Article
Computer Science, Information Systems
Tong Li, Hai Zhao, Shihao Wang, Chao Yang, Bonan Huang
Summary: This paper introduces a new data integrity attack strategy for consistent energy management algorithm in electric vehicles and proposes a disturbance rejection control strategy combining privacy protection protocols and an isolation mechanism. The effectiveness of the proposed encryption mechanism is analyzed and the feasibility of the isolation control algorithm is verified through simulation and comparison.
Article
Construction & Building Technology
Siqian Zheng, Gongsheng Huang, Alvin C. K. Lai
Summary: This study investigates coordinated energy management for a neighborhood with distributed renewables, stationary batteries, and plug-in electric vehicles (EVs). The energy sharing system with centralized control of mobile and stationary storages outperforms the collaborative control of EV and stationary storages at single prosumers in terms of techno-economic performance. Case studies show that the renewables-storage sharing system with centralized storage scheduling reduces annual energy costs for both buildings and EV owners by over 15% and decreases the cycle aging cost of stationary storage by 25%. This study explores potential coordinated approaches to maximize operational value and improve grid stability in communities with low-carbon buildings, flexible storages, and intelligent infrastructure.
ENERGY AND BUILDINGS
(2023)
Article
Engineering, Electrical & Electronic
Hui Ren, Aiwei Zhang, Fei Wang, Xihui Yan, Yu Li, Neven Duic, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: The electric vehicle, when managed by an aggregator, is a suitable candidate for participating in demand response in power system operation. An optimal scheduling algorithm is necessary to maximize the aggregator's benefit, considering the benefits of distribution system, aggregator, and EV users. This study defines the benefits of the three parties and tests the optimal scheduling system to analyze the impact of aggregator facilities, technology, and operation mode on the benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Muhammad Waseem Khan, Jie Wang
Summary: This paper proposes a multi-agents based optimal energy scheduling technique at microgrid level, using distributed resource management and linear programming to address actual grid uncertainties and electric vehicle states.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Asaad Mohammad, Ramon Zamora, Tek Tjing Lie
Summary: This article introduces a transactive energy management system for commercial parking lots to balance charging demand with supply and achieve cost savings up to 12.09% through a double-sided auction bidding mechanism.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Khoshjahan, Mladen Kezunovic
Summary: This paper proposes a bidding strategy model for distributed prosumer aggregator participation in the real-time market (RTM) considering both energy and flexiramp. The model determines the optimal energy and reserve product to trade in the day-ahead market and obtains optimal amounts of energy and flexiramp in the RTM through a multi-level price-quantity energy bidding strategy. Simulation results show the effectiveness of the proposed framework in gaining profits from the wholesale market.
ELECTRIC POWER SYSTEMS RESEARCH
(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
Environmental Studies
Polina Alexeenko, Eilyan Bitar
Summary: We conducted a real-world pilot study to investigate a new pricing and control mechanism for coordinating residential EV charging loads. The mechanism offers EV owners a range of pricing options based on their willingness to delay their charging completion times. By optimizing the real-time power drawn by EVs, a smart charging system minimizes strain on the grid while ensuring all EVs are charged by user-requested deadlines. Our findings show that, on average, customers were willing to delay their charging by over eight hours, allowing the smart charging system to flatten the aggregate load curve and eliminate demand spikes. Importantly, customer participation rates remained stable throughout the study, indicating the viability of this mechanism as a non-wires alternative to meet the increasing electricity demand from EVs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
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
Engineering, Civil
Xiaoyu Duan, Zechun Hu, Yonghua Song
Summary: This paper investigates bidding strategies in both energy and reserve markets for an aggregator of multiple fast charging stations with energy storage systems to hedge the risks of random charging demands and volatile market prices, converting the proposed formulation into a linear programming problem and designing an iterative solution method to reduce computation time. Case studies based on trajectory data of taxis in Beijing demonstrate that the aggregator can achieve higher economic benefits while satisfying the fast charging demand of electric vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Baixi Lai, Ping Yi, Yu Sui, Qingquan Zhang
Summary: The paper examines how to keep the EV energy network operating normally for as long as possible during energy shortages, proposes a global optimization algorithm, and validates it through simulations using real bus line data.
Article
Engineering, Electrical & Electronic
M. Abul Masrur
Summary: While HEV/EV technology is mature and widely used, there is a lack of literature on its application for off-road vehicles and nonautomotive purposes. This article introduces the current status of the technology and discusses the decision-making process required before its implementation in these areas.
PROCEEDINGS OF THE IEEE
(2021)
Article
Computer Science, Information Systems
Haneul Ko, Taeyun Kim, Daeyoung Jung, Sangheon Pack
Summary: In this article, a software-defined EV-to-EV charging framework with mobile aggregators is proposed to solve the matching problem of charging and discharging EVs. The charging controller determines the charging location, monetary cost, and reward based on the collected information in a global view, aiming at maximizing the revenue of the operator. A highly acceptable pair decision algorithm is proposed as a practical solution, which achieves up to 129% revenue growth while maintaining the waiting time below a certain level according to extensive simulation results.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Anekant Jain, Krishna Kumar Gupta, Sanjay K. Jain, Pallavee Bhatnagar
Summary: A five-level rectifier topology with self-balanced switched capacitors is proposed for EV battery charging applications, showing advantages such as wide output regulation and bidirectional power flow for vehicle-to-grid systems. Experimental results validate the feasibility of the proposed topology and its advantages for electric vehicle battery charging.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Cormac O'Malley, Luis Badesa, Fei Teng, Goran Strbac
Summary: Fast frequency response (FR) is important in low-inertia systems to maintain frequency dynamics after a generator outage. This paper explores the potential of utilizing electric vehicles (EVs) with vehicle-to-grid (V2G) chargers as a source of FR. The uncertainty associated with V2G aggregation, caused by the unknown number of connected EVs during an outage, is addressed by incorporating it into the system's frequency dynamics. Field data from over 25,000 chargers is analyzed to evaluate the value of FR from V2G chargers in the GB 2030 system. The study shows that managing the uncertainty of EV connections through a proposed scheduling framework results in significant cost and carbon savings.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Review
Energy & Fuels
Tirupati Uttamrao Solanke, Vigna K. Ramachandaramurthy, Jia Ying Yong, Jagadeesh Pasupuleti, Padmanathan Kasinathan, Arul Rajagopalan
JOURNAL OF ENERGY STORAGE
(2020)
Review
Energy & Fuels
Azri H. Hasani, Muhamad Mansor, Vigna Kumaran, Ahmad W. M. Zuhdi, Yong J. Ying, Mahammad Abdul Hannan, Fazrena A. Hamid, Muhamad S. A. Rahman, Nur A. Salim
Summary: This article discusses the importance of safe and reliable operation of lithium-ion batteries in microgrids, emphasizing the sensitivity of batteries to temperature and its effects on performance. A hybrid battery thermal management system that combines heat pipe cooling and solid-state cooling is proposed as an effective solution for controlling battery operating temperature and improving battery life.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Suleiman B. Sani, Pragash Celvakumaran, Vigna K. Ramachandaramurthy, Sara Walker, Bakhtiar Alrazi, Yong Jia Ying, Nofri Yenita Dahlan, Mohd Hazwan Abdul Rahman
JOURNAL OF ENERGY STORAGE
(2020)
Article
Engineering, Electrical & Electronic
Affiq A. Ghani, Vigna K. Ramachandaramurthy, Jia Ying Yong
Summary: This paper discusses a case study of a typical Malaysian 11-kV industrial system with renewable energy sources and an electric vehicle charging station. The integration of renewable energy sources reduces energy consumption from the grid and greenhouse gas emissions, but lowers the industry's power factor. The paper proposes a simple and cost-effective design of a master power factor controller to regulate the industry's power factor to an intended value.
ELECTRICAL ENGINEERING
(2022)
Review
Energy & Fuels
Haider Jouma Touma, Muhamad Mansor, Muhamad Safwan Abd Rahman, Vigna Kumaran, Hazlie Bin Mokhlis, Yong Jia Ying, M. A. Hannan
Summary: The article discusses demand side management in microgrids, particularly pricing techniques, to achieve economic, environmental, and reliable objectives of energy management system. It also explores control schemes including centralized and distributed controls, identifies some shortcomings in current research regarding demand side management, and highlights future research directions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Kang Miao Tan, Vigna K. Ramachandaramurthy, Jia Ying Yong, Mohd Tariq
Summary: This study designed a Vehicle-to-Grid (V2G) charger with various functions such as charging/discharging, power factor control, and DC-link voltage control. The highlight of this charger is its flexibility in accurately controlling the charging/discharging power of the Electric Vehicle (EV) battery to reduce grid load variance. The control strategies were successfully implemented and validated through a 1 kVA V2G charger prototype, demonstrating effective management of charging/discharging power and prevention of overcharging/discharging of the EV battery.
Article
Energy & Fuels
Mohd Syahmi Hashim, Jia Ying Yong, Vigna K. Ramachandaramurthy, Kang Miao Tan, Muhamad Mansor, Mohd Tariq
Summary: This study presents a new method to minimize grid load variance by optimizing the scheduling of electric vehicles to the power grid, which can operate in three different modes to enhance power system reliability.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Energy & Fuels
Kang Miao Tan, Thanikanti Sudhakar Babu, Vigna K. Ramachandaramurthy, Padmanathan Kasinathan, Sunil G. Solanki, Shangari K. Raveendran
Summary: The rapid growth in the usage and development of renewable energy sources in the present day electrical grid necessitates the use of energy storage technologies to mitigate intermittent power discrepancies. These technologies stabilize power production and energy demand by storing excess energy for use when needed. Researchers and industrial experts have explored various energy storage technologies by integrating different renewable energy sources into storage systems, with the potential for energy storage systems to become the primary electricity sources in future electric grids.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Computer Science, Information Systems
Vigna K. Ramachandaramurthy, Aidha Muhammad Ajmal, Padmanathan Kasinathan, Kang Miao Tan, Jia Ying Yong, R. Vinoth
Summary: This paper provides a comprehensive review of studies on consumer preferences for electric vehicles (EVs), aiming to inform policy-makers and guide further research. The main obstacles that limit the social acceptance of EVs, such as driving obstacles, charging obstacles, and consumer willingness-to-pay, are discussed. Additionally, mitigation strategies are outlined as recommendations for promoting better EV deployment.
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
