Search Results - (( cooling system method algorithm ) OR ( using optimization method algorithm ))

Algorithm development for optimization of a refrigeration system by Izzat, Mohamad Adnan

“…The thesis describes the step by step the method to find an algorithm by using experimental data. …”
Get full text
Get full text

Design and Implementation of PID Controller for the Cooling Tower?s pH Regulation Based on Particle Swarm Optimization PSO Algorithm by Al-Najari B.M.A., Hen C.K., Paw J.K.S., Marhoon A.F.

“…The methodology is to calculate the transfer function of the PH loop using the system identification toolbox of MATLAB, to design and implement a PID controller, to optimize the PID controller response using particle swarm optimization PSO algorithm, and to make a comparison among several tuning methods such as Ziegler Nichols (ZN) tuning method, MATLAB tuner method, and PSO algorithm tuning method. …”

Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells by Dosymbetova G., Mekhilef S., Orynbassar S., Kapparova A., Saymbetov A., Nurgaliyev M., Zholamanov B., Kuttybay N., Manakov S., Svanbayev Y., Koshkarbay N.

“…The simulation of the cooling system operation was performed using various algorithms of the cooling system operation. …”

Optimized scheduling for an airconditioning system based on indoor thermal comfort using the multiobjective improved global particle swarm optimization by Haniff, Mohamad Fadzli, Selamat, Hazlina, Khamis, Nuraqilla, Alimin, Ahmad Jais

“…The main contribution of this paper is a new optimized AC scheduling approach that focuses on indoor thermal comfort using a new multi-objective optimization algorithm, called the improved global particle swarm optimization (IGPSO), which able to find better optimal solutions faster than its original version, the global particle swarm optimization (GPSO) algorithm. …”
Get full text
Get full text

An improved teaching-learning-based optimization for extreme learning machine in floating photovoltaic power forecasting by Mohd Redzuan, Ahmad, Nor Farizan, Zakaria, Mohd Shawal, Jadin, Mohd Herwan, Sulaiman

“…The proposed method achieved superior forecasting accuracy compared to benchmark algorithms including standard teaching-learning-based optimization with extreme learning machine, manta rays foraging optimization with extreme learning machine, moth flame optimization with extreme learning machine, ant colony optimization with extreme learning machine and salp swarm algorithm with extreme learning machine. …”
Get full text
Get full text
Get full text

Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

“…The early design of the augmented reality application exhibits potential for real-time data visualisation, providing insights into optimal detection distances and angles. This research lays the foundation for future investigations into integrating methods for stable augmented reality applications in cooling systems. …”
Get full text
Get full text

HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD by NGO , THI PHUONG THUY

“…The current research is focused on designing optimum heat exchanger system with minimum total cost in sequential. This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. …”
Get full text
Get full text

SENSORY EXPERT: DEVICE FOR SENSORY TEST by MOHD ADZMI, MOHD DANIAL AIMAN

“…In developing the algorithm for heat sensing, humidity and temperature sensor DHT 11 is used and the data of temperature is displayed in Blynk applications. …”
Get full text
Get full text

Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

“…In this research, a novel algorithm (Herschel Bulkley Network) is introduced to simulate the non-Newtonian fluid flow in a pipe using data redundant deep neural network (DNN) for fully developed, laminar, and incompressible flow conditions. …”
Get full text
Get full text

Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review by Ahmed, R., Mahadzir, S., Erniza B Rozali, N., Biswas, K., Matovu, F., Ahmed, K.

“…Subsequently, the application of CI approaches has increased dramatically in the optimization of refrigeration systems, where GA and its variants are typically used, and authors are more interested in multi-objective optimization. …”
Get full text
Get full text

Condition monitoring of deep drilling process for cooling channel making in hot press die by Muhamad Aslam, Abdul Raub

“…Consequently, ANN is the most suitable method to classify tool condition, and are capable to be employed for online tool failure detection system which is beneficial for optimizing tool condition in industries.…”
Get full text
Get full text

Numerical study on natural convection in inclined enclosures with non-uniform boundary conditions / Cheong Huey Tyng by Cheong, Huey Tyng

“…This approach reduces the complexity in physical quantities for solving the system of partial differential equations. The finite difference method is used to discretize the set of partial differential equations. …”
Get full text
Get full text

Application Studies, Part-I: Model Identification and Validation by Lemma, T.A.

“…Secondly, the use of the static and dynamic models developed for the critical sub-systems GTG, HRSG and SAC are investigated in Sect. 6.3. …”
Get full text
Get full text

Application Studies, Part-I: Model Identification and Validation by Lemma, T.A.

“…Secondly, the use of the static and dynamic models developed for the critical sub-systems GTG, HRSG and SAC are investigated in Sect. 6.3. …”
Get full text
Get full text

Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems by Senawi, M. Y.

“…Algorithms are developed for simulation of six generic cool thermal energy storage (CTES) systems. …”
Get full text
Get full text

Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances by Nurul Afiqah, Zainal, A. R., Yusoff, Ajisman, Apen

“…The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. …”
Get full text
Get full text
Get full text

Modelling of an interacting series process for rector cooling system using system identification method by Mohammad Abdul Aziz, Nur Aina, Che Soh, Azura, Abdul Rahman, Ribhan Zafira, Abdul Karim, Julia

Get full text
Get full text

Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller by Nurul Afiqah, Zainal

“…To achieve the maximum power point (MPP) of PV panel, fuzzy logic (FL) based constant voltage (CV) algorithm is applied to the system. The aim of this project is to develop an efficient standalone PV system with cooling system. …”
Get full text
Get full text

INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER by HARUNA, AHMED ABBA

“…Accordingly, power supply for cooling such systems in a DC is up until 40% to 50% of the total power consumption. …”
Get full text
Get full text

Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
Get full text
Get full text