The method of dynamic objects parametric identification via its phase-frequency characteristics is described. A comparison and selection of the first-order numeric methods for a solution of the least ...squares task is done. A parametric identification of the real plant via its empiric characteristics is implemented. A comparison of the developed method and method «procest», which is realized in the CAD MATLAB, is done.
This article will start from how to calculate the volume of Steinmetz Solid by double integration, and expand to formation, cross section and unfolding of it by Matlab in a brand new way, in order to ...explore the internal structure and application. Further, we expand to polygonal Steinmetz Solid by Matlab to acquire more comprehensive understanding and mastery of it.
Abstract According to investigate the current situation of the envelope of LNG unloading arm, this paper in view of the relationship between the structure and the envelope of LNG unloading arm, a ...complete set of calculation program is designed by using the app designer of MATLAB which can automatically generate the envelope according to the hydrological conditions. The program can be used to guide the emergency disengagement process of the unloading arm in case it can work safely on the LNG terminal in the actual project. This paper provides a design basis for promoting the domestic development of LNG unloading arm.
•Sensitivity analysis (SA) approach is used to quantify the effects of correlated input parameters on model outputs.•Penalized spline regression model is used to approximate complex data.
We provide ...a sensitivity analysis toolbox consisting of a set of Matlab functions that offer utilities for quantifying the influence of uncertain input parameters on uncertain model outputs. It allows the determination of the key input parameters of an output of interest. The results are based on a probability density function (PDF) provided for the input parameters. The toolbox for uncertainty and sensitivity analysis methods consists of three ingredients: (1) sampling method, (2) surrogate models, (3) sensitivity analysis (SA) method. Numerical studies based on analytical functions associated with noise and industrial data are performed to prove the usefulness and effectiveness of this study.
Maximum Power Point Tracking (MPPT) methods are used in photovoltaic (PV) systems to continually maximize the PV array output power which generally depends on solar radiation and cell temperature. ...MPPT methods can be roughly classified into two categories: there are conventional methods, like the Perturbation and Observation (P&O) method and the Incremental Conductance (IncCond) method and advanced methods, such as, fuzzy logic (FL) based MPPT method. This paper presents a survey of these methods in order to analyze, simulate, and evaluate a PV power supply system under varying meteorological conditions. Simulation results, obtained using MATLAB/Simulink, show that static and dynamic performances of fuzzy MPPT controller are better than those of conventional techniques based controller.
•A methodology is presented for building energy performance optimization.•EnergyPlus is used as the building energy simulation program.•Multi-objective particle swarm optimization is used as the ...optimization approach.•The method is applied to a single zone case study in four climatic regions of Iran.•Building specifications are optimized to minimize its annual energy consumption.
This paper proposes an efficient methodology for the simulation-based multi-objective optimization problems, which addresses important limitations for the optimization of the building energy performance. In this work, a mono- and multi-objective particle swarm optimization (MOPSO) algorithm is coupled with EnergyPlus building energy simulation software to find a set of non-dominated solutions to enhance the building energy performance. To evaluate the capability and effectiveness of the approach, the developed method is applied to a single room model, and the effect of building architectural parameters including, the building orientation, the shading overhang specifications, the window size, and the glazing and the wall material properties on the building energy consumption are studied in four major climatic regions of Iran. In the optimization section, mono-criterion and multi-criteria optimization analyses of the annual cooling, heating, and lighting electricity consumption are examined to understand interactions between the objective functions and to minimize the annual total building energy demand. The achieved optimum solutions from the multi-objective optimization process are also reported as Pareto optimal fronts. Finally, the result of multi-criteria minimization is compared with the mono-criterion ones. The results of the triple-objective optimization problem point out that for our typical model, the annual cooling electricity decreases about 19.8–33.3%; while the annual heating and lighting ones increase 1.7–4.8% and 0.5–2.6%, respectively, in comparison to the baseline model for four diverse climatic regions of Iran. In addition, the optimum design leads to 1.6–11.3% diminution of the total annual building electricity demand. The proposed optimization method shows a powerful and useful tool that can save time while searching for the optimal solutions with conflicting objective functions; therefore facilitate decision making in early phases of a building design in order to enhance its energy efficiency.
Abstract
This article based on matlab secondary development on the surface of the archimedean spiral cut NC contacts of parametric design. The generation principle of the spiral surface is described, ...and the processing error that may be caused by the processing method of the spiral surface is analyzed. In the case of meeting the processing requirements, a larger step length and a larger path distance are selected to calculate the tangent contact points of the spiral surface for CNC machining, and the accuracy of the contact points is verified by Matlab. Finally, a parametric design is carried out for the processing of the spiral curved surface tangent contact.
•The paper presents a novel method for building energy performance optimization.•The multi-criteria genetic algorithm is used as an optimization approach.•The proposed simulation-based methodology is ...applied to a case study model in Iran.•The effect of building specifications on the annual energy consumption are studied.
This paper provides a novel and efficient approach for the simulation-based multi-criteria optimization of the building energy performance. In the current investigation, a multi-objective non-dominated sorting genetic algorithm (NSGA-II) is coupled with EnergyPlus building energy simulation program to obtain optimal solutions leads to increase the building energy performance. The main aim of this work is to explore the effect of some architectural parameters, including the building orientation, the window size and the overhang specifications on the building energy consumption in four major climatic regions of Iran, e.g. cold, mild, warm-dry, and warm-humid. In the optimization section, mono-criterion and bi-criteria optimization analyses of the annual cooling and lighting building energy demands are studied with the purpose of understanding the interactions between these objective functions. The results point out that the bi-criteria optimization of the test case model brings down the annual cooling energy consumption 55.8–76.4% in various climates. However, the annual lighting electricity demand increases 1–4.8%. As a result, the final optimum configuration leads to 23.8–42.2% decrease in the annual total building energy consumption. The results depict that the climate and the appropriate selection of the architectural parameters are very important and critical in reducing the building energy consumption. The proposed optimization methodology is a powerful and useful tool to achieve this goal and to facilitate decision-making in early phases of a building design in order to enhance its energy efficiency.
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