scholarly journals PENERAPAN SISTEM KONTROL PENERANGAN NIRKABEL UNTUK PENGATURAN DAN PENGHEMATAN LAMPU PADA APLIKASI SMART HOME

JURNAL ELTEK ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 30
Author(s):  
Fatkhur Rohman ◽  
Nurhadi Nurhadi ◽  
Gumono Gumono ◽  
Raden Edy Purwanto ◽  
Dhebys Suryani
Keyword(s):  
Control System ◽  
Electric Power ◽  
Daily Activity ◽  
Smart Home ◽  
Electricity Consumption ◽  
Energy System ◽  
Maximum Energy ◽  
Scada System

Konsumsi energi listrik khususnya oleh pelanggan di Indonesia semakin tahun mengalami peningkatan. Sebagai solusi yang ditawarkan untuk masalah ini, kami telah menerapkan sistem pengontrolan ON/OFF, intensitas dan durasi lampu penerangan untuk diaplikasikan menyerupai sistem Smart Home secara otomatis. Sistem SCADA sederhana telah dibuat untuk mengendalikan beban lampu dan memonitoring konsumsi daya yang digunakan di rumah tangga, dengan demikian penghematan pemakaian daya listrik dapat dilakukan dengan lebih maksimal.Pengurangan konsumsi energi paling besar didapatkan dari penjadwalan ON/OFF lampu penerangan, pengaturan otomatis intensitas lampu dari umpan balik sensor cahaya dan pengaturan durasi penyalaan lampu sesuai dengan penggunaan jenis beban yang dikehendaki. Pada percobaan penerapan 1 LED lampu teras rumah, telah dibuktikan penghematan daya listrik sebesar ±90%.   Electricity consumption by customers in Indonesia. As a solution given to this problem, we have delivered an ON / OFF control system, and the duration of lighting to be applied like a Smart Home system automatically. Simple SCADA Systen had builded to control various lamp as loads then monitor the power consumtion during daily activity, so that the maximum energy consumtion can be reduced. The greatest reduction in energy energy from the scheduling of ON / OFF lighting, lighting settings from sensor feedback and lighting according to the use of the desired load. The series of this research is an energy system that uses a simple SCADA system using this tool. In the trial of the application of 1 LED porch home, it has been proven that the electric power is ± 90%

scholarly journals ANALYSIS OF SOLAR ENERGY USE FOR MULTI-FLAT BUILDINGS RENOVATION / SAULĖS ENERGIJOS PANAUDOJIMO MODERNIZUOJAMUOSE DAUGIABUČIUOSE ANALIZĖ

2016 ◽  
Vol 8 (4) ◽  
pp. 449-454 ◽  
Author(s):  
Kęstutis Valančius ◽  
Jonas Grigaliūnas
Keyword(s):  
Solar Energy ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Systems ◽  
Energy System ◽  
Maximum Energy ◽  
Energy Sources ◽  
Simulation Tools ◽  
Consumption Data

The paper analyses the energy and financial possibilities to install renewable energy sources (solar energy) generating systems when renovating multi-flat buildings. The aim is to analyse solar energy system possibilities for modernization of multi-flat buildings (5-storey, 9-storey and 16-storey), providing detailed conclusions about the appropriateness of the energy systems and financial aspects. It is also intended to determine the optimal technological combinations and solutions to reach the maximum energy benefits. For the research computer simulation tools “EnergyPRO” and “PV*SOL Premium” are chosen. Also actual collected heat and electricity consumption data is used for the analysis. Straipsnyje yra apžvelgiamos ir nagrinėjamos energinės ir finansinės galimybės daugiabučiuose namuose įdiegti atsinaujinančius energijos išteklius (saulės energiją) generuojančias sistemas. Darbo tikslas – išanalizuoti didžiausias saulės energijos sistemų panaudojimo galimybes, modernizuojant (5-ių aukštų, 9-ių aukštų ir 16-os aukštų) daugiabučius pastatus, pateikiant išsamias išvadas apie šių sistemų tinkamumą energiniu ir finansiniu aspektais. Siekiama nustatyti optimalius technologinius derinius ir sprendinius, kurių energinė vertė būtų didžiausia. Tyrime pasirinktas būdas yra naujų sistemų modeliavimas kompiuterinėmis ,,EnergyPRO“ ir ,,PV*SOL Premium“ programomis. Taip pat naudojami sukaupti faktiniai šilumos ir elektros energiniai individualių daugiabučių duomenys. Šie duomenys apima visus 2015 metus, kai atitinkamai ant 5-ių aukštų daugiabučio stogo ir 9-ių aukštų daugiabučio fasado sumontuotais prietaisais buvo kaupiami saulės spinduliuotės duomenys.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.

ANTON: Activity Recognition-Based Smart Home Control System

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Peng Zhao ◽  
Pushpendu Kar ◽  
Saeid Pourroostaei Ardakani
Keyword(s):  
Control System ◽  
Activity Recognition ◽  
Smart Home

Hybrid Photovoltaic-Diesel Energy System Optimization (Case Study of Electric Power Supply for Buildings under the Weather Conditions of Montenegro)

2014 ◽  
Vol 627 ◽  
pp. 357-364 ◽  
Author(s):  
Goran Radovic ◽  
Vera Murgul ◽  
Nikolai Vatin ◽  
Ekaterina Aronova
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Power Supply ◽  
Optimal Solution ◽  
Weather Conditions ◽  
System Optimization ◽  
Energy System ◽  
Energy Performance ◽  
Electric Power Supply ◽  
Continuous Power

The article deals with the concept of solar photovoltaic systems use in power supply systems. An analysis of local solar resources potential has been carried out, and optimal orientation points of radiant heat absorbing photovoltaic panels have been chosen to achieve maximum energy performance. Simulation of electric power systems having different configurations has been implemented using the software program Homer. It has been stated that a combination of solar and diesel energy systems is considered to be an optimal solution under the weather conditions of Montenegro. The systems working together make it possible to reduce maintenance costs significantly and adjust capacity generation schedule with due account for energy consumption features to a maximum extent. This allows generating electric power at less cost and results in a more reliable and continuous power supply without failures for a consumer chosen.

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