The book is a collection of recent research findings in the area of solar energy. This book is intended for professionals working in the field of solar energy, including researchers, teachers, scientists, engineers, and technologists. Keeping in view that there is abundant literature available on characteristics of sunlight and basics of semiconductors physics behind the working of solar cells, this book is taking a lead to introduce the reader with recent research findings. This book includes details of silicon solar cell, dye-sensitized solar cell, perovskite solar cell, third generation silicon quantum well solar cell, crystalline-silicon solar photovoltaic module, effect of shading on power output of a solar cell, performance study of megawatt scale power plant and design optimization method for power plants to maximize energy and power output from a given area. It is recommended that the professionals must have a copy of this book.
This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years researchers and practitioners have proposed and developed new strands of advanced, intelligent techniques and methodologies. Evolutionary computing approaches are introduced in the context of a wide range of manufacturing activities, and through the examination of practical problems and their solutions, readers will gain confidence to apply these powerful computing solutions. The initial chapters introduce and discuss the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully implement their own solutions to real life advanced manufacturing problems. In the later chapters, modified and improved versions of evolutionary algorithms are discussed. The book concludes with appendices which provide general descriptions of several evolutionary algorithms.
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