This document presents a review of a GSM-based monthly electrical energy billing system that sends SMS messages. The system aims to automatically monitor electricity usage, calculate bills, and send SMS messages to utilities and customers to avoid manual billing. It uses a microcontroller connected to an energy meter to count pulses and calculate bills. At month's end, a GSM modem attached to the meter replies to a predefined SMS from the utility with the customer's total usage and bill amount. The system is intended to reduce costs and errors from manual billing while increasing convenience for customers and utilities.
It’s no wonder that smart meter rollouts have skyrocketed with supporting business case findings such as ComEd customers saving potentially $2.8 billion on their electric bills over the 20-year life of the smart meters. Largely due to the aggressive U.S. effort to modernize its electric grid pros and cons (for example PG&E will now offer ‘opt out option’) for smart meters are still aggressively being debated; nonetheless the number of smart meters installed in the U.S. has ballooned over the past several years – with just over fifty utilities deploying the bulk of the investment. Zpryme analyzed data from the EIA in an effort to not only breakdown smart meter deployments by utility but also to zero in on the drivers that will bridge the U.S. energy divide.
It’s no wonder that smart meter rollouts have skyrocketed with supporting business case findings such as ComEd customers saving potentially $2.8 billion on their electric bills over the 20-year life of the smart meters. Largely due to the aggressive U.S. effort to modernize its electric grid pros and cons (for example PG&E will now offer ‘opt out option’) for smart meters are still aggressively being debated; nonetheless the number of smart meters installed in the U.S. has ballooned over the past several years – with just over fifty utilities deploying the bulk of the investment. Zpryme analyzed data from the EIA in an effort to not only breakdown smart meter deployments by utility but also to zero in on the drivers that will bridge the U.S. energy divide.
Advanced Metering Infrastructure (AMI) is an integrated system of smart meters, communication networks, and data management systems that enables two-way communication between utilities and customers.
The IOT based energy meter is based on Arduino. This system eliminates the human involvement in electricity maintenance. The theft of electricity increases the costs paid by customers. Hence this system is used for the detection of theft. The energy meter is connected to the Arduino. The Arduino checks the main meter and sub meter reading. If the difference between the main meter and sub meter is occurred then the message that theft has occurred will be displayed on the LCD display as well as on the thingspeak. The comparison between the main meter and sub meter reading is used to check the theft status. Customer can be access the thingspeak from anywhere on the globe at the anytime using the consumer number. Hence the customer can be easily access their energy usage. Mrs Sandhya Shinde | Mr. Yogesh Yadav | Miss. Bharti Sontakke | Miss. Pratiksha Zapake"IoT Based Smart Energy Meter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd5761.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/5761/iot-based-smart-energy-meter/mrs-sandhya-shinde
Hardware prototype of smart home energy management systemeSAT Journals
Abstract The development of ‘demand-side load management’ is the outcome of the smart grid initiative. Due to the significant amount of loads in the residential sector, home energy management has received increasing interest. In the country like India, we are lagging behind, in the power sector as the demand is much more than the supply. Moreover, there is not a single initiative, which has been taken for the deployment of smart suppliers and smart users. Here, I propose a hardware design of smart home energy management system (SHEMS). With the help of this proposed design, it is possible to have a real-time, price-responsive control strategy for domestic loads such as electrical water heater (EWH), illumination (Lights), air conditioning (Fan), dryer etc. Consumers may interact with suppliers or load serving entities (LSEs) to facilitate the load management at the supplier side. This system is designed with sensors to detect human activities and the behavior is predicted by applying a machine learning algorithm in order to help consumers reduce total payment on electricity. Finally, for the verification of the hardware system, simulation and experiment results will be checked based on an actual SHEMS prototype. Keywords: Demand side load management, Load Serving Entity (LSE), Smart Home Energy Management System (SHEMS), Smart Grid.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Real Time E-metering and Automation of KCT College Campus using an Android Mo...Eswar Publications
Automation is the technology stemming from web of things. To make a smart world to provide comfort for human life is the main focus of the researchers. In the current automated industry Embedded systems and IOT (Internet of Things) is becoming highly efficient and mandatory to exhibit the potential market. While performing various operations, power consumption and efficiency is an important issue with the comfort level of user. The combination of embedded technology and IOT is represented by using E-controller which is the appropriate one for system’s energy consumption and efficiency experiments with size factor. The main objective of the system is real time information and data monitoring of energy consumption. The proposed system introduces the
implementation of IOT using embedded technology to simplistic the peripheral circuit and to lower the power consumption, thereby providing a high quality solution for a Smart Hostel Management and Information system.
A smart meter is an electronic device
that records information such as
consumption of electric energy, voltage
levels, current, and power factor. Smart
meters communicate the information to
the consumer for greater clarity of
consumption behavior, and electricity
suppliers for system monitoring and
customer billing.
IoT Based Smart Energy Meter using Raspberry Pi and Arduino Bilal Amjad
This project, design and implemented a low-cost IoT based energy monitoring system (smart energy meter) for real-time monitoring of all electrical parameters i.e. AC voltage, AC current, active power, total energy consumption, power factor, frequency, and tariff. The design is based on a low-cost PZEM-004T, using a non-invasive Current Transformer
(CT) sensors, Arduino and Raspberry pi. Electrical measurements are done by PZEM-004T and CT sensors through Arduino. Raspberry pi communicates with Arduino through serial communication to retrieve these sensor’s data and send it to the server via internet. As a result, the developed energy monitoring system can successfully record the voltage, current, active power, power factor, frequency, accumulative power consumption and tariff. Consumers will be able to
see their electricity usage and the tariff according to the energy usage in real-time through web and mobile application. In case of any fault e.g., short circuit or power supply cut off, the consumer will receive a text message on his mobile number. Moreover, consumers will be able to receive the tariff on a weekly or monthly basis.
Advanced Metering Infrastructure (AMI) is an integrated system of smart meters, communication networks, and data management systems that enables two-way communication between utilities and customers.
The IOT based energy meter is based on Arduino. This system eliminates the human involvement in electricity maintenance. The theft of electricity increases the costs paid by customers. Hence this system is used for the detection of theft. The energy meter is connected to the Arduino. The Arduino checks the main meter and sub meter reading. If the difference between the main meter and sub meter is occurred then the message that theft has occurred will be displayed on the LCD display as well as on the thingspeak. The comparison between the main meter and sub meter reading is used to check the theft status. Customer can be access the thingspeak from anywhere on the globe at the anytime using the consumer number. Hence the customer can be easily access their energy usage. Mrs Sandhya Shinde | Mr. Yogesh Yadav | Miss. Bharti Sontakke | Miss. Pratiksha Zapake"IoT Based Smart Energy Meter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd5761.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/5761/iot-based-smart-energy-meter/mrs-sandhya-shinde
Hardware prototype of smart home energy management systemeSAT Journals
Abstract The development of ‘demand-side load management’ is the outcome of the smart grid initiative. Due to the significant amount of loads in the residential sector, home energy management has received increasing interest. In the country like India, we are lagging behind, in the power sector as the demand is much more than the supply. Moreover, there is not a single initiative, which has been taken for the deployment of smart suppliers and smart users. Here, I propose a hardware design of smart home energy management system (SHEMS). With the help of this proposed design, it is possible to have a real-time, price-responsive control strategy for domestic loads such as electrical water heater (EWH), illumination (Lights), air conditioning (Fan), dryer etc. Consumers may interact with suppliers or load serving entities (LSEs) to facilitate the load management at the supplier side. This system is designed with sensors to detect human activities and the behavior is predicted by applying a machine learning algorithm in order to help consumers reduce total payment on electricity. Finally, for the verification of the hardware system, simulation and experiment results will be checked based on an actual SHEMS prototype. Keywords: Demand side load management, Load Serving Entity (LSE), Smart Home Energy Management System (SHEMS), Smart Grid.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Real Time E-metering and Automation of KCT College Campus using an Android Mo...Eswar Publications
Automation is the technology stemming from web of things. To make a smart world to provide comfort for human life is the main focus of the researchers. In the current automated industry Embedded systems and IOT (Internet of Things) is becoming highly efficient and mandatory to exhibit the potential market. While performing various operations, power consumption and efficiency is an important issue with the comfort level of user. The combination of embedded technology and IOT is represented by using E-controller which is the appropriate one for system’s energy consumption and efficiency experiments with size factor. The main objective of the system is real time information and data monitoring of energy consumption. The proposed system introduces the
implementation of IOT using embedded technology to simplistic the peripheral circuit and to lower the power consumption, thereby providing a high quality solution for a Smart Hostel Management and Information system.
A smart meter is an electronic device
that records information such as
consumption of electric energy, voltage
levels, current, and power factor. Smart
meters communicate the information to
the consumer for greater clarity of
consumption behavior, and electricity
suppliers for system monitoring and
customer billing.
IoT Based Smart Energy Meter using Raspberry Pi and Arduino Bilal Amjad
This project, design and implemented a low-cost IoT based energy monitoring system (smart energy meter) for real-time monitoring of all electrical parameters i.e. AC voltage, AC current, active power, total energy consumption, power factor, frequency, and tariff. The design is based on a low-cost PZEM-004T, using a non-invasive Current Transformer
(CT) sensors, Arduino and Raspberry pi. Electrical measurements are done by PZEM-004T and CT sensors through Arduino. Raspberry pi communicates with Arduino through serial communication to retrieve these sensor’s data and send it to the server via internet. As a result, the developed energy monitoring system can successfully record the voltage, current, active power, power factor, frequency, accumulative power consumption and tariff. Consumers will be able to
see their electricity usage and the tariff according to the energy usage in real-time through web and mobile application. In case of any fault e.g., short circuit or power supply cut off, the consumer will receive a text message on his mobile number. Moreover, consumers will be able to receive the tariff on a weekly or monthly basis.
Automated Meter reading systems are a invaluable technological advancement that can lead to
a better standard of living, owing to the fact that metering has become a part and parcel of our
mundane lives.
It solves many issues of the traditional meter reading system like need for human resources, lack
of efficiency and accuracy in meter reading, delayed work, unavailability of customer during
metering visit by employee, etc. Moreover it is more economical and helps to save energy in a
more efficient and effective way. Furthermore it has a very notable advantage of having the
ability to predict the energy demands of the future, starting from every household to the entire
planet.
Automated meter reading systems have been implemented using many different technologies
like GSM, ZigBee, PLC, D-SCADA, WiMAX and Hybrid Technologies that comprises of a mixture
of the above.
This seminar paper describes the working models, strengths and weaknesses of each technology
by considering various factors like feasibility, cost, reliability, efficiency, and maintenance and
user experience. This paper not only explains the existing Energy Metering systems but also
provides an abstract view of developing the most optimal Automated Meter Reading system.
Its work like a cell phone recharge phone if recharge is over electricity gone after that we need to recharge acount main benift is that we can oprate it from any where to the world
Intelligent Power Meter using GSM network and Android Applicationshan km
Now a days everything is being automated. The electrical energy provider still uses traditional methods for reading the energy consumed by individual consumer. The proposed system automatically reads the energy consumed and send it to the electricity provider using the short messaging services (SMS) and Android app.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.