Arun Kumar Yadav,
Rachit Srivastava,
Anurag Dwivedi,
Mashkoor Ahmad,
Jay Bahadur Singh,
Tej Prakash Verma,
- Assistant Professor, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- Assistant Professor, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- Assistant Professor, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- Student, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- Student, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
- Student, Department of Electrical Engineering, Bansal Institute of Engineering and Technology Lucknow, Uttar Pradesh, India
Abstract
With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, SHEMS adaptively adjust energy consumption patterns to match user preferences, tariff rates, and environmental conditions. Using smart HEMS integration in conjunction with the rapid improvements in advanced power electronics and alternative energy technologies, as well as the integration of renewable and stored energy sources into residential structures, can improve the efficiency of energy conversion and consumption within homes. Furthermore, SHEMS enable seamless integration with renewable energy sources, grid-level demand response programs, and electric vehicle charging infrastructure, thereby fostering a more resilient and sustainable energy ecosystem. Through case studies and simulation results, we demonstrate the potential energy savings, cost reductions, and environmental benefits associated with SHEMS employment. Finally, we discuss key challenges, research directions, and future opportunities for advancing SHEMS technology towards widespread adoption and societal impact.
Keywords: energy-efficient automation, smart energy management, SHEMS, energy systems, renewable energy management, environmental conditions
[This article belongs to Journal of Thermal Engineering and Applications(jotea)]
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Journal of Thermal Engineering and Applications
Volume | 11 |
Issue | 02 |
Received | June 12, 2024 |
Accepted | July 10, 2024 |
Published | August 20, 2024 |