scholarly journals Implementation of IoT to reduce the use of electrical energy

2021 ◽  
Vol 1 (1) ◽  
pp. 37-46
Author(s):  
Dessy Ariffiyanto Laksono
Keyword(s):  
Smart Home ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Living Room ◽  
Room Light ◽  
Controlling System ◽  
Electrical Devices ◽  
The Cost ◽  
Reducing Energy

Electricity consumption in Indonesia continues to increase by an average of 6.8% per year. IoT in 4.0 industry can be used to help community in reducing energy consumtion, including electricity, by implementing smart home sensor and actuator in IoT can be used to control the electricity consumtion automatically. This research has an objective to design and apply smart home that can reduce the electricity consumtion. The Smart Home device is an Arduino ESP8266 NodeMCU microcontroller equipped with a PIR sensor, DHT11 sensor and relay. This system is connected to the website as a controlling system. The smart home can also reduce power usage on street light by 7,524.91 watts (59.72%), living room light by 1,500 watts (50%), kitchen light by 2699,94 watts (75 )%), the main room lamp is 1259.98 watts (50%). Smart home system with a timer for one month can reduce power usage by 12,984.83 watts (12.01%) and can reduce the cost of using electrical devices by Rp. 16,881 (12.01%).

scholarly journals Reducing the cost of electricity transmission services of industrial enterprises connected to the electric networks of electric power producers

2021 ◽  
Vol 29 (2) ◽  
pp. 359-383
Author(s):  
Anatoly P. Dzyuba
Keyword(s):  
Electricity Consumption ◽  
Weighted Average ◽  
Electrical Energy ◽  
Average Price ◽  
Electrical Networks ◽  
Electric Networks ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
Transport Component ◽  
The Cost

Reducing the cost of electricity consumption by industrial enterprises is the most important area of increasing the operational efficiency of their activities. The article is devoted to the issue of reducing the cost of paying for the service component of the transport component of purchased electrical energy from industrial enterprises that have technological connection to the electrical networks of electricity producers. The article makes an empirical study of the features of the pricing of payment for the services of the transport component of purchased electrical energy for industrial enterprises connected to the electric grids of electricity producers with the identification of factors influencing the overestimation of the cost of paid electricity, and calculating such overestimations using the example of a typical schedule of electricity consumption of a machinebuilding enterprise for various regions Russia. On the basis of the developed author's indicators (tariff coefficient for electricity transportation by the level of GNP, index of tariff coefficient for electricity transportation, weighted average price for electricity transportation, index of weighted average price for electricity transportation, integral index of efficiency of GNP tariffs) study of the effectiveness of the application of tariffs for the transport of electricity for industrial enterprises connected to the electric networks of electricity producers. Based on the calculated indicators, the article groups the regions into three main groups, with the development of recommendations for managing the cost of purchasing electricity by the component of the cost of the transport component of purchased electricity in each group. As the most optimal option for reducing the cost of electricity transportation, the author proposes the introduction of demand management for electricity consumption, which will reduce the costs of industrial enterprises that pay for the transport component of purchased electricity at unfavorable tariff configurations.

scholarly journals Management of Energy Costs of Industrial Enterprises Connected to Electric Grid of Electric Power Producers

2021 ◽  
Vol 2021 (2) ◽  
pp. 198-207
Author(s):  
Anatoly Dzyuba ◽  
Alexander Semikolenov
Keyword(s):  
Demand Management ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Power Grids ◽  
Energy Costs ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Pricing Options ◽  
The Cost ◽  
Cost Components

Industrial enterprises connected to the power grids of electricity producers spend a lot of money on the transport of purchased electrical energy. The present article introduces some opportunities to minimize the costs. The author studied the principles of pricing of the transport of electrical energy purchased by industrial enterprises connected to power grids of electricity producers and described the advantages and disadvantages of the existing pricing options. The new indicator generator of voltage tariff coefficient made it possible to analyze the effectiveness of the transport tariffs for electrical energy at various types of industrial enterprises in relation to the tariff field of several regions of Russia. The study revealed ineffectiveness of the current tariffs on the transport of purchased electrical energy applied by such industrial enterprises. The author developed recommendations to reduce the cost of electricity. The main priority option was the application of demand management for electricity consumption by regulating the schedules of energy-intensive technological processes. This measure takes into account the criteria of economic efficiency, system reliability, and sustainability. It will enable industrial enterprises to manage their own schedule of electricity consumption without having to change the planned production volumes, thus reducing all cost components.

scholarly journals RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB

eLEKTRIKA ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 1
Author(s):  
Bagus Eryawan ◽  
Ari Endang Jayati ◽  
Sri Heranurweni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Web Applications ◽  
Raspberry Pi ◽  
The Internet ◽  
Living Room ◽  
Base System ◽  
Brushless Motor ◽  
The Cost ◽  
The City

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.

scholarly journals Penghematan Listrik Rumah Tangga dalam Menunjang Kestabilan Energi Nasional dan Kelestarian Lingkungan

2019 ◽  
Vol 20 (2) ◽  
pp. 263
Author(s):  
Arif Dwi Santoso ◽  
Muhammad Agus Salim
Keyword(s):  
Energy Saving ◽  
Energy Supply ◽  
Energy Savings ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Research Data ◽  
Electricity Supply ◽  
Air Conditioners ◽  
Great Saving ◽  
Electrical Devices

ABSTRACTThe government efforts to maintain national energy stability program through the increase energy supply and saving must be supported by all levels of society. Several energy observers and experts stated that the contribution of the domestic or household sector in the activities of energy saving program is quite significant because the percentage of household customers are relatively high. This paper analyzes the potential of providing research data on the percentage of electricity savings in the domestic or household sectors towards saving electricity nationally. The results of the study show that electrical devices commonly used in households still have the potential to be saved. Electrical devices that are often used at households and have great saving potentials are air conditioners and refrigerators. If each household customer saves 30% of electricity consumption, then the national electricity supply that can be saved will be around 5,679 GW, equivalent to 83.3 trillion rupiah. The saving program resulted in savings of electricity consumption of around 6% of all household consumers or around 2.9% of total national electricity consumption.Keywords: electrical energy, savings, households ABSTRAKUpaya pemerintah dalam menjaga kestabilan energi nasional melalui program peningkatan pasokan dan penghematan energi harus didukung oleh seluruh lapisan masyarakat. Para pengamat dan pakar energi menyatakan bahwa kontribusi sektor domestik atau rumah tangga dalam program penghematan konsumsi energi listrik cukup signifikan karena persentase jumlah pelanggan rumah tangga yang relatif tinggi. Penelitian ini menganalisis tentang potensi persentase penghematan energi listrik sektor domestik atau rumah tangga terhadap  penghematan listrik secara nasional. Hasil penelitian menunjukkan bahwa piranti listrik yang biasa digunakan pada rumah tangga masih memiliki potensi untuk dilakukan penghematan. Piranti listrik yang sering digunakan pada rumah tangga dan memiliki potensi penghematan yang besar adalah alat pendingin ruangan (AC) dan kulkas. Bila setiap pelanggan rumah tangga melakukan penghematan konsumsi energi listriknya sebesar 30%, maka pasokan listrik nasional yang dapat dihemat adalah sekitar 5.679 GW atau setara dengan 83,3 Trilyun rupiah. Upaya ini menghasilkan penghematan konsumsi listrik sekitar 6% dari seluruh konsumen rumah tangga atau sekitar 2,9 % dari total konsumsi energi listrik nasional.Kata kunci: energi listrik, penghematan, rumah tangga

scholarly journals Permodelan Efisiensi Smart Home Menggunakan Mobile Programming

2021 ◽  
Vol 1 (1) ◽  
pp. 91-100
Author(s):  
Septian Cahyadi ◽  
Suci Sri Utami Sutjipto ◽  
Anton Sukamto ◽  
Denny Dolok
Keyword(s):  
Global Warming ◽  
Smart Home ◽  
Power Plants ◽  
Electricity Consumption ◽  
Human Movement ◽  
Electrical Energy ◽  
General Description ◽  
Community Activities ◽  
Mobile Programming ◽  
The Government

The utilization of Indonesia's electricity consumption every year continues to increase in line with national economic growth. This situation is a general description of every developing country, where the supply of electricity is not the fulfillment of the real needs of the whole but rather the ability to generate and distribute electricity to the community. Indonesia has a target to provide lighting or electricity to all citizens by 2020 or an electrification ratio of 100%, and by 2019, the government said the realization of the electrification ratio had reached 98.89%. This means that we have almost reached our target. To achieve this ambitious target, efforts have been made, including developing electricity infrastructure, such as solar power plants, to the 3T (underdeveloped, frontier, and outermost) areas using the Special Allocation Fund (SAF). The existence of a smart home (smart home) allows users to remotely control parts of the house and set a schedule for activated smart home devices to help control costs and save more energy while providing added convenience and save time. So that it can save household electricity consumption and save energy. Mobile-based smart home efficiency modeling, based on temperature sensors, human movement, and light intensity sensors using a mobile-based microcontroller to help save electricity use and reduce global warming. By carrying out this research, it can facilitate community activities in controlling automation in smart homes to save electrical energy and reduce global warming. The Hardware Programming method is an approach method for designing the tools used.    Kata Kunci: Mobile programming, Hardware Programming, Smart home.

scholarly journals The calculation of point quantity for lighting based on android OS using ionic framework and rule based expert system

2021 ◽  
Vol 10 (6) ◽  
pp. 3444-3451
Author(s):  
Mufadhol Mufadhol ◽  
Budi Hartono ◽  
Sulartopo Sulartopo ◽  
Maya Utami Dewi ◽  
Danang Danang ◽  
...  
Keyword(s):  
Operating System ◽  
Expert System ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy Resources ◽  
Application System ◽  
Rule Based ◽  
Android Os ◽  
Android Operating System ◽  
The Cost

At this time, the Covid-19 pandemic has not been finished so all activities and expenditure of funds must be economical. On the each building will be required electricity resources as a means for lighting the room. Reduced activities carried out outside the room make people carry out activities indoors, this results in a significant increase in electricity consumption for lighting. PT. PLN as the provider in Indonesia of electricity services for the community experiences a shortage of electricity resources and most of the electricity resources are used for lighting purposes. Indonesia as a developing country has a very large of population growth, so it requires many buildings as a place to live or a place of business and other activities. This paper will be discussion how a smartphone with an Android operating system can be used to determining the lighting requirements using the Ionic Framework and Rule Based Expert Systems. Using this application system, so electricity to lighting can be optimal and not too wasteful, which in turn can save on the use of electrical energy resources and can save of the cost.

scholarly journals Eficiencia energética dentro del sistema municipal de parques temáticos de Tijuana

2020 ◽  
pp. 28-35
Author(s):  
Argelia Teón-Veg ◽  
Luis Eduardo Vargas-Gurrola ◽  
Myriam Tatiana Montaño-Soto ◽  
Silvia María Balderas-López
Keyword(s):  
Performance Indicators ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy Performance ◽  
Electrical Energy Consumption ◽  
Theme Parks ◽  
Energy Contribution ◽  
Current State ◽  
The Cost ◽  
Electrical Installation

Morelos Park is part of the Municipal System of Tijuana Theme Parks (SIMPATT). Due to the multiple activities carried out for the community, as well as the lack of maintenance to the electrical installation, among other factors, the cost for electricity consumption is around $ 1,022,107.00 M.N. yearly. Objective: the purpose of this project is to carry out an energy efficiency study to obtain energy performance indicators (KPI) with which improvements for the rational and efficient use of energy can be proposed. Methodology: the project was worked with the collaboration of students in renewable energy engineering program internship. The study includes the following stages: 1) gathering energy data to determine the current state of electrical energy consumption; 2) analysis of the information obtained inorder to detect improvement areas; and 3) proposals for an efficient use of electrical energy. Contribution: with the development of this study, in addition to providing a viable economic benefit to the park administration, it contributes to the integration and application of tools and knowledge of future engineers in real environment situations.

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 Characteristics of the cost of electricity consumption in agricultural production

2021 ◽  
Vol 677 (3) ◽  
pp. 032087
Author(s):  
G S Kudryashev ◽  
A N Tretyakov ◽  
S V Batishchev ◽  
V A Bochkarev ◽  
V D Ochirov
Keyword(s):  
Agricultural Production ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
The Cost
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