A Multi-Objective Optimal Design of Thermal Distribution Systems

1984 ◽  
Vol 106 (2) ◽  
pp. 142-147 ◽  
Author(s):  
K. Ito ◽  
S. Akagi ◽  
M. Ohta
Keyword(s):  
Distribution Systems ◽  
Numerical Study ◽  
Gradient Algorithm ◽  
Planning System ◽  
Piping System ◽  
Optimal Planning ◽  
Objective Functions ◽  
Total Size ◽  
Multi Objective ◽  
Thermal Distribution

A multi-objective nonlinear optimal planning method is proposed to design thermal distribution systems used for district heating. The following three objective functions are considered which are conflicting mutually and noncommensurable with one another; that is, 1) to minimize the total size of piping system, 2) to minimize the pump power, and 3) to minimize the total size of heat exchangers. Adopting the weighting method in multi-objective optimization, the abovementioned multi-objective functions are optimized by using the generalized reduced gradient algorithm. A man-machine interactive optimal planning system is developed to determine the optimally preferred solution from the set of Pareto optimal solutions derived by the method mentioned above. The validity and effectiveness of the design method proposed here are ascertained through a numerical study for a thermal distribution system, and it is certified that much worthwhile information can be obtained by the optimal planning system developed in this study.

scholarly journals Numerical study and parameter optimization of partial journal bearing using MOPSO algorithm

2019 ◽  
Vol 234 (1) ◽  
pp. 145-158
Author(s):  
SZ Mikaeeli ◽  
C Aghanajafi ◽  
P Akbarzadeh
Keyword(s):  
Particle Swarm Optimization ◽  
Numerical Study ◽  
Particle Swarm ◽  
Journal Bearings ◽  
Fluid Film ◽  
Radial Clearance ◽  
Objective Functions ◽  
Governing Equations ◽  
Swarm Optimization ◽  
Multi Objective

In this paper, multi-objective particle swarm optimization method is developed for optimizing thermo-hydrodynamic journal bearings. This paper focuses on the use of multi-objective particle swarm optimization algorithm with a combination of the thermal hydrodynamic governing equations of the fluid film (i.e. momentum and energy equations) to optimize hydrodynamic partial pad journal bearings and compare with other articles. The governing equations are solved by the central difference method with a successive over-relaxation scheme and the backward difference with an iterative technique. In the paper, the lubricant viscosity changes with the temperature variation in whole fluid film. In this optimization, the bearing power loss, the minimum oil film thickness, and the maximum oil temperature are considered as objective functions and the radial clearance and length to diameter ratio are selected as design variables. The results of the objective functions are compared to other articles. Also, this study discusses the entropy and availability of two concentric cylinders with low curvature and constant wall temperature. Calculations showed that by increasing the Eckert number, the availability increases.

A Multiobjective Optimization Approach to a Design Problem of Heat Insulation for Thermal Distribution Piping Network Systems

1983 ◽  
Vol 105 (2) ◽  
pp. 206-213 ◽  
Author(s):  
K. Ito ◽  
S. Akagi ◽  
M. Nishikawa
Keyword(s):  
Optimal Design ◽  
Multiobjective Optimization ◽  
Network Structure ◽  
Design Problem ◽  
Heat Insulation ◽  
Planning System ◽  
Piping System ◽  
Optimization Approach ◽  
Network Systems ◽  
Thermal Distribution

A multiobjective optimization method is applied to a design problem of heat insulation for thermal distribution piping network systems. As the system’s multiple design objectives, the following two mutually conflicting and noncommensurable objective functions are considered simultaneously: (a) minimization of the total amount of heat loss from the whole system, and (b) minimization of the total volume of heat insulating material installed into the whole system. First, for a piping system of fundamental network structure, the set of Pareto optimal solutions is derived for the optimal design problem mentioned above by adopting the weighting method and the generalized reduced gradient algorithm. Second, for the purpose of investigating the same problem for piping systems of more complex network structure, a computer-aided interactive planning system is developed based on decomposition and coordination principles in the theory of hierarchical multilevel systems. Lastly, the validity and the effectiveness of the optimal design method proposed here are ascertained through numerical studies for some typical piping network systems.

scholarly journals Re-Allocation of Distributed Generations Using Available Renewable Potential Based Multi-Criterion-Multi-Objective Hybrid Technique

2021 ◽  
Vol 13 (24) ◽  
pp. 13709
Author(s):  
Chandrasekaran Venkatesan ◽  
Raju Kannadasan ◽  
Dhanasekar Ravikumar ◽  
Vijayaraja Loganathan ◽  
Mohammed H. Alsharif ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Optimization Technique ◽  
Pso Algorithm ◽  
Optimization Techniques ◽  
Grey Wolf Optimizer ◽  
Hybrid Technique ◽  
Objective Functions ◽  
Distributed Generations ◽  
Multi Objective ◽  
Metaheuristic Optimization

Integration of Distributed generations (DGs) and capacitor banks (CBs) in distribution systems (DS) have the potential to enhance the system’s overall capabilities. This work demonstrates the application of a hybrid optimization technique the applies an available renewable energy potential (AREP)-based, hybrid-enhanced grey wolf optimizer–particle swarm optimization (AREP-EGWO-PSO) algorithm for the optimum location and sizing of DGs and CBs. EGWO is a metaheuristic optimization technique stimulated by grey wolves, and PSO is a swarm-based metaheuristic optimization algorithm. Hybridization of both algorithms finds the optimal solution to a problem through the movement of the particles. Using this hybrid method, multi-criterion solutions are obtained, such as technical, economic, and environmental, and these are enriched using multi-objective functions (MOF), namely minimizing active power losses, voltage deviation, the total cost of electrical energy, total emissions from generation sources and enhancing the voltage stability index (VSI). Five different operational cases were adapted to validate the efficacy of the proposed scheme and were performed on two standard distribution systems, namely, IEEE 33- and 69-bus radial distribution systems (RDSs). Notably, the proposed AREP-EGWO-PSO algorithm compared the AREP at the candidate locations and re-allocated the DGs with optimal re-sizing when the EGWO-PSO algorithm failed to meet the AREP constraints. Further, the simulated results were compared with existing optimization algorithms considered in recent studies. The obtained results and analysis show that the proposed AREP-EGWO-PSO re-allocates the DGs effectively and optimally, and that these objective functions offer better results, almost similar to EGWO-PSO results, but more significant than other existing optimization techniques.

Optimal Design of Tanker’s Pump and Piping Systems

1983 ◽  
Vol 105 (2) ◽  
pp. 201-205
Author(s):  
S. Akagi ◽  
K. Ito
Keyword(s):  
Design Method ◽  
Piping System ◽  
Optimal Planning ◽  
Pareto Optimal Solutions ◽  
Objective Functions ◽  
Planning Models ◽  
Piping Systems ◽  
Pump Head ◽  
Computer Aided Planning ◽  
Unloading Time

A computer-aided planning method is proposed to design pump and piping systems used for the tanker’s oil unloading process. The following two planning models are combined hierarchically for the purpose of investigating a system’s multiple design objectives simultaneously: (a) A multiobjective nonlinear optimal planning model is developed to determine the set of Pareto optimal solutions concerning pipe diameters and the pump head. In this model, the following two mutually conflicting and noncommensurable objective functions are minimized—the total piping system’s size, and the pump size. (b) A simulation model is developed to check the dynamic behavior of the oil unloading process, and the real unloading time is calculated together with oil level differences among tanks. The validity and effectiveness of the design method proposed here is ascertained through the numerical calculation for a real existing tanker’s pump and piping system.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

Multi-Objective Design Problem of Tire Wear and Visualization of Its Pareto Solutions2

2006 ◽  
Vol 34 (3) ◽  
pp. 170-194 ◽  
Author(s):  
M. Koishi ◽  
Z. Shida
Keyword(s):  
Inverse Problems ◽  
Conceptual Design ◽  
Dimensional Space ◽  
Design Stage ◽  
Objective Functions ◽  
Pareto Solutions ◽  
Design Problems ◽  
Multi Objective ◽  
Design Engineers ◽  
Design Variables

Abstract Since tires carry out many functions and many of them have tradeoffs, it is important to find the combination of design variables that satisfy well-balanced performance in conceptual design stage. To find a good design of tires is to solve the multi-objective design problems, i.e., inverse problems. However, due to the lack of suitable solution techniques, such problems are converted into a single-objective optimization problem before being solved. Therefore, it is difficult to find the Pareto solutions of multi-objective design problems of tires. Recently, multi-objective evolutionary algorithms have become popular in many fields to find the Pareto solutions. In this paper, we propose a design procedure to solve multi-objective design problems as the comprehensive solver of inverse problems. At first, a multi-objective genetic algorithm (MOGA) is employed to find the Pareto solutions of tire performance, which are in multi-dimensional space of objective functions. Response surface method is also used to evaluate objective functions in the optimization process and can reduce CPU time dramatically. In addition, a self-organizing map (SOM) proposed by Kohonen is used to map Pareto solutions from high-dimensional objective space onto two-dimensional space. Using SOM, design engineers see easily the Pareto solutions of tire performance and can find suitable design plans. The SOM can be considered as an inverse function that defines the relation between Pareto solutions and design variables. To demonstrate the procedure, tire tread design is conducted. The objective of design is to improve uneven wear and wear life for both the front tire and the rear tire of a passenger car. Wear performance is evaluated by finite element analysis (FEA). Response surface is obtained by the design of experiments and FEA. Using both MOGA and SOM, we obtain a map of Pareto solutions. We can find suitable design plans that satisfy well-balanced performance on the map called “multi-performance map.” It helps tire design engineers to make their decision in conceptual design stage.

TEKNOLOGI PENYEDIAAN AIR MINUM UNTUK KEADAAN TANGGAP DARURAT

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Arie Herlambang
Keyword(s):  
Water Quality ◽  
Emergency Response ◽  
Distribution Systems ◽  
Treatment Plant ◽  
Piping System ◽  
Process Technology ◽  
Treatment Technology ◽  
Disaster Victims ◽  
Ultra Filtration ◽  
Quality Water

In the event of natural disasters such as earthquakes, tsunamis, landslides, floods and droughts, water occupies a key role in disaster relief. The presence of water is important for drinking, cooking and support the refugee areas of environmental sanitation and avoiding disaster victims of diseases waterborn disease. Water problem in disaster conditions may occur partly as a result: the disturbance of water sources because change of water quality, to become turbid or salty, the destruction of a piping system, treatment plant damage, disruption of distribution systems, or the scarcity of water in evacuation areas. Introduction of water quality becomes important to determine which process technology will be used and saved investments in emergency conditions. Priority handling of clean water usually comes first in the refugee areas with communal system, because the need of water for bathing, washing and toilet is big enough, while for a drink in the early events during disaster dominated by bottled water, but for their long-term, they have to boil water. For remote areas and difficult to reach individuals who usually use  system more simple and easily operated. Water Supply Technology for emergency response has the characteristic 1). Able to operate with all sorts of water conditions (flexible adaptable), 2). Can be operated easily, 3). Does not require much maintenance, 4). Little use of chemicals, and 5). Portable and easy removable (Mobile System). Keywords :  Water Quality, Water Treatment Technology, Drinking Water, Emergency Response, filtration, ceramic filtration, Ultra filtration, Reverse Osmosis, Ultraviolet Sterilizer, Ozonizer, Disinfection.

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