Article
Energy & Fuels
Musik Park, Zhiyuan Wang, Lanyu Li, Xiaonan Wang
Summary: With increasing concerns over carbon dioxide emissions, the concept of Zero Energy Building (ZEB) and Electric Vehicles (EVs) have emerged to address environmental issues. This paper develops a new framework to find the optimal energy system design that meets EV charging demand and ZEB requirements, using machine learning models to predict charging demand and Genetic Algorithm and PROBID method to optimize costs and self-sufficiency ratio. The study finds that EV charging demand significantly affects energy system design, especially in small-size buildings.
Article
Automation & Control Systems
Jayant Sharma, Chinnayan Karuppaiyah Sundarabalan, Chelladurai Balasundar, Srinath Nangavaram Santhanam, Josep M. Guerrero
Summary: Plug-in electric vehicles are considered a step forward in electrifying transportation, but the development of charging infrastructure is necessary to ensure consistent and efficient charging. This article presents an application of a grid-connected EV charger powered by a solar photovoltaic array, offering distortion-free charging 24/7. The proposed system meets IEEE-519 standards.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(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
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)
Article
Automation & Control Systems
Nader A. El-Taweel, Hany Farag, Mostafa F. Shaaban, Michel E. AlSharidah
Summary: This article proposes a new mathematical model for optimizing the operation scheduling of a remote photovoltaic farm and distributed electric vehicle charging stations. The model aims to maximize the profit of the private investors, while ensuring low charging prices and customer satisfaction. The article also considers the impact of a remote PV farm on revenue and charging prices, as well as the opportunity for charging stations to provide additional ancillary services.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Energy & Fuels
Kalash Srivastava, Shailendra Kumar, Rakesh Maurya
Summary: The demand for high-quality charging infrastructure is increasing due to the rising number of electric vehicles. Solar energy-based charging stations are expected to grow as non-conventional and distributed energy sources gain more importance. This paper introduces a multifunctional solar photovoltaic based charging station with EV battery energy storage, which improves the viability and reliability of the station. The voltage source converter provides harmonic mitigation, reactive power compensation, and power factor correction, while the adaptive filtering approach minimizes errors and enhances dynamic response.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Multidisciplinary
Ibham Veza, Muhammad Zacky Asy, M. Idris, Vorathin Epin, I. M. Rizwanul Fattah, Martin Spraggon
Summary: This study analyzes the environmental and economic implications of different types of vehicles and compares their viability in terms of emission costs, fueling time costs, maintenance costs, and vehicle selection. The research indicates that electric vehicles (EVs) have the lowest CO and CO2 emissions but higher NOx, N2O, SOx, and PM10 emissions compared to other vehicle types. Despite their higher selling prices and emission costs, EVs have the lowest maintenance costs. Hybrid electric vehicles (HEVs) present the most balanced combination of selling price, emission cost, and maintenance cost. This study provides valuable insights for policymakers, automotive manufacturers, and consumers in transitioning towards more sustainable transportation solutions.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Dongxiang Yan, Yue Chen
Summary: This paper proposes a distributed online algorithm to address the supply-demand mismatch of electric vehicle charging stations caused by fluctuating renewable generation and unpredictable charging demands. The algorithm operates in a prediction-free manner and properly satisfies time-coupling constraints. It also provides a theoretical bound for the optimality gap between offline and online solutions. Additionally, an improved ADMM algorithm is proposed for distributed computation, ensuring privacy protection and online implementation. Case studies validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Review
Energy & Fuels
Jiashu Kong, Yitong Dong, Aravind Poshnath, Behzad Rismanchi, Pow-Seng Yap
Summary: This paper provides a detailed assessment of building integrated photovoltaic (BIPV) technology in net-zero energy buildings (NZEBs), emphasizing the importance of factors such as building surface area to volume ratio, window-wall ratio, and solar heating gain coefficient. The study concludes that NZEBs use renewable energy for energy efficiency and carbon neutrality, but face limitations such as neglecting indoor conditions, thermal comfort, and a lack of energy supply monitoring. Combining BIPV with building integrated solar thermal can enhance outcomes, and BIPV designs should follow standards and learn from successful cases, while long-term reliability and structural integrity studies are imperative.
Article
Energy & Fuels
Yangqing Dan, Shuran Liu, Yanwei Zhu, Hailian Xie
Summary: This paper focuses on the tertiary control strategy for dynamic state operation in integrated charging stations. Four energy management functions are proposed and their performance is verified by simulations. Sensitivity analysis is conducted for three parameters, indicating the impact of ES battery capacity and weather condition on operational cost.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Ke Shi, Chunsen Tang, Zhihui Wang, Xiaofei Li, Yuanzhao Zhou, Yingjun Fei
Summary: This article proposes a magnetic integrated method for the coupler of the electric vehicle dynamic wireless charging system to suppress power fluctuation. The method replaces the original single mutual inductance with the mutual inductance difference between the two reverse series transmitting coils and the receiving coil to determine the power transmission, which suppresses output power fluctuation. Additionally, the secondary-side integrated inductor coil replaces the bulky external compensation inductor in the LCC resonance compensation network and achieves better zero-voltage switching conditions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang
Summary: This paper presents an efficient and scalable real-time scheduling method for handling the charging demands of plug-in electric vehicles (PEV), demonstrating through simulations that the proposed method provides high computation efficiency and scalability while reducing operating costs for charging stations. Compared to existing methods, it outperforms in terms of charging policy search capabilities and performance guarantee.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Chemistry, Multidisciplinary
Hojun Jin, Sangkeum Lee, Sarvar Hussain Nengroo, Dongsoo Har
Summary: This study proposes a power management scheme for interdependent microgrid and electric vehicle fleets, assisted by a novel charging/discharging scheduling algorithm. The scheme maximizes the utilization of electric vehicle charging/discharging while minimizing operating costs through multi-objective optimization. It also establishes a more economical and energy-efficient PV-based charging station.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Jianwei Li, Shucheng He, Qingqing Yang, Tianyi Ma, Zhongbao Wei
Summary: This article proposes a multi-objective sizing method that integrates retired batteries and photovoltaic solar energy in electric vehicle charging stations to address uncertainty in charging demand. The method utilizes the non-dominated sorting genetic algorithm II (NSGA-II) to minimize renewable energy waste, energy purchased from the grid, and the cost over a 20-year period. The article also predicts the remaining life of retired batteries using a calendar-life degradation model and incorporates different charging patterns to model charging demand uncertainty in different EVCS scenarios. Case studies using real-world data demonstrate a 29.4% cost reduction in long-term operation with the proposed sizing method and retired batteries.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Economics
Arthur J. Caplan
Summary: This paper explores the coopetitive relationship between a private firm and a utility in the EV charging-station market. The utility chooses to self-regulate in order to continue earning revenue from selling electricity to the firm's charging stations. The study also examines the conditions under which the utility does not decrease its mark-up rate in response to increased market demand for EV charging, as well as when a regulator may choose a lower mark-up rate than the utility.
ECONOMIC MODELLING
(2023)
Article
Thermodynamics
G. Barone, A. Buonomano, V. Palmieri, A. Palombo
Summary: This paper focuses on the design and optimization of a high-vacuum integrated collector storage solar water heater, which aims to enhance energy performance by maintaining low pressure and applying special coating. Experimental results show that the device has achieved positive outcomes in terms of energy savings and CO2 emission reduction.
Article
Thermodynamics
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Massimo Dentice d'Accadia, Maria Vicidomini
Summary: In the field of primary energy saving, biomethane is increasingly attractive due to the need to manage urban waste and the increasing use of biofuels for sustainability objectives. A thermal transient model developed in MATLAB (R) accurately predicts heat transfer and biological phenomena in an anaerobic digester. The model considers the thermal inertia of the biomass and is linked to the TRNSYS environment for biogas upgrading. Integration of renewables with anaerobic digestion shows significant results, with a 20% overestimation of biogas production when neglecting the thermal inertia of the digester. The primary energy saving in this case study is approximately 5% and the simple payback is less than 10 years.
Article
Green & Sustainable Science & Technology
Luis Gabriel Gesteira, Javier Uche, Francesco Liberato Cappiello, Luca Cimmino
Summary: This paper presents a thermoeconomic analysis of a polygeneration system that combines solar-assisted desiccant cooling with other energy production and supply functions for a residential building. The system's optimal design and performance were determined through modeling and simulation, followed by a sensitivity analysis of the impact of energy costs on the system's payback period. The results showed promising energy efficiency and cost-effectiveness, with potential for significant reductions in payback period depending on variations in energy costs.
Article
Energy & Fuels
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Marialuisa Napolitano, Maria Vicidomini
Summary: In this study, the production of biogas from the organic fraction of municipal solid waste is analyzed. A new simulation model is developed to predict the temperature field and assess how it affects the growth and decay of microbial species. The plant is designed to integrate solar thermal energy and photovoltaic fields to meet the energy demand and reduce environmental impact and economic costs.
Review
Energy & Fuels
Krzysztof Sornek, Karolina Papis-Fraczek, Francesco Calise, Francesco Liberato Cappiello, Maria Vicidomini
Summary: Nowadays, a significant portion of energy consumption is used in buildings, with heating/cooling systems, lighting, and other appliances being the main contributors. Renewable energy solutions, such as active and passive solar installations, are being promoted to improve energy efficiency. This paper reviews research on Trombe walls, including their different variations and their potential to reduce energy consumption and enhance thermal comfort. The findings suggest that the application of thermal storage walls can lead to lower emissions of greenhouse gases and improved living standards, but further feasibility studies are needed.
Article
Thermodynamics
Giovanni Barone, Annamaria Buonomano, Giovanni Francesco Giuzio, Adolfo Palombo
Summary: The purpose of this paper is to develop a simulation model for assessing and optimizing the cooling performance of new/existing infrastructures from an energy perspective. By optimizing the free cooling operation and thermal insulation, the cooling energy consumption can be decreased by 80% and 10% respectively.
Article
Construction & Building Technology
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Maria Vicidomini
Summary: The European Union is facing an energy crisis due to the increased natural gas cost caused by the Russian-Ukrainian war. The fair allocation of natural gas costs for residential centralized heating systems is becoming crucial, as these systems suffer from heat theft phenomenon. This study proposes two novel billing strategies to address this issue.
ENERGY AND BUILDINGS
(2023)
Article
Green & Sustainable Science & Technology
G. Barone, A. Buonomano, C. Forzano, G. F. Giuzio, A. Palombo, G. Russo
Summary: Indoor thermal comfort is an important aspect of building design. The existing standards fail to consider the thermal adaptability of the human body, leading to misleading energy consumption and system sizing. To address these issues, a physiological thermal comfort model is developed to evaluate the dynamic variation of physiological parameters and occupants' thermal sensation. This model is implemented in a building energy simulation tool to propose dynamic control strategies for thermo-hygrometric parameters and heating/cooling demands, resulting in higher energy consumption but improved comfort for occupants compared to traditional set-point values.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Thermodynamics
Giovanni Barone, Annamaria Buonomano, Gianluca Del Papa, Robert Maka, Adolfo Palombo
Summary: This paper presents a novel dynamic simulation model to improve the sustainability of transportation systems equipped with diesel co-generators. The model determines the best operation/combination of generators and their optimal part load ratio in each simulation time step to minimize fuel consumption. The model takes into account the size of each installed diesel generator, number of engines, required power profile, route scheduling, and hourly weather data. The simulation results demonstrate significant energy savings and reduction in fuel consumption and CO2 emissions.
Article
Green & Sustainable Science & Technology
A. Buonomano, C. Forzano, G. F. Giuzio, A. Palombo
Summary: The Covid-19 outbreak has highlighted the importance of indoor air quality in buildings. This research aims to assess the adequacy of current ventilation standards and provide guidelines for HVAC systems design and operation in a post-Covid-19 scenario. The analysis combines Building Energy Modelling (BEM) and virus contagion risk assessment.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Green & Sustainable Science & Technology
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Massimo Dentice d'Accadia, Maria Vicidomini
Summary: This article discusses the analysis of a smart energy network, which includes photovoltaic panels, electric energy storage systems, heat pumps, and electric vehicles. The simulation and dynamic modeling of these systems show promising results in terms of energy saving and payback period.
Article
Green & Sustainable Science & Technology
Giovanni Barone, Annamaria Buonomano, Cesare Forzano, Adolfo Palombo
Summary: This paper aims to optimize the energy performance of an innovative integrated collector-storage solar water heater (ICSSWH) prototype. The system incorporates a high-vacuum gap and a serpentine absorber system coated with a low-E layer, which reduces convective and radiative thermal losses. A detailed dynamic simulation model is used to identify influential parameters and conduct optimization to maximize/minimize objective functions.
Article
Chemistry, Multidisciplinary
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Maria Vicidomini
Summary: This paper focuses on the design and dynamic modelling of a greenhouse integrated with renewable energy technologies, aiming to achieve a hybrid renewable energy plant as an optimal solution in the context of a green farm. The studied technologies include PV panels, solar thermal collectors, and a biomass auxiliary heater. The system is also connected to a pyrogasifier, which is supplied by wood and agricultural waste to promote a biocircular economic approach. Various analyses are performed, including energy, economic, and environmental evaluations, revealing the significant reduction of CO2 emissions and profitability of the investigated renewable plant.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino, Massimo Dentice d'Accadia, Maria Vicidomini
Summary: This study assesses an innovative paradigm that combines the environmental impact of the road transport sector with the management of organic waste to achieve full decarbonisation of the sector. The proposed technology includes an anaerobic digestion plant coupled with a biogas upgrading unit for biomethane production, as well as photovoltaic panels and solar thermal collectors for renewable energy generation. Results show high energy self-sufficiency, a 45% reduction in energy dependence, and significant environmental and economic benefits.
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.