Browsing by Author "Huda, A.S. Nazmul"

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A design of feasible solar net metering system in perspective of Bangladesh
(Brac University, 2022-09) Labiba, Sumaiya Tarique; Sultana, Tanjina; Ahmed, Iftekhar; Kundu, Ankita; Huda, A.S. Nazmul; Mohsin, Abu S. M.
With the increase in demand of energy and the scarcity of non-renewable resources; it has encouraged the modern world to find alternative ways of energy production and distribution as means of a solution. The approach of solar net metering is one of the most beneficial ways for countries possessing higher potential for solar energy, especially Bangladesh. Solar net metering has been introduced in few of the countries worldwide due to the system producing green energy alongside providing financial benefits to the consumers. With net metering, the consumers obtain credits on their electricity bill with respect to the "net" amount of energy used each month which is the difference between the amount of energy the solar generation system produces and the amount of energy consumed by houses during the billing period. The excess electricity formed by the solar system is sent back to the grid. There are different ways to implement solar net metering, it includes community net metering, aggregate net metering and virtual net metering, each containing different beneficiaries for particular consumer categories.
Cow health monitoring and disease detection
(BRAC University, 2023-05) Ahmed, Safayet; Niloy, Tanjim Rahman; Hossain, Md Sazzad; Hossain, Khelafat; Shams, Kazi Ananda; Huda, A.S. Nazmul; Taz, Nahid Hossain; Antara, Raihana Shams Islam
This abstract presents an IoT based Cow Health Monitoring and Disease Detection. The system uses different sensors to monitor cow health parameters. Moreover, the health parameters data is then transmitted to IoT analytics platform via IoT connectivity for further analyzation, visualization of cow health and anticipation of cow diseases. The system is also intended to be highly effective and affordable, making it a feasible option for large-scale application in diverse cow farms. A variety of farmers can utilize the system because it is made to be user-friendly and simple to setup. By giving access to regular cow health monitoring, this suggested IoT-based Cow Health Monitoring and Disease Detection system has the potential to improve cow health and farm quality.
Design and implementation of a real-time monitoring system for solar photovoltaic systems
(Brac University, 2023-12) Tonny, Sanzida Islam; Shopno, MD Adil Islam; Utsho, K. M. Nafiul Islam; Diganta, Nafiul Islam; Huda, A.S. Nazmul; Taz, Nahid Hossain; Antara, Raihana Shams Islam
The aim of this project is to implement a comprehensive real-time monitoring system for solar Photovoltaic systems. The system measures important parameters such as light intensity, temperature, humidity, current, and voltage using various sensors. The ESP32 microcontroller collects the data from the sensors and transfers them to the Blynk platform, while also providing customers with an easy-to-use interface for remote monitoring. There is also an option for local monitoring. Furthermore, GSM connectivity enables real-time SMS alerts for problematic circumstances. The economic study highlights the project's feasibility by highlighting higher energy production, improved system reliability, and competitive benefits. This innovative approach supports the growth of renewable energy initiatives and promotes environmental care, all of which are goals of sustainability.
Design and implementation of an automated transformer monitoring system
(Brac University, 2023-09) Purno, Mumtahina Tasnim; Sayeed, Shahtaz Zahra; Ahmed, Faiza; Das, Sarthak; Rahaman, Minhajur; Huda, A.S. Nazmul; Antara, Raihana Shams Islam; Taz, Nahid Hossain
The main objective of the project is to design and build a transformer monitoring system for the protection of transformer faults. The present monitoring system requires time-consuming human interaction and is difficult to predict when problems may materialize. In this project, we used the Arduino micro controller to build a system for automatically monitoring and protecting the transformer. The system would also provide real-time transformer parameter monitoring. The real-time monitoring of transformer and gas sensor voltage, current, oil levels, and temperature is covered in this article. Effective control measures, which are also addressed, can be used to manage the load voltage in an excessive voltage situation. The values at that moment will be continuously compared by these devices to the values that were previously specified.
Designing a system to generate electricity from usual surrounding motions through piezoelectric to run surveillance systems on the port
(Brac University, 2023-09) Ahmed, Arian; Muyeed, Munyem Ahammad; Alve, Sheikh Sajid Ali; Chowdhury, Maher Mahmood Saif; Huda, A.S. Nazmul; Taz, Nahid Hossain; Antara, Raihana Shams Islam
The modern world has been urged to develop alternative methods of energy generation as a means of a solution due to the rise in energy demand and the depletion of non-renewable resources. The future will be secure if the shift to renewable energy sources for electricity consumption occurs efficiently and promptly. One of the renewable power generations the paper suggests is piezoelectric power generation using piezoelectric disks. Piezoelectric disks are such a device that converts mechanical energy into electrical energy. This paper presents an innovative approach to harnessing mechanical energy from our usual surrounding motion and converting it into electrical power for powering surveillance systems in ports. The piezo generates AC voltage. Subsequently, the AC voltage is transformed to DC voltage via a rectifier. After that the energy is stored in a battery, facilitating the conversion from DC to AC through an inverter to supply power to the surveillance system.
Developing a solar powered water purifier for safe and affordable water supply
(Brac University, 2023-12) Jeny, Sumaiya Akter; Tanvir, Tahmidur Rahman; Rabby, Robin Hossan; Anan, Meheraj Hossain; Huda, A.S. Nazmul; Taz, Nahid Hossain; Antara, Raihana Shams Islam
"A solar-powered water purifier is a device that utilizes solar energy to purify water, making it safe for consumption. This innovative technology combines the use of solar panels to harness energy from the sun and a purification system to remove contaminants and impurities from water sources. The solar panels convert sunlight into electricity, which powers the water purification process, making it an environmentally friendly and sustainable solution for providing clean drinking water. This sustainable solution addresses the challenges of water contamination and scarcity prevalent in many parts of Bangladesh. By harnessing the power of the sun, the purifier can effectively remove impurities, pathogens, and pollutants from water, ensuring that it meets the required quality standards for consumption. Solar-powered water purifiers are designed to address the critical issue of access to safe drinking water in areas where traditional infrastructure may be lacking or unreliable. By utilizing renewable solar energy, these systems can operate independently of grid power, making them ideal for remote or off-grid locations. The purification process typically involves filtration and disinfection methods such as reverse osmosis, UV sterilization, or distillation, ensuring that the water meets safety standards for human consumption. "
Distribution transformer management system
(BRAC University, 2025-05) Sojib, Khairul Amin; Noman, Mohammad Shibli; Fahad, Abdullah Al; Hasan, Sheikh Walid; Huda, A.S. Nazmul; Shams, Sharif Mohammad; Taz, Nahid Hossain
The Distribution Transformer Management System (DTMS) addresses critical challenges in Bangladesh's power grid, including unbalanced loading, overloading, and power theft, which lead to frequent outages and operational inefficiencies. Leveraging IoT technology, the DTMS provides real-time monitoring of distribution transformers, detecting faults, unbalanced loads, and unauthorized power usage. The system logs data for preventive maintenance and ensures compliance with grid standards, reducing outages and extending transformer lifespan. By optimizing grid performance, the DTMS supports sustainable economic growth in Bangladesh.
Fault analysis in solar photovoltaic arrays
(BRAC University, 2023-01) Nunneh, Bill N.; Huda, A.S. Nazmul
" Finding faults and partial shadow conditions are the key challenges for photovoltaic (PV) system. Furthermore, by being aware of how many broken modules and strings there are, the power loss can be averted. Some studies are conducted in this project to address these issues in order to distinguish between faults and partially shaded conditions as well as the quantity of mismatched modules and strings for a dynamic change in irradiation. Based on a straightforward observation of the PV array's Current versus Voltage (I-V) characteristic curve under fault conditions, the suggested approach has evolved in two key steps. Using predetermined variables that are continuously updated from PV array voltage, current, and irradiation, the type of fault is first identified. By comparing the data with theoretical predictions derived from the PV array's I-V characteristic curve, it then provides the number of short- circuited bypass diodes and open-circuited blocking diodes. MATLAB/Simulink simulations have been used to verify the suggested approach."
Forecasting electricity demand of Bangladesh and its relation with physical and natural variables using group method of data handling model
(BRAC University, 2021-01) Miraz, Kazi Farhan Al; Biswas, Kallol; Rudra, MD. Rakin Yousuf; Huda, A.S. Nazmul
The purpose of this work is to forecast the electricity demand of Bangladesh using the Group Method of Data Handling (GMDH). Electricity is one of the key variables in ensuring economic growth and a higher standard of life. For a developing country like Bangladesh, it is very important to have a near accurate forecast of electricity demand for future planning. After careful preparation of a time series data set of GDP, GNI, CO2 emission, ambient temperature, the data sheet was fed into the GMDH model and an acceptable forecast was found. GMDH Shell software is used for the application of GMDH algorithm and time series analysis.This purpose is also resolved by deep learning and ANN application.High extensive correlation among features and pre processing could make fruitful in optimal prediction
Hybrid power sharing system of grid and solar photovoltaic using microcontroller
(BRAC University, 2022-01) Rayhan, Mohammad Naib; Rahman, Taifur; Rahman, Habibur; Sayeed, Saif; Huda, A.S. Nazmul
This project focuses on the rising demand for electricity in Bangladesh and what can be done to meet the rising demands by sharing Solar power with the national grid, thus reducing dependence on the grid. In the context of Bangladesh, where the booming demand for electricity, its spiraling costs, along with the rising levels of greenhouse gas emissions have contributed to the search for alternative energy sources and alternative systems of generating electrical power and sharing power to the grid, thus reducing the dependence on the grid and dependence on fossil fuels. So, renewable energy sources like solar, hydro, biomass, wind etc. can be used to generate electricity of which solar power is the most abundant and has huge potential. However, the typical solar systems that we have do not share any power with the grid and does not play any role in reducing our dependence on the grid. So, there is a lot of scope for work to be done in this sector. One of the main reasons for this is not using an automatically controlling system to have better efficiency. Another major issue with the typical solar system is that a lot of solar energy gets wasted when the battery gets full and loads are getting power from the grid and when the grid is available, there is no use of solar though lots of solar energy is being produced. So, we need a system which will be able to control the total power system of a family utilizing the both power supplying sources solar and grid with a better way so that minimum grid power would be used and maximum solar power would be used from the same system. Even though a lot of work has been done on grid-tie inverters, there are still the issues related to synchronization of the output fluctuating DC voltage from the solar panels used in grid-tie inverters, especially into the research articles that we have looked into before. So, in order to address these issues, the use of a microcontroller-based solar power-sharing system is a very suitable solution. Hence, our proposed Hybrid Power Sharing System of Grid and Solar Photovoltaic Using Microcontroller can possibly fulfill all these parameters and help solve all these issues.
Implementation of a GSM based smart energy meter
(Brac University, 2022-08) Rahman, Mahfuzur; Huda, A.S. Nazmul
Traditional energy meter needs manual effort to collect the energy usage data from households and then the bill is sent to the customers at the end of the month. This process may lead to possible human errors. To increase the accuracy of the billing systems from utility providers by preventing human errors, an Arduino and GSM based automatic billing system is implemented in this project. The implemented system measures the energy usage and bill accurately and also notifies the billing information to the users via mobile phone SMS on a daily and monthly basis. The implemented system increases energy awareness and provides hassle-free service to utility customers.
IoT based brain-wave assistive system for paralyzed individuals
(BRAC University, 2020-12) Monowara, Syeda Maliha; Shariar, Md Ahnaf; Islam, Md. Shafayat Ul; Jawad, Muhammed Junaid Noor; Sabuj, Saifur Rahman; Huda, A.S. Nazmul
Individuals suffering from severe paralysis encounter a multitude of issues that influence their quality of life. Paralysis can occur due to impairments of the central nervous system (CNS) causes by brain-stroke, accidents, neurodegenerative dysfunctions or other factors. A significant portion of our society endures the consequences that limit their physical functionalities such as movement, communication, task performances and so on. In recent decades, technology has made substantial assistive devices that can communicate the brainwave signals and interpret these into commands. The development of the brain-computer interface (BCI) depends on the electric impulses generated in the brain. Hence, this can consequently be implemented for improvement purposes, that can eventually help to overcome the aspects of functional disabilities. To resolve the obstacles associated with paralysis, this project of the brainwave-assistive system is based on the internet-of-things (IoT). The system will be further comprised of multiple sensors that continuously acquire the brainwave frequencies for implementation through the connected microcontroller. For this project, the Cyton biosensing boards along with the WiFi shield have been utilised to read the generated electric signals from the brain which have been differentiated as per the functionality requirements. The WiFi shield enables the accumulated data to be saved in the database henceforth can be accessed at any instance (in real-time basis) through the software application. We have observed feedback generation through a microcontroller, we have further transmitted the data utilizing LSL to Python for the control of computer application. Furthermore, we intend to develop a mobile application that will frequently update the data that would enable the user to visualize the brainwave signals on a dashboard. Further research is required for a better understanding of the system to implement for extensive purposes such as home enhanced mobility, appliance control, emergency alarm-system and so forth.
IOT based monitoring and automation system for a smart home
(BRAC University, 2021) Haider, Md. Riffat; Huda, A.S. Nazmul
The world is now observing the 4th industrial revolution where IoT plays a very important role in automation. The study focuses on the concept of designing and implementing different IoT devices in a home automation system and how we can monitor and optimize electrical equipment. The basic concept is to collect data from different sensors and based on that data we will perform certain tasks. The data will be sent remotely to a server. Real time notifications will be sent to users to notify certain events. Users can remotely turn off or on certain devices.