A computer aided system for skin cancer detection based on Developed version of the Archimedes Optimization algorithm DOI
Huan Ding, Qirui Huang, Ahmed Alkhayyat

и другие.

Biomedical Signal Processing and Control, Год журнала: 2023, Номер 90, С. 105870 - 105870

Опубликована: Дек. 20, 2023

Язык: Английский

A new biomass-based hybrid energy system integrated with a flue gas condensation process and energy storage option: An effort to mitigate environmental hazards DOI

Le Chang,

Zhixin Wu, Noradin Ghadimi

и другие.

Process Safety and Environmental Protection, Год журнала: 2023, Номер 177, С. 959 - 975

Опубликована: Июль 20, 2023

Язык: Английский

Процитировано

88

Hybrid convolutional neural network and Flexible Dwarf Mongoose Optimization Algorithm for strong kidney stone diagnosis DOI

Haozhi Liu,

Noradin Ghadimi

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 91, С. 106024 - 106024

Опубликована: Фев. 6, 2024

Язык: Английский

Процитировано

56

Multi-criteria/comparative analysis and multi-objective optimization of a hybrid solar/geothermal source system integrated with a carnot battery DOI Creative Commons

Badreddine Ayadi,

Dheyaa J. Jasim, Ali E. Anqi

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 54, С. 104031 - 104031

Опубликована: Янв. 18, 2024

Among the different electrical energy storage technologies, Carnot batteries are promising options with low specific cost that do not suffer from geographical limitations and power-capacity coupling. In addition to power balancing, this approach can also be unique for multi-vector management. A comprehensive evaluation (thermodynamic design exergoenvironmental exergoeconomic evaluations), comparison, multi-objective optimization of four battery configurations based on solar-electric a geothermal source is presented. Geothermal simultaneously improve thermodynamic environmental performances battery. The main structure all obtained PV captured thermal source. Brayton, heat pump, flash, organic Rankine cycle (ORC) units periodically integrated. outcomes point out discharging process an ORC unit flash-heat pump (F-HPC)-based charging makes more optimal heat-to-power efficiency. Moreover, regenerative-Brayton (R-BC) has higher investment rate compared (in process). When integrating geothermal, third configuration (R-HPC/R-BC) experiences greatest improvement (5.3-fold) due increase in received

Язык: Английский

Процитировано

21

Stochastic economic sizing of hydrogen storage-based renewable off-grid system with smart charge of electric vehicles according to combined hydrogen and power model DOI
Rujia Wang, Ehsan Akbari, Leila Bagherzadeh

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 108, С. 115171 - 115171

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

3

Optimal economic model of a combined renewable energy system utilizing Modified DOI

Wang Zehao,

Chen Zile,

Simin Yang

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 74, С. 104186 - 104186

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

2

A comprehensive study of a green hybrid multi-generation compressed air energy storage (CAES) system for sustainable cities: Energy, exergy, economic, exergoeconomic, and advanced exergy analysis DOI

Mehdi Chahabi Bushehri,

Seyed Mohammad Zolfaghari,

M. Soltani

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105078 - 105078

Опубликована: Ноя. 22, 2023

Язык: Английский

Процитировано

37

Optimal parameters estimation of the proton exchange membrane fuel cell stacks using a combined owl search algorithm DOI

K.J. Yuan,

Yingying Ma, Hua Zhang

и другие.

Energy Sources Part A Recovery Utilization and Environmental Effects, Год журнала: 2023, Номер 45(4), С. 11712 - 11732

Опубликована: Окт. 2, 2023

ABSTRACTPEMFC (the proton exchange membrane fuel cell) is an extremely effective energy converter system that generates electricity through electrochemical reactions. Optimizing the design of PEMFC stacks important for their proper utilization and construction. In current essay, we present a novel strategy estimating optimal model parameters cell utilizing COSA (Combined Owl Search Algorithm), improved metaheuristic algorithm. We compared performance against other published methods, comprising COA, TLBO, BH, original OSA, BBO by employing them in three different cost functions. The results show achieved minimum error values to algorithms all case studies, with 0.01, 1.20, 0.93 BCS 500W PEMFC, NedStackPS6, SR-12 500 W stack models, respectively. Our proposed approach could be utilized optimize kinds cells integrated optimization strategies improve its upcoming efficiency. Future work can focus on simplifying algorithm structure reduce complexity during process. Overall, provides tool achieving more efficient stacks.KEYWORDS: Model parametersestimationproton cellSR-12 W, 500W, NedStackPS6combined owl search AcknowledgementsThis research was supported key scientific project Hunan Province "Research Virtual Anchor Technology Based Generative Adversarial Network era intelligent Media", number: 22A0703.Disclosure statementNo potential conflict interest reported author(s).Additional informationNotes contributorsKeke YuanKeke Yuan born Hunan, China, 1982. She received her Master's Degree Software Engineering from Central South University Changsha, China. currently Associate Professor Information Technology. Her mainly area Intelligent perception control, artificial intelligence. has 13 papers scholarly journals above areas. holds four chinese patents two software copyrights.Yingying MaYingying Ma 1984. Senior Experimentalist information collaboration distributed computing, computer science application. 17 conferrence proceedings copyrights.Hua ZhangHua Zhang 1976. Electronic Science Chengdu, image recognition processing, 25 copyrights.Navid RazmjooyDr. Navid Razmjooy Ph.D. Electrical (Control Automation) Tafresh University, Iran (2018). B. Sc. Ardabil branch IAU (2007), M.Sc. Isfahan honor Mechatronics (2011), opportunity internship Amirkabir (2017-2018). He 1988. working following subjects: Renewable Energies, Control, Interval analysis, Optimization, Image Processing, Machine Vision, Soft Computing, Data Mining, Evolutionary Algorithms, System Control. senior member IEEE/USA YRC IAU/Iran. been ranked among world's top 2% scientists world based Stanford University/Scopus database. than 150 6 books English Farsi peer-reviewed conferences now reviewer several national international which found https://publons.com/researcher/1595287/navid-razmjooy/.Noradin GhadimiNoradin Ghadimi degree Islamic Azad 2018. His interests are application intelligence heuristic methods power control design, operation planning restructuring. authored co-authored 4 Farsi, one book 2 chapters publishers 160 conference proceedings. Also, he collaborates as boards works editorial committee journals. served committees panels governmental, industrial, technical conferences. selected distinguished researcher times. 2013, 2014, 2019, 2020 also elected engineering field province Iran. Furthermore, included (highly cited researchers) Thomson Reuters' list percent most-cited 2019 -2020-21,

Язык: Английский

Процитировано

34

Optimal Design of the Proton-Exchange Membrane Fuel Cell Connected to the Network Utilizing an Improved Version of the Metaheuristic Algorithm DOI Open Access

Xuanxia Guo,

Noradin Ghadimi

Sustainability, Год журнала: 2023, Номер 15(18), С. 13877 - 13877

Опубликована: Сен. 18, 2023

Fuel cells are a newly developed source for generating electric energy. These produce electricity through chemical reaction between oxygen and hydrogen, which releases electrons. In recent years, extensive research has been conducted in this field, leading to the emergence of high-power batteries. This study introduces novel technique enhance power quality grid-connected proton-exchange membrane (PEM) fuel cells. The proposed approach uses an inverter following buck converter that reduces voltage. A modified pelican optimization (MPO) algorithm optimizes controller firing. comparison is made controller’s performance, based on recommended MPO various other approaches, demonstrating superior efficiency algorithm. study’s findings indicate current–voltage relationship (PEMFCs) follows logarithmic pattern, but becomes linear presence ohmic overvoltage. Furthermore, PEMFC operates at impressive 60.43% when running 8 A, it can deliver significant output under specific operating conditions. surpasses strategies terms reduction voltage deviation, highlighting its effectiveness managing stability, improving overall performance. Even during 0.2 sagging event, MPO-based successfully maintains cell near rated value, showcasing robustness optimized regulators. suggested also achieves accuracy maintaining stability across

Язык: Английский

Процитировано

30

Investigation of a tri-renewable energy system coupled with battery and hydrogen storages for a sustainable city DOI Creative Commons
Muhammad Ishaq, İbrahim Dinçer

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105291 - 105291

Опубликована: Фев. 22, 2024

A novel integrated energy system, where tri-renewable sources are coupled with a battery and hydrogen storage is proposed. The objective of this work to investigate evaluate the overall system thermodynamically. Solar, biomass, wind considered in development, potential needs community including electrical energy, space heating, charging stations, hot water fulfilled. fraction renewable solar stored form operate during off-peak time. then fueled proton exchange membrane (PEM) fuel cell produced for station. Several sensitivity analyses performed demonstrate effectiveness feasibility H2 system. share power (P2P) solution increases from 18.5% at photovoltaic (PV) area 250m2 45.4% PV 500m2. During mode, around 25.5MWh excess generated field. deployment 500 m2 can generate 769kg that tank, it 18.4MWh PEM cell. calculated results competitive round-trip efficiency 45.5%.

Язык: Английский

Процитировано

11

A multidisciplinary approach to select wind turbines for power-hydrogen production: Energy, exergy, economic, environmental under uncertainty prediction by artificial intelligence DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy Conversion and Management, Год журнала: 2024, Номер 310, С. 118489 - 118489

Опубликована: Май 4, 2024

Язык: Английский

Процитировано

11