2020
DOI: 10.3390/en13030768
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Spatio-Temporal Assessment of Climate Change Impact on Wave Energy Resources Using Various Time Dependent Criteria

Abstract: The wave energy resources in the Indian Ocean can be considered as a potential alternative to fossil fuels. However, the wave energy resources are subject to short-term fluctuations and long-term changes due to climate change. Hence, considering sustainable development goals, it is necessary to assess both short-term (intra-annual) variation and long-term change. For this purpose, the simulated wave characteristics were utilized, and the wave power and its variation and change were analyzed in the whole domain… Show more

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Cited by 13 publications
(8 citation statements)
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“…Particular attention was furthermore dedicated to uncertainties in the evaluation of the available and expected powers associated with (i) wave-climate temporal variability, (ii) coastal physical processes (such as wave-current interactions), (iii) model implementation and (iv) energy extraction. Although future wave-climate projections may be exploited to conduct sustainability analysis of WEC in relation to climate change e.g., [26,27], these investigations were disregarded in the present review primary dedicated to hindcast-historical studies that integrate reduced levels of uncertainties. Beyond a simple comparison of advantages and drawbacks of a series of resource studies, this review highlighted the potential of exploiting different data for conducting improved resource assessments, thus promoting original resource characterizations and analyses.…”
Section: Introductionmentioning
confidence: 99%
“…Particular attention was furthermore dedicated to uncertainties in the evaluation of the available and expected powers associated with (i) wave-climate temporal variability, (ii) coastal physical processes (such as wave-current interactions), (iii) model implementation and (iv) energy extraction. Although future wave-climate projections may be exploited to conduct sustainability analysis of WEC in relation to climate change e.g., [26,27], these investigations were disregarded in the present review primary dedicated to hindcast-historical studies that integrate reduced levels of uncertainties. Beyond a simple comparison of advantages and drawbacks of a series of resource studies, this review highlighted the potential of exploiting different data for conducting improved resource assessments, thus promoting original resource characterizations and analyses.…”
Section: Introductionmentioning
confidence: 99%
“…The re-analysis wind dataset of the JRA-55 model with the spatial and temporal resolutions of 60 km and 6 h, respectively, was used to force the numerical wave model i.e., SWAN (Simulating WAves Nearshore) Cycle III version 41.31 56 . Although SWAN has been developed to simulate the wave characteristics in nearshore, it has been successfully adopted to generate the oceanic wave climate as well 20 , 21 , 57 . The simulation was performed for the period of 1958–2019 and covered the whole globe.…”
Section: Methodsmentioning
confidence: 99%
“…Hence, it is necessary to investigate the offshore/coastal climate variability for future planning, prevention, and mitigation of natural disasters 13 , 14 . Furthermore, assessing the intra-annual variability in wind and wave climate can be used for zone classification of a certain domain 15 19 , whereas the long-term change is also necessary for defining the stability and sustainability of wave climate and energy 8 , 9 , 20 23 . Although wave energy assessment has been suggested by the International Electrotechnical Commission (IEC) 24 to be performed for a minimum of 10 years, long-term variability of wind and wave climate is mainly investigated using a time span of about 30 years in order to reduce the uncertainties associated with climate variability 25 .…”
Section: Introductionmentioning
confidence: 99%
“…They differ in size, physical geography, population, culture, international position, political status (i.e. Small Island Developing States, dependent islands and Sub-National Island Jurisdictions), economy, human development and type of governance (see Table 1 for a comparison of small islands in the WIO) (Anckar, 2013;Bouchard et al, 2019;Kamranzad et al, 2020).…”
Section: Geographic Scopementioning
confidence: 99%