Article
Mathematics
Tao Liu, Jiayuan Yu, Yuanjin Zheng, Chao Liu, Yanxiong Yang, Yunfei Qi
Summary: This paper investigates the parameter identification problem of partial differential equations with constraints and introduces a nonlinear multigrid method for parameter inversion. The results show that this method reduces the dimensions of objective functions, effectively mitigates the risk of trapping in local minima, and significantly improves the convergence ability of the method through constraints.
Article
Thermodynamics
Sultan Alpar, Julien Berger, Bolatbek Rysbaiuly, Rafik Belarbi
Summary: This article proposes an inverse analysis method to determine the thermophysical properties of two different soil types using experimental data and numerical algorithm, and carries out efficient simulations.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Automation & Control Systems
Gai-Ge Wang, Da Gao, Witold Pedrycz
Summary: The job-shop scheduling problem is of great practical significance, but is difficult to solve due to many uncontrollable factors. The introduction of fuzzy processing time and completion time allows for a more comprehensive scheduling model, which can be optimized using a hybrid adaptive differential evolution algorithm. Experimental results show that this algorithm outperforms other state-of-the-art algorithms.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Yingjie Song, Xing Cai, Xiangbing Zhou, Bin Zhang, Huiling Chen, Yuangang Li, Wuquan Deng, Wu Deng
Summary: This paper proposes an optimization algorithm QGDECC, which combines quantum evolutionary algorithm and genetic algorithm, to effectively schedule railway train delay. The algorithm is validated on benchmark functions and actual train operation data, and the results show that QGDECC has higher adaptability and convergence speed, and can effectively eliminate the impact of delay on the railway network.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Songtao Ji, Jurij Karlovsek
Summary: This study proposes an optimized differential evolution calibration method (OpDEC) for calibrating cohesive granular DEM material, which can achieve high accuracy of macro mechanical properties in a relatively short time. A calibration evolutionary health monitoring scheme is designed to improve the reliability of the calibration results.
ENGINEERING WITH COMPUTERS
(2023)
Article
Mathematics, Applied
Ibrahim Tekin
Summary: This article studies the inverse problem of recovering a time-dependent coefficient of a nonlinear third order PDE from knowledge of a one boundary measurement.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Thermodynamics
Wen Long, Jianjun Jiao, Ximing Liang, Ming Xu, Mingzhu Tang, Shaohong Cai
Summary: The paper introduces a novel hybrid optimization algorithm (HSOA) for accurately estimating unknown parameters of PV models, showing through experiments that it outperforms traditional methods.
Article
Computer Science, Artificial Intelligence
Zuowen Liao, Fangyang Zhu, Xianyan Mi, Yu Sun
Summary: This article presents a neighborhood information-based adaptive differential evolution (NIADE) algorithm for detecting and tracking multiple roots of nonlinear equation systems. NIADE features a dynamic neighborhood size mechanism, a novel mutation strategy based on neighborhood information, and combines neighborhood information with adaptive parameter adjustment for improved efficiency.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematics, Applied
Sultan Alpar, Bolatbek Rysbaiuly
Summary: This paper presents a detailed and developed method for finding soil nonlinear thermo-physical characteristics using two-layer container complexes and numerical simulations. The method aims to accurately solve the boundary value problem and provide initial data for inverse coefficient problems. The paper also discusses the differences between the solutions of linearized and nonlinear difference schemes. Rating: 9/10
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Multidisciplinary Sciences
Ammara Mehmood, Muhammad Asif Zahoor Raja
Summary: The application of evolutionary computing paradigm-based heuristics for system modeling and parameter estimation of complex nonlinear systems has been widely explored. This study investigates the use of weighted differential evolution (WDE) in estimating the parameters of Hammerstein-Wiener model (HWM) and compares it with state-of-the-art methods. The HWM parameters are estimated using the WDE and genetic algorithms (GAs) heuristics, and the worth and value of the designed WDE algorithm is demonstrated through extensive graphical and numerical comparisons.
JOURNAL OF ADVANCED RESEARCH
(2023)
Article
Thermodynamics
S. Hosseinzadeh, Kh Hosseinzadeh, A. Hasibi, D. D. Ganji
Summary: This study investigates the thermal performance of a moving porous fin wetted with hybrid nanofluid with different cross-sections in the presence of a magnetic field. Three different cross-sections (trapezoidal, concave parabolic, and convex) are used as an innovation. The impact of various characteristics on the dimensionless temperature is thoroughly examined, and the results show that Akbari-Ganji's method has good accuracy in solving heat transfer equations related to moving porous fin.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Hafiz Tayyab Rauf, Waqas Haider Khan Bangyal, M. Ikramullah Lali
Summary: Differential evolution (DE) is a simple yet robust evolutionary algorithm used for optimization problems. Two variations, APSDE and CMHDE-PSO, have been proposed to improve DE's convergence and execution performance. Experimental results show that both APSDE and CMHDE-PSO outperform other algorithms in function optimization and weight optimization for neural networks.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Yang Yu, Kaiyu Wang, Tengfei Zhang, Yirui Wang, Chen Peng, Shangce Gao
Summary: This study proposes a novel differential evolution variant (PDcDE) for the parameter estimation of solar photovoltaic (PV) models. The PDcDE algorithm features an auto-controlled population strategy, a diversity-controlled parameter setting method, and a backward search to enhance its performance. Comparative results demonstrate the superior efficiency and effectiveness of PDcDE in the parameter estimation of PV systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Chemistry, Physical
Guojiang Xiong, Jing Zhang, Dongyuan Shi, Lin Zhu, Xufeng Yuan
Summary: CHDJ is a hybrid metaheuristic optimizer that effectively identifies accurate values for the model parameters of solid oxide fuel cells. It utilizes competitive hybrid operations to explore global space and exploit local regions, generating promising candidate solutions. Experimental results demonstrate that CHDJ achieves good performance under different operating conditions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Shangce Gao, Kaiyu Wang, Sichen Tao, Ting Jin, Hongwei Dai, Jiujun Cheng
Summary: The DPDE optimization method is proposed for parameter estimation of various solar PV models, which shows better solution accuracy compared to fifteen other algorithms in experiments. Statistical results indicate that DPDE is the most robust and best performing algorithm for parameter estimation of PV systems.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Gaurav Singh, Ranjan Das
Summary: This study proposes a novel VRF strategy that integrates solar energy and desiccant-assisted DOAS to improve indoor air quality. Energyplus simulations show that the system achieves significant energy savings across different climatic conditions.
Article
Physics, Multidisciplinary
G. K. Ramesh, J. K. Madhukesh, Ranjan Das, Nehad Ali Shah, Se-Jin Yook
Summary: The aim of this study is to explore the performance of a ternary nanofluid on a slippery surface and analyze its interaction with fluids. The results of the study show that increasing the value of the suction parameter slows down the temperature change, while the slip, Biot number, and heat source/sink parameter accelerate it. Moreover, the ternary nanofluid exhibits a higher rate of thermal distribution, indicating a wide range of practical applications.
WAVES IN RANDOM AND COMPLEX MEDIA
(2022)
Article
Environmental Sciences
Sunirmit Verma, Ranjan Das
Summary: This study revisits the performance of a solitary basin solar still aided by external heat addition. An expression for the maximum possible effectiveness of the exchanger is derived, and improved closed form solutions for the still water temperature and still productivity are obtained. The results show that the present analytical solutions are superior to other iterative solutions in the literature, and suggest an optimum water thickness for maximizing system productivity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Gaurav Singh, Ranjan Das
Summary: Air conditioning in composite weather presents challenges and importance resembling various climate conditions. The separation of cooling and ventilation tasks through a dedicated outdoor air system (DOAS) is an attractive technique for designing energy-efficient air-conditioning systems. This study analyzes the electrical energy consumption of a building's air-conditioning unit when modifications are made to the desiccant-integrated DOAS's air pathway. Simulation results demonstrate that using a heat wheel instead of an indirect evaporation cooler (IEC) can save approximately 2994 kWh of thermal energy with a 5.04% reduction in electrical energy consumption. The suggested design also provides a higher solar fraction.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2023)
Article
Green & Sustainable Science & Technology
Sunirmit Verma, Ranjan Das
Summary: This study investigates the impact of turbidity in the insulating zone on the optimum dimensions of a turbid solar pond. The results show that turbidity can cause significant alterations in the optimal pond dimensions, regardless of the optimization criterion used.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Alok Ranjan, Ranjan Das, Sameer S. Gajghate, Debabrata Barik, Himadri Majumder, Elaine M. Cardoso, Arindam Majumder, Sagnik Pal, Madhujit Deb
Summary: This paper numerically investigates split hemispherical fins mounted staggered over a base plate. The results show that compared to cylindrical fins, hemispherical fins have higher Nu values and ΔP values. The HTPF values of hemispherical fins are greater than unity for all considered Reynolds numbers. Additionally, the hemispherical fins are split into longitudinal and transverse flow directions for better solid-fluid interaction. Finally, the optimum Nu value is obtained using the cuckoo search algorithm and response surface method, with a promising result and a small error.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Thermodynamics
Sandipan Deb, Mantu Das, Dipak Chandra Das, Sagnik Pal, Ranjan Das, Ajoy Kumar Das
Summary: Experimental investigations were conducted to analyze the evaporation heat transfer of R407c inside a horizontal microfin Cu-tube. The results showed that heat transfer coefficients increase with mass flux, vapor quality, saturation temperature, hydraulic diameter, and heat flux. Additionally, correlations of evaporation heat transfer were established using the interpolation technique in LINGO software.
HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Sandipan Deb, Kanade Paresh Mahesh, Mantu Das, Dipak Chandra Das, Sagnik Pal, Ranjan Das, Ajoy Kumar Das
Summary: The flow boiling heat transfer performance of horizontal smooth and microfin tubes using the refrigerant R407c was investigated. Experimental results showed that the heat transfer rate of the microfin tube is superior to the smooth tube, with a heat transfer enhancement percentage of 28-280%. Additionally, the pressure drop in the microfin tube was increased by 68-110% compared to the smooth tube. A sensitivity analysis was also carried out for flow boiling heat transfer phenomenon via the smooth tube.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Engineering, Mechanical
Ajithram Arivendan, Winowlin Jappes Jebas Thangiah, Ranjan Das, Desai Ahamad, Gandhapodi Kothandaraman Chithra
Summary: Water hyacinth is a common free-floating aquatic plant with fast growth and extensive spread. The government has invested a significant amount of money to remove it as it is considered waste. This paper discusses the effective use of water hyacinth in wastewater treatment, converting it into fiber and producing a composite material. Tests have shown that the water hyacinth fiber reinforced composite has high tensile strength, flexural strength, and impact strength. The results suggest that water hyacinth can be better utilized in the production of commercial household applications and lightweight materials.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Engineering, Mechanical
Alok Ranjan, Ranjan Das, Sagnik Pal, Arindam Majumder, Madhujit Deb
Summary: This paper investigates the thermal and fluid flow behavior of porous and non-porous fins. The study includes analysis and validation of solid heat sink with circular fins, as well as making circular tapered porous fin of the same volume and height as the uniform circular fin. The study considers various geometrical parameters and evaluates the value of Nusselt number, friction factor, and thermal performance factor. The optimized combination is obtained through cuckoo search optimization using the response surface method.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2023)
Article
Energy & Fuels
Sunirmit Verma, Chetan Aggarwal, Ranjan Das
Summary: In this study, a waste heat exchanger with a thick separating wall is proposed to store waste heat energy and use it when waste heat is not available. The effects of various user-controlled parameters on the system performance have been investigated. It is observed that increasing the exchanger length, width, thicknesses of the separating wall and cold fluid flow passage reduce the outlet cold fluid temperature during the time waste heat is available, while the opposite effect is exhibited when waste heat is unavailable.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Eric Swayze, Kuljeet Singh
Summary: The present paper aims to develop a generalized decision-making framework for estimating the optimal sizing and economic and environmental viability of natural gas and solar-based trigeneration systems. It has been demonstrated on eight different building types in five North American locations. The proposed decision-making method can be applied to other locations to determine the most viable building applications for solar and natural gas-based trigeneration systems.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Alok Ranjan, Ranjan Das, Debabrata Barik, Sagnik Pal, Arindam Majumder, Madhujit Deb, Milon Selvam Dennison
Summary: Researchers are investigating the infusion of various fin geometry over the heated plate to enhance the heat transfer phenomenon. The study numerically analyzes the fluid flow pattern and thermodynamic analysis of porous-based split elliptical fins mounted staggered over a heated base plate, with Reynolds numbers ranging from 783 to 1839.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Caroline Hachem-Vermette, Kuljeet Singh
Summary: This research explores the impact of neighbourhood design on reducing energy vulnerability during power disruptions. It analyzes the architectural design and energy characteristics of buildings to identify potential local shelters for evacuations and available renewable energy sources during outages. Sustainable neighbourhoods in North American urban developments are considered, and various response scenarios are designed and analyzed. The study highlights the importance of neighbourhood design in different scenarios and provides recommendations for enhancing resilience, including prioritizing buildings with lower energy intensity for evacuations and adjusting shelter design guidelines.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Multidisciplinary Sciences
Zeeshan Haydar, Travis. J. Esau, Aitazaz. A. Farooque, Qamar. U. Zaman, Patrick. J. Hennessy, Kuljeet Singh, Farhat Abbas
Summary: A deep learning-supported machine vision control system has been developed to detect the height of wild blueberries and precisely adjust the harvester's head. The system performed well in weed-free areas but further work is required for weedy sections of the fields.
SCIENTIFIC REPORTS
(2023)