Akademik Veri Yönetim Sistemi
ICAME 2021, Balıkesir, Türkiye, 1 - 03 Eylül 2021, sa.24, ss.1-6
Considering that many types of energy resources in the world are
limited, it is inevitable to focus on renewable energy sources to meet the
needs of the world’s increasing population. Ocean energy is undoubtedly one of
the most efficient resources among renewable energy sources in terms of its
potential. There are many studies in the literature that have been conducted
about energy conversion and which are guiding for further studies [1-6]. Ocean
wave energy conversion modeling methods are principally based on the basic wave
parameters with some additional concepts. Although some concepts have been
developed so far, with the advancing technology, scientists have sought
superior solutions. The methods to be used to analyze ocean wave energy are as
significant as obtaining the ocean energy itself, especially in the big data
era for electricity generation and grid connection purposes. The compressive
sensing (CS) technique, which outperforms the classical techniques since it uses
a smaller number of samples [7-8], is one of the algorithms that can be used
for such purposes and found come applications in coastal and ocean engineering
[9-11]. In this paper, we examine the utilization of the CS for the efficient
analysis and assessment of ocean wave energy and ocean energy conversion in
general. Constructing a time series of the wave power following [12-15], the
application of the CS proves to be an advantageous tool for the measurement, analysis,
and assessment of wave energy and ocean energy conversion. We discuss our
findings and comment on their possible usage and applications.