Smart Polygeneration Grid: Control and Optimization System

2012 ◽  
Author(s):  
Maximiliano Bozzo ◽  
Francesco Caratozzolo ◽  
Alberto Traverso
Keyword(s):  
Control System ◽  
Working Conditions ◽  
Minimization Problem ◽  
Power Supply ◽  
Supply And Demand ◽  
Software Tool ◽  
Test Cases ◽  
Urban District ◽  
Constrained Minimization Problem ◽  
Different Levels

This study aims at the development of a software tool for supply and demand matching of electrical and thermal energy in an urban district. In particular, the tool has been developed for E-NERDD, the experimental district that TPG-DIMSET is going to build in Savona, Italy. E-NERDD is an acronym for Energy and Efficiency Research Demonstration District. It is one of the districts that will be used within the project to demonstrate how different software tools and algorithms perform in thermodynamic, economic and environmental terms. The software tool originally developed for and implemented in this work, called E-NERDD Control System, is targeted on enabling the operation of the hardware, when connected in a district mode. Supply and demand are matched to reach a thermoeconomic optimum. An optimization algorithm is organized into two different levels of optimization: a first level that resolves a constrained minimization problem in planning power supply for each generator on the basis of day-before forecasting; and a second level that distributes among the different machines the gap between planned and real-time demand. The algorithm developed is demonstrated in four test cases in order to test it in different working conditions.

Control System of Power Supply in Under-Ground Coal Mining

2006 ◽  
Vol 2 (3) ◽  
pp. 12-19
Author(s):  
G. G. Pivnyak ◽  
Keyword(s):  
Control System ◽  
Coal Mining ◽  
Power Supply

scholarly journals A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 890
Author(s):  
Suthep Suantai ◽  
Kunrada Kankam ◽  
Prasit Cholamjiak
Keyword(s):  
Image Processing ◽  
Minimization Problem ◽  
Convex Functions ◽  
Lower Semicontinuous ◽  
Image Inpainting ◽  
Constrained Minimization ◽  
Convex Minimization Problem ◽  
Mild Conditions ◽  
Constrained Minimization Problem ◽  
Weak Convergence Theorem

In this research, we study the convex minimization problem in the form of the sum of two proper, lower-semicontinuous, and convex functions. We introduce a new projected forward-backward algorithm using linesearch and inertial techniques. We then establish a weak convergence theorem under mild conditions. It is known that image processing such as inpainting problems can be modeled as the constrained minimization problem of the sum of convex functions. In this connection, we aim to apply the suggested method for solving image inpainting. We also give some comparisons to other methods in the literature. It is shown that the proposed algorithm outperforms others in terms of iterations. Finally, we give an analysis on parameters that are assumed in our hypothesis.

EXPERIMENTAL STUDIES ON THE DEVELOPMENT OF AN AUTOMATED SYSTEM FOR REGULATING THE SOIL DENSITY USED IN A SEEDING MACHINE

2021 ◽  
pp. 9-15
Author(s):  
ALEKSEI S. DOROKHOV ◽  
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Power Supply ◽  
Experimental Studies ◽  
Automated System ◽  
Statistical Characteristics ◽  
Vegetable Crops ◽  
Soil Density ◽  
Density Control

Research on the development of an automatic control system for the rolling-in working units is aimed at establishing the reliability and analytical relationships, determining the quality indicators of work in real conditions of the rolling-in working units of a seeding machine, and checking the patterns obtained in the fi eld and identifi ed theoretically. Research on the development of an automatic control system for the rolling implements was carried out when sowing dragee seeds of table beet of the Bordeaux variety with a seeding unit consisting of a Belarus-4235 tractor and a Monopil S15/12 precision seeding machine. The system for automatic control of soil density includes the main hardware and software: actuators for maintaining and deepening the rolling working units, microcontrollers, motor drivers, a non-contact ultrasonic sensor, a power supply unit and a sensor for measuring soil density. The paper presents the results of a study to determine the soil density when sowing seeds of table beet, depending on the moisture content of the soil in the sowing layer. The authors describe research methodology, provide graphical relationships between changes in soil density and the depth of seeding, and comment on the main obtained statistical characteristics of the experiment. As a result of the study, structural, echnological and functional diagrams of a rolling rink with an automatic control system using electronically controlled electric cylinders (linear actuators) have been developed. The optimal parameters of the linear drive of the press roller have been established: power - 50W, power supply - 12V, rod stroke - 200…600 mm, speed - 10…45 mm/s, load - 200…900 N. Experimental studies have shown the applicability of the presented system of the automatic control of soil density, which ensures the optimum density of the seedbed of 1.3…1.4 g/cm³. The described technique can be used to develop a soil density control system when sowing seeds of other vegetable crops.

Application of LES-CFD for predicting pulverized-coal working conditions after installation of NOx control system

Energy ◽  
2018 ◽  
Vol 160 ◽  
pp. 693-709 ◽  
Author(s):  
Wojciech P. Adamczyk ◽  
Benjamin Isaac ◽  
John Parra-Alvarez ◽  
Sean T. Smith ◽  
Derek Harris ◽  
...  
Keyword(s):  
Control System ◽  
Working Conditions ◽  
Pulverized Coal ◽  
Nox Control
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