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Home DECCAN ACEDEMIC INTERNATIONAL PUBLISHERS Energy Systems Analysis: Modelling and Optimization BY Dr. Namilakonda Srilatha
Analog VLSI Design: Techniques for Signal Processing and Communication by Dr.G.Sunil Kumar, Dr.Sunita P. Deshmukh, Prof.Rashmi P.Belokar, Dr.Veerababu
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Electrical Circuits: Principles and Analysis for Modern Applications by Mr. Jayesh R Dhuri,Mr. Ganesh G Mhatre,Mr. Suhas Waghmare,Mr. Samadhan A. Patil.

Energy Systems Analysis: Modelling and Optimization BY Dr. Namilakonda Srilatha

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The world’s energy landscape is undergoing a period of unprecedented transformation. Concerns about climate change, energy security, and economic sustainability are driving the development of new technologies and a shift towards cleaner, more efficient energy systems. In this dynamic environment, the ability to analyze, model, and optimize energy systems is more critical than ever.
Energy Systems Analysis Modelling and Optimization provides a comprehensive introduction to the theory and practice of this vital field. This book is designed for a broad audience, including students, engineers, policymakers, and anyone interested in understanding the complexities of modern energy systems.
We begin by establishing the fundamental principles of energy systems analysis, exploring concepts like energy demand, supply, conversion, and storage. We then delve into the realm of modelling, exploring various approaches for representing energy systems, from simple linear models to complex, multi-period optimization models.
A significant focus is placed on optimization techniques. We introduce powerful tools like linear programming, mixed-integer linear programming, and non-linear programming, demonstrating their application in optimizing energy systems for various objectives, such as minimizing cost, maximizing efficiency, or reducing environmental impact.
Recognizing the importance of real-world application, the book incorporates numerous case studies that showcase how these techniques are used to address critical energy challenges. These case studies explore topics such as designing optimal power generation portfolios, integrating renewable energy sources, and planning for future energy needs.
Throughout the book, we emphasize the importance of considering the interconnectedness of energy systems with other sectors, such as transportation and buildings. We also address the growing role of data analytics and artificial intelligence in energy system optimization.
Energy Systems Analysis Modelling and Optimization aspires to equip readers with the knowledge and skills necessary to navigate the complexities of modern energy systems. We believe that by applying the principles and techniques presented in this book, we can build a more sustainable and secure energy future for generations to come.

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