scispace - formally typeset
Open AccessJournal ArticleDOI

Climate change impact on wave energy in the Persian Gulf

TLDR
In this paper, the effect of climate change on wave energy in the Persian Gulf is investigated, and the results of these two 30-yearly wave modelings using SWAN model showed that the average wave power changes slightly in the future.
Abstract
Excessive usage of fossil fuels and high emission of greenhouse gases have increased the earth’s temperature, and consequently have changed the patterns of natural phenomena such as wind speed, wave height, etc. Renewable energy resources are ideal alternatives to reduce the negative effects of increasing greenhouse gases emission and climate change. However, these energy sources are also sensitive to changing climate. In this study, the effect of climate change on wave energy in the Persian Gulf is investigated. For this purpose, future wind data obtained from CGCM3.1 model were downscaled using a hybrid approach and modification factors were computed based on local wind data (ECMWF) and applied to control and future CGCM3.1 wind data. Downscaled wind data was used to generate the wave characteristics in the future based on A2, B1, and A1B scenarios, while ECMWF wind field was used to generate the wave characteristics in the control period. The results of these two 30-yearly wave modelings using SWAN model showed that the average wave power changes slightly in the future. Assessment of wave power spatial distribution showed that the reduction of the average wave power is more in the middle parts of the Persian Gulf. Investigation of wave power distribution in two coastal stations (Boushehr and Assalouyeh ports) indicated that the annual wave energy will decrease in both stations while the wave power distribution for different intervals of significant wave height and peak period will also change in Assalouyeh according to all scenarios.

read more

Content maybe subject to copyright    Report

Climate Change impact on wave energy in the Persian Gulf
Author
Kamranzad, Bahareh, Etemad-Shahidi, Amir, Chegini, Vahid, Yeganeh-Bakhtiary, Abbas
Published
2015
Journal Title
Ocean Dynamics
Version
Accepted Manuscript (AM)
DOI
https://doi.org/10.1007/s10236-015-0833-y
Copyright Statement
© 2015 Springer Berlin / Heidelberg. This is an electronic version of an article published in
Ocean Dynamics, Volume 65, Issue 6, pp 777-794, 2015. Ocean Dynamics is available online
at: http://link.springer.com/ with the open URL of your article.
Downloaded from
http://hdl.handle.net/10072/167706
Griffith Research Online
https://research-repository.griffith.edu.au

1
Article title: Climate Change impact on wave energy in the Persian Gulf
Journal name: Ocean Dynamics
Authors:
- Bahareh Kamranzad, PhD, Ocean Engineering and Technology Research Center, Iranian National
Institute for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., Tehran,
1411813389, IR Iran, Fax: +98-21-66944869
E-mail address: kamranzad@inio.ac.ir
- Amir Etemad-Shahidi
*
, PhD, Griffith School of Engineering, Gold Coast campus
Griffith University QLD 4222, Australia
Tel: +61-07-5552 9267, Fax: +61-07-5552-8065
*
Corresponding Author, E-mail: a.etemadshahidi@griffith.edu.au
-Vahid Chegini, PhD, Ocean Engineering and Technology Research Center, Iranian National Institute
for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., Tehran,
1411813389, IR Iran, Fax: +98-21-66944869
E-mail address: vahid.chegini@gmail.com
- Abbas Yeganeh-Bakhtiary, PhD, School of Civil Engineering, Iran University of Science and
Technology,
Tehran, Iran, P.O. Box 16765-163
E-mail address: yeganeh@iust.ac.ir

2
Abstract
Excessive usage of fossil fuels and high emission of greenhouse gases have increased the earth’s
temperature, and consequently have changed the patterns of natural phenomena such as wind speed,
wave height, etc. Renewable energy resources are ideal alternatives to reduce the negative effects of
increasing greenhouse gases emission and climate change. However, these energy sources are also
sensitive to changing climate. In this study, the effect of climate change on wave energy in the Persian
Gulf is investigated. For this purpose, future wind data obtained from CGCM3.1 model were
downscaled using a hybrid approach and modification factors were computed based on local wind data
(ECMWF) and applied to control and future CGCM3.1 wind data. Downscaled wind data was used to
generate the wave characteristics in the future based on A2, B1 and A1B scenarios, while ECMWF
wind field was used to generate the wave characteristics in the control period. The results of these two
30-yearly wave modelings using SWAN model showed that the average wave power changes slightly
in the future. Assessment of wave power spatial distribution showed that the reduction of the average
wave power is more in middle parts of the Persian Gulf. Investigation of wave power distribution in
two coastal stations (Boushehr and Assalouyeh ports) indicated that the annual wave energy will
decrease in both stations while the wave power distribution for different intervals of significant wave
height and peak period will also change in Assalouyeh according to all scenarios.
Keywords: wave energy; climate change; CGCM3.1; Persian Gulf
1. Introduction
Global observations indicate that the worldwide temperature has increased by about 0.74ºC per century
(Solomon et al., 2007). Satellite measurements show that the extent of snow cover has decreased about
10% since the late 1960s. International Panel on Climate Change (IPCC) also highlighted the changing
precipitation in the middle and high latitudes of the Northern Hemisphere. In addition, the rate of
global mean sea level rise is determined to be 1 to 2 mm/yr during the 20
th
century (Ghosh and Misra,
2010). A rising trend of wave height is also reported in North East Atlantic since the late 1980s, which
is estimated to be about 2% per year and around 30 to 50% in thirty years (Carter and Draper, 1988;
Carter and Bacon, 1991). Furthermore, the recent investigations indicate that there is an increase in

3
mean sea level, significant wave height and average wind speed to about 30 cm/century, 7 to 10
cm/century and 1 m/s/century, respectively (Sündermann et al., 2001). Factors causing climate change
include ocean processes such as the motion of tectonic plates, variations in solar radiation, variations in
the earth's orbit, changes in greenhouse gas concentrations due to the human activities, etc. Since
greenhouse gases greatly affect the temperature of the earth, increase in their emission cause increase in
earth temperature. Recent studies also show that one of the main effective parameters in global
warming is the increase of the greenhouse gases emission due to the development activities (Houghton
et al., 2001). Indeed, a high level of carbon dioxide produced by excessive use of fossil fuels is the
main reason of global warming (Houghton et al., 2001). Global warming due to the increasing
greenhouse gases emission can affect highly on environment and human activities such as sea level
rise, flooding in coastal areas, erosion of sandy beaches, etc. (Kont et al., 2003).
Renewable energy resources are alternatives for the fossil fuels. These sources of energy are green and
clean and can reduce the negative effects of increasing in greenhouse gases emission and global
warming. Marine renewable energies are valuable energy resources in areas adjacent to the seas or
oceans (e.g. Morim et al., 2014). International Energy Agency (IEA) (IEA-OES, 2007) declared that
the global oceans contain the capacity of 93100 TWh/yr, which is the same or greater than the current
global power generation capacity (17400 TWh/yr) (Tsai et al., 2012). Among the marine renewable
energy resources, waves contain the highest energy density (Leijon et al., 2003). Moreover,
predictability as well as the low visual and environmental impact makes the wave energy a valuable
renewable energy resource (Iglesias et al., 2009). However, the amount of energy captured from the
renewable resources can be influenced by climate change (Breslow and Sailor, 2002; Harrison and
Wallace, 2005). Therefore, it is essential to investigate the effects of climate change on renewable
energy resources. Changes in the wind or wave patterns induced by the climate change can be
evaluated based on the field observations or the climate prediction models. General Circulation Models
or Global Climate Models (GCMs) are developed for simulation of global climate response due to
increasing greenhouse gases emission with different emission scenarios in low resolutions while
Regional Climate Models (RCMs) are developed as local models with higher resolution for considering
the different responses of climate to the rising greenhouse gasesemission.
There are many studies around the world investigating the effect of climate change on wind or wave
regime using different methods. For example, Chini et al. (2010), using data obtained from a

4
continental shelf climatic wave model, showed that the emission scenarios result in an increase of 12%
for extreme wave height for 100-yr return period in eastern coasts of UK. According to studies of
Harrison and Wallace (2005), wind speed has increased about 15 to 20% during four decades. Reeve et
al. (2011) used both global and regional climate models for assessing the impact of climate change on
wave energy in UK and showed that the wave energy will increase by about 2 to 3% according to A1B
scenario and will decrease by about 1 to 3% according to B1 scenario. Pryor et al. (2004) investigated
the temporal and spatial variation in wind speed and power using the data obtained from a GCM, i.e.,
HadCM3 (Stratton, 1999) and local wind fields, i.e., ECMWF (Simmons and Gibson, 2000) and
NCEP/NCAR (Kalnay et al., 1996) in Baltic Sea and indicated that the wind power has no significant
change in the future.
Charles et al. (2012) used the climate model ARPEGE-Climat (Gibelin and Déqué 2003) and showed
that the wave height will decrease in the future about 20 cm in summer in the Bay of Biscay. Lionello
et al. (2003), using downscaled ECHAM-4 model in the Adriatic Sea and found that the extreme wave
height will decrease in the future. In Mediterranean, the results obtained from a regional climate model
showed that the distribution of significant wave height will change seasonally (Lionello et al., 2008).
Segal et al. (2001) used RegCM2 (Giorgi et al., 1993) model and represented that the daily average
wind power will decrease up to 30% in US. Breslow and Sailor (2002) pointed out that the climate
change causes a reduction of 10 to 15% in wind speed and therefore, 30 to 40% for wind power.
Pereira de Lucena et al. (2010) used a regional climate model in Brazil and indicated that the wind
power will not change in the future.
Considering the growth of population and industries around the seas adjacent to Iran, providing the
electricity in future is a very important issue. The marine energies and especially the wave energy are
appropriate candidates for achieving this purpose. Hence, recently, marine renewable energy resources
such as wind and wave power potentials have been widely investigated in Iran for its adjacent seas, i.e.,
Persian Gulf, Gulf of Oman and Caspian Sea. Abbaspour and Rahimi (2011) evaluated the wave
energy potential in some coastal locations in the northern coasts of the Persian Gulf. Assessment of
wave energy distribution in the whole Persian Gulf was carried out by Etemad-Shahidi and Kamranzad
(2011) and Kamranzad et al. (2013a) and the wave energy potential in selected areas was investigated
by Kamranzad et al. (2014). Evaluation of wave energy potential in the northern coasts of the Gulf of
Oman was also carried out by Saket and Etemad-Shahidi (2012). Similarly, Kamranzad et al. (2012),

Citations
More filters
Journal ArticleDOI

Climate change impacts on the energy system: a review of trends and gaps.

TL;DR: This paper critically reviews the literature on the impacts of climate change on the energy supply system, summarising the regional coverage of studies, trends in their results and sources of disagreement, and examines the ways in which these impacts have been represented in integrated assessment models of the electricity or energy system.
Journal ArticleDOI

Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy

TL;DR: In this article, a review of renewable energy resources in Iran in general, including solar, hydropower, wind, biomass and geothermal energy, with a focus on marine resources is presented.
Journal ArticleDOI

Sustainability of wave energy resources in southern Caspian Sea

TL;DR: In this article, the wave energy potential and its spatial and temporal variations in the southern Caspian Sea were evaluated and it was concluded that the central station is the most appropriate location for wave energy harvesting.
Journal ArticleDOI

The impact of climate variability and change on the energy system: A systematic scoping review

TL;DR: Evidence of consistent increase in energy demand for Africa, the Americas and Asian continent is found and future impact assessment must integrate the impact of CV&C on power demand and supply while consider socioeconomic dynamics, cross-sectoral linkages and back-loops in a complete energy system model.
Journal ArticleDOI

Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset

TL;DR: In this paper, the authors presented the 18-year (2000-2017) spatio-temporal distribution of the annual, seasonal and monthly mean wave energy based on the significant height of combined wind waves and swell, mean wave direction and energy wave period.
References
More filters
Journal ArticleDOI

The NCEP/NCAR 40-Year Reanalysis Project

TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
Book

Principles of geographical information systems

TL;DR: This paper aims to provide a history of fuzzy logic in information handling and geostatistics and some of the techniques used to deal with fuzzy logic problems.
Journal ArticleDOI

A third-generation wave model for coastal regions: 1. Model description and validation

TL;DR: In this article, a third-generation numerical wave model to compute random, short-crested waves in coastal regions with shallow water and ambient currents (Simulating Waves Nearshore (SWAN)) has been developed, implemented, and validated.
Journal ArticleDOI

Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling

TL;DR: There is a need for a move away from comparison studies into the provision of decision-making tools for planning and management that are robust to future uncertainties; with examination and understanding of uncertainties within the modelling system.
Related Papers (5)
Frequently Asked Questions (15)
Q1. What are the contributions in "Climate change impact on wave energy in the persian gulf author" ?

In this paper, the effects of climate change on renewable energy resources are evaluated based on the field observations or the climate prediction models. 

In order to estimate the future wave power, assessment of the effect of climate change on wave power characteristics is very important. Wave modeling in the control period was carried out using a high resolution local wind field ( ECMWF ) while the wave modeling for the future period was conducted using a downscaled wind field obtained from CGCM3. However, no significant change in annual average wave power in the future was observed compared to the control period. Assessment of temporal variation of the wave power in three stations ( W, M and E ) illustrated that the wave power reduces in years between 1990 to 2000 in the control period and the future wave powers are higher than the wave powers in this 10-yearly period and they are lower than the wave power in the remaining years of the control period. 

The average wave power in the control period is about 0.52 KW/m at station E while it reduces to 0.46, 0.39 and 0.47 KW/m for A1B, A2 and B1 scenarios, respectively in the future. 

predictability as well as the low visual and environmental impact makes the wave energy a valuable renewable energy resource (Iglesias et al., 2009). 

Changes in the wind or wave patterns induced by the climate change can be evaluated based on the field observations or the climate prediction models. 

Due to the lack of future wave data, the model was first calibrated and verified in the control period using three downscaled wind fields for three scenarios. 

a high level of carbon dioxide produced by excessive use of fossil fuels is the main reason of global warming (Houghton et al., 2001). 

Breslow and Sailor (2002) pointed out that the climate change causes a reduction of 10 to 15% in wind speed and therefore, 30 to 40% for wind power. 

At station M, the average wave power in the control period is 2.13 KW/m and the future average wave power is 1.52, 1.37 and 1.66 KW/m considering A1B, A2 and B1 scenarios, respectively, that means a reduction of about 29%, 36% and 22% in the future average wave power for A1B, A2 and B1 scenarios, respectively. 

It is an important area due to the existence of rich resources of oil and gas, as well as transportations and fisheries (figure 1). 

According to figure 11, the highest annual wave energy in Assalouyeh is available for the significant wave heights of 1.5 to 2 m and peak periods of 5.5 to 6 s for the control period and the resulting wave power for this range is about 7 KW/m. 

It is about 0.34, 0.33 and 0.35 MWh/m for A1B, A2 and B1 scenarios showing a reduction when compared to the energy in the control period (1.15 MWh/m). 

Wave power characteristics of the stations W, M and E in the control period have been investigated before by Kamranzad et al. (2013a) and it was pointed out that there was a slight reduction in annual average wind speed for the years 1990 to 2000, causing a reduction in total average of the wave powers. 

The reduction in the future average wave power in station E are about 12%, 25% and 10% according to A1B, A2 and B1 scenarios, receptively. 

Reeve et al. (2011) used both global and regional climate models for assessing the impact of climate change on wave energy in UK and showed that the wave energy will increase by about 2 to 3% according to A1B scenario and will decrease by about 1 to 3% according to B1 scenario.