Recent Advances in Energy Harvesting Technologies

Energy demand is increasing due to population growth and economic development, leading to concerns about environmental effects and sustainability. Renewable energy production is gaining popularity due to environmental safety concerns. This book discusses the application of artificial intelligence (AI) for energy harvesting, focusing on metaheuristics and AL algorithms. It highlights the need for a quick start in this area, as energy harvesting technologies are rapidly advancing. The book covers recent advances in energy harvesting methodology, including hybrid algorithms, mechanical to electrical energy conversion, swarm intelligence, MPPT technologies, and polymer nanocomposites.

Format: Hardback
Length: 226 pages
Publication date: 26 October 2023
Publisher: River Publishers

The ever-increasing demand for energy is primarily driven by the exponential growth of the global population and the rapid pace of economic development. Concerns regarding the environmental impact of fossil fuels, coupled with uncertainties surrounding the long-term viability of non-renewable energy sources, have sparked widespread apprehension. In response to these concerns, there has been a significant surge in the demand for renewable energy production. Researchers and engineers are actively exploring innovative ways to harness energy from ambient sources, such as solar, wind, thermal, hydro, and mechanical energy.

This book delves into the realm of artificial intelligence (AI) and its application in energy harvesting. By implementing metaheuristics and AL algorithms, researchers and engineers can gain a rapid understanding of this emerging field. The book serves as a valuable resource for those who are new to energy harvesting, providing a comprehensive overview of the latest advancements and methodologies.

Given the rapid pace of development in energy harvesting technologies, it is essential to summarize the recent breakthroughs in this field. This book is the culmination of a collaborative effort involving numerous researchers from diverse domains, including energy harvesting and artificial intelligence. The book covers a wide range of technical topics, including:

Hybrid Algorithms: These algorithms combine multiple energy harvesting techniques to optimize energy extraction from diverse sources.

Mechanical to Electrical Energy Conversion: This involves converting mechanical energy from ambient sources into electrical energy for various applications.

Swarm Intelligence: This involves the use of collective behavior and intelligence of groups of organisms, such as ants or bees, to optimize energy harvesting processes.

Maximum Power Point Tracking (MPPT) Technologies: These technologies are used to maximize the power output of solar panels or wind turbines by adjusting their operating conditions.

Polymer Nanocomposites: These materials are used in energy harvesting devices to enhance their efficiency and durability.

In conclusion, the demand for energy is on the rise, driven by population growth and economic development. Addressing these challenges requires innovative solutions, such as renewable energy production and the application of artificial intelligence in energy harvesting. This book provides valuable insights into these emerging fields, empowering researchers and engineers to contribute to a more sustainable and energy-efficient future.

Weight: 558g
Dimension: 158 x 243 x 19 (mm)
ISBN-13: 9788770228459