Adaptability Evaluation of Floating Foundation Based on Multi-Level Fuzzy Model

HUANG Yong; WANG Bin

doi:10.16516/j.ceec.2025-171

您当前的位置：

首页 >

文章列表页 >

Adaptability Evaluation of Floating Foundation Based on Multi-Level Fuzzy Model

更新时间：2026-02-28

- Adaptability Evaluation of Floating Foundation Based on Multi-Level Fuzzy Model
- Southern Energy Construction Vol. 13, Issue 1, Pages: 28-36(2026)
- 作者机构：
  
  1. 国家电投集团工程有限公司,上海,200233
  2. 天津理工大学海洋能源与智能建设研究院,天津,300384
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2025-171
  CLC： TK89;F40
- Published：2026
- 稿件说明：
移动端阅览
黄勇, 王宾. 基于多层次模糊模型的漂浮式基础适应性评价[J]. 南方能源建设, 2026, 13(1): 28-36.

.
黄勇, 王宾. 基于多层次模糊模型的漂浮式基础适应性评价[J]. 南方能源建设, 2026, 13(1): 28-36. DOI： 10.16516/j.ceec.2025-171.

. DOI： 10.16516/j.ceec.2025-171.

摘要

目的

方法

结果

结论

Abstract

Objective

Method

Result

Conclusion

关键词

Keywords

references

MULHOLLAND B, CHRISTIAN J. Risk assessment in construction schedules [J]. Journal of construction engineering and management, 1999, 125(1): 8-15. DOI: 10.1061/(ASCE)0733-9364(1999)125:1(8).

SHERIDAN B, BAKER S D, PEARRE N S, et al. Calculating the offshore wind power resource: robust assessment methods applied to the U. S. Atlantic coast [J]. Renewable energy, 2012, 43: 224-233. DOI: 10.1016/j.renene.2011.11.029.

MASTERS G M. Renewable and efficient electric power systems [M]. New Jersey: John Wiley Sons, 2004: 367-369. DOI: 10.1002/0471668826.

LIU Z, FAN T H, CHEN C H, et al. Comparison on hydrodynamic performance of three kinds of typical semi-submersible floating foundations of offshore wind turbine [J]. China offshore platform, 2021(2): 1-10. DOI: 10.12226/j.issn.1001-4500.2021.02.20210201.

SHENG H L. Risk assessment study of offshore wind power projects in China [D]. Beijing: University of International Business and Economics, 2022. DOI: 10.27015/d.cnki.gdwju.2022.000991.

YU Z Q. Research on risk management of offshore wind power construction projects [D]. Beijing: Beijing University of Posts and Telecommunications, 2020. DOI: 10.26969/d.cnki.gbydu.2020.000414.

CLEMEN R T, REILLY T. Correlations and copulas for decision and risk analysis [J]. Management science, 1999, 45(2): 208-224. DOI: 10.1287/mnsc.45.2.208.

FOX C R, TVERSKY A. A belief-based account of decision under uncertainty [J]. Management science, 1998, 44(7): 879-895. DOI: 10.1287/mnsc.44.7.879.

TSAKALEROU M, EFTHYMIADIS D, ABILEZ A. An intelligent methodology for the use of multi-criteria decision analysis in impact assessment: the case of real-world offshore construction [J]. Scientific reports, 2022, 12(1): 15137. DOI: 10.1038/s41598-022-19554-1.

ZHANG C, ZHANG X F, LIU S T, et al. Comprehensive evaluation of marine ship fires risk based on fuzzy broad learning system [J]. Journal of marine science and engineering, 2023, 11(7): 1276. DOI: 10.3390/jmse11071276.

LIU Y H, FANG P P, BIAN D D, et al. Fuzzy comprehensive evaluation for the motion performance of autonomous underwater vehicles [J]. Ocean engineering, 2014, 88: 568-577. DOI: 10.1016/j.oceaneng.2014.03.013.

WANG Y H, ZHANG Y F, CAI G, et al. Transient modeling and applicability analysis of a grid-forming doubly-fed inductiongenerator taking into account current limitation [J]. Power system protection and control, 2024, 52(21): 92-102. DOI: 10.19783/j.cnki.pspc.240104.

MAIENZA C, AVOSSA A M, RICCIARDELLI F, et al. A life cycle cost model for floating offshore wind farms [J]. Applied energy, 2020, 266: 114716. DOI: 10.1016/j.apenergy.2020.114716.

LERCH M, DE-PRADA-GIL M, MOLINS C, et al. Sensitivity analysis on the levelized cost of energy for floating offshore wind farms [J]. Sustainable energy technologies and assessments, 2018, 30: 77-90. DOI: 10.1016/j.seta.2018.09.005.

CASTRO-SANTOS L, MARTINS E, GUEDES SOARES C. Methodology to calculate the costs of a floating offshore renewable energy farm [J]. Energies, 2016, 9(5): 324. DOI: 10.3390/en9050324.

LIANG C H, ZHU Y Q, ZHANG Y X, et al. Optimization of the string impedance on the stator side of the DFIG [J]. Power system protection and control, 2024, 52(11): 137-147. DOI: 10.19783/j.cnki.pspc.231558.

CAI S P, ZHANG Y K, JIN Y, et al. Numerical analysis of dynamic piling process of large-diameter monopile of offshore wind turbine [J]. Mechanical electrical engineering technology, 2022, 51(10): 26-30, 35. DOI: 10.3969/j.issn.1009-9492.2022.10.006.

GARCÍA-OROZCO S, VARGAS-GUTIÉRREZ G, ORDÓÑEZ-SÁNCHEZ S, et al. Using multi-criteria decision making in quality function deployment for offshore renewable energies [J]. Energies, 2023, 16(18): 6533. DOI: 10.3390/en16186533.

LIU F Z, ZHOU L Y, WEI Y J, et al. Fault localization algorithm for wind farm collection lines based on SGMD-WVD combined with KD [J]. Power systems and big data, 2025, 28(3): 68-76. DOI: 10.19317/j.cnki.1008-083x.2025.03.008.

XIANG N W, CHENG H L, YE S H, et al. Fault ride-through coordinated control strategy for offshore wind power via flexible low-frequency transmission system [J]. Electric power engineering technology, 2025, 44(5): 57-68. DOI: 10.12158/j.2096-3203.2025.05.005.

WU G, GONZALEZ R. Nonlinear decision weights in choice under uncertainty [J]. Management science, 1999, 45(1): 74-85. DOI: 10.1287/mnsc.45.1.74.

SHEN Y X, LIU L, ZENG M. Social benefit evaluation models for wind power and their applications [J]. East China electric power, 2009, 37(5): 852-855. DOI: 10.3969/j.issn.1001-9529.2009.05.044.

SMITH J E. Evaluating income streams: a decision analysis approach [J]. Management science, 1998, 44(12): 1690-1708. DOI: 10.1287/mnsc.44.12.1690.

ZENG M, LIU W F, WEI R, et al. Index systems and methods for feasibility evaluation for wind power generation [J]. East China electric power, 2008, 36(8): 85-88. DOI: 10.3969/j.issn.1001-9529.2008.08.021.

LIAO H Q, QIU Y, YANG X, et al. A study of weight coefficient computing method based on AHP [J]. Mechanical engineer, 2012(6): 22-25. DOI: 10.3969/j.issn.1002-2333.2012.06.010.

MENG H, CHEN Y J. Comprehensive assessment on developing capability of new energy industry [J]. Forum on science and technology in China, 2010(6): 51-58. DOI: 10.3969/j.issn.1002-6711.2010.06.010.

CHU X W, ZHANG S Y. Guidance scheme for investment cost assessment of offshore wind power (Part 1) [J]. China ship survey, 2012(7): 75-78. DOI: 10.3969/j.issn.1009-2005.2012.07.039.

FU Y, XU H L, HUANG L L. Life-cycle cost analysis of power collection system in offshore wind farm [J]. Automation of electric power systems, 2016, 40(21): 161-167. DOI: 10.7500/AEPS20160321015.

ZHANG Y C, FENG L H, ZHANG Y D. Analysis on economic influence of environmental impact statement in the feasibility study on project [J]. Forestry construction, 2007(2): 43-46. DOI: 10.3969/j.issn.1006-6918.2007.02.012.

ZHOU S N, FENG C. Whole life cycle cost analysis of floating offshore wind turbines [J]. China offshore platform, 2024, 39(3): 35-38, 59. DOI: 10.12226/j.issn.1001-4500.2024.03.20240306.

GUO Y B. Study on the method of pre-evaluation for Hongshiyan wind farm project [D]. Baoding: North China Electric Power University, 2014. DOI: 10.7666/d.D528574.

ZHANG J W, SHAO W. Application of fuzzy comprehensive assessment in reservoir resettlement post evaluation [J]. Water conservancy science and technology and economy, 2006, 12(1): 5-8. DOI: 10.3969/j.issn.1006-7175.2006.01.002.

WANG S Q, TANG J, QI Y F, et al. Research on risk of PC component in detailed design stage: based on fuzzy analytic hierarchy process method [J]. Construction economy, 2018, 39(9): 35-39. DOI: 10.14181/j.cnki.1002-851x.201809035.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Comprehensive Evaluation of Electricity Market Risk Based on Subjective and Objective Weighting

Flatness evaluation based on real-coded genetic algorithm

Reflective optical fiber micro-displacement sensor and its application to the measurement of teeth chewing in real-time

Design of an analog Sigma-Delta regulator and its simulation

Study of method for generating ideal edges

Related Author

Zhixiang ZHANG

Long JIANG

Xu YAN

Shifang KUANG

Zhanhui LU

Yanjie WANG

Guozhi XU

Yingtao XIAO

Related Institution

Guangzhou Power Exchange Center Co., Ltd.

China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd.

HY Power Technology Co., Ltd.

State Grid Anhui Power Company Fuyang Power Supply Company

AI问答

⁰