Statistical analysis of wave height: The wave energy potential aspect

Srinjoy Nag Chowdhury, Saniya Dhawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wave is a general term given to 'disturbance in water'. The waves produce humungous amounts of energy and therefore the study of different characteristics associated with waves becomes an important aspect. One such characteristic is the wave height. The height of a wave determines the impact that it would have when it hits the surface thereby playing a crucial role in deciding the quality and commercial viability of a beach and in determining the extent of transportation of sediments to proximate coastal areas. If the wave becomes very vigorous then it would pose a serious threat to the lives of the people inhabiting coastal areas. Therefore the analysis of different characteristics of waves becomes all the more important. In this paper, we have presented a statistical estimation of one such characteristic namely the wave height, which is also one of the most significant parameters used for estimating wave energy. In our review, we have used fundamental distribution functions to model the wave height, and have calculated error using various error detection tests thereby concluding the best fit for wave height. We have also provided a retrospective view of wave energy potential, in the light of significant wave height analyzed.

Original languageEnglish
Title of host publication1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385879
DOIs
Publication statusPublished - 13-02-2017
Externally publishedYes
Event1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 - Delhi, India
Duration: 04-07-201606-07-2016

Conference

Conference1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
CountryIndia
CityDelhi
Period04-07-1606-07-16

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Optimization
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Chowdhury, S. N., & Dhawan, S. (2017). Statistical analysis of wave height: The wave energy potential aspect. In 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 [7853314] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEICES.2016.7853314