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Advanced computational and mathematical techniques for wave energy converter systems / Pankaj Borah, Tien Anh Tran, Sasan Tavakoli, editors
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online
View online- Format:
- Book
- Series:
- STEAM-H (Series) 2520-1948
- STEAM-H : science, technology, engineering, agriculture, mathematics & health , 2520-1948
- Language:
- English
- Subjects (All):
- Ocean wave power.
- Physical Description:
- 1 online resource : illustrations.
- black and white
- illustrations
- Place of Publication:
- Cham, Switzerland : Springer, [2026]
- Summary:
- "This book provides an in-depth examination of the advanced computational and mathematical techniques crucial for the development and optimization of Wave Energy Converter (WEC) systems. As global warming and climate change continue to impact ocean engineering, the need for sustainable and renewable energy sources becomes increasingly urgent. Wave energy, with its vast and largely untapped potential, stands out as a key player in clean power generation. This volume serves as a focal point in marine renewable energies, aligning with the Sustainable Development Goals (SDG-14). The chapters in this book cover a wide array of topics, showcasing the multifaceted applications of computation and hydrodynamic simulation in ocean engineering. Key concepts include the use of multi-criteria decision-making (MCDM) techniques combined with fuzzy logic theory for optimizing ocean wave energy. The book also presents a systematic assessment of WECs using spherical fuzzy multi-criteria group decision-making techniques. Readers will gain insights into the latest advancements in Computational Fluid Dynamics (CFD) and multi-objective optimization algorithms, which are essential for enhancing wave energy harvesting efficiency. Furthermore, the integration of Artificial Intelligence (AI) for predictive maintenance and fault diagnosis in hybrid solar-wind microgrid systems is thoroughly explored. This book is designed for researchers, engineers, and practitioners in the fields of marine renewable energies and ocean engineering. It offers cutting-edge insights into the computational and optimization strategies necessary for advancing sustainable maritime transportation and achieving the Sustainable Development Goals (SDG-14). Whether you are a seasoned professional or a newcomer to the field, this book provides the knowledge and tools needed to harness the power of wave energy and contribute to a sustainable future"-- Springer Nature Link
- Contents:
- Fuzzy multi-criteria decision-making for oscillating water column optimization / Ajoy Kanti Das, Nandini Gupta, Takaaki Fujita, Suman Das, Carlos Granados, Rakhal Das, and Rajib Mallik
- Assessment of the functions for converting wave to energy using spherical fuzzy multi-criteria group decision-making technique / Raili Basu, Sayanta Chakraborty, and Apu Kumar Saha
- AI-driven predictive maintenance and fault diagnosis in hybrid solar-wind microgrids using edge computing for rural electrification / R. Poornima, S. Kannaki, and P. Gayathri
- Renewable energy sources : an insight from geothermal and wave energy converter systems / T. K. Alasi, C. O. Ogunkoya, D. E. Adeleke, M. A. Fakunle, and L. O. Olawale
- Integration of artificial intelligence in renewable energy / Ritika Singh
- Advancing energy systems with CFD from renewable technologies to nuclear reactor safety / Mohsin Raza, Zahid Kumail, Tahsin Nawaz, and Syed Zia Uddin
- Multi-objective optimization algorithms for wave energy harvesting efficiency / R. Rajasree, D. Lakshmi, K. Stalin, and R. Karthick Manoj
- The evolution of computational fluid dynamics (CFD) simulation models on wave energy converter (WEC) / Silpisikha Goswami and Santu Das
- Computational study on singularly perturbed 1D transport equations with space delay argument / Santosh Kumar Sahani, S. Padhmanaban, and V. Subburayan
- Control strategies for wave energy converter system / Jayanta Biswas
- AI-powered grid optimization for renewable energy integration / Pragati V. Thawani, Suhashini Chaurasia, and Vishal S. Thawani
- Hydrogen energy generation for sustainable future technologies / Santanu Kumar Dash, Jeslin Elsa Jose, Niranjana Sunil, V. S. Sarath, and P. Vaishnav
- Artificial intelligence and computational mechanics in wave energy converter systems / S. Reshmi, Ravi Thirumalaisamy, J. Sudarvel, and J. Smruthymol
- Tethering artificial intelligence for enhancing renewable energy : innovations and challenges / Swapnil Deshpande and Neetu Amlani
- Fluid–structure interaction : modeling for future global impact / Sampath Emani, Gurunadh Velidi, and Pankaj Borah
- Computational fluid dynamics in renewable energy / Sampath Emani, Gurunadh Velidi, and Pankaj Borah
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed July 24, 2026)
- Other Format:
- Print version: Advanced computational and mathematical techniques for wave energy converter systems
- ISBN:
- 9783032108043
- 3032108047
- OCLC:
- 1591384884
- Access Restriction:
- Restricted for use by site license
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