Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis

Tautz-Weinert, Jannis; Yürüşen, Nurseda Y.; Melero, Julio J.; Watson, Simon J.

doi:10.1016/j.renene.2018.07.110

Cited by 17 publications

(17 citation statements)

References 32 publications

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“…As a consequence, it can be assumed that the potential farmland buyers see the presence of maintenance workmen as a strong disturbance factor for agricultural activities. For instance, [96] highlighted that wind turbines usually require several maintenance operations, such as inspection, repairment, and replacement of various parts (e.g., anemometer, main bearing, blades, tower, converter, brake pumps), but also gates, fences, paths, signs, and other access infrastructures that require periodic maintenance [97]. On the other hand, it is reasonable to assume that respondents are not bothered by maintenance workmen in woodland due to the short time spent annually in this farmland.…”

Section: Discussionmentioning

confidence: 99%

Influence of Wind Turbines on Farmlands’ Value: Exploring the Behaviour of a Rural Community through the Decision Tree

et al. 2021

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The relationship between wind energy and rural areas leads to the controversial debate on the effects declared by rural communities after wind farms or single turbines are operative. The literature on this topic lacks dedicated studies analysing how the behaviour of rural communities towards wind turbines can affect the market value of farmlands. This research aims to examine to the extent to which the easement of wind turbines can influence the market value of farmlands in terms of willingness to pay (WTP) by a small rural community, and to identify the main factors affecting the WTP. Starting from data collected via face-to-face interviews, a decision tree is then applied to investigate the WTP for seven types of farmland in a rural town of Puglia Region (Southern Italy) hosting a wind farm. Results of the interviews show a broad acceptance of the wind farm, while the decision tree classification shows a significant reduction of WTP for all farmlands. The main factors influencing the WTP are the education level, the possibility to increase the income, the concerns for impacts on human health and for maintenance workmen. National and local policy measures have to be put in place to inform rural communities about the ‘magnitude’ of the effects they identified as crucial, so that policy-makers and private bodies will contribute to make the farmland market more equitable.

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Section: Discussionmentioning

confidence: 99%

Influence of Wind Turbines on Farmlands’ Value: Exploring the Behaviour of a Rural Community through the Decision Tree

et al. 2021

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“…Scheduling refers to daily or weekly planning of inspections and weather forecasting for the near future. Wind farm planning generally considers economic and environmental aspects [258,259], SCADA data [69], failure modes [260][261][262], availability [263] and WT information [264,265], in aspects such as weather forecasting [266] and route optimization [267]. On the other hand, long term scheduling or planning refers to planning strategic decisions aimed at optimizing wind farm life-cycle maintenance [126,205,268].…”

Section: Decision Making Techniquesmentioning

confidence: 99%

A Comprehensive Review of Artificial Intelligence and Wind Energy

Márquez

Gonzalo

2021

Arch Computat Methods Eng

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Support of artificial intelligence, renewable energy and sustainability is currently increasing through the main policies of developed countries, e.g., the White Paper of the European Union. Wind energy is one of the most important renewable sources, growing in both onshore and offshore types. This paper studies the most remarkable artificial intelligence techniques employed in wind turbines monitoring systems. The principal techniques are analysed individually and together: Artificial Neural Networks; Fuzzy Logic; Genetic Algorithms; Particle Swarm Optimization; Decision Making Techniques; and Statistical Methods. The main applications for wind turbines maintenance management are also analysed, e.g., economic, farm location, non-destructive testing, environmental conditions, schedules, operator decisions, power production, remaining useful life, etc. Finally, the paper discusses the main findings of the literature in the conclusions.

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“…The wind speed from June to August is significantly lower than other months. There are also data showing that wind resources in cold regions are 10% higher than other regions …”

Section: Introductionmentioning

confidence: 99%

“…There are also data showing that wind resources in cold regions are 10% higher than other regions. 17,18…”

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confidence: 99%

A review on ice detection technology and ice elimination technology for wind turbine

et al. 2019

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Blade icing can affect wind turbines to generate electricity. In severe cases, 30% of power generation is lost in a year, and safety problems in the vicinity of wind power plants are also caused. Researchers have designed anti-icing and de-icing technologies to reduce these effects, and excellent ice-detecting devices are a prerequisite for using anti-icing and de-icing technologies. Ultrasonic attenuation technology can effectively and reliably detect the presence of ice without affecting the aerodynamic performance of the blade, providing a reliable guarantee for anti-icing and de-icing systems. Deicing and anti-icing systems are divided into active and passive, active heating blades are still the most effective anti-icing and de-icing methods, but their energy consumption is too high. Although there are many existing de-icing methods, there are not many practical uses. This article introduces them separately and lists their advantages and disadvantages. The use of ultrasonic anti-icing and de-icing is an economical and reliable means that has been proven to be used for anti-icing and de-icing of blades. However, under normal circumstances, a single anti-icing de-icing system cannot completely solve the problem of icing of the blades. This paper suggests using both ultrasonic and hydrophobic coatings to cope with more icing conditions. K E Y W O R D Santi-icing and deicing technology, fan blade, hydrophobic coating, ice detection technology, ultrasonic deicing | INTRODUCTIONWith the rapid development of the world economy, lots of countries are increasingly demanding energy resources. Owing to release a lot of greenhouse gases, chemicals and toxins substances from the combustion of the fossil fuels such as coal and oil, 1 People began to look for renewable energy to provide energy consumption, such as wind energy, 2-4 hydrogen energy, 5-7 solar energy, 8-10 biogas and biomass energy. 11-15 With the wind power growing rapidly, generate electricity by using wind turbines is economical and environmentally friendly. 16 As can be seen in Figure 1, China's total installed capacity of wind turbines in 2016 is much higher than in other countries.China has the largest wind power market in the country, and the installed capacity of wind power is growing steadily year by year. The high density of air is conducive to the development of wind energy resources in cold regions. Figure 2 shows wind resource changes in different seasons. The wind speed from June to August is significantly lower than other months. There are also data showing that wind resources in cold regions are 10% higher than other regions. 17,18

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Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis

Cited by 17 publications

References 32 publications

Influence of Wind Turbines on Farmlands’ Value: Exploring the Behaviour of a Rural Community through the Decision Tree

Influence of Wind Turbines on Farmlands’ Value: Exploring the Behaviour of a Rural Community through the Decision Tree

A Comprehensive Review of Artificial Intelligence and Wind Energy

A review on ice detection technology and ice elimination technology for wind turbine

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