Determination of the energy saving by daylight responsive lighting control systems with an example from Istanbul

2003 ◽  
Vol 38 (7) ◽  
pp. 973-977 ◽  
Author(s):  
Sermin Onaygıl ◽  
Önder Güler
Keyword(s):  
Energy Saving ◽  
Control Systems ◽  
Lighting Control

scholarly journals Energy saving control system development for external lighting

2020 ◽  
Vol 17 (3) ◽  
pp. 1601
Author(s):  
A.A. Ashryatov ◽  
V.G. Kulikov ◽  
A.V. Panteleyev
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Control Systems ◽  
Reactive Power ◽  
System Development ◽  
Economic Effect ◽  
Power Reduction ◽  
Street Lighting ◽  
Lighting Control ◽  
Energy Saving Control

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>

Energy Saving Lighting Control Systems for Open-Plan Offices: A Field Study

2007 ◽  
Vol 4 (1) ◽  
pp. 7-29 ◽  
Author(s):  
Anca D. Galasiu ◽  
Guy R. Newsham ◽  
Cristian Suvagau ◽  
Daniel M. Sander
Keyword(s):  
Field Study ◽  
Energy Saving ◽  
Control Systems ◽  
Lighting Control ◽  
Open Plan

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

DETERMINATION OF THE JUICE EVAPORATION MATHEMATICAL MODELS EFFICIENCY FOR AUTOMATED PROCESS CONTROL SYSTEMS

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
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Keyword(s):  
Process Control ◽  
Mathematical Models ◽  
Control Systems ◽  
Process Control Systems ◽  
Automated Process

scholarly journals LumNet

2021 ◽  
Vol 5 (2) ◽  
pp. 1-20
Author(s):  
Prince U.C. Songwa ◽  
Aaqib Saeed ◽  
Sachin Bhardwaj ◽  
Thijs W. Kruisselbrink ◽  
Tanir Ozcelebi
Keyword(s):  
Control Systems ◽  
Real Life ◽  
Visual Performance ◽  
Lighting Control ◽  
Domain Specific ◽  
Real Life Setting ◽  
Added Benefit ◽  
Measurement Devices ◽  
Indoor Spaces ◽  
Learned Features

High-quality lighting positively influences visual performance in humans. The experienced visual performance can be measured using desktop luminance and hence several lighting control systems have been developed for its quantification. However, the measurement devices that are used to monitor the desktop luminance in existing lighting control systems are obtrusive to the users. As an alternative, ceiling-based luminance projection sensors are being used recently as these are unobtrusive and can capture the direct task area of a user. The positioning of these devices on the ceiling requires to estimate the desktop luminance in the user's vertical visual field, solely using ceiling-based measurements, to better predict the experienced visual performance of the user. For this purpose, we present LUMNET, an approach for estimating desktop luminance with deep models through utilizing supervised and self-supervised learning. Our model learns visual representations from ceiling-based images, which are collected in indoor spaces within the physical vicinity of the user to predict average desktop luminance as experienced in a real-life setting. We also propose a self-supervised contrastive method for pre-training LUMNET with unlabeled data and we demonstrate that the learned features are transferable onto a small labeled dataset which minimizes the requirement of costly data annotations. Likewise, we perform experiments on domain-specific datasets and show that our approach significantly improves over the baseline results from prior methods in estimating luminance, particularly in the low-data regime. LUMNET is an important step towards learning-based technique for luminance estimation and can be used for adaptive lighting control directly on-device thanks to its minimal computational footprint with an added benefit of preserving user's privacy.

The Energy-Saving Optimization of the Organic Heat Transfer Material Heater

2012 ◽  
Vol 455-456 ◽  
pp. 284-288
Author(s):  
Wei Li Gu ◽  
Jian Xiang Liu
Keyword(s):  
Heat Transfer ◽  
Energy Saving ◽  
Flue Gas ◽  
Theoretical Basis ◽  
Operation Management ◽  
Exergy Loss ◽  
Irreversible Processes ◽  
Design Parameters ◽  
Gas Temperature

this paper studies the typical irreversible processes such as combustion and heat transfer with temperature difference based on the theory of thermodynamics, analyzes the influencing factors on exergy loss in irreversible processes, on the basis of this analysis, proposes the energy-saving optimization measures on design and operation management of the organic heat transfer material heater, and specially points out that in the design process, objective function can be constructed with the exergy loss as evaluation index to determine the outlet flue gas temperature of furnace and the flue gas temperature, and provides theoretical basis for the determination of design parameters.

Device for the Experimental Determination of Control Objects' Mathematical Models

2013 ◽  
Vol 650 ◽  
pp. 493-497 ◽  
Author(s):  
Valerij I. Goncharov ◽  
Vadim A. Onufriev ◽  
Ilya O. Ilyin
Keyword(s):  
Control Systems ◽  
Computer Technology ◽  
Interpolation Method ◽  
Facilities Management ◽  
Operational Conditions ◽  
Automatic Control Systems ◽  
Interpolation Procedure ◽  
Real Interpolation Method ◽  
Inverse Problems Of Dynamics

Authors review methods of determining a plant’s mathematical model. Then, they show a numerical method of pulse automatic control systems’ (ACS) identification, focused on computer technology, the interpolation procedure and iterative methods of approximation to the desired solution. The basis of the approach is the method of inverse problems of dynamics and real interpolation method for calculating the linearized dynamical systems. An algorithm and the mobile device designed for the identification of facilities management in operational conditions are proposed. There is results’ application in the conclusion.

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