Application of Extremal Distributions in the Design of Thermal Systems

1980 ◽  
Vol 102 (3) ◽  
pp. 481-489 ◽  
Author(s):  
S. S. Rao ◽  
B. D. Gupta
Keyword(s):  
Optimum Design ◽  
Optimization Technique ◽  
Unconstrained Minimization ◽  
Design Parameters ◽  
Penalty Function Method ◽  
Cooling Load ◽  
Extreme Value Distributions ◽  
Thermal Systems ◽  
Maximum Daily Temperature ◽  
Total Cost

Three types of extreme value distributions are fitted to the maximum daily temperature and solar radiation. It is found that type III distribution for the largest value fits the data most closely. A methodology using the maximum yearly temperature data and extremal distributions is developed for the optimum design of refrigerated warehouses. The use of the concept of return period in the optimum design of thermal systems is also suggested. The interior penalty function method with Davidon-Fletcher-Powella method of unconstrained minimization is used as the optimization technique for solving the problems. A sensitivity analysis is conducted about the optimum design point to find the influence of changes in various design parameters on the cooling load and total cost.

Automated Optimum Design of Refrigerated Warehouses

1979 ◽  
Vol 101 (4) ◽  
pp. 633-639
Author(s):  
B. D. Gupta ◽  
S. S. Rao
Keyword(s):  
Optimum Design ◽  
Meteorological Data ◽  
Operating Cost ◽  
Building Envelope ◽  
Penalty Function Method ◽  
Functional Requirements ◽  
Existing Building ◽  
Total Cost ◽  
Initial Cost ◽  
Average Maximum

The main consideration in the design of refrigerated commercial warehouses, apart from energy required for operation, is the total cost (initial plus operating costs). There is no simple explicit relation between the total cost and the energy required to maintain the desired inside conditions. Qualitatively, one feels that a design involving less initial cost requires larger energy input and hence a higher operating cost. With limited energy resources, it is necessary to conserve energy or use it optimally. A unified approach to find the optimal combination of initial cost and operating cost (energy) is presented in this paper. Since the thickness of insulation is one of the important factors to be considered in reducing the external load and hence the energy requirements, the optimum building envelope and insulation thicknesses are found for a specified volume and location by using the interior penalty function method of optimization. The procedure outlined in this paper can be used for new as well as existing building to fulfill the functional requirements optimally and thus conserve the energy to the greatest possible extent. For the computation of heat gain, the design day, based on the average maximum solar air temperature computed from the hourly meteorological data, is chosen. The resulting computer program is used to find the effect of some of the parameters like wall thickness, type of insulation, orientation of building and economics model on the optimum design.

Reliability-based optimum design for mechanical problems using genetic algorithms

2008 ◽  
Vol 222 (9) ◽  
pp. 1791-1799 ◽  
Author(s):  
Y-T Tsai ◽  
H-C Chang
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Optimization Technique ◽  
Structural Complexity ◽  
Optimal Solution ◽  
Unconstrained Minimization ◽  
Reliability Design ◽  
Performance Indexes ◽  
Design Variables ◽  
Relationship Of

A reliability oriented design approach for mechanical or structural components is implemented primarily based on strength—stress interference (SSI) theory. This paper demonstrates a principle for combining SSI theory and an optimization technique for developing a reliability-based optimum design for mechanical problems. The independently paired information (strength and stress distributions) are basic while progressing reliability design. For a complex system, the independently paired information sometimes is not easily clarified due to the structural complexity or the coupled relationship of the loads. To treat these problems, the paper proposes to express the independently paired information from the viewpoint of supply-requirement of a design in performance. The supply (provided by a design) is analogized to the strength as well as the requirement (requested by the customer) to the stress. Based on the viewpoint of supply-requirement, the paper presents four types of performance-related reliability measurement to fulfil reliability design for mechanical problems. The reliability measurements are derived according to the related design variables that formulate the performance indexes. Next, the designed problem expressed with probabilistic formulation is transformed into an unconstrained minimization problem subjected to the constraints of the performance needs and its reliability target. Genetic algorithms (GAs) are used to find the optimal solution for the reliability design problem. The related theories and an example of design are reported in this paper to depict the proposed method.

Dynamic Reliability-Based Seismic Optimal Design of Base-Isolated Structures

2011 ◽  
Vol 243-249 ◽  
pp. 3765-3769 ◽  
Author(s):  
Tian Li Huang ◽  
Wei Xin Ren
Keyword(s):  
Optimal Design ◽  
Seismic Design ◽  
Governing Equation ◽  
Optimization Technique ◽  
Design Parameters ◽  
Penalty Function Method ◽  
Isolation System ◽  
Dynamic Reliability ◽  
Isolated Structures ◽  
Reliability Based Optimization

This paper presents a dynamic reliability-based optimization technique for the seismic design of base-isolated structures. Firstly, the governing equation of multi-degree-of-freedom base-isolated structures is established. Then, the superstructure is unfolded by the first mode. Considering that the damping is non-classical and the total base-isolation system is un-symmetric, the complex modal analysis is adopted to uncouple the governing equation and the analytical solutions of stochastic seismic response under the Kanai-Tajimi spectrum loading are obtained. Taking the ratio between the first-order modal displacement standard deviation of the superstructure with base- isolated system and the fixed-base structure as the optimal objective function, the dynamic reliability of the isolated system displacement as the constraint, the optimal design parameters of the isolated system are obtained through the penalty function method. A 3-story building with isolated system illustrates the proposed dynamic reliability-based optimization method. It is believed that such an optimization technique provides an effective tool for the seismic design of base-isolated structures.

Optimum Design of Air-Conditioned Buildings

1980 ◽  
Vol 102 (3) ◽  
pp. 476-480 ◽  
Author(s):  
B. D. Gupta ◽  
S. S. Rao
Keyword(s):  
Optimum Design ◽  
Meteorological Data ◽  
Operating Cost ◽  
Design Parameters ◽  
Penalty Function Method ◽  
Unified Approach ◽  
Initial Cost ◽  
Average Maximum ◽  
Insulation Thickness ◽  
Explicit Relation

The main consideration in the design of thermally insulated buildings, apart from the energy required for operation, is the total (initial plus operating) cost. There is no simple explicit relation between the total cost and energy required to maintain the desired inside conditions which are dependent on the uncontrollable outside conditions. With limited energy resources, it is necessary to conserve energy or use it optimally. A unified approach to find the optimal combination of initial cost and operating cost (energy) or total energy requirements (cooling plus heating) for air-conditioned buildings is presented in this paper. Since the thickness of insulation is one of the important factors to be considered in reducing the external load, the optimum values of insulation thickness for walls and roof are found by using the interior penalty function method of minimization. For the computation of heat gain through external walls and roof, a design day based on the average maximum solar-air temperature (computed from the hourly meteorological data) is chosen. The sensitivity of optimum design with respect to design parameters is also found.

Multi-Objective Optimization Technique Applied to Preliminary Design of a Tanker

2008 ◽  
Author(s):  
Marcelo R. Martins ◽  
Diego F. S. Burgos
Keyword(s):  
Genetic Algorithm ◽  
Early Stage ◽  
Optimization Technique ◽  
Pareto Frontier ◽  
Design Parameters ◽  
Preliminary Design ◽  
Multi Objective Optimization ◽  
Total Cost ◽  
Rational Process

This paper shows one rational process of selecting the optimal dimensions and coefficients of form of tankers using the technique of genetic algorithm in the early stage of design. Two objective attributes are used to evaluate each design: Total Cost and Mean Oil Outflow. It is proposed a procedure to balance the designs in weight and useful space and assesses their feasibility. A genetic algorithm is implemented to search optimal design parameters and identify the non-dominated Pareto frontier. A real Suezmax vessel is used as case study.

Multi-Tuned Optimum Vibration Absorbers for Curved Beams

2009 ◽  
Author(s):  
Fan Yang ◽  
Ramin Sedaghati ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Optimum Design ◽  
Vibration Suppression ◽  
Equations Of Motion ◽  
Optimization Technique ◽  
Tuned Mass Damper ◽  
Design Parameters ◽  
Curved Beam ◽  
Curved Beams ◽  
Mass Damper ◽  
Beam Type

Detailed investigations on the vibration suppression of beam-type structures using Multiple Tuned Mass Damper (MTMD) technology has been carried out in this study. A general curved beam has been utilized as a case study to illustrate the developed optimum design methodology. The governing differential equations of motion for the curved beam with the attached MTMD systems have been derived, and then solved using the finite element method. A hybrid optimization methodology, which combines the global optimization method based on Genetic Algorithm (GA) and the local optimization technique based on Sequential Quadratic Programming (SQP), has been developed. This has been utilized to find the optimum design parameters (damping coefficient, spring stiffness and position coordinate) of the attached Tuned Mass Damper (TMD) systems in order to suppress the vibration levels at a particular mode or several modes, simultaneously. Finally, a design principle for vibration suppression of beam-type structures using the MTMD technology has been proposed through extensive numerical investigations.

Thermoeconomic Optimization for a Ferroelectric Ericsson Refrigerator

2014 ◽  
Vol 1070-1072 ◽  
pp. 1780-1784
Author(s):  
Li Shuang Wu ◽  
Jin Mei Wu ◽  
Hui Shan Yang
Keyword(s):  
Heat Transfer ◽  
Energy Consumption ◽  
Optimization Technique ◽  
Ferroelectric Materials ◽  
Refrigeration Cycle ◽  
Finite Time Thermodynamics ◽  
Cooling Load ◽  
Performance Parameters ◽  
Objective Functions ◽  
Total Cost

Using the finite-time thermodynamics, based on the thermodynamics properties of ferroelectric materials and a linear heat-transfer law, the inherent regenerative losses in the cycle are calculated and the fundamental optimum relations and other relevant performance parameters are determined. The thermoeconomic optimization for ferroelectric Ericsson refrigeration-cycle is reported. The cooling load for the refrigerator per unit total cost is proposed as objective functions for the optimization. The optimum performance parameters which maximize the objective functions are investigated. Since the optimization technique consists of both investment and energy consumption costs, the obtained results are more general and realistic.

Thermoeconomic Optimization for a Ferroelectric Stirling Refrigeration-Cycle

2014 ◽  
Vol 700 ◽  
pp. 175-178
Author(s):  
Hui Shan Yang ◽  
Jin Mei Wu ◽  
Li Shuang Wu ◽  
Zhi Wei Wu
Keyword(s):  
Optimization Technique ◽  
Ferroelectric Material ◽  
Refrigeration Cycle ◽  
Finite Time Thermodynamics ◽  
Cooling Load ◽  
Performance Parameters ◽  
Objective Functions ◽  
Regenerative Processes ◽  
Cycle Model ◽  
Total Cost

Using the finite-time thermodynamics, an irreversible cycle model of the Stirling refrigeration-cycle, using a ferroelectric material as the working substance, is established. Several irreversibilities due to thermal resistances between the working substance and the heat reservoirs, regenerative losses in two regenerative processes are taken into account. The influence of these irreversible losses on the performance of the ferroelectric Stirling refrigeration-cycleis analyzed. The thermoeconomic optimization for ferroelectric Stirling refrigeration-cycle is reported. The cooling load for the refrigerator per unit total cost is proposed as objective functions for the optimization. The optimum performance parameters which maximize the objective functions are investigated. Since the optimization technique consists of both investment and energy consumption costs, the obtained results are more general and realistic.

scholarly journals Multi-Objective Energy Management and Charging Strategy for Electric Bus Fleets in Cities Using Various ECO Strategies

2021 ◽  
Vol 13 (14) ◽  
pp. 7865
Author(s):  
Mohammed Mahedi Hasan ◽  
Nikos Avramis ◽  
Mikaela Ranta ◽  
Andoni Saez-de-Ibarra ◽  
Mohamed El Baghdadi ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Thermal Management ◽  
Energy Management ◽  
Management Strategy ◽  
Energy Requirement ◽  
Optimization Technique ◽  
Total Cost ◽  
Multi Objective ◽  
Battery Capacity ◽  
Eco Features

The paper presents use case simulations of fleets of electric buses in two cities in Europe, one with a warm Mediterranean climate and the other with a Northern European (cool temperate) climate, to compare the different climatic effects of the thermal management strategy and charging management strategy. Two bus routes are selected in each city, and the effects of their speed, elevation, and passenger profiles on the energy and thermal management strategy of vehicles are evaluated. A multi-objective optimization technique, the improved Simple Optimization technique, and a “brute-force” Monte Carlo technique were employed to determine the optimal number of chargers and charging power to minimize the total cost of operation of the fleet and the impact on the grid, while ensuring that all the buses in the fleet are able to realize their trips throughout the day and keeping the battery SoC within the constraints designated by the manufacturer. A mix of four different types of buses with different battery capacities and electric motor specifications constitute the bus fleet, and the effects that they have on charging priority are evaluated. Finally, different energy management strategies, including economy (ECO) features, such as ECO-comfort, ECO-driving, and ECO-charging, and their effects on the overall optimization are investigated. The single bus results indicate that 12 m buses have a significant battery capacity, allowing for multiple trips within their designated routes, while 18 m buses only have the battery capacity to allow for one or two trips. The fleet results for Barcelona city indicate an energy requirement of 4.42 GWh per year for a fleet of 36 buses, while for Gothenburg, the energy requirement is 5 GWh per year for a fleet of 20 buses. The higher energy requirement in Gothenburg can be attributed to the higher average velocities of the bus routes in Gothenburg, compared to those of the bus routes in Barcelona city. However, applying ECO-features can reduce the energy consumption by 15% in Barcelona city and by 40% in Gothenburg. The significant reduction in Gothenburg is due to the more effective application of the ECO-driving and ECO-charging strategies. The application of ECO-charging also reduces the average grid load by more than 10%, while shifting the charging towards non-peak hours. Finally, the optimization process results in a reduction of the total fleet energy consumption of up to 30% in Barcelona city, while in Gothenburg, the total cost of ownership of the fleet is reduced by 9%.

scholarly journals Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

2021 ◽  
Vol 54 (3-4) ◽  
pp. 303-323
Author(s):  
Amjad J Humaidi ◽  
Huda T Najem ◽  
Ayad Q Al-Dujaili ◽  
Daniel A Pereira ◽  
Ibraheem Kasim Ibraheem ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Trajectory Tracking ◽  
Fuzzy Logic Controller ◽  
Optimization Technique ◽  
Parallel Robot ◽  
Design Parameters ◽  
Social Spider ◽  
Social Spider Optimization ◽  
Interval Type

This paper presents control design based on an Interval Type-2 Fuzzy Logic (IT2FL) for the trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The design of Type-1 Fuzzy Logic Controller (T1FLC) is also considered for the purpose of comparison with the IT2FLC in terms of robustness and trajectory tracking characteristics. The scaling factors in the output and input of T1FL and IT2FL controllers play a vital role in improving the performance of the closed-loop system. However, using trial-and-error procedure for tuning these design parameters is exhaustive and hence an optimization technique is applied to achieve their optimal values and to reach an improved performance. In this study, Social Spider Optimization (SSO) algorithm is proposed as a useful tool to tune the parameters of proportional-derivative (PD) versions of both IT2FLC and T1FLC. Two scenarios, based on two square desired trajectories (with and without disturbance), have been tested to evaluate the tracking performance and robustness characteristics of proposed controllers. The effectiveness of controllers have been verified via numerical simulations based on MATLAB/SIMULINK programming software, which showed the superior of IT2FLC in terms of robustness and tracking errors.

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