy, and heat energy supply, as well as the incorporation of battery exchange service from an electric vehicle exchange station (EVES). An integrated model of EVES based on the state of charge (SOC) interval of batteries is established, and the charging priority of batteries is embedded into the optimal dispatch of IES. A two-stage robust optimization model is formulated to minimize the total operation cost under the worst case, and it can be efficiently solved using the column-and-constraint generation (C&CG) algorithm. The effectiveness of the proposed method is demonstrated in a case study, showing a 9.2% decrease in total operation cost and a reduction in worst-case cost compared to the deterministic approach.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Fatma Gulsen Erdinc
Summary: In this study, a comfort violation minimization oriented energy management strategy is proposed for a standalone EV service station. The strategy aims to minimize the discomfort of EV owners, ensure fairness in energy distribution, and optimize the use of renewable energy sources. Simulation results show the importance of balancing larger component investments and customer dissatisfaction.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Construction & Building Technology
R. Saravanan, S. Kaliappan, V. Jayaprakasan, P. Maniraj
Summary: This paper proposes an intelligent hybrid strategy to address the issue of voltage unbalance considering the higher penetration of electric vehicles and distributed generation. The strategy combines a binary version of equilibrium optimization with the Chaos Net strategy, and is tested and compared with existing methods in MATLAB/Simulink. The results demonstrate the superiority of the proposed technique in terms of PV irradiation and speed, PV and wind power, cost, EV charging demand, and summer and winter voltage.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Automation & Control Systems
Mehrdad Aghamohamadi, Amin Mahmoudi, Mohammed H. Haque
Summary: This article introduces a two-stage adaptive robust optimization (ARO) method for optimal sizing and operation of residential solar photovoltaic systems coupled with battery units. The model is immune to uncertainties and is validated through postevent analysis with 36,500 trial uncertainty scenarios, determining the optimum robustness level while avoiding overly conservative or optimistic solutions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(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
Thermodynamics
Chennaif Mohammed, Maaouane Mohamed, Elhafyani Mohamed Larbi, Bouderbala Manale, Zahboune Hassan, Blaacha Jalal, Smail Zouggar
Summary: The solar Photovoltaic/Battery system is a widely used renewable energy system for electrifying isolated areas. This paper presents an Electric systems Cascade Extended Analysis method to overcome the design and operating challenges of this system. The method includes two algorithms: the first for sizing the system and the second for optimal management. The simulation and experimental results demonstrate the high efficiency of this method in designing and operating Photovoltaic/Battery systems.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Youssef Amry, Elhoussin Elbouchikhi, Franck Le Gall, Mounir Ghogho, Soumia El Hani
Summary: In electric vehicle charging systems, energy storage systems (ESS) are commonly used to supplement solar power and store excess energy. This article explores a hybrid system with a flywheel and PV for an EV workplace charging station. The study investigates the optimal sizing and operational cost of the hybrid system to make it more cost-effective. Comparative studies are carried out for different charging station models in different climate zones to determine the viability and cost-effectiveness of the proposed system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Dariusz Borkowski, Piotr Oramus, Micha l Brzezinka
Summary: Battery energy storage systems (BESS) are a solution to address the negative impact of renewable energy sources (RES) on power systems, and they can improve the profitability of renewables by shifting energy to a higher price interval in the daily market (DM). This study proposes a dedicated control strategy for PV-BESS to maximize the DM revenue. The effectiveness of the algorithm is demonstrated through an example of real 1 MW PV data, showing a significant increase in the rate of return of the energy storage using the additional control mode.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Fabrice Kbidi, Cedric Damour, Dominique Grondin, Mickael Hilairet, Michel Benne
Summary: This paper presents a multistage power and energy management strategy (MSPEMS) for a microgrid with photovoltaic generation, battery energy storage system, fuel cells, and electrolyzers. The interaction between the power management system (PMS) and the energy management system (EMS) is analyzed to improve their effectiveness. The proposed strategy avoids inadequate start-up of the fuel cells and electrolyzers.
Article
Energy & Fuels
Luiz Henrique Meneghetti, Edivan Laercio Carvalho, Emerson Giovani Carati, Gustavo Weber Denardin, Jean Patric da Costa, Carlos Marcelo de Oliveira Stein, Rafael Cardoso
Summary: This paper presents a dispatchable photovoltaic hybrid inverter that tracks output power without relying on the efficiency of the converter and without a power closed loop. The system utilizes a low-voltage battery energy storage system based on a Li-ion battery pack for use in homes and other installations close to the end-user. The proposed control system eliminates the converter's efficiency in the reference equations and includes a disturbance rejection technique for low-frequency current ripple reduction, contributing to the battery's lifespan.
Article
Energy & Fuels
Sandhya Prajapati, E. Fernandez
Summary: The study attempts to estimate the capacity credit of solar PV generation, finding a significant improvement in capacity credit for the considered battery storage range, which can help evaluate the penetration of solar PV in conventional generation systems.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Energy & Fuels
Antonio Venancio M. L. Filho, Andrea S. M. Vasconcelos, Washington de A. S. Junior, Nicolau K. L. Dantas, Ayrlw Maynyson C. Arcanjo, Amanda C. M. Souza, Amanda L. Fernandes, Kaihang Zhang, Kunlin Wu, Jose F. C. Castro, Luiz H. A. de Medeiros, Alexandre M. A. Maciel
Summary: The development of charging stations that integrate photovoltaic systems, energy storage systems, and charging stations has been driven by the growing demand for charging electric vehicles using renewable energy sources and ensuring electrical system stability. This study aims to analyze the impact and criteria of energy quality in a charging solution that includes a photovoltaic system, a storage system, and a charging station based on real operational scenarios. The findings highlight the significant contribution of using lead-carbon batteries in improving energy quality, even in diverse operating situations such as partial shading of photovoltaic modules. The storage system serves as a voltage reference and reference to the microgrid, resulting in a 50% reduction in voltage imbalance and improved charging performance.
Article
Energy & Fuels
Mohammad Rayati, Mokhtar Bozorg, Mauro Carpita, Rachid Cherkaoui
Summary: This paper proposes a scalable stochastic optimization model and a Markov chain-based scenario generation method to benefit from the flexibility of an active distribution network. The optimization variables include the dispatch plan of battery energy storage and photovoltaic systems, as well as the flexibilities given to the transmission network at the point of common coupling. The resulting stochastic optimization problem is solved using freely available convex solvers, and the performance is validated through laboratory tests.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Vandana Jain, Bhim Singh, Seema
Summary: This work presents a charging station with a battery energy storage (BES) system, which enhances the power quality of the grid. The positive sequence components of the grid voltages are evaluated to estimate the unit templates and reference grid currents. The electric vehicle (EV) and BES are connected through a bidirectional buck-boost converter, allowing the EV to take power from the solar array during the daytime and from the grid when the solar power is unavailable. Tests conducted on a hardware prototype demonstrate the satisfactory response of the system under different dynamics conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
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
Engineering, Electrical & Electronic
Nian Liu, Fuqiang Zou, Lingfeng Wang, Cheng Wang, Zhineng Chen, Qifang Chen
ELECTRIC POWER SYSTEMS RESEARCH
(2016)
Article
Energy & Fuels
Nian Liu, Cheng Wang, Xinhao Lin, Jinyong Lei
Article
Energy & Fuels
Wei Fan, Nian Liu, Jianhua Zhang, Jinyong Lei
Article
Energy & Fuels
Nian Liu, Cheng Wang, Minyang Cheng, Jie Wang
Article
Energy & Fuels
Nan Zhou, Nian Liu, Jianhua Zhang, Jinyong Lei
Article
Energy & Fuels
Wei Fan, Nian Liu, Jianhua Zhang
Article
Construction & Building Technology
Li Ma, Nian Liu, Lingfeng Wang, Jianhua Zhang, Jinyong Lei, Zheng Zeng, Cheng Wang, Minyang Cheng
ENERGY AND BUILDINGS
(2016)
Article
Automation & Control Systems
Li Ma, Nian Liu, Jianhua Zhang, Wayes Tushar, Chau Yuen
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2016)
Article
Energy & Fuels
Nian Liu, Minyang Cheng, Li Ma
Article
Automation & Control Systems
Qifang Chen, Nian Liu, Cungang Hu, Lingfeng Wang, Jianhua Zhang
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2017)
Article
Energy & Fuels
Nian Liu, Xinhao Lin, Qifang Chen, Fuqiang Zou, Zheng Chen
JOURNAL OF ENERGY ENGINEERING
(2017)
Article
Energy & Fuels
Nian Liu, Xinhao Lin, Qifang Chen, Fuqiang Zou, Zheng Chen
JOURNAL OF ENERGY ENGINEERING
(2017)
Article
Green & Sustainable Science & Technology
Nian Liu, Minyang Cheng
Article
Chemistry, Multidisciplinary
Nian Liu, Jie Wang
APPLIED SCIENCES-BASEL
(2018)
Article
Energy & Fuels
Vitor N. Coelho, Miri Weiss Cohen, Igor M. Coelho, Nian Liu, Frederico Gadelha Guimaraes
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.
