New Energy Exploitation and Application

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Eco-Smart Integration Harnessing ESP32 Microcontroller for Solar-Powered Home Efficiency

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https://doi.org/10.54963/neea.v3i2.274
Hadizadeh Masali, M., Zargarzadeh, H., & Li, X. (2024). Eco-Smart Integration Harnessing ESP32 Microcontroller for Solar-Powered Home Efficiency. New Energy Exploitation and Application, 3(2), 185–203. https://doi.org/10.54963/neea.v3i2.274
Volume 3 Issue 2 (2024): In Progress
Copyright (c) 2024 Milad Hadizadeh Masali, Hassan Zargarzadeh, Xianchang Li
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Authors

  • Milad Hadizadeh Masali Electrical Engineering Department, Lamar University, Beaumont, TX 77705, USA
  • Hassan Zargarzadeh
    Electrical Engineering Department, Lamar University, Beaumont, TX 77705, USA https://orcid.org/0000-0003-0332-808X
  • Xianchang Li Mechanical Engineering Department, Lamar University, Beaumont, TX 77705, USA

As smart home technology advances, the quest for sustainable energy management solutions grows. This study examines the interaction between solar energy systems and smart home activities, focusing on using an ESP32 microcontroller to regulate lighting and temperature. The proposed system combines sophisticated software algorithms with authentic hardware components to allow for real-time monitoring and control of light and temperature conditions, as well as online tracking of solar system data. Communication protocols and the ESP32 microcontroller create an integrated smart home system that allows homeowners to control their environment remotely using smart mobile devices. Solar panel installation enhances energy efficiency and decreases dependence on traditional grid-based electricity, promoting an environmentally friendly household setting. This study demonstrates how smart home systems may significantly change household energy usage patterns by evaluating hardware design and software execution to ensure comfort, safety, and sustainability. This research showed considerable advancements in energy conservation and improved home environmental control. We integrated smart controllers and light sensors to reduce daily lighting energy consumption from 0.17 kWh to 0.12 kWh, and our smart system reduced the initial air conditioning energy needs from 15.6 kWh/day to 14.48 kWh/day. These results indicate improvements in energy management and home environmental control.

Keywords:

smart home ESP32 solar energy light control temperature control renewable energy energy efficiency

Author Biographies

Milad Hadizadeh Masali is a Ph.D. candidate in Electrical Engineering at Lamar University, specializing in power electrical engineering and renewable energy. He holds his master’s degree in electrical engineering and his bachelor’s degree in electronic engineering from the University of Guilan. With extensive industry experience, Milad has contributed significantly to renewable energy and smart home technologies through his innovative research and numerous publications.

Dr. Hassan Zargarzadeh is a senior professor at the Phillip M. Drayer Electrical Engineering Department at Lamar University, specializing in autonomous robotics and energy optimization. He earned his Ph.D. in Electrical Engineering from the Missouri University of Science and Technology in 2012. Dr. Zargarzadeh has published numerous papers in areas including robotics, energy systems, and control engineering, contributing significantly to the advancement of these fields.

Dr. Xianchang Li is a professor in the Department of Mechanical Engineering at Lamar University. He holds a Ph.D. in Mechanical Engineering from Clemson University and both an M.S. and B.S. in Thermal Engineering from Tsinghua University. Dr. Li specializes in thermal engineering and has received several awards, including the Lamar University Merit Award in 2009. He has an extensive publication record in his field, contributing significantly to research in thermal systems and energy optimization.

Highlights

1. Innovative Research Methodology
The research employs integrating solar energy systems with smart home technology, using the ESP32 microcontroller. This combination allows for real-time monitoring and control of home lighting and temperature through software algorithms and hardware components.
The methodology includes:
System Design and Planning: Detailed analysis of energy consumption and design of solar systems.
Implementation: Laboratory testing of the ESP32 microcontroller, sensors, and smart controller.
Algorithm Development: Creation of sophisticated algorithms for energy optimization, including predictive analytics and optimal control strategies.

2. Groundbreaking Findings
The study presents advancements in energy conservation and improved home environmental control:
Energy Reduction: Daily lighting energy consumption was reduced from 0.17 kWh to 0.12 kWh, and air conditioning needs decreased from 15.6 kWh/day to 14.48 kWh/day.
User Interface: Development of an online user interface for real-time data access and remote system control, enhancing user interaction and energy management.

3. Practical Implications for the Field
This research offers a sustainable solution for residential energy management:
Energy Efficiency: The integration of smart home technology with renewable energy sources leads to significant energy savings and reduced reliance on traditional grid-based electricity.
Environmental Impact: By promoting the use of solar energy, the system contributes to reducing carbon footprints and fostering a more environmentally friendly household setting.
Scalability: The methodology and findings can be applied to various residential settings, demonstrating the potential for widespread adoption of smart home energy systems.

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