Abstract
The Taiwan Strait, to the west of Taiwan, is rich in wind energy resources and has the greatest offshore wind power potential in the world. Therefore, Taiwan has been actively expanding its offshore wind power industry in this area in recent years and expects to achieve the total installed capacity to 15.6 GW by 2035. Due to the large vessel traffic flow in Western Taiwan’s sea area, wind farms will inevitably reduce the navigable space and shadow some existing marine aids to navigation, thus worsening navigation safety. An approach using a fault tree analysis was used to carry out analysis of collision risk between ship-to-ship and ship-to-turbine. The vessel density distribution and traffic flow within the open sea of offshore wind farms would further increase to curtail the available navigable space. The shadowing effects along navigation channels would thereafter be worsened to raise the probability of collision risks in the sea. The results of the fault tree analysis revealed that if the ship is out of control, the time allowed to provide assistance is rather short, leading to the increase of collision risk extent between ships and wind turbines. Moreover, the study also found that unfit functions of the Vessel Traffic Service System and navigation aids and frequently and arbitrarily crossing the navigation channel of fishery vessels are the main causes of ship collisions. In order to effectively improve the navigation safety, competitive strategies for navigation safety are investigated and evaluated in this study. These strategies include making a complete plan for utilizing the whole sea, integrating the offshore vessel traffic service and management system, providing remote pilotage services, and building salvage vessels. The above promising strategies would enhance the navigation safety within the open sea. Collision risk might occur once marine accident occurs and no salvage vessel is available.
1. Introduction
Wind energy is an important carbon-free renewable energy and one of the fastest-growing and cleanest sources of electricity in the world today [1]. The concept of offshore wind power was proposed in the 1930s. The world’s first offshore wind farm was built in Vindeby, Denmark, which started the development of offshore wind farms globally [2]. In the 21st century, the installed capacity of offshore wind farms has increased from 1% of the global installed wind power capacity in 2009 to more than 10% in 2019 [3]. The total global capacity of operating offshore wind farms exceeded 32 GW in 2020. Under the threat of COVID-19, the global installed capacity of offshore wind farms still exceeded 5.2 GW in 2020 [4]. In terms of construction technology, floating wind turbines have been built in water 175 m deep away from the coast of Peterhead in Scotland, breaking the 60-m water depth limit for wind turbines of foundation pile type [5]. However, as deep sea is usually far away from shores, it is more expensive to build such floating wind turbines.
Taiwan, located in the subtropical region of East Asia, is 393 km long and 145 km wide, with southwest winds prevailing in the summer (from May to October) and northeast winds in the winter (from November to the next April) [6,7]. Taiwan lies in north–south direction, separated from the Chinese mainland to the west by the Taiwan Strait, which is about 100 nautical miles wide and faces the Western Pacific Ocean in the east. Taiwan’s western coast is rich in wind energy resources, with stable and high wind speeds. Based on Taiwan’s average annual wind power density at 80 m above sea level, there is at least 200-W/m2 wind energy potential (Figure 1) [8]. Meanwhile, the wind energy potential of Taiwan’s eastern sea is relatively low [9]. Since the water is hundreds of meters deep in the eastern sea, Taiwan’s offshore wind farm development is currently concentrated in the western sea.
Figure 1.
Distribution of the wind power density (W/m2) in the ocean region close to Taiwan’s western coasts. Source: plotted by the authors based on the data in Reference [8].
According to the observation of the world’s average wind speed in 23 years, 16 of the world’s top 20 wind farms are located in the Taiwan Strait [10], indicating that the western sea of Taiwan’s own abundant wind energy resources has great potential for building offshore wind farms. However, it is noteworthy that not all of Taiwan’s western sea is adequate for such development. According to Figure 1, the sea area is located from the northernmost point of Taiwan (Fuguijiao) to the southernmost point (Chikhu), with a water depth of less than 50 m and the average wind power density being more than 600 W/m2 or even more than 1500 W/m2, making the water area the best sea for wind energy development. Although some parts of the northern sea are 60–80 m deep, the difficulty of establishing wind farms can be overcome technically. Figure 1 shows that the shallow water area with a water depth of 5–20 m has a potential wind energy of 9 GW, the water area with a depth of 20–50 m has a potential wind energy of 48 GW, and the deep water area with a depth of more than 50 m has a potential wind energy of 90 GW [11].
Moreover, 76 out of the top 100 offshore wind farms based on the ranking of global offshore wind speeds among total 2122 wind farms planned for developing in 53 countries are located in Taiwan [12]. In particular, the sea area from Fuguijao in the north to Mailiao in the middle of Taiwan attracts international large wind farm developers, including the Green Investment Group Limited (Scotland, UK), JERA Energy Limited (Chuo-ku, Tokyo, Japan), Northland Power Inc. (Toronto, ON, Canada), Ørsted A/S (Fredericia, Denmark), and WPD AG (Bremen, Germany), to actively invest and engage in planning and establishing offshore wind energy facility in recent years. However, the external wind force affects vessel navigation, and the ocean wave height is roughly proportional to the wind speed [13]. In addition, the effects of wind, waves, and ocean currents on wind turbines cannot be ignored [14,15]. A catastrophically structural failure of vessels or wind turbines might result from microstructure damage caused by a collision or wave attack onto those structures [16]. Odijie et al. [17] found that high stress distribution around the joint area of the inner column of a vessel hull under extreme weather conditions might be developed, leading to damage of the vessel structure. A real-time monitoring system can be developed by incorporating data such as wind, current profiles, or vessel motion to prevent unexpected accidents [18]. According to the research statistics, seven to eight typhoons hit the sea of Taiwan every year on average [19]. Such excessively strong winds might not only make offshore wind turbines fail to run but also cause damages [8,20]. In August 2015, Typhoon Soudelor damaged six onshore wind turbines in Taiwan [21]. If offshore wind turbines are damaged, it will even threaten navigation safety.
A total of 98% of Taiwan’s primary energy source depends on imported energy [22]. With its west coast’s great wind energy potential, Taiwan has actively promoted the wind energy development policy to meet the challenges of the gradual exhaustion of fossil fuels and the intensification of the greenhouse effect in recent years. The total installed capacity of offshore wind farms in Taiwan is estimated to reach 5.6 GW by 2025 and 15.6 GW by 2035. If the current 8-MW mainstream wind turbine is used, there will be about 1950 wind turbines in the western sea of Taiwan by 2035. All the offshore wind turbines will be built in the territorial sea and internal sea from Mailiao in the middle of Taiwan to Fuguijiao in the north (Figure 2). Such a large number of offshore wind turbines must have great effects on navigation safety in this area.
Figure 2.
Schemed ocean regions marked in green for establishing offshore wind farm in the Taiwan Strait by 2035. Source: plotted by the authors.
Previously, most studies on Taiwan’s offshore wind farms mainly focused on wind energy potential and wind turbine technology, while only a few studies tackled the effects of offshore wind farms on navigation safety and their coping strategies [21]. Chang et al. [23] evaluated the effects of offshore wind farms on the vessel traffic in the Penghu channel using the Automatic Identification System (AIS) data and suggested establishing navigation channels in Taiwan’s offshore wind farms. However, their study only investigated the possibility of collision between vessels and wind turbines. In addition, Yu et al. [24] proposed that the vessel traffic flow and the distance between offshore wind turbines are the most important factors affecting collision risks between vessels and offshore wind turbines. Further, Yu et al. [25] collected AIS data before and after installing offshore wind farms to evaluate the effects of offshore wind farms on marine traffic flow. However, there has been no study on the overall strategy assessment of navigation safety in offshore wind farms [21]. Hence, the effects of offshore wind farms on navigation safety in the planned sea are investigated, and effective strategies to enhance navigation safety within offshore wind farms in western sea of Taiwan are developed in this study.
The outline of this study is stated as follows:
- Introduction:Briefly describe Taiwan’s offshore wind farm policy and environmental profile.
- Establishment of traffic flow management in navigation channel within offshore wind farms:Conduct structured interviews with five captains who have sailed more than 50 voyages in the western sea of Taiwan.
- Risk analysis in a navigation channel within offshore wind farms:Qualitative analysis of the navigation risk using the fault tree analysis method and Boolean algebra.
- Influencing factors for navigation safety within offshore wind farms:Discuss the influencing factors for navigation safety.
- Developing promising strategies to improve navigation safety in wind farms:Promising strategies for promoting navigation safety are developed.
- Conclusions:Summarize the main results derived from this study.
6. Conclusions
The navigation safety in offshore wind farms is related to the successful development of offshore wind farms. When the region of traditional navigation channel is built with infrastructure of offshore wind turbines, marine vessels can only sail in a navigation channel surrounded with plenty of wind turbines on both sides. The establishment of offshore wind farms has negative effects on navigation safety based on the present analysis. The offshore wind farms will cause a reduction of the navigation space and increase the vessel flow and density distribution in the channel, leading to increasing collision risks between vessels. Especially when a ship is out of control, the possibility of its colliding with a wind turbine is rather high. Fishing vessels frequently and arbitrarily cross the navigation channel containing the offshore wind farms, which will also increase the extent of collision risks with other ships. Effective strategies for improving the navigation safety in the limited sea area of the offshore wind farms were proposed and evaluated in this study. A comprehensive plan for using the whole ocean space to simultaneously pursue the efficient operation of offshore wind farms and enhancement of navigation safety was suggested. In addition, an integrating vessel traffic system of the offshore wind farms and neighboring commercial and industrial ports along the coast of the Taiwan Strait could be established. A remote pilotage service system was suggested to be provided by the authorities of the offshore wind farms in order to function effectively. The systems and marks of marine aids to navigation built at different periods in the whole sea of the offshore wind farms should be consistent. Moreover, salvage vessels shall be built for marine accidents and permanently anchored in nearby ports to effectively reduce the risk of collisions within sea region of the offshore wind farms.
Author Contributions
Conceptualization, C.-Y.L.; funding acquisition, C.-Y.L.; draft preparation, Y.-M.T.; formal analysis, Y.-M.T.; corresponding, C.-Y.L.; investigation, Y.-M.T.; methodology, C.-Y.L.; supervision, C.-Y.L.; validation, Y.-M.T.; and writing and editing, C.-Y.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Ministry of Science and Technology of Taiwan, ROC, under contract No. MOST 109-2221-E-019-024.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are contained within this article.
Conflicts of Interest
The authors declare no conflict of interest.
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