Review
Engineering, Electrical & Electronic
P. Stefanidou-Voziki, N. Sapountzoglou, B. Raison, J. L. Dominguez-Garcia
Summary: This article reviews fault location and fault classification methods for both medium-voltage and low-voltage distribution grids. The advantages and disadvantages of each method are analyzed, and research trends and state-of-the-art methods are compared. Research gaps are also identified.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Review
Chemistry, Physical
Yanyun Fan, Lei Zhang, Dachao Li, Zhonglin Wang
Summary: Power metaverse and smart grids are the future of power systems, using massive distributed sensors with various features for electricity data acquisition. Recent interdisciplinary convergence of technologies has led to significant breakthroughs in self-powered, micro sensors. While there have been summaries in other fields, there is currently no relevant review paper for power grids. This paper reviews the progress and practical applications of self-powered, multi-parameter and micro sensor technologies in power metaverse and smart grids, discussing energy harvesting methods, challenges, and future perspectives.
Article
Telecommunications
Francesco Buccafurri, Gianluca Lax, Lorenzo Musarella, Antonia Russo
Summary: The demand for a flexible, dynamic, and decentralized energy market has grown rapidly in recent years. Automation of operations in Industry 4.0 and Smart Grids aims to bring consumers and producers closer, leading to solutions that harness the power of public blockchain in designing transparent and efficient markets. However, the exposure of personal information on the network poses a significant threat to privacy. In this paper, we propose a solution for energy trading using Ethereum blockchain and Smart Contracts, which ensures privacy by not disclosing the identities of network peers in advance.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Environmental Sciences
Benjamin K. Sovacool, Andrew Hook, Siddharth Sareen, Frank W. Geels
Summary: Smart electricity meters are a key component of future smart grids and play a significant role in household energy transitions, with a projected growth rate of over 3000% in the past decade. This study examines the deployment of smart meters globally, identifying weak points in the literature and noting that national-scale programs, particularly in countries like China, install smart meters more affordably than subnational programs. While smart meters are complementary to existing practices in the electricity sector, they may not be as transformative or disruptive as initially expected.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2021)
Review
Energy & Fuels
Jorge De La Cruz, Eduardo Gomez-Luna, Majid Ali, Juan C. Vasquez, Josep M. Guerrero
Summary: Thanks to smart grids, more intelligent devices can now be integrated into the electric grid, increasing its robustness and resilience. The integration of distributed energy resources requires communication systems and interconnected technologies for monitoring, protection, and control. Fault location and diagnosis are crucial for the secure operation of these systems, and this study analyzes fault location issues and common power failures in physical components and communication infrastructure. The study also explores fault location techniques and methods recommended to improve resilience in the smart grid's distribution sector.
Article
Engineering, Electrical & Electronic
Lilan Liu, Zhizhong Zhang, Ning Wang, Haijun Zhang, Yu Zhang
Summary: This paper investigates the long-term average total energy cost minimization problem in Heterogeneous Cellular Networks powered by Grid-connected Smart Micro Grids. The proposed CAORM algorithm outperforms benchmarks in reducing total energy cost and making appropriate decisions according to different unit costs of renewable energy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Construction & Building Technology
Marco Pritoni, Guanjin Lin, Yimin Chen, Raphael Vitti, Christopher Weyandt, Jessica Granderson
Summary: This paper presents a field study on the implementation of fault auto-correction algorithms in commercial FDD platforms. Through testing in multiple buildings and different systems, it successfully achieves automatic fault correction and improves the operation of HVAC systems.
BUILDING AND ENVIRONMENT
(2022)
Article
Business
Xudong Hong, Shengnan Wu, Xueliang Zhang
Summary: This study uses micro data from the China Family Panel Studies to examine the impact of clean energy on alleviating energy poverty. The findings show that the widespread use of clean energy can significantly reduce the possibility of falling into energy poverty. The study also finds that clean energy has a significant promoting effect on female respondents and can contribute to reducing household medical expenditure.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Information Systems
Xiaojun Zhang, Wei Tang, Dawu Gu, Yuan Zhang, Jingting Xue, Xin Wang
Summary: In this article, a lightweight multidimensional encryption data aggregation (MD-EDA) scheme is proposed to protect user privacy and reduce computation and communication overhead. The scheme utilizes fog nodes for data verification and aggregation, and employs the Shamir secret-sharing technique for transmission fault tolerance.
IEEE SYSTEMS JOURNAL
(2022)
Article
Thermodynamics
H. Terfa, L. Baghli, R. Bhandari
Summary: This research proposes using distributed renewable energy micro-power plants to provide electricity in African countries. The laboratory is developing four types of micro-power plants, including wind turbine emulators and photovoltaic systems. The data flow between the micro-power plants and the simulated power grid is ensured through the use of embedded processors and a Firebase database.
Article
Computer Science, Artificial Intelligence
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
Summary: In the field of electrical grids, fault diagnosis is critical but often lacks interpretability. This paper proposes a spectrogram-convolutional neural network approach for representing electrical signals, using pre-trained models for multiple fault classification tasks and providing visual interpretation of the results to enhance transparency.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Thermodynamics
Muhammed Iberia Aydin, Ibrahim Dincer
Summary: This study evaluates the feasibility of renewable and nuclear-based hydrogen production methods through a life cycle impact analysis and investigates the environmental effects of using hydrogen to power fuel cell electric buses. The results show that the Cu-Cl cycle is the most environmentally friendly method of hydrogen production, and electrolysis methods also outperform conventional hydrogen production. Fuel cell electric buses utilizing hydrogen from clean energy sources have lower emissions compared to diesel buses.
Review
Energy & Fuels
Wadim Strielkowski, Andrey Vlasov, Kirill Selivanov, Konstantin Muraviev, Vadim Shakhnov
Summary: The use of machine learning and data-driven methods in predictive analysis of power systems has the potential to accurately predict and manage system behavior by utilizing large volumes of data. These methods have gained significant attention due to their ability to handle large amounts of data and make accurate predictions. With the transformation to smart grids that integrate high-renewables electricity systems, the importance of these methods has increased, but they also face challenges in handling intermittent renewable energy generation and fluctuating weather conditions.
Article
Energy & Fuels
Daniel Cardoso, Daniel Nunes, Joao Faria, Paulo Fael, Pedro D. Gaspar
Summary: This paper proposes an optimization approach for integrating internal combustion engines into residential grids to address power demand failures caused by intermittent renewable energy sources. The approach leverages machine learning techniques, control strategies, and grid data to improve system flexibility and efficiency. The effectiveness of the proposed solution is validated through simulations, demonstrating its ability to efficiently meet high electricity and hot water demand periods while mitigating power demand failures from renewable energy sources. This research presents a novel approach that can significantly improve grid resilience, energy efficiency, and renewable energy integration in residential grids.
Article
Green & Sustainable Science & Technology
Anh Tuan Hoang, Van Viet Pham, Xuan Phuong Nguyen
Summary: Renewable energy plays a vital role in smart cities by reducing pollution and improving living environment quality. Designing energy systems based on clean and renewable standards is considered a sustainable solution for smart cities.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Weiqiang Chen, Lingyi Zhang, Pattipati Krishna, Ali M. Bazzi, Shailesh Joshi, Ercan M. Dede
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Weiqiang Chen, Ali Bazzi
Summary: This article introduces a model-based voltage quality analysis and optimization method for post-fault reconfigured N-level Neutral Point Clamped (NPC) inverter, aiming to address the significant degradation of voltage quality in post-fault reconfigured multilevel inverters (MLIs) which may impact critical applications. By reviewing existing voltage quality and mathematical analyses of MLIs, a suitable mathematical model for N-level NPC inverter is proposed in order to accurately describe its voltage quality. An optimization method is also introduced based on the accurate mathematical model to alleviate the voltage quality degradation issue in post-fault reconfigured N-level NPC inverter.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Muhammed Ali Gultekin, Zhe Zhang, Ali Bazzi
Summary: This study utilizes a data-driven method, DMDc, to model faulty behavior of an inverter-fed induction machine. Results demonstrate the algorithm's ability to accurately predict system behavior, independent of system parameters. The model shows promise for data-driven fault diagnostics and system modeling.
2021 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Muhammed Ali Gultekin, Qian Yang, Ali Bazzi, Krishna Pattipati, Shailesh Joshi, Muhamed Farooq, Hiroshi Ukegawa
Summary: This paper investigates the degradation of on-state resistance and gate-to-source capacitance in Si MOSFETs using two different test methods. The results show that degradation occurs regardless of the method used, with a gradual increase in impedance over time.
2021 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Abbas Hassan, Ali Bazzi
Summary: This paper discusses an adaptive loss minimization technique for induction motor drive systems, using an extended Kalman filter to estimate the torque and rotor speed values required to minimize the overall system loss. Additionally, the effects of parameter uncertainty on the performance of the loss minimization technique are analyzed.
2021 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC)
(2021)
Article
Computer Science, Information Systems
Hiep Hoang Nguyen, Arshiah Y. Mirza, Weiqiang Chen, Yiqi Liu, Joanne Ronzello, Jack Chapman, Ali M. Bazzi, Yang Cao
Summary: This paper presents the development and performance evaluation of revolutionary nanostructured insulation for large propulsion motors. The nanostructured insulation based on 2D-platelet fillers offers significant improvements in electrical, dielectric, thermal, and mechanical properties compared to conventional insulation systems. Studies show a remarkable increase in torque handling capacity of motors using the proposed nanostructured insulation material.
Proceedings Paper
Energy & Fuels
Vahe Seferian, Ali Bazzi, Hazem Hajj
2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2020)
Proceedings Paper
Energy & Fuels
Zhe Zhang, Ali M. Bazzi
2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2020)
Proceedings Paper
Energy & Fuels
Abbas Hassan, Ali Bazzi
2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Brian R. Engelhart, Ali M. Bazzi
2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Abbas Hassan, Hani Sadek, Ali Bazzi, Naseem Daher
2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Jonathan Blake, Weiqiang Chen, Ali Bazzi
2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)
(2020)
Proceedings Paper
Energy & Fuels
Zhe Zhang, Ali M. Bazzi, Afia Semin
2020 THIRTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2020)
(2020)
Article
Engineering, Multidisciplinary
Zhe Zhang, Lixiang Wei, Peizhong Yi, Yujia Cui, Puneeth Srikanta Murthy, Ali M. Bazzi
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2020)
Proceedings Paper
Energy & Fuels
Weiqiang Chen, Ali M. Bazzi
2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2019)
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)