Article
Engineering, Electrical & Electronic
Haiyi Cai, Jincan Zhang, Min Liu, Shi Yang, Shaowei Wang, Bo Liu, Juwei Zhang
Summary: An improved particle swarm optimization (APSO) algorithm is proposed in this paper for optimizing the intrinsic parameters of the GaN HEMT 20-element small-signal model. Experimental results show that the APSO algorithm greatly improves the situation of falling into a local optimum for the traditional PSO algorithm, and enables more accurate and faster parameter extraction of the GaN HEMT small-signal model in the frequency range of 0.5-20 GHz.
MICROELECTRONICS JOURNAL
(2023)
Article
Multidisciplinary Sciences
Fahmi F. Muhammadsharif, Suhairul Hashim
Summary: A simple and efficient method is proposed to determine the ideality factor of solar cells and modules using the knee point of the shunt resistance curve. The method involves deriving a nonlinear empirical equation and obtaining the peak value that corresponds to the knee point of the shunt resistance. The determined ideality factor can be used to extract other parameters and model the I-V curve of the devices at different conditions.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Xi Yang, Wenyin Gong
Summary: An enhanced JAYA algorithm is proposed in this study for accurately and efficiently estimating the parameters of PV systems. Experimental results demonstrate the excellence of EJAYA in accuracy, stability, and convergence speed, making it a superior alternative for parameter detection of PV cells and modules under various practical conditions.
APPLIED SOFT COMPUTING
(2021)
Article
Chemistry, Physical
Fahmi F. Muhammadsharif
Summary: An efficient technique for extracting solar cells and modules parameters from manufacturer's datasheet was proposed, showing better results compared to reported methods in literature.
Article
Green & Sustainable Science & Technology
Shinong Wang, Huan Luo, Yuan Ge, Shilin Liu
Summary: A modeling method of photovoltaic module based on difference equation is proposed in this study. The method avoids the need of iterative algorithm and can obtain the I-V characteristic curve under different solar irradiance when the temperature of PV module is constant. The model parameters are extracted by a numerical method, where the values of each parameter are dynamically adjusted to achieve the optimal model performance.
Review
Green & Sustainable Science & Technology
Zaiyu Gu, Guojiang Xiong, Xiaofan Fu
Summary: As the PV market share grows, accurate PV modeling becomes crucial for the future energy landscape. However, the complex characteristics of PV models make extracting accurate parameters challenging. Metaheuristic algorithms have gained attention for solving this issue effectively. This review surveys different algorithms, compares performance indicators, and analyzes variation patterns in results, providing valuable insights for future research in PV model parameter extraction.
Review
Chemistry, Physical
Felix Utama Kosasih, Enkhtur Erdenebileg, Nripan Mathews, Subodh G. Mhaisalkar, Annalisa Bruno
Summary: This article discusses three types of TE-based perovskite deposition techniques, summarizes their advantages and applications, and provides an outlook on important research topics for TE PSCs.
Article
Energy & Fuels
Abdullrahman A. Al-Shamma'a, Hammed O. Omotoso, Fahd A. Alturki, Hassan. M. H. Farh, Abdulaziz Alkuhayli, Khalil Alsharabi, Abdullah M. Noman
Summary: This paper presents a new application of Bonobo (BO) metaheuristic optimizer for PV parameter extraction. The algorithm is based on the reproductive approach and social conduct of Bonobos. Experimental results demonstrate that the BO algorithm outperforms other algorithms in terms of parameter extraction for PV modules under various operating circumstances. It is also easy to implement with less computational time.
Article
Green & Sustainable Science & Technology
Kawtar Tifidat, Noureddine Maouhoub
Summary: This paper presents a simplified and accurate modeling approach for photovoltaic modules. The approach combines numerical and analytical techniques to predict the current-voltage characteristics of PV generators. By reducing the complexity of the current equation and extracting parameters using both analytical and numerical methods, the approach achieves high accuracy with minimal computation time. Testing on six PV modules shows that the approach outperforms other modeling methods in terms of accuracy and computational efficiency.
Article
Energy & Fuels
Wenguan Luo, Xiaobing Yu
Summary: In this study, a Quasi-Reflection based Multi-Strategy Cuckoo Search algorithm (QRMSCS) is proposed for accurate parameter estimation in different PV systems. The results of extensive experiments show that QRMSCS is the most robust and superior algorithm, indicating its promising potential for practical applications.
Review
Chemistry, Multidisciplinary
Haoliang Cheng, Yungui Li, Yufei Zhong
Summary: Perovskite solar cells (PSCs) have attracted extensive attention in recent years due to their advantages such as low cost and flexibility. However, the serious charge recombination at the interface of the perovskite film and charge transport layers limit further improvement of the device performance to date. Self-assembled monolayers (SAMs) have shown potential in solving these issues and have been extensively used as interfacial layers in PSCs. This review presents the recent progress of SAMs in PSCs, discussing their role in reducing energy loss and highlighting the future challenges and principles of SAMs.
MATERIALS CHEMISTRY FRONTIERS
(2023)
Review
Polymer Science
Mahmoud N. Zidan, Nicola Everitt, Tawfik Ismail, Irene S. Fahim
Summary: Research on organic photovoltaic devices is ongoing to enhance their efficiency and stability, with recent advancements bringing them closer to market. Understanding the relationship between device microscopic parameters and preparation/operation conditions is crucial for performance improvement. Parameter extraction plays a key role in linking qualitative experimental measurements to quantitative device parameters, impacting the pace and cost of development. Various experimental and material processing procedures, as well as different parameter extraction methods, are discussed in terms of their impact on the parameters of organic solar cells.
Article
Energy & Fuels
Kawtar Tifidat, Noureddine Maouhoub, S. S. Askar, Mohamed Abouhawwash
Summary: This paper proposes a novel method for estimating the performance of photovoltaic modules under various weather conditions. The method extracts the five parameters of the single-diode model without any approximations or iterative processes, combining accuracy and rapid convergence. The method solves matrix equations based on reduced forms, ensuring simplicity and avoiding tedious calculations. The effectiveness of the method is demonstrated through testing with different PV module technologies and comparing with well-known simulating methods for the one-diode model. The results show the relevance of the new method for dynamic applications and for PV designers seeking simple modeling techniques.
Article
Engineering, Electrical & Electronic
Chuanzhong Xu, Ying Liang, Xiaofang Sun, Gongyi Huang, Fei Yu
Summary: The noniterative parameter-extraction method proposed in this study is a useful tool for determining the five parameters of a single-diode model, overcoming the limitations of numerical iteration methods and semiempirical approaches, and expanding the practicality of lumped parameter models.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2021)
Article
Chemistry, Multidisciplinary
Jeesoo Chang, Sungmin Hwang, Kyungchul Park, Taejin Jang, Kyung-Kyu Min, Min-Hye Oh, Jonghyuk Park, Jong-Ho Lee, Byung-Gook Park
Summary: A new systematic device-model calibration methodology has been proposed to reduce parameter calibration time for modern nano-scale semiconductor devices. The adaptive pattern search algorithm explores the parameter space with adaptive searching steps and directions, showing superior accuracy in high dimensional optimization problems. This method, with its universality in parameter calibration, can be applied to emerging devices such as TFET and NCFET.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
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
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)