Article
Energy & Fuels
Mingjiang Xie, Jianli Zhao, Ming J. Zuo, Zhigang Tian, Libin Liu, Jinming Wu
Summary: This study establishes a multi-objective optimization framework that considers the structure, availability, and multi-stage corrosion of pipeline systems. By combining with the general structure of pipeline systems, chromosome coding is designed to improve the efficiency of the evolutionary algorithm. The proposed methodology demonstrates effectiveness and accuracy in pipeline systems with different structures and parameters.
Article
Mechanics
Zheng Zhang, Chongjie Liao, Hao Chai, Xiangqi Ni, Kai Pei, Min Sun, Huaping Wu, Shaofei Jiang
Summary: The study proposes a multi-objective optimization technique for bistable laminates, utilizing surrogate models and the NSGA-II algorithm to obtain Pareto-optimal solutions. Experimental investigations validate the optimal designs of bistable laminates obtained through this technique.
COMPOSITE STRUCTURES
(2021)
Article
Energy & Fuels
Lei Gao, Zhen-Yu Zhao, Cui Li
Summary: This paper critically analyzed and applied a multi-objective optimization model to power grid investment. By establishing suitable objective functions, assumptions and constraints, and using the NSGA-II algorithm, the optimal solution to achieve the objectives of power grid investment was found, providing a reference for implementation.
Article
Chemistry, Multidisciplinary
Na Wei, Feng Yang, Kunming Lu, Jiancang Xie, Shaofei Zhang
Summary: This study proposed a multi-objective optimization and multi-attribute decision-making method for reservoir operation, using the NSGA-II-SEABODE algorithm to obtain decision-making schemes. The case study on the Huangjinxia Reservoir showed that the method can promote efficient utilization of water resources and improve the comprehensive benefits of reservoirs.
APPLIED SCIENCES-BASEL
(2022)
Article
Thermodynamics
Shima Soleimani, Steven Eckels
Summary: This paper proposes a methodology for optimizing the three-dimensional geometry of micro-fin surfaces and provides a numerical model to determine the flow physics of optimal geometries. By applying a multi-objective optimization algorithm, the study identifies the best trade-off solutions between enhancement of Nusselt number and Fanning friction factor.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Environmental Sciences
Richard Washington, Dmitriy Garmatyuk, Saba Mudaliar, Ram M. Narayanan
Summary: This study investigates the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in many-objective optimization scenarios for joint radar and communication functionality. The results show improved system performance based on selected weights for different objectives, thus validating the viability of the approach.
Article
Computer Science, Artificial Intelligence
Zhenan He, Gary G. Yen, Jinliang Ding
Summary: A novel knee-based decision-making method is proposed to search for solutions of interest from a large number of solutions on the Pareto front, ensuring the performance of these solutions approximates as much as possible the whole Pareto front. Additionally, a new visualization approach is developed to provide information about the shape, location, possible bulge, convergence degree, and distribution of solutions on MaOPs.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Multidisciplinary
Sukriti Tiwari, Ashwani Kumar, Vedik Basetti
Summary: This article addresses the problem of multi-objective optimal placement of mu PMUs in distribution systems, using non-dominated sorting genetic algorithm-II and PROMETHEE-II technique. The proposed solution has been compared with other methods and validated on real-world scenarios, demonstrating its superiority in finding Pareto optimal solutions and significant cost savings when using variable cost mu PMUs.
Article
Chemistry, Physical
Milan Joshi, Ranjan Kumar Ghadai, S. Madhu, Kanak Kalita, Xiao-Zhi Gao
Summary: The increasing popularity of micro-machining has led to widespread use of micro-turning and micro-milling in the manufacturing industry, where optimizing cutting parameters is crucial for performance but often presents conflicting objectives. This study utilizes metaheuristic multi-objective optimization algorithms to address this issue and compares the performance of NSGA-II, MOALO, and MODA in micro-machining applications by using the COPRAS method for assessing Pareto solutions.
Article
Computer Science, Artificial Intelligence
Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu, Yu Shan
Summary: This paper provides a comprehensive survey of research on the non-dominated sorting genetic algorithm (NSGA-II) and its potential future research. It introduces the concept of multi-objective optimization and the foundation of NSGA-II, reviews its family and their modifications, and classifies their applications in engineering. The paper also presents interesting open research directions for NSGA-II in multi-objective optimization.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Computer Science, Information Systems
Kai Zhang, Chaonan Shen, Juanjuan He, Gary G. Yen
Summary: The proposed MMO-EvoKnee algorithm incorporates MCDM strategy to efficiently search for a complete set of global knee solutions for MMOPs. It outperforms existing state-of-the-art MMOEAs and provides decision makers with well-converged alternative solutions.
INFORMATION SCIENCES
(2021)
Article
Materials Science, Multidisciplinary
Peng Zhang, Yiyu Qian, Quan Qian
Summary: Artificial intelligence and data science have accelerated research and development in new materials, with multiple objective optimization algorithms improving solution preferences. The NSGA-IIP, based on the NSGA-II algorithm, introduces cosine similarity in solution evaluation and utilizes four indicators to assess algorithm performance.
MATERIALS TODAY COMMUNICATIONS
(2021)
Article
Materials Science, Paper & Wood
Baogang Wang, Chunmei Yang, Yucheng Ding
Summary: This study proposed an improved multi-objective algorithm for solid wood panel layout optimization, addressing the issues of weak convergence ability, single-objective optimization, and poor optimization effect of traditional genetic algorithms. By increasing the search capability, improving the optimization effect, and achieving simultaneous optimization of multiple objectives, the improved algorithm showed better optimization and stability compared to the traditional algorithm.
Article
Thermodynamics
Aminu Yusuf, Nevra Bayhan, Hasan Tiryaki, Bejan Hamawandi, Muhammet S. Toprak, Sedat Ballikaya
Summary: This study examines the output performances of different equations in a hybrid system combining thermoelectric generators with concentrated photovoltaic cells, utilizing nanostructured thermoelectric materials. By optimizing parameters and selecting appropriate models, it was found that the system performs best when the load resistance is less than the internal resistance of the TEG.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Jingye Yang, Lei Gao, Zhenhong Ye, Yunho Hwang, Jiangping Chen
Summary: This paper compared various latest low-GWP refrigerants for ORC application and used NSGA-II for multi-objective optimization, ultimately determining R1224yd(Z) as the optimal working fluid for the current ORC system.
Article
Energy & Fuels
Sunirmit Verma, Sanjib Banerjee, Ranjan Das
Summary: The use of sinusoidal functions allows for the derivation of closed form solutions for the temperature of the cooking fluid and storage medium in a box-type solar cooker. The study investigates the effects of storage medium mass and cooking vessel area on the system's performance, and provides guidelines for the design of solar cookers with thermal storage.
Article
Thermodynamics
Sunirmit Verma, Ranjan Das
Summary: The effect of bottom surface thermal energy loss on a packed bed solar air heater is investigated using both numerical and analytical models. The study shows that the insulation thickness of the base has a significant impact on the system's output. A collector with no insulation on the base loses a large portion of the incident solar energy, while a thicker insulation reduces the loss fraction. The efficiency of the insulation decreases with larger collector size but increases with a higher mass flow rate of air. This research provides a mathematical tool to calculate the appropriate insulation thermal resistance for packed bed solar air heaters, optimizing thermal performance and minimizing insulation cost.
JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS
(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
Energy & Fuels
Kuljeet Singh, Caroline Hachem-Vermette
Summary: This work proposes a technique to enhance the infrastructure and energy resilience of new developments during the planning stage. It introduces several parameters to quantify resilience and suggests solutions such as relocating populations and designing onsite energy resources to eliminate vulnerabilities. The results demonstrate significant improvements in both infrastructure and energy resilience.
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)
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)