Risk assessment on offshore photovoltaic power generation projects in China based on a fuzzy analysis framework

Wu, Yunna; Li, Lingwenying; Song, Zibin; Lin, Xiaoshan

doi:10.1016/j.jclepro.2019.01.024

Cited by 70 publications

(51 citation statements)

References 46 publications

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“…Rai et al [36] International transboundary rivers Zhao et al [37] Green projects Ruparathna et al [38] Service of buildings Wu et al [39] Straw power generation project, offshore wind power project 4 Mathematical Problems in Engineering turbine equipment, and tariff preferential policies will have an impact on them.…”

Section: Fse Methodsmentioning

confidence: 99%

Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

Liu

Zhou

Dong

et al. 2020

Mathematical Problems in Engineering

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Reducing the phenomenon of wind curtailment is essential to improve the level of wind power consumption. Wind power development in China has shifted to southeast region and dispersed wind power has developed rapidly and gradually become the new main force. However, various obstacles limit the smooth progress of dispersed wind power in low wind speed area. An important point is the absence of targeted risk analysis and evaluation methods. erefore, the principal contribution of this paper is to find out the critical risk factors of such projects and propose the risk assessment model. First, 18 critical risk factors are identified using the constructed five-dimensional risk analysis model. Second, the hesitant fuzzy linguistic term set with credibility is utilized to collect evaluation information on one hand and to improve the multicriteria decision-making methods involved on the other hand. ird, the risk evaluation and ranking for 10 provinces that mainly develop dispersed wind power is carried out. e evaluation results indicate that the risk level of dispersed wind power projects is "Relatively Low" in most study provinces and the risk levels of Guangdong and Fujian are higher. It is worth noting that the consistency between the evaluation results and the distribution of wind resources can be used to guide the formulation of stimulus policies. Besides, the ranking results show some preference for investment choice. Finally, dual sensitivity analysis tests the stability of the model and shows the ranking results under different decision preferences. Scenario analysis gives the possible risk scenarios and evaluation results in the future. is study can provide insightful inspiration to wind power investors, risk management practitioners, and policymakers.

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Section: Fse Methodsmentioning

confidence: 99%

Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

Liu

Zhou

Dong

et al. 2020

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Also, experts need to identify the relationships among factors. As is shown in Figure 3, it is the relationship among risk factors that may bring risks to offshore photovoltaic power generation [19].…”

Section: B Risk Assessment Proceduresmentioning

confidence: 99%

“…The pairwise comparison is based on the perspective of an analyst with rich knowledge and experience. Calculate the weight of each factor by superdecision software, and the weighted supermatrix is obtained [19].…”

Section: B Risk Assessment Proceduresmentioning

confidence: 99%

“…In this section, an example of risk assessment on OPVPG in China in Ref. [19] is used to illustrate the procedure and effectiveness of the proposed method. Additional cases of analysts' judgments are designed to illustrate the flexibility of the proposed method.…”

Section: Case Studymentioning

confidence: 99%

“…The main point of risk assessment is the expression and measurement of uncertainty information. There are several theories that can handle uncertainty information, including fuzzy set [19], rough set [20], grey system [21] and Dempster-Shafer evidence theory [22]. Among these theories, Dempster-Shafer theory is popular and extensively used to deal with uncer-tainty problems especially in risk assessment because of its superiority in expressing uncertain information.…”

Section: Introductionmentioning

confidence: 99%

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Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP

Jie

Qian

2020

IEEE Access

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At present, China's offshore photovoltaic (PV) industry is developing rapidly. Risk assessment on offshore PV power generation (OPVPG) projects is important. The existing risk assessment methods in OPVPG projects in China are insufficient in dealing with different types of uncertainties. In this paper, we propose a computational model based on D Numbers and analytic network process (ANP) method to handle risk assessment on OPVPG projects. Firstly, factors that influencing offshore photovoltaic power generation projects in China are identified and the weights of the factors are determined by domain analyst using ANP. Secondly, risk evaluation judgment on each factor is given by expert referring to predefined anchors and linguistic labels under specific situations. Thirdly, the judgments are represented as D numbers and are integrated into a fused D number. Finally, the overall risk level of OPVPG in China is obtained based on the fused D number. The main contribution of the proposed method based on D numbers is to deal with uncertainties and the degree of confidence in experts judgments. Uncertainty includes situations like: do not know how to assign accurate beliefs to risk levels and incomplete frame of discernment. The degree of confidence shows the cognition of the experts. The situation that the confidence of expert is equal to 1 shows the certainty of experts. When the confidence of expert is equal to 0, it means that experts cannot decide the risk levels. It can be considered as a new strategy for risk assessment and enriches the framework of decision-making. Several case studies are illustrated to show the effectiveness and flexibility of the proposed method.

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RETRACTED ARTICLE: An innovative framework to forecast the best inventory management system module by hesitant fuzzy VQA-TOPSIS technique for textile industry

Sekar

Kumar

Dahiya

et al. 2022

Int J Adv Manuf Technol

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Risk assessment on offshore photovoltaic power generation projects in China based on a fuzzy analysis framework

Cited by 70 publications

References 46 publications

Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

Risk Assessment on Offshore Photovoltaic Power Generation Projects in China Using D Numbers and ANP

RETRACTED ARTICLE: An innovative framework to forecast the best inventory management system module by hesitant fuzzy VQA-TOPSIS technique for textile industry

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