Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration

Front Cover -- Ocean Energy Modeling and Simulation With Big Data -- Copyright Page -- Dedication -- Contents -- Preface -- 1 Fundamental and principles of the ocean energy system -- 1.1 Introduction -- 1.2 Principles of the ocean energy system -- 1.3 Types of ocean energy system -- 1.3.1 Estimation of the energy calculation of all types of ocean energy system -- 1.4 Fundamentals of tidal energy -- 1.4.1 Generation of tides -- 1.4.2 Principles of tidal power stations -- 1.4.2.1 Single-basin system of tidal energy -- 1.4.2.2 Two-way tidal barrage generations -- 1.4.3 Two-basin tidal energy systems -- 1.4.3.1 Double-basin system -- 1.4.3.2 Double-basin with linked basin operation -- 1.4.4 Double-basin with paired basin operation -- 1.4.4.1 Merits and demerits of the tidal energy system -- 1.4.4.1.1 List of advantages of tidal energy -- 1.4.4.1.2 List of disadvantages of tidal energy -- 1.5 Fundamentals of a wave energy system -- 1.5.1 Power in waves -- 1.6 Advantages and disadvantages of a wave energy system -- 1.6.1 Advantages -- 1.6.2 Disadvantages -- 1.7 Fundamentals of an offshore energy system -- 1.8 Worldwide and Indian scenarios of ocean energy systems -- 1.8.1 Global scenario of ocean energy systems -- 1.8.2 Indian scenario of ocean energy systems -- 1.8.2.1 Assessment of ocean energy systems -- 1.8.2.1.1 Sihwa Lake Tidal Power Station, South Korea (254MW) -- 1.8.2.1.2 La Rance tidal power plant, France (240MW) -- 1.8.2.1.3 Swansea Bay Tidal Lagoon, United Kingdom (240MW) -- 1.8.2.1.4 MeyGen Tidal Energy Project, Scotland-86MW -- 1.8.2.1.5 Annapolis royal generating station, Canada-20MW -- 1.9 Exercises -- Further reading -- 2 Big data principles and paradigm -- 2.1 Introduction of big data -- 2.1.1 Structured big data -- 2.1.2 Unstructured big data -- 2.1.3 Semistructured big data -- 2.1.3.1 Major sources of big data.