http://suspace.su.edu.bd/handle/123456789/14 2026-04-18T12:38:40Z 2026-04-18T12:38:40Z Md, Ebrahim http://suspace.su.edu.bd/handle/123456789/2631 2026-03-31T05:29:12Z 2025-01-12T00:00:00Z

Design and Performance Analysis of a Solar Based Battery Energy Storage System: A Case Study of a 110kW Solar power System at Marine Drive, Cox’s Bazar. Md, Ebrahim This paper presents the design and performance analysis of a solar-based Battery Energy Storage System (BESS) through a case study of a 110 kWp solar power system installed at Marine Drive, Cox’s Bazar, Bangladesh. Cox’s Bazar is a major tourist destination and provides a suitable site for the deployment of renewable energy systems without adversely affecting the surrounding ecosystem, while also addressing existing land scarcity constraints. The growing demand for clean, reliable, and uninterrupted electrical energy in coastal regions makes the integration of solar photovoltaic (PV) systems with battery energy storage a viable and sustainable solution. In this study, a comprehensive 110 kW solar PV system model is developed for power generation using solar energy. In addition, a solar-based Battery Energy Storage System (BESS) is designed to improve system reliability, power continuity, and energy management. The system design, simulation, and performance evaluation are carried out using four widely adopted some software MATLAB, HOMER Pro.

2025-01-12T00:00:00Z Md., Ramjan Ali http://suspace.su.edu.bd/handle/123456789/2630 2026-03-31T05:27:08Z 2025-01-12T00:00:00Z

ESP32 Multi-Sensor Safety Project Md., Ramjan Ali

2025-01-12T00:00:00Z Md., Maruf Hasan http://suspace.su.edu.bd/handle/123456789/2629 2026-03-31T05:24:36Z 2025-01-12T00:00:00Z

Smart Load Control and Gas Detector Md., Maruf Hasan Energy management and safety are critical in modern households of Bangladesh, where manual load control often leads to significant wastage and undetected gas leaks pose severe risks of accidents. The reliance on traditional switches results in unnecessary electricity consumption, particularly in urban areas with high demand, while gas-related incidents due to poor monitoring contribute to fires and health hazards. This project proposes an Arduino-based smart system to automate load control and detect gas leaks efficiently. Using Arduino Uno as the core, the system integrates capacitive touch sensors for local control, HC-05 Bluetooth for remote operation via a mobile app, MQ-2 sensor for gas monitoring, and ISD1820 module for voice alerts. Data acquisition processes allow real-time toggling of up to four loads and immediate notifications upon threshold breaches. The proposed system is simulated in Proteus software to report detailed performance, with reports accessible through the app. Arduino software is used for simulation results and embedded hardware kit will be fabricated

2025-01-12T00:00:00Z Md., Mahidy Hasan Emon http://suspace.su.edu.bd/handle/123456789/2628 2026-03-31T05:22:38Z 2025-01-12T00:00:00Z

Implementation of Footstep Energy Generation and Monitoring System Md., Mahidy Hasan Emon The Implementation of Footstep Energy Generation and Monitoring System is an IoT-based solution designed to harvest and monitor energy generated from human footsteps using piezoelectric sensors. The project aims to demonstrate how everyday movements can be converted into usable electrical energy while providing real-time feedback through an online dashboard. By integrating hardware sensing, power management, and wireless data communication, this system highlights a practical approach to renewable micro-energy generation. The setup uses six 35 mm piezo sensors connected through a voltage divider and monitored by an ESP32 microcontroller. As footsteps apply pressure on the piezo elements, an AC voltage is produced and measured using a DC voltage sensor. The ESP32 processes the signal, calculates the generated voltage, counts each valid footstep, and displays the information on a 16×2 I2C LCD. A buzzer provides audible feedback for every detected step, enhancing user interaction. To ensure portability, the system is powered using two 3.7 V batteries configured in a 2S setup and regulated using an MP1584 buck converter. All components are mounted on a durable PVC and acrylic platform for stability. The ESP32 connects to Wi-Fi and publishes live data step count and corresponding voltage to an MQTT broker. Users can monitor the readings through a custom mobile application built with MQTT. The app displays real-time step count and voltage generation, making the system suitable for educational demonstrations, smart walkways, and renewable-energy awareness initiatives. This project effectively combines energy harvesting, IoT communication, and embedded systems to showcase a functional footstep-powered energy model.

2025-01-12T00:00:00Z