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Reliability Analysis of Offshore Wave Energy and Seaweed Farming System

Reliability Analysis of Offshore Wave Energy and Seaweed Farming System

Olanrewaju, Oladokun Sulaiman, Tee, Kong Fah ORCID: 0000-0003-3202-873X and Haji Mokhtar, Nor Aieni bt (2017) Reliability Analysis of Offshore Wave Energy and Seaweed Farming System. David Publishing Company. ISBN 978-1934502235

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Abstract

This book presents the risk analysis technique for floating device that can be used for wave energy, seaweed farming and other ocean platforms. The beginning chapters cover aspects of identification of parameters for system risk and reliability-based design that is increasingly adopting risk and reliability analysis for safety, efficiency and sustainable development purpose. This book also covers model application of risk analysis towards the deployment of seaweed and wave energy device in open water. Chapter six describes environmental impact assessment of ocean structure and sustainable use of the ocean resources. It is expected to open doors to creative system designs, autonomous technology for inspection and the implementation of prospective market boom of offshore aquaculture system for higher end marine biotechnological products to support current needs for macro-algae by products. Offshore Macro-algae cultivation offers huge economic value as results from many countries have shown that it is one of the important source for food production, the cosmetic industry, energy production, greenhouse gas capture, pollution filter, medicine, food supplement, food processing product, stabilizer and emulsier of dairy, baking, cosmetic and pharmaceutical and chemical products, etc. Likewise, piloting ocean renewable energy systems and development has huge potential to provide future alternative power source for humanity.

Item Type: Book
Uncontrolled Keywords: Reliability Analysis; Offshore Wave Energy; Seaweed Farming System
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 25 Mar 2019 17:40
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/23189

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