Article
Chemistry, Physical
Shahriar Bozorgmehri, Hadi Heidary, Mohsen Salimi
Summary: Feed-in Tariffs are important support mechanisms for sustainable energy, and this study analyzes their implementation for distributed electricity generation in Iran and electricity generated by fuel cells in other countries. Different scenarios were designed to determine the pricing of electricity generated from fuel cells and support its market development. The calculated Feed-in Tariffs or expected support amount for each fuel cell unit varied depending on the utilization of different fuel cell products. The study also compared the cost of electricity generation using a production tax credit model and Iran's small-scale generator support guideline.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Review
Green & Sustainable Science & Technology
Ahmad Baroutaji, Arun Arjunan, John Robinson, Tabbi Wilberforce, Mohammad Ali Abdelkareem, Abdul Ghani Olabi
Summary: Significant research efforts have been focused on reducing the cost, increasing efficiency, and decreasing the environmental impact of power-generation systems. The review highlights the main technologies, economic, energy, and environmental performance of Proton Exchange Membrane Fuel Cell-based Poly-Generation Systems (PEMFC-PGSs), along with commercialization activities and future research directions. Challenges related to high cost and degradation rate need to be addressed to fully realize the benefits of these systems.
Article
Chemistry, Physical
Elena Crespi, Giulio Guandalini, Soenke Goessling, Stefano Campanari
Summary: The study focuses on constructing and demonstrating a highly flexible PEMFC power plant fueled by hydrogen to provide grid support. Different layouts for innovative MW-scale plant are simulated to optimize design and operation under atmospheric or mild pressurized conditions, achieving higher net power and efficiency through energy recovery.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Xukai Hou, Rongfeng Sun, Jikai Huang, Wenguang Geng, Luyuan Wang, Tiantian Zhao
Summary: A combined heat and power system using proton exchange membrane fuel cells has been designed to provide electricity and heat for a hydrogen high-speed service area. The system performance is influenced by key parameters such as current density and hydrogen inlet pressure. The thermal-led strategy can prevent heat energy waste but leads to a power shortage.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Hany M. Hasanien, Mohamed A. M. Shaheen, Rania A. Turky, Mohammed H. Qais, Saad Alghuwainem, Salah Kamel, Marcos Tostado-Veliz, Francisco Jurado
Summary: This paper introduces an enhanced Transient Search Optimization (ETSO) algorithm to estimate the electrical model of the proton exchange membrane fuel cell (PEMFC). The ETSO algorithm incorporates the Levy function and the Weibull distribution function, resulting in improved accuracy compared to the traditional algorithm.
Article
Computer Science, Artificial Intelligence
Hamza Bahri, Abdelghani Harrag
Summary: PEMFC fuel cell is characterized by low operating temperature, high efficiency, and long lifetime, but faces challenges such as dependency of output power on operating conditions. The development of a golden section search-based maximum power point tracking controller can improve operation and optimize power extraction.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Energy & Fuels
Arber Haxhiu, Ricky Chan, Sami Kanerva, Jorma Kyyra
Summary: This paper presents a system level approach to estimate the maximum load steps on a hydrogen fuel cell powered marine system. The proposed model predicts the system distribution voltage drop due to sudden load changes, which can help determine if a system can sustain the applied load change. The approach is validated using real-time hardware-in-loop simulation platform and proves to be accurate within 1.2%.
Article
Thermodynamics
Mahmood Mehregan, Mohammad Sheykhi, Behrad Alizadeh Kharkeshi, Amin Emamian, Karim Aliakbari, Nima Rafiee
Summary: A new combined heat and power (CHP) system is proposed, which combines a proton exchange membrane (PEM) fuel cell and a beta type Stirling engine. Two thermodynamic models are used to analyze the performance of the system and its impact on energy, environment, and economic factors. The optimization results show that the recommended engine speed, fuel cell temperature, and current density are 3000 rpm, 94.5 degrees C, and 0.67 A cm-2, respectively. Additionally, if the goal is to maximize CHP efficiency and reduce CO2 emissions, starting the system with slightly lower engine speed, lower temperature, and higher current density is recommended.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Banaja Mohanty, Rajvikram Madurai Elavarasan, Hany M. Hasanien, Elangovan Devaraj, Rania A. Turky, Rishi Pugazhendhi
Summary: This paper introduces a novel method of optimizing the polymer exchange membrane (PEM) fuel cell model using the Lightning search algorithm (LSA). The effectiveness of the LSA-PEM fuel cell model is extensively verified through simulation results and comparison with other optimized models, showing a high performance of the LSA-PEMFC model.
Article
Energy & Fuels
Alparslan Topcu, Kadir Aydin, Selahattin Celik
Summary: This study investigates the effect of pump and heater operation durations on the cold start performance of a proton exchange membrane (PEM) fuel cell system. By providing external heat through an assisted technique, the researchers found that the fuel cell system was able to successfully start and operate even at extremely low temperatures, such as -30 degrees Celsius. The study also highlights the importance of pump and heater operation durations in achieving stable cold start operations.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Behrad Alizadeh Kharkeshi, Mahmood Mehregan, Mohammad Sheykhi
Summary: A new combined cooling heating and power (CCHP) system is proposed to recover waste heat from the proton exchange membrane (PEM) fuel cell. The system consists of a PEM, an absorption chiller, an auxiliary boiler, and hydrogen and heat storage tanks. The article evaluates the power and heat of the fuel cell using an electrochemical model of PEM, and assesses the energy and exergy efficiencies, fuel energy saving ratio, annual carbon dioxide (CO2) emission reduction, annual CO2 tax reduction, and fuel saving based on critical operating parameters of PEM. The results show that the proposed CCHP system has an energy efficiency of about 66%, an exergy efficiency of 37%, can reduce CO2 emissions by 191 tons per year, and reduce the tax cost of carbon dioxide emissions by about $5700 per year.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Chemistry, Physical
M. M. Samy, Mohamed Mosaad, S. Barakat
Summary: This study proposes a hybrid system utilizing renewable energy resources to address power outages in distant districts. By optimizing design and considering costs, it demonstrates economic viability, providing an effective solution for supplying and selling electricity in the grid.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Margherita Capuano, Marco Sorrentino, Martin Agelin-Chaab
Summary: This study analyzes the performance of integrating HT-PEMFC and ASHP technologies for residential space heating. The goal is to improve energy conversion efficiency in Canadian climate using locally available methane. The proposed HT-PEMFC system configuration achieves a COP higher than 1.5, reducing primary energy needed and operating costs by up to 60% compared to boilers.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Civil
Harprinderjot Singh, Mohammadreza Kavianipour, Amirali Soltanpour, Fatemeh Fakhrmoosavi, Mehrnaz Ghamami, Ali Zockaie, Robert Jackson
Summary: This study develops regression models to estimate the number of direct current fast charging stations and chargers needed to support electric vehicle charging demand in urban areas. These models can assist policymakers and city planners in making macro-level estimates for infrastructure investment.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Energy & Fuels
Paolo Aliberti, Marco Sorrentino, Marco Califano, Cesare Pianese, Luca Capozucca, Laura Cristiani, Gianpiero Lops, Roberto Mancini
Summary: This article proposes a model-based tool for optimal sizing and energy management of proton exchange membrane fuel cell and electrolyser systems, along with a hydrogen storage tank, integrated with renewable microgrids. The tool addresses both off-grid and grid-connected telecom tower power supply needs. The dynamic programming method is used for grid connection, while downsizing the electrolyser and hydrogen storage tank improves techno-economic effectiveness.
Article
Computer Science, Artificial Intelligence
Mohsen Farbood, Mokhtar Shasadeghi, Taher Niknam, Behrouz Safarinejadian
Summary: This article introduces the design of an artificial fuzzy Lyapunov-based model predictive integral sliding-mode control to achieve the stability of the closed-loop Takagi-Sugeno fuzzy-model-based nonlinear systems. It proposes a method that combines a fuzzy integral sliding-mode controller and fuzzy model predictive control to improve the stability and robustness of the closed-loop system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Kazem Zare, Mokhtar Shasadeghi, Taher Niknam, Mohammad Hassan Asemani, Saleh Mobayen
Summary: This paper proposes a sliding mode control (SMC) method using a novel dynamic sliding surface for multi-input multi-output (MIMO) nonlinear systems. The control design provides a robust approach with additional degrees of freedom to satisfy the control input constraint. By decomposing the original system into subsystems and modeling the coupling dynamic terms as system uncertainties, the proposed method achieves a robust control performance. The adaptive law is designed to estimate the upper bounds of uncertainties. The effectiveness of the proposed controller is evaluated through a benchmark quadruple-tank process (QTP).
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Energy & Fuels
Hossein Eskandari, Mohammadjavad Kiani, Mahmoud Zadehbagheri, Taher Niknam
Summary: This study proposes a novel random structure for optimally managing energy in microgrids, considering the uncertainty of PHEVs and RERs models using Monte Carlo Simulation (MCS). It also incorporates a hydrogen storage strategy for PEMFC-CHP units and smart charging plans for PHEVs. The results show that the proposed method is efficient under different situations and conditions.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Civil
Morteza Sheikh, Jamshid Aghaei, Hossein Chabok, Mahmoud Roustaei, Taher Niknam, Abdollah Kavousi-Fard, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: The paper presents a novel stochastic virtual assignment (SVA) method based on a directed acyclic graph (DAG) approach, aiming to address the cyber attack risks in smart city environments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Naser Hashemipour, Jamshid Aghaei, Pedro Crespo Del Granado, Abdollah Kavousi-Fard, Taher Niknam, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This paper proposes an accurate and efficient probabilistic method for modeling the uncertainty of Electric Vehicles (EVs) in Peer-to-Peer (P2P) trading. The method captures the uncertainty of input parameters and reduces computational burden. The comparative analysis and case study demonstrate the accuracy and feasibility of the proposed method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Amir Reza Aqamohammadi, Taher Niknam, Sattar Shojaeiyan, Pierluigi Siano, Moslem Dehghani
Summary: This study proposes a smart fault detection method (FDM) for microgrids (MGs) based on the Hilbert-Huang transform (HHT) and deep neural networks (DNNs). The method aims to rapidly detect fault type, phase, and location data to protect MGs and restore services. The approach preprocesses branch current measurements using HHT and extracts features using singular value decomposition (SVD) for input to DNNs. Compared to previous studies, this method achieves higher fault-type identification accuracy and can determine new fault locations. Evaluation on IEEE 34-bus and MG systems demonstrates its effectiveness in terms of detection precision, computing time, and robustness to measurement uncertainties.
Article
Computer Science, Information Systems
Mohammad Ghiasi, Taher Niknam, Moslem Dehghani, Hamid Reza Baghaee, Zhanle Wang, Mohammad Mehdi Ghanbarian, Frede Blaabjerg, Tomislav Dragicevic
Summary: This article introduces an enhanced control strategy for renewable energy resources connected to microgrids through voltage-sourced converters. The strategy includes various controllers designed using the finite control set-model predictive control (FCS-MPC) strategy. The controllers can be applied in both grid-connected and island operation modes. The proposed method improves the computation power by eightfold and is proven to be superior theoretically. Simulation and hardware experiments validate the efficiency, authenticity, and compatibility of the proposed control strategy.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Moslem Dehghani, Taher Niknam, Mina GhasemiGarpachi, Hassan Haes Alhelou, Motahareh Pourbehzadi, Giti Javidi, Ehsan Sheybani
Summary: The purpose of this paper is to analyze cyber security issues in smart grids, including prior cyber-attacks, vulnerability issues, and enhanced security procedures. It is important to consider motivations, obstacles, and socio-economic conditions when designing public policies for smart grids. The paper evaluates a group of policies suggested by stakeholders and assesses their potential for developing cyber security. The study finds that the policies with the most attention are regulatory changes to foster innovation, regulation of new business models, and establishment of a cyber-security governance strategy.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Automation & Control Systems
Mohsen Farbood, Mokhtar Shasadeghi, Taher Niknam, Behrouz Safarinejadian, Afshin Izadian
Summary: The main aim of this article is to propose a MB-based robust model predictive control (MPC) for nonlinear systems, considering the model uncertainties and disturbances based on Takagi-Sugeno fuzzy models. The suggested RMPC consists of an offline part and an online MB-based MPC.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Sobhan Farjam Keleshteri, Taher Niknam, Mohammad Ghiasi, Hossein Chabok
Summary: This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. The Pareto method is used to solve the problem and the Floyd-Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations.
JOURNAL OF ENGINEERING-JOE
(2023)
Article
Computer Science, Information Systems
Farshad Faramarzi, Taher Niknam, Motahareh Pourbehzadi, Giti Javidi, Ehsan Sheybani
Summary: This study proposes a new four-level model to enhance the resilience of power systems against human attacks. The model considers the roles of attackers and defenders, and introduces a new defensive layer to improve system resilience. The results of applying the model to the IEEE-30 bus test system demonstrate the effectiveness of the proposed method.
Article
Computer Science, Information Systems
Milad Jokar-Dehoie, Mohsen Zare, Taher Niknam, Jamshid Aghaei, Motahareh Pourbehzadi, Giti Javidi, Ehsan Sheybani
Summary: This paper proposes a new framework for the optimal operation of a microgrid aggregator in an oligopoly electricity market. The aggregator obtains an optimal bidding strategy for a multigrid system and optimally schedules the microgrid's resources to meet demand. The results show that the proposed bidding strategy can calculate the Nash equilibrium in the electricity market and maximize social welfare.
Article
Computer Science, Information Systems
Elaheh Taherian-Fard, Taher Niknam, Ramin Sahebi, Mahshid Javidsharifi, Abdollah Kavousi-Fard, Jamshid Aghaei
Summary: This paper proposes a multi-controller software defined networking (SDN) architecture based on fog servers to improve the security and control of multi-microgrids. The architecture uses support vector machine to detect distributed denial of service attacks and solves the power scheduling problem through an optimization application on a cloud server.
Article
Engineering, Multidisciplinary
M. Zohour-Attar, J. Aghaei, T. Niknam, A. Nikoobakht
Summary: This paper introduces a method for sub-transmission and distribution network expansion planning that considers reliability indices. By minimizing costs, it aims to balance investment, operation, maintenance, and reliability, transforming the MINLP problem into a solvable MILP model. The proposed method's effectiveness is demonstrated in two synthetic test networks.
Article
Computer Science, Information Systems
Solmaz Farahbod, Taher Niknam, Mohammad Mohammadi, Jamshid Aghaei, Sattar Shojaeiyan
Summary: This article presents a probabilistic approach for wind speed prediction, including designing a deep network to understand the temporal and spatial features of wind speed data, and proposing a modified loss function and kernel density estimator to improve prediction accuracy.
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.