A Review Concerning the Offshore Wind and Wave Energy Potential in the Black Sea
Abstract
1. Introduction
2. The Black Sea
3. Offshore Wind Energy
3.1. Current Wind Energy Potential in the Black Sea
3.2. Offshore Wind Turbine
OWT in the Black Sea
4. Wave Power
4.1. Current Wave Power Potential in the Black Sea
4.2. Wave Energy Converters
4.2.1. Wave Energy Converters in the Black Sea
4.2.2. Parameters Analyzed in the Evaluation of WEC Performance
- Electric power output represents the energy extracted from waves and converted into electricity by the WEC. The reviewed studies estimate the generated power using the converter’s power matrix (performance curve based on significant wave height and period) applied to the wave climate of each studied location [120]. For example, the average power output of three WECs (AquaBuOY, Pelamis, and Wave Dragon) is calculated in three different coastal environments using bivariate Hs–Te distributions derived from simulations with the SWAN model. While in high-energy areas (e.g., the Northeast Atlantic, Western Europe), waves deliver average powers of ~40–60 kW/m, allowing large WECs (>2 MW) to generate hundreds of kW on average [121], in low-energy seas like the Black Sea (~2–5 kW/m [110]), the average output of a WEC drops to tens of kW or less. A study shows a gradual decrease in resource intensity along the Turkish Black Sea coast from ~3 kW/m to even lower values, reflecting a reduction in the capturable power by WECs [131].
- Capacity factor (CF) is a standardized energy performance indicator, expressing the percentage of time (or number of hours annually) a WEC would need to operate at full capacity to produce the actual energy obtained. While CF values can be relatively high in oceanic regions, they drop significantly in low-energy seas [120]. For example, Oceantec reached 11% in the Black Sea [121], compared to values over 40% in areas of the UK or North America [122], while Wave Dragon achieved a CF of 28% in the Black Sea [121].
- Capture width (CW) is an important parameter for evaluating the performance of a WEC as it indicates how well a device can extract energy from waves. It serves as a basis for comparing the performance of different WEC designs. Wave Dragon can reach up to 74 m, even in low-energy areas, while Oceantec and Pelamis show CW values of up to 11 m in the Black Sea, which is remarkable for their size [121]. In other regions, these same converters exhibit different values: Wave Dragon reaches up to 111 m in Asia, while for Pelamis and Oceantec vary between 6 and 16 m, being highly efficient in moderate wave conditions. AquaBuoy, analyzed in another study, shows a CW of 1.5 m [120].
- Adaptability of WECs to local conditions is crucial to their performance because existing technologies, specifically designed for ocean environments, are not effective in marine environments characterized by low energy, such as the Black Sea. A study shows, through parametric optimization in the Black Sea, that tailoring the design to the local wave spectrum can greatly enhance a WEC’s efficiency [128].
- Installation and maintenance costs are among the main barriers to the commercial adoption of WECs, as both capital expenditures (CAPEX) and operational expenditures (OPEX) are high compared to other renewable energy technologies. The levelized cost of energy (LCOE) of wave energy is currently estimated at 2–3 times the cost of wind or solar energy [134], although these are anticipated to decrease as the technology develops. Studies [129,135] identify that cost-cutting through innovation, modularization, and the integration of other infrastructure is required to keep WECs competitive. A comprehensive performance analysis of the systems must include both technical and economic factors to demonstrate the true cost-effectiveness of the systems.
- Environmental impact. Due to its reduced environmental footprint and lower carbon footprint on operation compared to other means of power generation, such as hydropower stations or offshore wind farms, wave energy conversion is considered a clean technology [135]. Although the deployment of WEC has short-term effects on ocean ecosystems, during the construction and installation phases, it has a front-end carbon cost [136]. Such systems are thought to have a lesser likelihood of collision with marine animals compared to other technologies, and they can also develop into artificial reefs that enhance biodiversity in the long run [135]. WEC zones might even aid in the recovery of ecosystems by limiting human activity, while underwater noise and visual effects are controllable and detectable.
- Grid integration and operational reliability are essential aspects in evaluating the real-world performance of WECs, as they influence the continuous and high-quality delivery of energy to the grid. This includes the importance of optimal control systems for energy converters [137], the calculation of failure rates (hazard rate), and the availability of the overall energy system that includes WECs [138]. According to [129], in calmer seas such as the Black Sea, WECs can operate more stably, with a lower risk of major damage.
5. Wind–Wave Hybrid Solutions
6. Risks and Environmental Impacts Associated with Renewable Energy Extraction in the Black Sea
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
AI | Artificial Intelligence |
ALADIN | Aire Limitée Adaptation dynamique Développement InterNational |
ANM | The National Meteorological Administration of Romania |
AVISO | French Active Archive Data Center for multi-satellite altimeter missions |
CAPEX | CAPital EXpenditure |
CFSR | Climate Forecast System Reanalysis |
CMIP | Coupled Model Intercomparison Project |
CNRM | Centre National de Recherches Météorologiques, France |
CoE | Cost of Energy |
CORDEX | COordinated Regional climate Downscaling EXperiment |
DHI | Danish Hydraulic Institute |
EU | European Union |
EC-EARTH | Earth system model developed by a European consortium |
ECMWF | European Centre for Medium-range Weather Forecast |
ERA5 | ECMWF RE-analysis, fifth-generation |
ERA-Interim | ECMWF RE-analysis Project |
EURO-CORDEX | European branch of the international CORDEX initiative |
FOWT | Floating Offshore Wind Turbine |
FPV | Floating Photovoltaic |
FPVs | Floating Photovoltaic Systems |
GFS | Global Forecast System |
GHG | Greenhouse Gas |
GWEC | Global Wind Energy Council |
IRENA | International Renewable Energy Agency |
LCOE | Levelized Cost of Energy |
MIKE 21 SW | MIKE 21 Spectral Waves |
MM5 | Fifth-Generation Mesoscale Meteorological |
NCEP | US National Centers for Environmental Prediction |
NREL | National Renewable Energy Laboratory |
OPEX | OPerational EXpenditures |
OWT | Offshore Wind Turbine |
RCA4 | Rossby Centre regional atmospheric model |
RCM | Regional Climate Model |
RCP | Representative Concentration Pathway |
REMO | Regional Climate Model from the Max Planck Institute, Hamburg, Germany |
SMHI | Swedish Meteorological and Hydrological Institute |
SSP | Shared Socio-Economic Pathway |
SST | Sea Surface Temperature |
SWAN | Simulating WAves Nearshore |
VOS | Voluntary Observing Ship |
WAM | Wave model, third generation wave model |
WEC | Wave Energy Converters |
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Study | Type of Data Used | Analyzed Period | Analysis’s Performed Height (m) | Analyzed Area | Study’s Purpose |
---|---|---|---|---|---|
[65] | ERA-Interim (ECMWF), NCEP satellite (AVISO) in situ | 14 years: 1999–2012 | 10 m | Black Sea | The main objective of the work is to provide a more comprehensive picture of the wind patterns in the Black Sea Basin. |
[66] | ERA-Interim (ECMWF) In situ | 7 years: 2003–2009 11 years: 1999–2009 | 80 m | North-western Black Sea | The objective of the work is to evaluate the opportunity of wind farm implementation in the northwestern side of the Black Sea. |
[67] | NCEP-CFSR In situ satellite (AVISO) | 10 years: 1999–2008 5 years: 2010–2014 | 10 m | Black Sea | The work presents a comprehensive picture of the wind energy potential in the coastal environment of the Black and the Caspian Seas. |
[68] | Reanalysis (CORDEX/RCA4, CMIP5) | Historical: 1979–2004 Future 1: 2021–2050 Future 2: 2061–2090 | 120 m | Europe focus on the Black Sea | Assessment of climate change impact on wind energy resources in Europe, with a special focus on offshore potential in the Black Sea region. |
[69] | ERA-Interim (ECMWF) satellite (AVISO) in situ | 20 years: 1998–2017 8 years: September 2009–September 2017 | 80 m | Western Black Sea coastal area (Romania, Bulgaria) | The main objective of this work was to evaluate the nearshore wind resources in the Black Sea area. |
[70] | ERA-Interim (ECMWF), CORDEX (RCM), RCA4 (RCP4.5 and RCP8.5) | 30 years: 1981–2010 Future: 2021–2050 | 100 m | Black Sea basin | To quantify the recent past and explore the near future wind power potential in the Black Sea Basin, evaluating possible changes. |
[71] | ERA-Interim (ECMWF) | 20 years: 1998–2017 | 80 m | Romanian coastal zone | To identify the most suitable sites where a wind project can be developed in the Romanian coastal areas. |
[72] | EURO-CORDEX (RCA4: RCP4.5, and RCP8.5) EC-EARTH, CMIP5 | Historical: 1976–2005 Future: 2021–2050 | 80 m | Black Sea coastal zone | To evaluate the wind energy resources in the coastal environment of the Black Sea. |
[73] | ERA5 (ECMWF) In situ | 42 years: 1979–2020 3 years: 2006–2009 | 100 m | Romanian coastal zone (16 sites) | To provide a comprehensive picture of the wind energy potential along the Romanian coastal environment. |
[74] | EURO-CORDEX, RCP4.5 (SMHI-RCA4) | Near future: 2021–2050 Distant future: 2071–2100 | 90 m | Western Black Sea coast (six reference sites) | To evaluate the energy potential of six sites near the Romanian Black Sea shore. |
[75] | GeoEcoMar (autonomous marine stations) in situ | 6 years: May 2015–Dec 2020 | 2.5 m | North-western Black Sea coast | To analyze the dynamics of wind parameters along the western coast of the Black Sea. |
[76] | ANM weather stations in situ | 13 years: 2009–2021 | 10 m | Romanian coastline (seven weather stations) | To outline a general overview of the wind energy potential along the Romanian coast of the Black Sea. |
[77] | ERA5 (ECMWF), RCA4 (RCM) climate modeling | Recent past: 1980–2019 Near future: 2021–2060 Distant future: 2061–2100 | 10 m | The entire Black Sea basin and the Sea of Azov | To analyze the most credible scenarios concerning the expected dynamics of the wind climate in the 21st century in the Black Sea Basin. |
Turbine | Rated Power (MW) | Estimated Capacity Factor (%) | Estimated Annual Production (MWh) | Study |
---|---|---|---|---|
Vestas V90-3.0 MW | 3.0 | ~25% | ~6500 | [69] |
Areva M5000-116 (5 MW) | 5.0 | ~35% | ~20,000 | |
Senvion 6.2 M126 | 6.15 | ~34% | ~22,000 | |
Vestas V164-8.8 MW | 8.8 | ~33% | ~25,000 | |
Vestas V164-9.5 MW | 9.5 | ~34% | ~25,000 | |
GE Energy 2.5 xl | 2.5 | ~25% | ~2000 | [71] |
Siemens SWT-2.3-93 | 2.3 | ~29% | ~14,000 | |
Samsung 7.0-171 | 7.0 | ~50% | ~30,000 | [73] |
SeaTitan 10 MW | 10.0 | ~47% | ~41,000 | |
MHI Vestas 164 | 9.5 | ~33% | ~28,000 | [74] |
Siemens Gamesa-167-8.0 MW | 8.0 | ~43% | ~30,000 | |
GE Haliade 150 | 6.0 | ~38% | ~25,000 | |
Mingyang MySE-155 | 7.0 | ~35% | ~22,000 | |
GE 2.5 | 2.5 | ~30% | ~6500 | [88] |
Siemens SWT 3.6 | 3.6 | ~32% | ~10,000 | |
Vestas V164 | 8.0 | ~43% | ~30,000 | |
Siemens SWT 6.0 | 6.0 | ~34% | ~19,000 | [92] |
Study | Wave | Wind | Analyzed Period | Climate Scenarios | Area |
---|---|---|---|---|---|
[98] | SWAN | NCEP-CFSR | 1999–2013 | - | Black Sea and Sea of Azov |
[99] | SWAN | RCA4 (SMHI) ALADIN6 (CNRM -RCSM6) | 1976–2005 1979–2008 2041–2070 | RCP 4.5, RCP 8.5 SSP 5–8.5 | Black Sea |
[100] | MIKE 21 SW | ECMWF | 1996–2009 | - | Black Sea |
[101] | SWAN | RCA4 (EURO-CORDEX) | 1976–2005 2021–2050 | RCP 4.5, RCP 8.5 | Black Sea |
[102] | SWAN | RCA4 (EURO-CORDEX) | 1976–2005 2021–2050 2071–2100 | RCP 4.5, RCP 8.5 | Black Sea |
[103] | SWAN | ERA5, NCEP-CFSR, RCA4 | Long term | RCP 4.5, RCP 8.5 | Romanian Black Sea coast |
[104] | Visual observations | - | 1960–2011 | - | Black Sea |
[105] | WAM Cycle 4 | REMO | 1948–2006 | - | Western and southwestern Black Sea |
[106] | SWAN | ERA-Interim | 1995–2009 | - | Black Sea |
[107] | SWAN | CFSR | 1979–2009 | - | Black Sea and Sea of Azov |
[108] | SWAN | CFSR | 1999–2013 | - | Western Black Sea |
[109] | Visual observations | - | 2013–2018 | - | Romanian Black Sea coast |
[110] | SWAN v40.72 | ECMWF–ERA Interim | 1995–2009 | - | Southeast coast of the Black Sea |
Instalation Area | Converter Name | Developer/ Country | Description |
---|---|---|---|
S H O R E L I N E | EUROPEAN PILOT PLANT | Instituto Superior Técnico, Lisbon, Portugal | A 400 kW system that was initially designed as a large-scale testing facility but is also used to continuously supply a significant portion of the energy demand of Pico Island. |
LIMPET OWC | Wavegen Ltd. and Queen’s University of Belfast, Scotland | A 75 kW prototype was built in 1991, followed by a 500 kW successor aimed at addressing the commercial challenges of this type of device. | |
ENERGETECH OWC | Energetech, Australia | A converter consisting of a variable-pitch turbine and a parabolic wall designed to concentrate wave energy. There is a power purchase agreement in place for a 500 kW facility that has a capacity of 1 MW for its MK2 prototype and a planned 2.5 MW capacity for its MK3 prototype. The original MK1 prototype at Port Kembla had a capacity of 450 kW. | |
PENDULOR | Japan | This device features a flap mounted on a rectangular structure open at one end. The flap’s movement, driven by wave action, powers a hydraulic pump and a generator. | |
TAPCHAN | Toftesfallen, Norway | The system operates similarly to a hydroelectric power plant, with 3 ÷ 5 m high walls and a narrowing channel that directs water into a reservoir at the edge of a cliff. Waves increase in height and spill into the reservoir, where the stored water is used to drive a turbine. This empowers a 350 kW generator to supply electricity to the Norwegian grid. | |
NEAR SHORE | Osprey | Wavegen, U.K. | This system includes a 1500 kW turbine and has been upgraded to have a total capacity of 2 MW. Research is being conducted to reduce installation costs and commercialize it. |
O F F S H O R E | Archimedes Wave Swing | Teamwork Technology BV, Netherlands | An underwater device of 2000 kW that uses hydrostatic pressure to generate energy through the up-and-down movement of a floating part. |
Floating Wave Power Vessel | Sea Power International, Sweden | An overtopping-type device of 1500 kW with a floating basin supported by ballast tanks, oriented toward the direction of the waves. | |
McCabe Wave Pump | Kilbaha, County Clare, Ireland | A pump-type converter of 1590 kW with three articulated rectangular pontoons, designed to align with the waves to generate energy. | |
OPT WEC | Ocean Power Technology, USA | A buoy-type converter that uses the relative motion between a casing and a float to pump high-pressure oil to a generator and is rated at 20–50 kW. | |
Pelamis | Teamwork Technology BV, Netherlands | A semi-submersible articulated device, rated at 375 kW, composed of cylindrical sections connected by flexible joints, resembling a snake and generating energy through the hydraulic motion of its joints. | |
Point Absorber Wave Energy Converter | Rambøll, Denmark | A converter that uses a rope anchored to the seabed and a float to activate a piston pump is designed to provide a capacity of up to 450 kW. | |
Mighty Whale | Japan Marine Science & Technology Center, Japan | A 120 kW prototype equipped with three in-line OWC systems, operational since 1998 at a distance of 1.5 km from Nansei Town, at a depth of 40 m. The anchoring system is designed to withstand severe storm conditions with a probability of occurring once every 50 years. | |
Salter Duck | S. Salter, U.K. | A device that was designed to provide approximately 20 kW and converts both the kinetic and potential energy of waves into mechanical energy, with a theoretical efficiency of over 90%. | |
SDE Wave Power Device | S.D.E. Ltd., Israel | An offshore floating device of 40 kW that transforms the hydraulic pressure generated by waves into electricity. | |
Wave Dragon | Loewenmark F.R.I. Denmark | An overtopping-type converter of 4000 kW that uses a wave reflector to fill an elevated reservoir and generate electricity using Kaplan turbines. |
WEC Type | [120] | [121] | [122] | [123] |
---|---|---|---|---|
Pelamis (articulated attenuator) | ✓ | ✓ | ✓ | ✓ |
Wave Dragon (overtopping device) | ✓ | ✓ | ✓ | ✓ |
AquaBuoy (point absorber) | ✓ | ✓ | – | ✓ |
Oceantec (modern floating buoy) | ✓ | ✓ | ✓ | ✓ |
Pontoon Power Converter (PPC) | ✓ | ✓ | ✓ | ✓ |
Seabased AB (small point absorber) | ✓ | – | ✓ | ✓ |
Archimedes Wave Swing (AWS) | ✓ | ✓ | – | ✓ |
Langlee (oscillating flap converter) | ✓ | – | – | ✓ |
Ocean Energy Buoy (OE Buoy) | ✓ | ✓ | ✓ | ✓ |
Wavebob (large point absorber) | ✓ | ✓ | ✓ | ✓ |
Wave Star (multi-float system) | – | ✓ | ✓ | ✓ |
Ceto (submerged buoy with pump) | – | ✓ | ✓ | - |
SSG (Seawave slot-cone generator) | – | – | – | ✓ |
Oyster (shallow-water oscillating flap) | – | – | – | ✓ |
Oyster 2 (shallow-water oscillating flap) | – | – | – | ✓ |
Sea Power (new-generation WEC) | – | – | ✓ | – |
HeaveBuoy (Bottom-fixed) | – | – | – | ✓ |
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Silion, A.; Rusu, L. A Review Concerning the Offshore Wind and Wave Energy Potential in the Black Sea. J. Mar. Sci. Eng. 2025, 13, 1643. https://doi.org/10.3390/jmse13091643
Silion A, Rusu L. A Review Concerning the Offshore Wind and Wave Energy Potential in the Black Sea. Journal of Marine Science and Engineering. 2025; 13(9):1643. https://doi.org/10.3390/jmse13091643
Chicago/Turabian StyleSilion, Adriana, and Liliana Rusu. 2025. "A Review Concerning the Offshore Wind and Wave Energy Potential in the Black Sea" Journal of Marine Science and Engineering 13, no. 9: 1643. https://doi.org/10.3390/jmse13091643
APA StyleSilion, A., & Rusu, L. (2025). A Review Concerning the Offshore Wind and Wave Energy Potential in the Black Sea. Journal of Marine Science and Engineering, 13(9), 1643. https://doi.org/10.3390/jmse13091643