Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: On-board batteries from electric vehicles can be used as an auxiliary source of energy in domestic installations. Home Energy Management systems are crucial in future smart grids to efficiently use energy in residential applications. However, managing uncertainties caused by intermittent renewable generation, uncertain prices, and behaviors of electric vehicles requires further research. This paper proposes a fully robust Home Energy Management model that accounts for all uncertainties and validates its effectiveness through a case study.
JOURNAL OF ENERGY STORAGE
(2023)
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
Engineering, Electrical & Electronic
Yuanzheng Li, Yihan Cai, Tianyang Zhao, Yun Liu, Jian Wang, Lei Wu, Yong Zhao
Summary: This paper proposes a multi-objective optimal operation method for the centralized battery swap charging system (CBSCS) to enhance economic efficiency and reduce adverse effects on the power grid. The method involves a multi-objective optimization scheduling model that minimizes operation cost and smooths load fluctuations, with modifications to a genetic algorithm for solving the scheduling problem. Simulation studies confirm the effectiveness of the proposed method.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Sayani Seal, Benoit Boulet, Vahid R. Dehkordi, Francois Bouffard, Geza Joos
Summary: This article presents a centralized MPC-based home energy management system (HEMS) that utilizes an electric vehicle (EV) as a mobile energy storage unit. The system controls the zone-based heating system and manages the energy flow among various components including home baseload, home-battery and EV battery charging and discharging, in-house solar energy generation, and storage. A Monte-Carlo based uncertainty analysis is used to evaluate the robustness of the MPC against the randomness in EV arrival and departure schedule. The responsiveness of the centralized MPC is demonstrated through a vehicle to home communication scenario.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Chemistry, Analytical
Min Wang, Modawy Adam Ali Abdalla
Summary: This study proposes an optimal energy management solution for smart homes based on the Jaya algorithm, aiming to reduce electricity costs while meeting household load demand and energy requirements for electric vehicle travel. The simulation results demonstrate significant cost savings by optimizing energy scheduling.
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
R. Saravanan, O. Sobhana, M. Lakshmanan, P. Arulkumar
Summary: This manuscript proposes a hybrid technique, called JSO-RSA method, for the energy management of a battery-based FC electric vehicle system. The method aims to minimize the equivalent consumption by controlling the operational mode, state machine, and dynamic power factor. The proposed method demonstrates high efficiency (90.2%) and low operating cost ($568) compared to existing methods.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Abdelrahman O. Ali, Ahmed M. Hamed, Mohamed M. Abdelsalam, Mohamed Nabil Sabry, Mohamed R. Elmarghany
Summary: The study investigates a grid-connected hybrid power system with an optimal EMS algorithm, which effectively manages energy production, storage, and reduces grid consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Multidisciplinary Sciences
Md Morshed Alam, Md Habibur Rahman, Md Faisal Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
Summary: This article proposes a new model for the energy management system of a home microgrid integrated with a battery energy storage system. The model utilizes deep learning and optimization algorithms to achieve optimal energy distribution and scheduling of the storage system, aiming to reduce the household's daily electricity cost.
SCIENTIFIC REPORTS
(2022)
Review
Energy & Fuels
Furkan Ahmad, Mohd Khalid, Bijaya Ketan Panigrahi
Summary: The growing concern of climate change has led to a focus on sustainable transportation systems, with electric vehicles being seen as a feasible solution. However, commercializing on-road electric vehicles faces challenges such as charging station availability, charging time, and range anxiety. This paper discusses the technological advancements and importance of energy storage systems for electric vehicles.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Economics
Icaro Silvestre Freitas Gomes, Yannick Perez, Emilia Suomalainen
Summary: The study investigates the impact of different retail tariff designs on private investment incentives and cost-shifting in a Californian scenario, focusing on solar PVs, stationary batteries, and electric vehicles. It suggests that a shift towards coincident peak tariffs in the short term and capacity-based tariffs in the long run could alleviate cost-shifting caused by strong DER penetration.
Article
Energy & Fuels
Niphon Kaewdornhan, Chitchai Srithapon, Rittichai Liemthong, Rongrit Chatthaworn
Summary: This paper proposes a real-time multi-home energy management system that utilizes multi-agent deep reinforcement learning optimization to schedule EV charging, aiming to reduce the electricity expense of prosumers. Simulation results show that it can significantly reduce mean power consumption and decrease costs for prosumers while generating higher revenue for the aggregator.
Article
Thermodynamics
Xiao Xu, Weihao Hu, Wen Liu, Yuefang Du, Rui Huang, Qi Huang, Zhe Chen
Summary: This study introduces a novel and cost-effective power supply system for commercial buildings, along with an energy management strategy and models for two types of electric vehicles. Results show that integrating photovoltaic (PV) energy and retired electric vehicle batteries (REVBs) can significantly reduce operational costs for commercial buildings.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Wei Wang, Yan Li, Man Shi, Yuling Song
Summary: By combining the advantages of battery and flywheel systems, mathematical models for a battery-flywheel compound energy storage system were established. An energy optimization method based on GA and a double neural networks-based adaptive PI vector control method were proposed to optimize energy recovery, current distribution, and flywheel motor speed regulation, improving overall energy efficiency and system stability.
Article
Engineering, Electrical & Electronic
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Da Huo, Shuang Cheng
Summary: This paper proposes an integrated battery life loss modeling and anti-aging energy management method for improving the total economy of battery energy storage systems in electric vehicles. A multifactorial battery life loss quantification model is established by capturing aging characteristics from cell acceleration aging tests. Two active anti-aging vehicle energy management models are designed, where the battery life loss quantification model is used to generate the aging cost feedback signals.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Chemistry, Physical
Sihem Nasri, Ben Slama Sami, Adnane Cherif
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2016)
Article
Chemistry, Physical
Ben Slama Sami, Nasri Sihem, Bassani Zafar, Cherif Adnane
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2017)
Article
Chemistry, Physical
Sihem Nasri, Sami Ben Slama, Imene Yahyaoui, Bassani Zafar, Adnane Cherif
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2017)
Article
Chemistry, Physical
Ben Slama Sami, Nasri Sihem, Zafar Bassam
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2018)
Article
Energy & Fuels
Benslama Sami, Nasri Sihem, Salsabil Gherairi, Cherif Adnane
Editorial Material
Nanoscience & Nanotechnology
Nour F. Attia, Slama Sami, Sally E. A. Elashery, Jamal Siddiqui
JOURNAL OF NANOMATERIALS
(2020)
Review
Engineering, Multidisciplinary
Sami Ben Slama
Summary: Smart Grid technology is efficient in solving energy demand, storage, and power transmission. The integration of IoT technology in Smart Grids is critical for digitization and efficient performance. Edge Computing addresses the challenge of big data in IoT by processing data close to linked sensors. This paper reviews edge computing solutions for the Smart Grid and discusses information/digital technologies and AI scheduling techniques in the Prosumer smart Grid.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Chemistry, Analytical
Ohoud Almughram, Sami Ben Slama, Bassam Zafar
Summary: This article investigates the integration of V2H centralized photovoltaic systems and proposes an HCPV scheduling algorithm to improve energy sustainability in smart homes. A multi-agent system ensures proper system operation and meets the power requirements of various devices. Experimental results demonstrate the potential benefits of V2H technology as a unit storage solution.
Review
Chemistry, Analytical
Bassam Zafar, Sami Ben Slama
Summary: The concepts of Energy Internet and Smart Grid 2.0 pose potential challenges in industry and research. Blockchain technology can improve the decentralization of Smart Grid 2.0 and enhance transparency and overall performance in energy trading.
Article
Computer Science, Information Systems
Ben Slama Sami
Article
Computer Science, Theory & Methods
Bassam Zafar, Ben Slama Sami, Sihem Nasri, Marwan Mahmoud
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2019)
Article
Biotechnology & Applied Microbiology
Nasri Sihem, Ben Slama Sami, Zafar Bassam, Cherif Adnen
BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS
(2019)
Article
Energy & Fuels
Slama Sami, Sihem Nasri, Bassam Zafar, Adnane Cherif
INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING
(2017)
Article
Computer Science, Theory & Methods
Sihem Nasri, Bassam Zafar, Sami Ben Slama, Adnan Cherif
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2017)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
