Article
Thermodynamics
Chenfang Wang, Qingshan Li, Chunmei Wang, Yangjun Zhang, Weilin Zhuge
Summary: The study established a thermodynamic model for a hybrid system of PEMFC and ORC, selected the optimal working fluid, and discussed the effects of key parameters on system performance. Results showed that the system’s power and efficiency improved with increasing operating temperature, reaching optimal values with a specific zeotropic mixture, leading to a significant increase in net power and efficiency. Discussions on the influence of maximum evaporation pressure and stack operating temperature on the selection of the optimum working fluid were also included.
Article
Chemistry, Physical
Sai A. Kaushik, Satya Sekhar Bhogilla, P. Muthukumar
Summary: The article discusses the impact of increased fossil fuel usage on the environment and the need for the development of new energy sources, introduces the concept and application of fuel cell technology, and analyzes the improvement of fuel cell efficiency through thermal integration. The article also examines the thermal integration of PEMFC with RORC and methods to improve the overall efficiency of the fuel cell by utilizing the heat released by high-temperature PEMFC.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Yuhang Wang, Huiying Zhang, Jianhui Qi, Kuihua Han, Suoying He, Chang Guo, Shen Cheng, Ming Gao
Summary: This study presents a novel integrated energy system coupling PEMFC, ORC system, and MH hydrogen storage system to improve energy utilization through waste heat recovery. The system shows significantly improved performance compared to a single PEMFC, with a rise in output power, electrical efficiency, energy efficiency, and exergy efficiency. Parameters such as superheat temperature, saturation pressure, and hydrogen weight fraction have a significant impact on system performance.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Review
Chemistry, Physical
Sahng Hyuck Woo, So Young Lee, Young-Gi Yoon, Arnaud Rigacci, Jung-Je Woo, Christian Beauger, Hyoung-Juhn Kim
Summary: The incorporation of nanoclays into polymer matrixes improves the performance of proton exchange membranes (PEMs) in proton exchange membrane fuel cells (PEMFCs), especially at high temperatures and low relative humidity (RH). Nanoclays also enhance the mechanical properties and reduce the cost of composite membranes.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Chemical
Ping-Yen Chen, Tse-Han Chiu, Fan-Jie Lin, Jyh-Chien Chen
Summary: Two novel tetraamines have been synthesized, and polybenzimidazoles with outstanding thermal stability, solubility, and oxidative stability have been prepared. The resulting membranes exhibit excellent tensile strength, proton conductivity, and peak power density, making them promising candidates for high-temperature proton exchange membrane fuel cell (HT-PEMFC) applications.
JOURNAL OF MEMBRANE SCIENCE
(2022)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Green & Sustainable Science & Technology
Sharjeel Ashraf Ansari, Mustafa Khalid, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Ghulam Hussain, Mohammed Alkahtani
Summary: Proton exchange membrane fuel cells (PEMFCs) are widely adopted as a sustainable energy resource, with a costly manufacturing process requiring mathematical modeling and simulations for performance optimization. The waste heat generated by the fuel cell can be utilized to drive an organic Rankine cycle system, producing additional power.
Article
Thermodynamics
Zhe Sun, Dan Cao, Yawen Ling, Feng Xiang, Zhixin Sun, Fan Wu
Summary: The paper proposes a dynamic differential evolution algorithm with a collective guiding factor to solve the parameter identification and optimization problem of PEMFC model. By introducing dynamic scaling factor and dynamic crossover probability, the algorithm shows superior performance in convergence accuracy and speed, leading to more accurate parameter values for the PEMFC model.
Article
Thermodynamics
Can Liu, Guokun Liu, Yanzhou Qin, Yuan Zhuang
Summary: Proton exchange membrane fuel cell (PEMFC) is a promising alternative power source with advantages of quiet operation, low emission, and high theoretical energy conversion efficiency. However, a significant portion of the energy is dissipated by the cooling system. Utilizing an organic Rankine cycle (ORC) system to recover thermal energy from the cooling system can improve the practical performance of PEMFC, with R134a demonstrating higher cycle efficiency compared to R245fa.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2021)
Article
Energy & Fuels
Mohamed Abd Elaziz, Laith Abualigah, Mohamed Issa, Ahmed A. Abd El-Latif
Summary: This paper proposes a new method for identifying the parameters of PEMFC based on GTO and validates its effectiveness through various test cases. The results show that the proposed method has high performance capability in both steady-state and dynamic situations, and achieves better performance than other well-known comparative methods.
Article
Automation & Control Systems
Pengkun Jiang, Jian Chen, Lei Jin, Lalitesh Kumar
Summary: This article proposes an adaptive condition monitoring method for proton exchange membrane fuel cells based on fast electrochemical impedance spectroscopy and two-frequency impedance measurements. The method includes the development of an impedance measurement system for fast electrochemical impedance spectroscopy and impedance measurements of single frequency, the adaptive extraction of two characteristic frequencies from the impedance spectrum, and the use of a multiclass linear discriminant classifier for online state classification. The proposed method is experimentally validated on a 3-kW and a 400-W fuel cell stack, demonstrating its effectiveness, rapidity, and migrability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Physical
Seyed Mojtaba Alirahmi, Ehsanolah Assareh, Ata Chitsaz, Shahriyar Ghazanfari Holagh, Saeid Jalilinasrabady
Summary: This study conducts comprehensive energy, exergy, and economic evaluations and optimizations of a novel integrated fuel cell/geothermal-based energy system, and illustrates that combining a fuel cell and an electrolyzer can effectively manage electricity consumption to satisfy the demands during peak and low load periods.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Shuai Shi, Xianglong Wen, Qinqin Sang, Shuai Yin, Kaili Wang, Jian Zhang, Min Hu, Huiming Yin, Jia He, Yi Ding
Summary: Designing catalyst layers with high proton conductivity in membrane electrode assemblies is crucial for proton exchange membrane fuel cells. The use of an ultrathin Pt-decorated nanoporous gold catalyst layer has been shown to significantly improve proton conduction and achieve excellent power density in carbon-free electrodes.
Article
Thermodynamics
Anandu Surendran, Satyanarayanan Seshadri
Summary: The Transcritical Regenerative Series Two-stage Organic Rankine Cycle (TR-STORC) has improved performance compared to STORC and single-stage ORC. However, the TR design requires vapor extraction, which limits the use of compact two-stage turbines. An alternative design called Transcritical-Recuperative (TREC) is proposed, which eliminates vapor extraction and allows for the direct integration of compact two-stage turbines.
Article
Chemistry, Physical
Huiwen Deng, Youlong Cui, Weirong Chen, Di Cao, Weihao Hu
Summary: A nonlinear observer design for estimating gas species profiles and partial pressures in a fuel delivery system is proposed in this paper. The observer, based on a projection algorithm, shows better real-time estimation performance and robustness compared to a second order sliding mode observer. The study also reveals the observer's good robustness in hydrogen partial pressures observation and less robustness in nitrogen partial pressures estimation, with an analysis of key system parameters affecting the estimations.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Mehdi Rahimi Takami, Davood Domiri Ganji, Mojtaba Aghajani Delavar, Shahriar Bozorgmehri
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2020)
Article
Thermodynamics
Mehdi Rahimi Takami, Davood Domiri Ganji, Mojtaba Aghajani Delavar, Shahriar Bozorgmehri
Summary: This study utilized the lattice Boltzmann method to investigate diffusion phenomena in SOFC, focusing on estimating diffusion coefficients through dimensionless numbers and exploring the impacts of inlet velocity, steam-to-carbon ratio, current density, and porosity on diffusion processes. Additionally, the study revealed the significant effects of molar ratio variations in hydrogen and water, as well as the importance of changes in operating parameters on the Prandtl number.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Chemical
Mojtaba Aghajani Delavar, Junye Wang
Summary: This study developed an integrated thermal lattice Boltzmann model and cellular automata to investigate the impact of temperature and velocity on biofilm growth in a microbioreactor. The results showed that temperature had a significant effect on both the maximum biofilm concentration and growth rate, with an increase in temperature leading to a decrease in the time required to reach maximum concentration. Overall, the model demonstrated its capability to simulate biofilm behavior and its potential applications in industrial and clinical settings.
Article
Thermodynamics
Mojtaba Aghajani Delavar, Junye Wang
Summary: This study investigated a hybrid system of solar-microturbine in a cold climate region, showing higher total efficiency and electricity output in summer compared to winter in Edmonton. Total efficiency in Edmonton during summer was similar to Phoenix but lower in winter, with higher electricity output in Edmonton during summer compared to Toronto and Phoenix.
APPLIED THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Amirhossein Zabihi Sheshpoli, Omid Jahanian, Kamyar Nikzadfar, Mojtaba Aghajani Delavar
Summary: Solar energy is recommended as a source of renewable energy, but photovoltaic panels have limitations in efficiency and space occupation. Researchers propose hybrid PV/thermal systems to improve panel efficiency and attract household consumers. Experimental studies show that a serpentine tube configuration can significantly increase electrical and thermal efficiency in PV/T systems.
Review
Environmental Sciences
Junye Wang, Narayan Kumar Shrestha, Mojtaba Aghajani Delavar, Tesfa Worku Meshesha, Soumendra N. Bhanja
Summary: Watersheds in cold regions play crucial roles in providing water resources and ecosystem services, but are facing challenges from climate change. This review focuses on analyzing the system and modeling characteristics of watersheds in cold regions, highlighting research priorities for future model development.
Article
Energy & Fuels
Mojtaba Aghajani Delavar, Junye Wang
Summary: The efficiency of dark fermentation for biohydrogen production largely depends on pH values, with acid additives able to increase biohydrogen extraction rates significantly. Dynamic local acids concentrations also affect pH and overall hydrogen production. The model developed in this study shows the importance of pH and acids in biohydrogen production and extraction rates, with potential for high-throughput bioreactor design.
Article
Engineering, Chemical
Mojtaba Aghajani Delavar, Zachary Li, Junye Wang
Summary: The study showed that different obstacle configurations in a static mixer-reactor could improve denitrification efficiency, with rectangular obstacle performing best at low inlet velocity. However, there were small differences in denitrification efficiency among configurations at high inlet velocity.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Review
Green & Sustainable Science & Technology
Mojtaba Aghajani Delavar, Junye Wang
Summary: Biofilms are complex and heterogeneous structures formed by multiple populations of microorganisms. They can cause serious issues but also have useful applications in various fields. Advanced numerical modeling techniques like the lattice Boltzmann method (LBM) enable the prediction of biofilm formation and growth.
Article
Chemistry, Physical
Mojtaba Aghajani Delavar, Junye Wang
Summary: This study developed a sophisticated model to investigate dark fermentative biohydrogen production in dynamic membrane bioreactors. The results showed that the porous structure and inlet velocity in the dynamic membrane significantly affect biohydrogen extraction.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Mojtaba Aghajani Delavar, Junye Wang
Summary: Photo fermentation is an emerging approach for biohydrogen production that is energy efficient and eco-friendly. A three-dimensional numerical platform was developed in this study to study photo fermentation, showing that bioreactor performance can be improved under certain illumination intensity. Additionally, increasing inlet glucose concentration can enhance biohydrogen concentration and extraction, but reduce biohydrogen yield.
Article
Thermodynamics
Behzad Siavash Amoli, Seyed Soheil Mousavi Ajarostaghi, Kurosh Sedighi, Mojtaba Aghajani Delavar
Summary: This study developed a model to investigate the influence of parameters on spray cooling performance in a rectangular duct. The results showed that an increase in the number of nozzles and air flow rate resulted in a decrease in cooling efficiency.
JOURNAL OF THERMAL ENGINEERING
(2022)
Review
Environmental Sciences
Junye Wang, Michael Bretz, M. Ali Akber Dewan, Mojtaba Aghajani Delavar
Summary: Land-use and land-cover change (LULCC) is important in natural resource management, environmental modelling, and agricultural production management. However, LULCC detection and modelling is a complex process in remote sensing due to the large amount of data involved and the need to consider different factors. Machine learning has not yet had a significant impact on LULCC modelling, especially in predicting urbanization and crop yields, because land cover types are dynamic at a local scale and influenced by various natural and human factors. Challenges in using machine learning for LULCC modelling include detecting and predicting LULC evolutionary processes, considering the applicability and feasibility of different approaches, and incorporating local ecological, hydrological, and socio-economic drivers into the analysis.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Energy & Fuels
Behzad Siavash Amoli, Seyed Soheil Mousavi Ajarostaghi, Kurosh Sedighi, Mojtaba Aghajani Delavar
Summary: In hot and dry areas, evaporative cooling can improve the performance of air-cooled condensers. In this study, the effects of nozzle geometry on cooling efficiency were investigated, and it was found that nozzle longitudinal location was the most important parameter, while spray inclination angle had the lowest importance. Counter-flow cooling condition was more efficient than co-flow and cross-flow conditions.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Engineering, Chemical
Mojtaba Aghajani Delavar, Junye Wang
Summary: In this study, a three-dimensional coupled lattice Boltzmann model and cellular automata platform was developed to simulate biofilm growth and phenol biodegradation for the removal of phenolic contaminants in aquatic systems. The results showed that the cubic-bioreactor had higher phenol reduction than the spheric-bioreactor, and the biofilm concentration decreased as inlet velocity increased. The model proved to be accurate in assessing the performance of wastewater treatment bioreactors under different conditions.
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.
