Article
Mathematics
Syed Wajahat Ali, Anant Kumar Verma, Yacine Terriche, Muhammad Sadiq, Chun-Lien Su, Chung-Hong Lee, Mahmoud Elsisi
Summary: In this paper, an improved finite-control-set model predictive control (FCS-MPC) scheme is proposed for a PMSG based WECS to achieve low voltage ride through (LVRT) ability under symmetrical and asymmetrical grid faults. The effectiveness of the FCS-MPC method is compared with the conventional proportional-integral (PI) controller, and the results show the superiority of the FCS-MPC scheme in reducing fault effect quickly and improving damping performance.
Article
Chemistry, Multidisciplinary
Katja H. Sirvio, Hannu Laaksonen, Kimmo Kauhaniemi, Nikos Hatziargyriou
Summary: This paper discusses the challenges brought by the transition to smart grids for the development of electricity distribution networks, involving various stakeholders and their needs. It presents a method to develop evolving operational scenarios and related management schemes using the unified modeling language (UML), including microgrid control functionalities.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Khaled Y. Al-Soufi, Azhar M. Memon, Luqman S. Maraaba, Mohammed Arif
Summary: Reducing costs, emissions, and improving efficiency in electric power networks is crucial. Through improvements in the industry's operation and fostering interactive participation between consumers and service providers, mutual benefits can be achieved by reducing heat losses, CO2 emissions, and fuel consumption.
Article
Computer Science, Information Systems
Vinicius Gadelha, Andreas Sumper, Eduard Bullich-Massague, Monica Aragues-Penalba
Summary: This paper explores the application of a power electronic device called the power router to an electrical grid. It defines the concept and conditions for interconnection of the power router grid, proposes a mathematical modelling methodology, and analyzes its operational requirements and flexibility. Two case studies are presented to demonstrate the practical application of the power router grid.
Article
Energy & Fuels
Yonglin Lu, Zhigang Liu, Mingming Zhang, Xinfu Wang, Yongmei Chen, Jingrui Shang
Summary: This paper studies a power control method for grid-connected new energy using predictive regulation performance and embedded systems. The experiment results show that this method improves energy conversion rate and power generation efficiency.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
G. M. Cabello, S. J. Navas, I. M. Vazquez, A. Iranzo, F. J. Pino
Summary: This paper reviews the ongoing research studies and microgrid pilot projects in Spain, focusing on the renewable energy potential in the country. It highlights the main investigation trends in the field, including the use of technologies, control methods, and operational challenges. The study finds that photovoltaic and wind power are the most favored energy generation technologies, and batteries are the most widely used energy storage systems. Advanced control strategies such as MPC or fuzzy logic are replacing traditional strategies for higher efficiency. The paper provides a comprehensive analysis of the potential of renewable energy penetration through smart grids in Spain, examining the equipment and control strategies implemented in various facilities.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Pia Hoenicke, Debjani Ghosh, Adel Muhandes, Sumantra Bhattacharya, Christiane Bauer, Josef Kallo, Caroline Willich
Summary: Hybrid electric aircrafts using fuel cells and batteries offer a way to reduce emissions in air travel. State of the art concepts involve connecting fuel cells and batteries either through a DC/DC converter or as a direct hybrid. A new power control module has been developed to provide easier control, flexibility, and efficiency, while also ensuring high aircraft safety standards through redundancy and additional safety measures.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Review
Energy & Fuels
Md Fazla Elahe, Min Jin, Pan Zeng
Summary: This paper provides a comprehensive overview of the collection and analysis of large-scale load data in smart grids, focusing on the application of Deep Learning techniques and discussing key points for improving performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Review
Energy & Fuels
Md Masud Rana, Moslem Uddin, Md Rasel Sarkar, Sheikh Tanzim Meraj, G. M. Shafiullah, S. M. Muyeen, Md. Ariful Islam, Taskin Jamal
Summary: Energy storage system (ESS) is a crucial technology for storing and converting electrical energy in power grids. It offers availability, versatility, flexibility, and modularity, making it attractive for various power system applications. This paper comprehensively reviews ESS technologies, including mechanical, chemical, electrical, electro-chemical, and thermal systems, highlighting their characteristics and applications. It also discusses the challenges and identifies key research areas to improve the practical application of ESS in power industries. The paper concludes by discussing the potential of large-scale ESS deployment for a sustainable future.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Lysandros Tziovani, Lenos Hadjidemetriou, Panayiotis Kolios, Alessandro Astolfi, Elias Kyriakides, Stelios Timotheou
Summary: This paper proposes an energy management and control scheme for managing an active distribution grid with prosumers. A multi-objective optimization model and a convex second-order cone program algorithm are developed to minimize costs and ensure safe operation. Simulation results demonstrate the effectiveness and superiority of the proposed scheme.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Thermodynamics
Armin Ebrahimi, Masoud Ziabasharhagh
Summary: A novel control algorithm has been developed in this study to optimize the use of energy storage systems for peak load shaving, showing significant reductions in required grid power and variance.
Article
Thermodynamics
Zia Ullah, Anis Ur Rehman, Shaorong Wang, Hany M. Hasanien, Peng Luo, Mohamed R. Elkadeem, Mohammad A. Abido
Summary: This study proposes an IoT-based monitoring and control system for power substations and smart grids, aiming at making effective decisions for energy and load management, and thereby improving the integration of smart grids into the power distribution network. The proposed IoT technology can address challenges related to resource allocation, load management, and grid stability in smart grids, while reducing energy costs and carbon emissions.
Article
Energy & Fuels
Joshua Comden, Jing Wang, Andrey Bernstein
Summary: With the increasing adoption of distributed energy resources (DERs) in distribution networks, it has become more necessary to coordinate and control them using a DER management system (DERMS) that provides grid services. A new type of DERMS using primal-dual control has been found to be effective in providing multiple grid services; however, the main parameter, the primal-dual step size, needs to be manually tuned for the DERMS to be effective. In this study, we propose a simple method that automatically tunes the step size(s) and adapts it to changing system conditions. The evaluation results show that the DERMS with automatically tuned step sizes provides higher-quality grid services than a DERMS with manually tuned step sizes.
Article
Green & Sustainable Science & Technology
Feras Alasali, Khaled Nusair, Lina Alhmoud, Eyad Zarour
Summary: The impact of the COVID-19 pandemic on the power grid goes beyond just a reduction in electricity demand, including aspects such as the reliability of the power system and forecast errors. By conducting long-term analysis, a rolling ARIMAX model is proposed to improve forecast performance.
Article
Chemistry, Physical
Gokay Bayrak, Alper Yilmaz, Alperen Calisir
Summary: This study presents a new two-step intelligent decision-maker method using hydrogen energy-based distributed generators (HEDGs) to contribute to the reliability, durability, and stability of power transmission system in Bursa.The proposed method evaluates power flow parameters to determine the appropriate connection point of HEDGs in the first stage, and then uses artificial neural network (ANN) with scaled conjugate gradient (SCG) algorithm to determine the conditions in which the HEDGs should be switched on.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Review
Green & Sustainable Science & Technology
Mustafa Inci, Omer Turksoy
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Engineering, Electrical & Electronic
Mehmet Buyuk, Mustafa Inci, Adnan Tan, Mehmet Tumay
ELECTRIC POWER SYSTEMS RESEARCH
(2019)
Article
Chemistry, Physical
Mustafa Inci
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Energy & Fuels
Ozgur Celik, Adnan Tan, Mustafa Inci, Ahmet Teke
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2020)
Article
Chemistry, Physical
Mustafa Inci, Abdullah Caliskan
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Energy & Fuels
M. Selim Aygen, Mustafa Inci
Summary: This paper proposes an improved energy management method to address the energy management issue for grid-connected renewable energy sources connected with unbalanced loads. The method compensates zero-sequence currents and ensures phase equilibrium at the grid-side through zero-sequence current injection. The effectiveness of the method is demonstrated through testing in a photovoltaic/fuel cell-based hybrid energy system.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Review
Green & Sustainable Science & Technology
Mustafa Inci, Mehmet Buyuk, Mehmet Hakan Demir, Gokturk Ilbey
Summary: The widespread application of fuel cells in the vehicle industry is gaining attention, with potential to become an alternative to traditional vehicles in the future. However, the lack of detailed studies for researchers in this field is evident. Nevertheless, research aims to provide comprehensive publications for engineers and researchers interested in fuel cell technology.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Murat Mustafa Savrun, Mustafa Inci
Summary: This study presents an improved ANFIS-based MPPT method to maximize the power extraction capability of the FC-connected system. The proposed method is validated in a standalone system and demonstrates its superiority in MPP tracking.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Mustafa Inci, Mehmet Buyuk, Murat Mustafa Savrun, Mehmet Hakan Demir
Summary: This study aims to develop a high-efficient fuel cell vehicle-to-grid system by integrating low voltage FC energy units to utility-grids through a high voltage conversion interface, ensuring smooth energy transfer and maximum power extraction capability.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Review
Energy & Fuels
Mehmet Buyuk, Ercan Avsar, Mustafa Inci
Summary: This paper provides a comprehensive overview and analysis of smart home applications, evaluating its system configurations, functional capabilities, objectives, and hardware applications. The study also investigates the state-of-the-art of smart home technology, analyzing the numerical values of scientific research studies and the future perspectives. The results show that smart home applications are expected to grow in the near future, with a predicted market value of 262.8 billion dollars by 2025.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Engineering, Electrical & Electronic
Mehmet Buyuk, Murat Mustafa Savrun, Mustafa Inci
Summary: This study presents a novel wireless power transfer (WPT) system structure that transfers electrical energy from a fuel cell (FC) stack integrated with a quadratic boost converter (QBC). The objective is to provide a high voltage conversion WPT system to transfer power from a low voltage FC energy unit. The proposed system is validated with a 100 W proof-of-concept model and analyzed under different operating conditions.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2022)
Review
Energy & Fuels
Tolga Depci, Mustafa Inci, Murat Mustafa Savrun, Mehmet Buyuk
Summary: This article reviews and evaluates a significant number of scientific studies to provide references and guidance for researchers working on wind power forecasting applications and technical challenges. It presents detailed content about the development of wind power forecasting, power system operation, and sectorial contributions. Furthermore, it discusses the application requirements and technical challenges of wind power forecasting, and provides detailed information on the process applications and related applications.
Article
Electrochemistry
Mustafa Inci, Mehmet Buyuk, Necdet Sinan Ozbek
Summary: This study proposes a method of using fuel cell electric vehicles to charge the battery electric vehicles, which shows better robustness and faster response compared to the traditional method.
Article
Energy & Fuels
Mustafa Inci
Summary: This study proposes an investigation into fuel cell vehicles (FCVs) connected to grid (FCV2G) technology with a focus on reducing consumer costs. The energy and profit analysis aspects of an FCV2G system supported by photovoltaic (PV) panels for 24-hour operation are examined. The system is tested for energy transfer from FCV/PV to grid/homes, and the results demonstrate that excess power is supplied to the grid during flexible hours while homes consume additional energy from the grid during peak hours. The profit analysis shows that the FCV2G system significantly reduces homes' consumption costs and allows for the sale of excess energy to the grid.
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.