Bahareh Kamranzad

Kyoto University | Kyodai · The Hakubi Center for Advanced Research

In this study, based on 55 years’ worth of high-resolution simulated wave data using numerical modeling off the southern coasts of China, intra-annual and decadal variations of the wave climate and wave energy were evaluated. The results show that it is important to consider a sufficiently long time period for wave energy assessment to take into ac...

In this study, five decades of simulated wave climate in Northeast Asia were used to investigate the intra-annual variation and long-term change of wave energy potential. The results show that in general, the nearshore areas of the eastern Pacific side of Japan have the highest annual mean wave power while Japan and Taiwan function as natural barri...

Wave energy plays a vital role in providing renewable energy in coastal areas. Several factors need to be considered for optimum site selection and type of the wave energy converter. Some factors such as impact of climate variation, exploitable storage of wave energy and its trend, design wave condition (as a representative of construction cost), a...

This study explores the wave energy assessment in the northern Persian Gulf taking into account the temporal and spatial distributions of wave power. A long-term evaluation of the wave energy resources was performed based on the wave characteristics generated using nested high spatial resolution models in the northern Persian Gulf. The spatial dist...

In the lack of wave measuring buoys operating over extended periods, the use of wave hindcast data or satellite observations is indispensable for estimating global extreme wave heights. However, the results may depend on the analysed wind wave sources and the length of the analysed period. The sensitivity of the estimated extreme significant wave h...

Dear Colleagues, Accurate wave energy resource assessments are fundamental to support the development of the wave energy sector, and thus provide valuable information to secure the key steps of a wave energy project and guarantee capital investment and economic return. Numerous resource assessments are therefore conducted to optimize the location,...

The sustainability of wave energy linked to the intra‑ and inter‑annual variability in wave climate is crucial in wave resource assessment. In this study, we quantify the dependency of stability of wave energy flux (power) on long‑term variability of wind and wave climate to detect a relationship between them. We used six decades of re‑analysis win...

Assessment of climate change impacts on wind characteristics is crucial for the design, operation, and maintenance of coastal and offshore infrastructures. In the present study, the Model Output Statistics (MOS) method was used to downscale a Coupled Model Intercomparison Project Phase 5 (CMIP5) with General Circulation Model (GCM) results for a ca...

This study assesses wave energy resources in two remote, yet populated islands in the Indian Ocean, i.e., Reunion and Mauritius. The suitable areas for future consideration for development were specified using the criteria defined for the sustainability of wave energy, including high energy potential and low intra-annual variation and long-term cha...

There is an increasing interest in co-exploiting marine energies of various types, as it can reduce grid connection and maintenance costs and enhance electricity production. A threefold objective of this work is as follows: i) investigate offshore wind and wave energy potential, complementarity & synergy, and correlation between the two resources i...

In this study, based on the Japanese 55-year Reanalysis (JRA-55) dataset, the spatio-temporal variations of wind resources were analyzed in the South China Sea. An approach to determine suitable locations of offshore wind energy extraction was proposed and applied to the south and southeast coasts of China. The approach took into account various cr...

Global distribution of the wave climate and energy using a re-analysis dataset provides the opportunity to study spatio-temporal variation of different parameters, and offers inputs for future sustainability plans. The study assesses two global scale products ERA5 and ERA-Interim, evaluating differentiation in wave climate and energy parameters. Re...

In this study, 55 years of simulated waves using SWAN in the South China Sea were utilized to investigate the long-term change of the resources as a new measure for locating the suitable areas for wave energy extraction. The results showed that there are mainly three regions with higher potential in their nearshore areas: Luzon Strait, southern coa...

This study investigates the impacts of global climate change on the future wave power potential, taking Sri Lanka as a case study from the northern Indian Ocean. The geographical location of Sri Lanka, which receives long-distance swell waves generated in the Southern Indian Ocean, favors wave energy-harvesting. Waves projected by a numerical wave...

This study provides an assessment of possible changes in the general circulation and residence time in the Persian Gulf under potential future sea-level rise and changes in the wind field due to the climate change. To determine the climate-change-induced impacts, Mike 3 Flow Model FM was used to simulate hydrodynamic and transport processes in the...

Climate change impact assessment is vital in order to investigate not only the change of average wind and wave climate, but also the extreme events. Such kind of events can affect the activities in nearshore areas such as marine operation, as well as on design of coastal and marine structures. In this research, long term assessment of wind and wave...

The paper presents a detailed analysis of the spatio-temporal variability of wave power resource around Sri Lanka, using computationally simulated 25 years of wave data that represents the prevailing ocean climate in the region. The computational wave model was validated against a measured wave dataset collected over a 44-month period at 70 m water...

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 lo...

The aim of this study is to develop a Weibull-based distributed downscaling technique for wind field as forcing for the wave models to investigate the wave climate under future scenarios. For this purpose, the statistical downscaling approach modifies Weibull distribution parameters of the global circulation model wind speeds based on the correspon...

Understanding climate-driven impacts on the multivariate global wind-wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global wave climate projections. Here, ass...

In this study, the impact of climate change on wind and wave characteristics has been assessed using super-high-resolution MRI-AGCM3.2S wind data and numerical modeling over the Indian Ocean. Wave characteristics were generated in two 25-year periods covering historical and future projections (RCP8.5), and the assessment indicated that, generally,...

This study proposes a simple approach based on Weibull distribution parameters for downscaling climatic wind speed and direction. In this method, the Weibull parameters of a Global Climate Model (GCM) are modified using Weibull parameters of the reference data (ECMWF). To correct the wind direction, the downscaling technique was applied to the east...

High quality wave data in data-scarce regions are required in order to provide a reliable source for wave climate assessment. In this study, numerical modeling was utilized in order to generate the wave characteristics in the Indian Ocean (IO) region using super-high-resolution wind field MRI-AGCM3.2S as forcing. The model was evaluated in comparis...

The National Oceanic and Atmospheric Administration (NOAA) presently holds more than 30,000 months of data from moored buoys operated by the National Data Buoy Center (NDBC). These data span 40 years and much of the data includes wave measurements. This dataset could provide a rich source of wave data for detecting change, identifying trends, and u...

In order to estimate the wave climate in a specific region for different purposes such as climate change impact assessment, wave energy assessment, etc., it is important to consider the long-term variations in the range of 10-100 years. Since a specified amount of error in wind modeling (as forcing for numerical wave model) results in a greater amo...

Assessment of climate change impacts on the wind field is a primary concern for environmental policy analysts all over the world. The aim of this study was to assess the Coupled Model Inter-comparison Project (CMIP) phase 5 results in wind speed, and to investigate the wind speed projections in the Persian Gulf at the end of 21 st century. Two mode...

In this paper, uncertainties in determining the offshore wind and wave energies were considered to estimate the wind and wave energy potentials in the southern Caspian Sea. For this purpose, 11 years of ECMWF data in 210 points were collected in the study area for the analysis. First, a SWAN model for wave modeling was performed and then, the wave...

This study aims to assess the wave energy at five coastal stations in the Gulf of Oman using the time series of locally generated wind waves obtained by numerical modeling for 11 years. For this purpose, the spatial, seasonal, monthly, directional, inter-annual of wave energy and power were investigated. The spatial distribution shows that the wave...

Since ocean waves are mainly wind induced, carrying out coastal engineering projects and investigating environmental issues call for determination of wind-generated wave characteristics, especially in nearshore areas. In this study, a nested grid SWAN model and a hybrid approach combining artificial neural network (ANN) and coarse grid SWAN modelin...

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 chang...

Climate change caused the changes in earth surface temperature, precipitation, sea surface level, wind speeds, wave heights, coastlines, etc. Estimation of the effect of climate change is of great importance in long-term studies of such parameters. In this study, the effect of climate change on average wind speed near Chabahar, Gulf of Oman is asse...

In Persian

Wind waves are one of the important, fundamental and interesting subjects in port and coastal engineering. Thus, within years, different methods such as experimental methods, numerical modeling and soft computing methods have been employed to estimate the wave parameters. In this study, waves height in Anzali port is predicted using soft computing...

Providing energy without unfavourable impact on the environment is an important issue that is considered by societies. This paper focuses on forecasting the wave energy over horizons of 1–12 h, in the southern part of the Caspian Sea. For this purpose, an artificial neural network was used to obtain the wave energy flux using two different methods....

Since wave energy has the highest marine energy density in the coastal areas, assessment of its potential is of great importance. Furthermore, long term variation of wave power must be studied to ensure the availability of stable wave energy. In this paper, wave energy potential is assessed along the southern coasts of Iran, the Persian Gulf. For t...

Wave characteristics are necessary for many coastal operations and marine structures design. Different methods such as empirical methods, numerical models and soft computing have been developed for this purpose. In this study, one of the well-known numerical models, SWAN model, has been used for the prediction of wave parameters in Anzali, Caspian...

Hindcasting of long term wave characteristics is necessary for designing coastal and marine structures as well as other marine activities. For this purpose, numerical modeling is used for simulating the wave regime. Numerical wave modeling requires an accurate wind field with high temporal and spatial resolutions in a long period. In this paper, EC...

Increasing of the greenhouse gases emission causes the climate changes. Therefore, usage of the marine renewable energy resources such as wind and wave energies has been increased during the last decades. Climate variability can change the wind and consequently wave patterns and the available energy amounts. Therefore, assessment of the potential e...