Next Article in Journal
Investigating Flow around Submerged I, L and T Head Groynes in Gravel Bed
Previous Article in Journal
Sustainable Removal of Cr(VI) from Wastewater Using Green Composites of Zero-Valent Iron and Natural Clays
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Hierarchical Analysis Method for Evaluating the Risk Factors of Pile Foundation Construction for Offshore Wind Power

1
Powerchina Huadong Engineering Co., Ltd., Powerchina Zhejiang Huadong Engineering Consulting Co., Ltd., Hangzhou 311122, China
2
College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
3
School of Petrochemical Engineering and Environment, Zhejiang Ocean University, No. 1, Haida South Road, Zhoushan 316022, China
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(18), 7906; https://doi.org/10.3390/su16187906
Submission received: 25 July 2024 / Revised: 3 September 2024 / Accepted: 9 September 2024 / Published: 10 September 2024
(This article belongs to the Special Issue Innovative Technologies for Sustainable Offshore Renewable Energy)

Abstract

:
To improve the safety level of pile foundation construction for offshore wind power, in this study, the risk indicators of pile foundation construction were evaluated using the analytic hierarchy process (AHP) and comprehensive evaluation methods. The pile foundation construction operation process for offshore wind power mainly includes four phases: preparation for construction, pile sinking, end of construction, and foundation scour protection construction. Pile foundation construction risk indicators are systematically identified as human factors, material factors, management factors, and environmental factors. The most important indicators for pile foundation construction for offshore wind power were evaluated using AHP and comprehensive evaluation methods, which included five indicators: piling equipment, protective equipment, special skills, safety awareness, and emergency management. The four more important indicators are workplace environment, lifting equipment, fire protection systems, and operations. According to the results of our evaluation of the pile foundation construction safety indicators presented herein, corresponding recommendations are made that consider four aspects—human factors, material factors, management factors, and environmental factors. The construction industry should focus on improving the safety measures related to aspects with greater risk indicators. Pile foundation construction for offshore wind power can be evaluated using the method discussed in this paper, allowing industry stakeholders to prioritize and focus on improving safety measures related to aspects with greater risk indicators.

1. Introduction

The use of traditional fossil fuels emits a large amount of greenhouse gasses, posing significant challenges and contributing to global climate change [1,2,3,4,5,6]. Wind power is a clean and harmless way of utilizing renewable energy, meaning it is of great significance in realizing sustainable energy development and coping with global climate change [7]. In 2023, China’s new onshore and offshore wind power installations provided 69 GW and 6.3 GW of power, respectively, and the world’s new onshore and offshore wind power installations generate about 106 GW and 10.8 GW of power, respectively, with China’s share of new onshore and offshore wind power installations accounting for 65% and 58% of the power generated, respectively. Considering all of China’s onshore and offshore wind power installations, in 2023, they generated 403 GW and 37.8 GW of power, respectively, while the world’s total onshore and offshore wind power installations generated 945 GW and 75 GW of power, respectively, meaning that China’s share of the total wind power generated by onshore and offshore installations was 43% and 50%, respectively [8]. The timeline regarding the development of offshore wind power is relatively short, and the history of the development of new offshore wind power installations in China and the world (excluding China) in the past decade is shown in Figure 1. The number of new offshore wind power installations is increasing annually, and the growth rate of new offshore wind power installations in China has ballooned in recent years [9,10,11]. Figure 1 also forecasts the development of new offshore wind power installations in China and the world (excluding China) over the next ten years. According to the forecast below, the number of new offshore wind power installations will steadily increase year on year [12].
Many scholars have studied the risk assessment aspect of wind power projects. Tan et al. [13] assessed the risk of investment in wind power construction projects from the three aspects of the price risk, the risk of project costs, and the risk of abandonment, and obtained the size of an investment’s economic benefits in four resource areas. Liu et al. [14] proposed a method using a back-propagation neural network to identify the risk in order to evaluate the investment risk of a wind power project and used the numerical simulation method for verification. Zhou et al. [15] proposed a multi-criteria decision-making method, including wind resources, construction conditions, economy, environment, and risk, to evaluate the optimal construction location of offshore wind power and validated it using the Jiangsu offshore wind power project as an example. Zhao et al. [16] evaluated safety risk factors in the design phase of wind power construction based on structural equations and mutation theory and constructed and validated a risk assessment model for the design phase of wind power construction. Chou et al. [17] identified and evaluated the risk factors during the construction and operation of offshore wind power in Taiwan based on A Guide to the Project Management Body of Knowledge and proposed targeted safety measures. Li et al. [18] established a quantitative model of wind power operation and management risk in China from the aspects of the sales price of wind power and wind power generation and validated the model with a wind farm in Inner Mongolia as an example. Yamada et al. [19] proposed a wind power operation efficiency model, including indicators such as spot electricity price, region-wide wind power production index, and local wind conditions, and conducted a validation analysis with data from Japan. Qian et al. [20] constructed an optimal coordination model of multi-source power systems to withstand the impacts of typhoons and validated it with the example of multi-source power systems in typhoon coastal areas, which proved that the model can reduce the total cost of power system coordination. Cheng et al. [21] developed an investment risk assessment model for the transportation, construction, and installation of underwater foundations for offshore wind power and validated the model with the Tai-power Offshore Wind Power Project (second phase) as an example. While extensive research has been conducted on the risk assessment of wind power projects, further studies are needed to deepen the understanding of certain areas.
The wind energy sector is gradually shifting towards a preference for offshore wind power generation [22], yet offshore wind power operations include greater challenges [23,24,25,26,27,28,29]. Pile foundation construction for offshore wind turbines is the basic guarantee for the stability of pile foundations, and many scholars have studied the process for constructing pile foundations [30,31,32,33]. Zhong et al. [34] used numerical simulation to study the fatigue damage of pile foundation construction for offshore wind power and found that the fatigue damage of the pile foundation over 27 years could meet the requirements. Won et al. [35] proposed a new type of pile foundation construction process for offshore wind power and found that the pre-pile template is mainly affected by three factors: wave conditions, winch speed, and ship type. The noise generated during the construction of offshore wind pile foundations is a serious impediment to construction, and Tsouvalas [36] provided a literature review and summary of noise calculation models, including noise mitigation techniques and modeling. Lavanya et al. [37] studied the types of pile foundations required for onshore and offshore wind power, obtained the applicable types of pile foundations for different sea depths, and analyzed the treatment measures for soft foundations. The wind energy sector is increasingly favoring offshore wind power generation, which presents unique challenges, particularly in the construction of pile foundations which are essential for stability.
The analysis highlights that the rapid advancement of wind power technology also introduces significant construction risks. This paper examines the construction of offshore wind power pile foundations as a case study, identifying the associated risks during the construction process. By employing the analytic hierarchy process (AHP) method, the study conducts a thorough risk evaluation and proposes specific safety measures based on the evaluation outcomes. The findings offer a valuable reference for safety assessment methodologies in offshore wind power construction, enabling relevant construction entities to implement targeted safety measures to enhance overall safety standards.

2. Materials and Methods

2.1. Construction Workflow

The pile foundation construction process for offshore wind power mainly includes four phases: preparation for construction, pile sinking, end of construction, and foundation scour protection construction. The pile foundation construction workflow for offshore wind power is shown in Figure 2.

2.2. AHP

The AHP is a decision analysis method that is based on systems theory, a hierarchical weighted decision analysis method proposed by Saaty, a professor at the University of Pittsburgh and an American operations researcher, in the early 1970s [38,39]. The AHP is as follows [40,41]:
(1)
Hierarchical analytical modeling
The results of the risk analysis are divided into three layers: the target layer, the criterion layer, and the indicator layer, and a hierarchical analysis model is established. The target layer is the highest layer with only one factor, which is the goal of the hierarchical analysis and evaluation; the criterion layer is the middle layer, which is the intermediate link involved in realizing the evaluation goal; and the indicator layer is the lowest level of judging factors, which are the various basic factors for evaluating the goal.
(2)
Constructing a judgment matrix
The judgment matrix represents a comparison of the relative importance of n factors at a certain level to a factor in the previous level. Assuming that the factor ak in level A is related to B1, B2,…, and Bn in the next level, the general form of constructing the judgment matrix is shown in Equation (1).
a 1 B 1 B 2 B n B 1 b 11 b 12 b 1 n B 2 b 21 b 22 b 2 n B n b n 1 b n 2 b n n
The importance of two factors compared at the same level is the scale, i.e., the quantitative relationship of the judgment matrix, as shown in Table 1.
(3)
Calculate the judgment matrix
According to positive matrix theory, the matrix has the unique maximum eigenvalue λ m a x , and the maximum eigenvalue and eigenvector of the judgment matrix are found. We normalize the eigenvectors to obtain the weight vector, W = (w1,w2,…wn)T, which is the importance ranking of evaluation factors.
(4)
Consistency check
Since the expert’s knowledge of the actual problem is not ideal, the judgment matrix is inconsistent; generally, a judgment matrix inconsistency of less than 10% is acceptable. The check standard is shown in Equation (2):
C R = C I R I
CI is calculated as shown in Equation (3), and RI is calculated as shown in Table 2.
C I = λ m a x n n 1
where n is the order of the judgment matrix.

3. Safety Evaluation

3.1. Risk Identification

The identification of risks related to pile foundation construction for offshore wind power is based on the Classification and Code of Hazardous and Deleterious Factors in Production Process (GB/T13861-2022) [42], which was revised by consulting experts to systematically identify the risk indicators of offshore wind power pile foundation construction considering the aspects of human factors, material factors, management factors, and environmental factors.
(1)
The human factors
The physical condition of the workers: Failure to verify the physical condition of operators prior to the execution of an offshore wind project results in them operating in an unfavorable state, such as in a state of fatigue or drunkenness. Such negligence may pose serious safety hazards, not only affecting work efficiency but also potentially causing personal harm and property damage.
The psychological condition of the workers: Before operations commence, it should be taken into account that operators are affected by a variety of factors, such as work pressure, personal problems, or environmental influences, which can seriously alter one’s psychological state and, therefore, have a serious negative impact on normal operations. To ensure smooth operations, these psychological state issues need to be attended to and addressed to improve operator efficiency and safety.
The load of the workers: High workloads increase the physical strength of personnel, reduce their functioning, and increase the risk of personnel operational errors.
Special skills of the worker: If the main operator does not obtain the relevant operation certificate for pile foundation construction for offshore wind power, their technical level is not up to standard, and/or their work experience is not sufficient, the operation could fail, thus causing great losses. Personnel should also have good emergency response abilities before or during accidents to maximize their own safety and ensure the safe use of operating equipment.
The safety awareness of the workers: Safety awareness plays a pivotal role in construction and is of great significance in safeguarding construction personnel, improving the quality of construction, reducing construction costs, enhancing the image of the enterprise, and complying with laws and regulations.
Worker operations: Pile foundation operators should strictly follow the construction program and specifications to ensure the highest standards of quality and safety.
Conducting workers: The conductor bears the important responsibility of organizing, managing, and coordinating, which directly affects the safety, efficiency, and quality of construction. An experienced and skillful conductor can effectively promote the smooth progress of construction work and guarantee the successful implementation of a project. Violation of the conductor’s commands on the ground is likely to lead to accidents in pile foundation construction operations.
Supervision of the workers: Supervisors carry out multiple tasks, such as supervision, inspection, coordination, and risk management, which is why having a supervisory team is one of the most important guarantees for the smooth implementation and successful completion of a project. An efficient and professional supervisory team can effectively improve the quality, safety, and efficiency of construction and ensure the smooth progress of a project.
(2)
The material factors
Equipment defects: There are many kinds of equipment facilities, tools, and accessories in pile foundation construction for offshore wind power, including transportation systems, lifting equipment, fire protection systems, piling equipment, safety monitoring devices, foundation leveling devices, communication equipment, construction auxiliary facilities, and other related equipment. This equipment is the key foundation of the construction process, and the aging of the equipment and other defects will occur during long-term use. Hence, the failure to find and replace pieces of equipment in time will result in significant risks.
Protective equipment: Ensuring that protective equipment is worn and that protective measures are prepared during construction is a rather important task. Due to the complexity of the construction environment, operators may be affected by natural factors such as sea wind, waves, tides, etc., so they need to wear waterproof and non-slip equipment to ensure safety.
Noise: During offshore construction, noise from machinery or nature may be encountered, such as the friction of machinery and the wind at sea, etc. These sounds can greatly affect personnel and construction equipment, resulting in unforeseen consequences, so the impact of noise during the construction process cannot be ignored.
Logos and signage: During the construction process, logos and signage are mainly used to indicate the safe and dangerous areas of the site or to indicate special requirements and/or prohibited behaviors in the construction process. By setting up clearly visible logos and signage around dangerous areas, workers can be reminded of the relevant prohibited behaviors or be forced to pay attention to them, thus reducing the likelihood of accidents occurring, ensuring the safety of workers, and helping to maintain the order and safety of the construction site.
(3)
The management factors
Safety education and organization: Well-applied safety education and organization not only protects the safety and health of workers, prevents accidents, and improves the quality of construction but also contributes to employee morale and well-being.
Safety regulations: Rules and regulations should include provisions on personal protection, equipment operation, and the handling of emergencies to help workers avoid accidents and safeguard their safety and health, as this helps to ensure safety and compliance during the construction process and also helps to improve the efficiency and quality of the construction process and reduce risks and costs.
Emergency management: When implementing emergency plans and emergency response training, it is vital to offer field operators emergency response training to ensure that they can avoid injury or death when operational risks occur.
Safety operation rules: Practical and safe operating rules are essential in construction; they are put in place to help construction workers and instructors carry out construction work instructions to ensure the safe and efficient completion of construction projects.
Inputs for safety and health: The offshore construction environment presents many potential hazards and risks, and the health and safety of workers can be protected by investing in necessary resources and making an effort to provide the necessary safety equipment, training, and supervision to minimize the likelihood of accidents occurring during the construction process.
(4)
The environmental factors
Maritime traffic conditions: Good sea traffic management can ensure the safety and smooth progress of the construction process; therefore, sea traffic management should be given sufficient attention in the construction plan.
Submarine geological environment: Geomorphological features such as pits, reefs, and isolated rocks on the seabed surface in the installation area, as well as the type of seabed soils, will have a significant impact on the sinking of the suction conduit for frame foundations. Abandoned anchors, sunken ships, industrial and agricultural waste, and other disturbances in the installation area may prevent complete penetration of the seabed, and these seabed obstructions may, in turn, cause serious problems such as an in-sufficient bearing capacity and the buckling of the suction pile structure.
Workplace environment: The outdoor operation scenario mainly includes the wind power pile foundation construction area and an offshore platform, while the indoor operation scenario mainly involves the maintenance, overhauling, and processing of construction equipment and tools.
Marine meteorological disasters: Under extreme weather conditions, such as heavy rain and hail, the construction vessel may need to evacuate the offshore construction site in an emergency. If the piling work is only half-finished at this time, the piling operation can be temporarily interrupted. However, once construction resumes, hammer refusal may be encountered, thus increasing the number of safety risks and uncertainty in the construction process.

3.2. Comprehensive Security Evaluations

Based on the results of our risk identification, carried out to establish an AHP model, the AHP model for safety evaluation of pile foundation construction for offshore wind power is shown in Figure 3.
Eight experts with relevant experience were invited to a consultation meeting and to complete a questionnaire survey on the aforementioned factors of pile foundation construction for offshore wind power. The experts’ profiles are shown in Table 3.
The scores of these eight experts were taken as the arithmetic mean and divided into nine levels. We carried out an offshore wind power pile foundation construction safety evaluation of the target layer corresponding to the criterion layer to establish a judgment matrix (C-C) based on the criterion layers of workers, equipment, management, and environment (Table 4). The workers, equipment, management, and environmental factors of the four criterion layers of the respective corresponding indicator layer factors of the judgment matrix (C1-P, C2-P, C3-P, and C4-P) are shown in Table 5, Table 6, Table 7, and Table 8, respectively.
The safety evaluation target layer corresponds to the judgment matrix of the criterion layer, and each of the four criterion layers of workers, equipment, management, and environment corresponds to the judgment matrix of the factors of the indicator layer, and the normalized weights obtained by calculating them are shown in Figure 4a–e.
The safety evaluation target layer corresponds to the judgment matrix of the criterion layer, and each of the four criterion layers of workers, equipment, management, and environment corresponds to the judgment matrix of the factors of the indicator layer, and the λ m a x and the CR obtained by calculating them are shown in Table 9, showing values rounded to the fourth decimal place.
In the decision summary analysis, in order to prevent the reverse order, the weight vectors of each criterion and indicator layer are first idealized, then the criterion layer and indicator layer are combined by the product method, and finally the combined weights of the indicator layer are ranked [43]. The combined weights were normalized to obtain the percentage of each indicator in all indicators. The results are shown in Table 10. The idealized weight of the criterion layer is W = (0.84517, 1, 0.79807, 0.69711)T.
The factors affecting the safety of pile foundation construction for offshore wind power have differing levels of importance. The five most important indicators are piling equipment (P11), protective equipment (P13), special skills (P4), safety awareness (P3), and emergency management (P18). The four more important indicators are workplace environment (P23), lifting equipment (P9), fire protection system (P10), and operation (P2). To ensure the safety of pile foundation construction for offshore wind power, it is necessary to focus on the five aforementioned most important indicators and the four more important indicators mentioned above in order to implement safety measures and reduce the risks in pile foundation construction for offshore wind power.

4. Discussion

Among the five most important indicators and the four more important indicators mentioned above, there are four indicators for material factors, three for human factors, and one each for management factors and environmental factors. This indicates that the highest risks in pile foundation construction for offshore wind power are those related to the material and human indicators, meaning that focus should be placed on these two aspects when planning safety measures. Offshore wind power pile foundation construction is in a stage of rapid development, and the material and human aspects are the greatest sources of risks.
According to the results of the evaluation of safety indicators for pile foundation for offshore wind power, enterprises should prioritize and focus on implementing safety measures that could address serious risk indicators. Based on the results of our evaluation, we suggest that enterprises aiming to improve the safety of offshore wind power pile foundation construction implement the following:
(1)
Personnel training
In ordinary work, we must pay attention to the safety training of construction workers; improve their safety awareness, special skills, and operational capabilities; and ensure that they can cope with the complex maritime environment. The content of such training programs could encompass safety operation rules, emergency treatment protocols, water lifesaving, and other aspects.
(2)
Equipment improvements
In offshore wind power pile foundation construction, it is crucial to make continuous technological innovations and improvements to equipment. Evaluating the performance of equipment is the basis for improving safety, and improving the intrinsic safety level of equipment related to offshore wind power pile foundation construction can help mitigate risks. A data collection and monitoring system could be established to monitor the environmental conditions and construction progress at the construction site in real time so that potential safety hazards and construction problems can be promptly found and addressed.
(3)
Improved management
Emergency management is a remedial measure that can be taken when there is a danger of losses occurring, and good management can make up for safety defects to a certain extent. Emergency management for pile foundation construction includes emergency plans, emergency drills, emergency supplies and equipment, etc. Enterprises should closely cooperate and establish good partnerships with shipping companies, technology suppliers, regulatory agencies, etc., to deal with the challenges and risks that may be encountered during construction.
(4)
Improvements in environmental and ecological protection for operators
A good operating environment can reduce risk levels, and the operating environments of pile foundation construction for offshore wind power should be improved. In the process of pile foundation construction, enterprises should pay attention to sustainable development and ecological protection to reduce the impact on the marine ecological environment.

5. Conclusions

The pile foundation construction process comprises four primary phases: construction preparation, pile sinking, construction completion, and foundation scour protection. In this study, we systematically identified risk indicators for offshore wind power pile foundation construction, considering human factors, material factors, management factors, and environmental factors. The most important indicators were evaluated using hierarchical analysis and comprehensive evaluation methods, focusing on five key indicators: piling equipment, protective equipment, specialized skills, safety awareness, and emergency management. Additionally, four more important indicators were identified: workplace environment, lifting equipment, fire protection systems, and operational procedures. Based on our evaluation, we provided recommendations addressing the four key areas—human, material, management, and environmental factors. The methodology presented in this paper offers a robust framework for assessing risks in pile foundation construction for offshore wind power, enabling enterprises to prioritize and enhance safety measures related to the most critical risk indicators.

Author Contributions

Conceptualization, Q.Z. and H.H.; methodology, H.X.; software, C.X.; validation, X.T., S.F. and Z.L.; investigation, J.W. and C.X.; resources, Q.Z.; data curation, H.X.; writing—original draft preparation, S.F.; writing—review and editing, D.Y.; visualization, D.Y.; supervision, D.Y.; project administration, Q.Z.; funding acquisition, Z.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science and technology project of POWERCHINA (No. DJ-ZDXM-2023-50).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

Authors Qiang Zhang, Hui Huang and Hao Xu were employed by the Powerchina Huadong Engineering Co., Ltd., Powerchina Zhejiang Huadong Engineering Consulting Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Wu, Z.-H.; Xu, Q.; Ling, C.-M.; Wu, C.-Q. Hydrodynamic performance of a mono-tangent backward-rotating impeller based on tidal current energy utilization. Ocean Eng. 2022, 258, 111813. [Google Scholar] [CrossRef]
  2. Jang, J.; Lim, S.; Choe, S.-B.; Kim, J.-S.; Lim, H.-K.; Oh, J.; Oh, D. Enhanced predictive modeling vs. LCA simulation: A comparative study on CO2 emissions from ship operations. Ocean Eng. 2024, 310, 118506. [Google Scholar] [CrossRef]
  3. Gao, Y.; Liu, K.; Ke, L.; Zhang, X.; Jiang, W.; Gao, Z. Application of a coupled linear-bistable system in point absorber wave energy converter. Ocean Eng. 2024, 299, 117090. [Google Scholar] [CrossRef]
  4. Khalaf, M.; Xuan, T.; Qenawy, M.; Mustafa, H.M.M.; El-Mesery, H.S.; Esmail, M.F.C. Investigation and optimization of bio-oil extraction from mixed Jatropha-Castor seeds using screw-pressing methodology. Process Saf. Environ. Prot. 2024, 188, 217–229. [Google Scholar] [CrossRef]
  5. Aashabharathi, M.; Kumar, S.D.; Shobana, S.; Karthigadevi, G.; Srinidhiy, C.A.; Subbaiya, R.; Karmegam, N.; Kim, W.; Govarthanan, M. Biohythane production techniques and recent advances for green environment—A comprehensive review. Process Saf. Environ. Prot. 2024, 184, 400–410. [Google Scholar] [CrossRef]
  6. Li, P.; Li, X.; Wang, H.; Guo, F. A comparative experimental study on emission characteristics and ammonia energy ratio of diesel generator operating in ammonia/diesel dual fuel mode by premixed and port injection. Process Saf. Environ. Prot. 2023, 176, 402–410. [Google Scholar] [CrossRef]
  7. Xu, B.B.; Si, W. Discussion of Several Key Technologies about Offshore Wind Power. IOP Conf. Ser. Earth Environ. Sci. 2018, 153, 022007. [Google Scholar] [CrossRef]
  8. Lee, J. Global Wind Report 2024; Global Wind Energy Council: Brussels, Belgium, 2024. [Google Scholar]
  9. Zhang, Z.; Guan, P.; Xu, J.; Wang, B.; Li, H.; Dong, Y. Horizontal Loading Performance of Offshore Wind Turbine Pile Foundation Based on DPP-BOTDA. Appl. Sci. 2020, 10, 492. [Google Scholar] [CrossRef]
  10. Liu, J.; Wan, Z.; Dai, X.; Jeng, D.; Zhao, Y. Experimental Study on Whole Wind Power Structure with Innovative Open-Ended Pile Foundation under Long-Term Horizontal Loading. Sensors 2020, 20, 5348. [Google Scholar] [CrossRef]
  11. Shi, Y.; Yao, W.; Yu, G. Dynamic Analysis on Pile Group Supported Offshore Wind Turbine under Wind and Wave Load. J. Mar. Sci. Eng. 2022, 10, 1024. [Google Scholar] [CrossRef]
  12. Williams, R. Global Offshore Wind Report 2024; Global Wind Energy Council: Brussels, Belgium, 2024. [Google Scholar]
  13. Tan, Z.-f.; Zhang, C.; Song, Y.-H.; Shen, S. Distribution Shift for Wind Power Development in China: Strategy Analysis. J. Energy Eng. 2013, 141, 3. [Google Scholar] [CrossRef]
  14. Liu, Z.-B.; Ren, A.-S. A hybrid WT-FBPNN optimisation algorithm to identify the investment risk of wind power projects. Math. Struct. Comput. Sci. 2014, 24, e240503. [Google Scholar] [CrossRef]
  15. Zhou, Q.-C.; Ye, C.-M.; Geng, X.-L. A hybrid probabilistic linguistic term set decision-making evaluation method and its application in the site selection of offshore wind power station. Ocean Eng. 2022, 266, 112959. [Google Scholar] [CrossRef]
  16. Zhao, S.; Su, X.; Li, J.; Suo, G.; Meng, X. Research on Wind Power Project Risk Management Based on Structural Equation and Catastrophe Theory. Sustainability 2023, 15, 6622. [Google Scholar] [CrossRef]
  17. Chou, J.-S.; Liao, P.-C.; Yeh, C.-D. Risk Analysis and Management of Construction and Operations in Offshore Wind Power Project. Sustainability 2021, 13, 7473. [Google Scholar] [CrossRef]
  18. Li, C.-B.; Li, P.; Feng, X. Analysis of wind power generation operation management risk in China. Renew. Energy 2014, 64, 266–275. [Google Scholar] [CrossRef]
  19. Yamada, Y.; Matsumoto, T. Construction of Mixed Derivatives Strategy for Wind Power Producers. Energies 2023, 16, 3809. [Google Scholar] [CrossRef]
  20. Qian, M.; Chen, N.; Chen, Y.; Chen, C.; Qiu, W.; Zhao, D.; Lin, Z. Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment. Energies 2021, 14, 3735. [Google Scholar] [CrossRef]
  21. Cheng, M.-Y.; Wu, Y.-F. Investment Evaluation and Partnership Selection Model in the Offshore Wind Power Underwater Foundations Industry. J. Mar. Sci. Eng. 2021, 9, 1371. [Google Scholar] [CrossRef]
  22. McTiernan, K.L.; Sharman, K.T. Review of Hybrid Offshore Wind and Wave Energy Systems. J. Phys. Conf. Ser. 2020, 1452, 012016. [Google Scholar] [CrossRef]
  23. Ouyang, C.; Luo, J.; Wang, T.; Zhang, P. Research on the Effect of Burial Depth on The Bearing Characteristics of Three Helical Piles Jacket Foundation for Offshore Wind Turbines. J. Mar. Sci. Eng. 2023, 11, 1703. [Google Scholar] [CrossRef]
  24. Cheng, X.; Li, M.; Ma, C.; El Naggar, M.H.; Wang, P.; Sun, X. Dynamic analysis of tripod pile foundation in clays for offshore wind turbines. Ocean Eng. 2023, 287, 115832. [Google Scholar] [CrossRef]
  25. Wang, Q.; Hu, Z.; Zhao, G.; Zhu, B.; Wang, Y. Load-bearing characteristics of concrete-filled steel tubular combined piles (CFSTCPs) in sand-rock composite ground. Ocean Eng. 2023, 288, 116062. [Google Scholar] [CrossRef]
  26. Xu, M.; Wang, L.; Wang, L.; Guo, Z.; Zhou, W. Influence of bounding surface plasticity-based soil-structure interaction model on integrated dynamic behaviour of jacket offshore wind turbines. Ocean Eng. 2024, 298, 117204. [Google Scholar] [CrossRef]
  27. Basack, S.; Goswami, G.; Dai, Z.-H.; Baruah, P. Failure-Mechanism and Design Techniques of Offshore Wind Turbine Pile Foundation: Review and Research Directions. Sustainability 2022, 14, 12666. [Google Scholar] [CrossRef]
  28. Jiang, C.; Shi, Z.; Pang, L. Analytical Solution for Negative Skin Friction in Offshore Wind Power Pile Foundations on Artificial Islands under the Influence of Soil Consolidation. J. Mar. Sci. Eng. 2023, 11, 1071. [Google Scholar] [CrossRef]
  29. Ku, C.-Y.; Chien, L.-K. Modeling of Load Bearing Characteristics of Jacket Foundation Piles for Offshore Wind Turbines in Taiwan. Energies 2016, 9, 625. [Google Scholar] [CrossRef]
  30. Asumadu, R.; Zhang, J.; Osei-Wusuansa, H. 3-D numerical study of offshore tripod wind turbine pile foundation on wave-induced seabed response. Ocean Eng. 2022, 255, 111421. [Google Scholar] [CrossRef]
  31. Barari, A.; Ibsen, L.B. Vertical Capacity of Bucket Foundations in Undrained Soil. J. Civ. Eng. Manag. 2014, 20, 360–371. [Google Scholar] [CrossRef]
  32. Tsetas, A.; Tsouvalas, A.; Metrikine, A.V. Installation of Large-Diameter Monopiles: Introducing Wave Dispersion and Non-Local Soil Reaction. J. Mar. Sci. Eng. 2021, 9, 313. [Google Scholar] [CrossRef]
  33. Yang, Z.; Lin, Y.; Dong, S. Weather window and efficiency assessment of offshore wind power construction in China adjacent seas using the calibrated SWAN model. Ocean Eng. 2022, 259, 111933. [Google Scholar] [CrossRef]
  34. Zhong, W.; Guo, Q.; Shen, Y.; Li, W.; Zheng, L.; Chen, W. Force analysis of grouting connection section of offshore wind turbine three pile foundation structure. J. Chin. Inst. Eng. 2024, 47, 293–302. [Google Scholar] [CrossRef]
  35. Won, D.; Seo, J.; Kwon, O.; Park, H.-Y.; Kang, H. The Construction Conditions of a Pre-Piling Template for Foundations of Offshore Structures. J. Mar. Sci. Eng. 2024, 12, 174. [Google Scholar] [CrossRef]
  36. Tsouvalas, A. Underwater Noise Emission Due to Offshore Pile Installation: A Review. Energies 2020, 13, 3037. [Google Scholar] [CrossRef]
  37. Tummala, S.; Lavanya, C.; Kumar, N.D.; Kosaraju, S.; Bobba, P.; Singh, S. Foundation Types for Land and Offshore Sustainable Wind Energy Turbine Towers. E3S Web Conf. 2020, 184, 01094. [Google Scholar] [CrossRef]
  38. Saaty, T.L. Analytic Heirarchy Process. In Wiley StatsRef: Statistics Reference Online; John Wiley & Sons: Hoboken, NJ, USA, 2014. [Google Scholar] [CrossRef]
  39. Saaty, R.W. The analytic hierarchy process—What it is and how it is used. Math. Model. 1987, 9, 161–176. [Google Scholar] [CrossRef]
  40. Wang, Y.; Ni, X.; Wang, J.; Hu, Z.; Lu, K. A Comprehensive Investigation on the Fire Hazards and Environmental Risks in a Commercial Complex Based on Fault Tree Analysis and the Analytic Hierarchy Process. Int. J. Environ. Res. Public Health 2020, 17, 7347. [Google Scholar] [CrossRef]
  41. Tang, H.; Shi, P.; Fu, X. An Analysis of Soil Erosion on Construction Sites in Megacities Using Analytic Hierarchy Process. Sustainability 2023, 15, 1325. [Google Scholar] [CrossRef]
  42. GB/T 13861-2022; Classification and Code for the Hazardous and Harmful Factors in Process. China, S.A.O.: Beijing, China, 2022. Available online: http://c.gb688.cn/bzgk/gb/showGb?type=online&hcno=BCBA1F97621C11B4B5A6C10783C93DB1 (accessed on 24 July 2024).
  43. Tu, J.; Wu, Z. Analytic hierarchy process rank reversals: Causes and solutions. Ann. Oper. Res. 2023. [Google Scholar] [CrossRef]
Figure 1. New offshore wind installations in China and the world (excluding China).
Figure 1. New offshore wind installations in China and the world (excluding China).
Sustainability 16 07906 g001
Figure 2. Pile foundation construction workflow for offshore wind power.
Figure 2. Pile foundation construction workflow for offshore wind power.
Sustainability 16 07906 g002
Figure 3. AHP model.
Figure 3. AHP model.
Sustainability 16 07906 g003
Figure 4. Normalized weights. (a) The criterion layer. (b) Workers corresponds to indicator layer factors. (c) Equipment corresponds to indicator layer factors. (d) Management corresponds to indicator layer factors. (e) Environment corresponds to indicator layer factors.
Figure 4. Normalized weights. (a) The criterion layer. (b) Workers corresponds to indicator layer factors. (c) Equipment corresponds to indicator layer factors. (d) Management corresponds to indicator layer factors. (e) Environment corresponds to indicator layer factors.
Sustainability 16 07906 g004
Table 1. Meanings of scale measures.
Table 1. Meanings of scale measures.
ScaleMeaning
1Two factors are equally important
3The former is slightly more important than the latter
5The former is significantly more important than the latter
7The former is strongly more important than the latter
9The former is extremely more important than the latter
2, 4, 6, 8The median of the above two neighboring judgments
ReciprocalThe scale of factor Ai to factor Aj is aij, and vice versa 1/aij
Table 2. RI values corresponding to each order matrix.
Table 2. RI values corresponding to each order matrix.
n123456789101112131415
RI000.520.891.121.251.351.401.451.491.521.541.561.581.59
Table 3. The experts’ profiles.
Table 3. The experts’ profiles.
ExpertBackgroundEducation LevelSpecialized FieldWork AgeOrganizational Position
Expert 1Project manager of a construction unitMasterEngineering project management27Senior engineer
Expert 2The chief safety officer of a construction unitDoctorConstruction safety management10Senior engineer
Expert 3Deputy manager of the construction unitMasterWind power construction21Senior engineer
Expert 4Construction unit safety supervisorUndergraduateConstruction safety management30Senior engineer
Expert 5Vice-president of a universityDoctorEngineering project management24Professor
Expert 6Dean of a universityDoctorEngineering project management18Professor
Expert 7Dean of a collegeDoctorSecurity assessment15Professor
Expert 8Head of department at a universityDoctorRisk identification10Associate professor
Table 4. C-C judgment matrix.
Table 4. C-C judgment matrix.
The Target LayerC1C2C3C4
C111/212
C22111
C31111
C41/2111
Table 5. C1-P judgment matrix.
Table 5. C1-P judgment matrix.
C1P1P2P3P4P5P6P7
P111/31/51/51/333
P2311/31/3335
P35311565
P45311567
P531/31/51/5115
P61/31/31/61/6113
P71/31/51/51/71/51/31
Table 6. C2-P judgment matrix.
Table 6. C2-P judgment matrix.
C2P8P9P10P11P12P13P14P15
P811/51/61/71/31/71/31
P95131/341/335
P1061/311/33133
P1173315155
P1231/41/31/511/511
P1373115153
P1431/31/31/511/511
P1511/51/31/511/311
Table 7. C3-P judgment matrix.
Table 7. C3-P judgment matrix.
C3P16P17P18P19P20
P1611/31/735
P17311/555
P1875177
P191/31/51/711
P201/51/51/711
Table 8. C4-P judgment matrix.
Table 8. C4-P judgment matrix.
C4P21P22P23P24
P2111/51/61/3
P22511/33
P236315
P2431/31/51
Table 9. λ m a x and CR.
Table 9. λ m a x and CR.
C-CC1-PC2-PC3-PC4-P
λ m a x 4.18557.58718.48265.39094.1503
CR0.06950.07200.04890.08730.0563
Table 10. Weighting and ranking of indicator layers for offshore wind power pile foundation construction safety.
Table 10. Weighting and ranking of indicator layers for offshore wind power pile foundation construction safety.
The Indicator LayerIdealized WeightsCombined WeightsNormalized Combined WeightsRanking
Piling equipment (P11)110.1119761
Protective equipment (P13)0.848640.848640.0950272
Special skills (P4)10.845170.0946393
Safety awareness (P3)0.975220.8242270.0922944
Emergency management (P18)10.798070.0893655
Workplace environment (P23)10.697110.078066
Lifting equipment (P9)0.620230.620230.0694517
Fire protection system (P10)0.477650.477650.0534858
Operation (P2)0.476730.4029180.0451179
Submarine geological environment (P22)0.479170.3340340.03740410
Safety regulations (P17)0.367550.2933310.03284611
Conductor (P5)0.281050.2375350.02659812
Psycho-physiological condition (P1)0.218860.1849740.02071313
Noise (P14)0.184470.184470.02065614
Equipment aging (P12)0.178380.178380.01997415
Logo (P15)0.164330.164330.01840116
Safety education and organization (P16)0.204890.1635170.0183117
Marine meteorological disasters (P24)0.215230.1500390.01680118
Supervision (P6)0.170660.1442370.01615119
Transport system (P8)0.100640.100640.01126920
Load (P7)0.094020.0794630.00889821
Maritime traffic conditions (P21)0.10610.0739630.00828222
Safety operation rules (P19)0.082450.0658010.00736823
Inputs for safety and health (P20)0.077390.0617630.00691624
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, Q.; Huang, H.; Xu, H.; Li, Z.; Tian, X.; Fang, S.; Wang, J.; Xie, C.; Yang, D. A Hierarchical Analysis Method for Evaluating the Risk Factors of Pile Foundation Construction for Offshore Wind Power. Sustainability 2024, 16, 7906. https://doi.org/10.3390/su16187906

AMA Style

Zhang Q, Huang H, Xu H, Li Z, Tian X, Fang S, Wang J, Xie C, Yang D. A Hierarchical Analysis Method for Evaluating the Risk Factors of Pile Foundation Construction for Offshore Wind Power. Sustainability. 2024; 16(18):7906. https://doi.org/10.3390/su16187906

Chicago/Turabian Style

Zhang, Qiang, Hui Huang, Hao Xu, Zhenming Li, Xinjiao Tian, Shuhao Fang, Jing Wang, Changan Xie, and Dingding Yang. 2024. "A Hierarchical Analysis Method for Evaluating the Risk Factors of Pile Foundation Construction for Offshore Wind Power" Sustainability 16, no. 18: 7906. https://doi.org/10.3390/su16187906

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop