1 Department of Mechanical Engineering, Government Polytechnic, kustagi-583277, Karnataka, India.
2 Department of Electronics and Communication Engineering, Government CPC polytechnic Mysore-570001, Karnataka, India.
3 Department of Civil Engineering, Government polytechnic Nagamangala 571432, Karnataka, India.
Research Article
World Journal of Advanced Research and Reviews, 2019, 03(01), 077-086
Received on 14 July 2019; revised on 26 August 2019; accepted on 29 August 2019
The rapid urbanization and rising energy demand in smart cities require innovative and sustainable power solutions to ensure a stable and efficient energy supply. Hybrid solar-wind energy systems offer a viable approach by leveraging the complementary nature of solar and wind resources to enhance energy reliability and sustainability. This paper presents an in-depth analysis of the integration of solar and wind energy within smart city infrastructures, emphasizing key aspects such as system design, energy management strategies, and real-time optimization techniques enabled by artificial intelligence (AI) and the Internet of Things (IoT). The study explores the technical components of hybrid energy systems, including photovoltaic (PV) panels, wind turbines, power converters, energy storage units, and grid integration mechanisms. Advanced control algorithms and predictive models are examined to optimize energy production, distribution, and consumption, addressing challenges such as intermittency, power fluctuations, and demand-response management. The role of AI-driven forecasting and IoT-based real-time monitoring in improving system efficiency and reliability is highlighted. Furthermore, key challenges associated with hybrid solar-wind systems, including resource variability, infrastructure requirements, grid stability, and economic feasibility, are discussed. Potential solutions such as adaptive energy storage, smart grid integration, and cost-effective deployment strategies are proposed to enhance system resilience and economic viability. A comparative analysis using figures, tables, and bar charts illustrates the performance metrics, cost-benefit analysis, and environmental advantages of hybrid energy systems over conventional power generation methods. This research contributes to the ongoing efforts toward sustainable urban energy solutions by providing insights into the technological advancements and strategic implementations of hybrid solar-wind energy systems. The findings underscore the potential of AI and IoT-driven optimization in enhancing the efficiency, reliability, and scalability of renewable energy solutions for smart cities.
Hybrid solar-wind energy system; Smart cities; Renewable energy; Energy storage; Artificial intelligence (AI); Internet of Things (IoT); Smart grid; Predictive energy management
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Deepika C, Divya MR and Jayanthi MB. Hybrid solar-wind energy systems for smart cities: A multi-disciplinary approach. World Journal of Advanced Research and Reviews, 2019, 3(1), 077-086. Article DOI: https://doi.org/10.30574/wjarr.2019.3.1.0130