Offshore wind farm site selection study around Jeju Island, South Korea

Kim, Taeyun; Park, Jeong‐Il; Maeng, Jun‐Ho

doi:10.1016/j.renene.2016.03.083

Cited by 82 publications

(51 citation statements)

References 14 publications

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“…Moreover, the water depth has to be at 40 meters maximum. The buffer range order have been based on previous studies (Schillings et al 2012;Kim, Park, and Maeng 2016;Möller 2011) to select no go areas, of course in a context of the decision-aid process the values needs to be taken with the cooperation of local stakeholders and specialists. Finally, the farm has to be at a minimum distance of 1 km from every fauna or flora zone to not disturb them.…”

Section: Criteria Identificationmentioning

confidence: 99%

GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong

et al. 2019

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The search for suitable marine areas is a prerequisite at an early stage of any offshore renewable energy system project. This paper introduces a methodological framework for identifying the maritime areas the most appropriate to implement an offshore wind turbine farm in the Hong Kong bay. The framework is based on the combined use of Multi-Criteria Decision Analysis (MCDA) and Geographical Information Systems (GIS). At the first stage of the analysis, unsuitable areas for the deployment of an offshore wind turbine have been first identified. At the second stage of the analysis, eligible marine areas have been ranked using a MCDA and different scenarios. Finally, a cost analysis has been performed to refine the whole approach as well as a comparison to previous studies in the Hong Kong bay.

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Section: Criteria Identificationmentioning

confidence: 99%

GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong

et al. 2019

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“…The authors of [2] develop strategies for the selection of an offshore wind farm, in the coastal regions of South Korea's Jeju Island. The settlement criteria are divided into four categories: conservation areas and environmental protection, energy resources and economy, marine ecology and human activities, and marine environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The shortage of fossil fuels and the negative effects on the environment have created a need for clean energy [1]. Radioactive waste generated by nuclear power plants and security problems, especially the explosion of nuclear power plants in Japan Fukushima, triggered the tendency for renewable energy sources [2].…”

Section: Introductionmentioning

confidence: 99%

Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

Rouyendegh

Yıldızbaşı

Arikan

2018

Advances in Fuzzy Systems

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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

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“…After that, the construction of wind energy farms rapidly increased due to the highly increasing demand of electricity. In the sea off of Gujwa-eup, 2-MW and 3-MW wind power generators were installed as a test, whereas 30-MW, 100-MW, and 84-MW commercial wind farms are planned in the sea off of Hangyeong-myeon, Hanlim-eup, and Daejeong-eup of Jeju Island, respectively [55,56]. Most wind farms are in Gangwon Province and Jeju Island due to the strong winds in winter of more than 9 m/s that appeared in Jeju Island, Gyeongnam's east coast, and Gangwon Province mountainous areas (Mt.…”

Section: Current Status and Prospectsmentioning

confidence: 99%

Opportunities and Challenges of Solar and Wind Energy in South Korea: A Review

Alsharif

Kim

2018

Sustainability

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South Korea is the ninth biggest energy consumer and the seventh biggest carbon dioxide emitter in global energy consumption since 2016. Accordingly, the Korean government currently faces a twofold significant challenge to improve energy security and reduce greenhouse gas emissions. One of the most promising solutions to achieve the goals of sustainable development, energy security, and environmental protection is intensifying the role of renewable energy in electricity production. To this end, the Korean government plans to increase investments in the green energy field, where solar and wind energy will soon play a decisive role toward meeting energy demands and achieving a climate-friendly environment. In this context, this study discusses the future of solar and wind energy in South Korea in four key aspects: (i) opportunities and potential achievement of the vision of government; (ii) potential daily energy output across different geographical areas; (iii) current status and prospects; and (iv) challenges and potential solutions.

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Offshore wind farm site selection study around Jeju Island, South Korea

Cited by 82 publications

References 14 publications

GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong

GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong

Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

Opportunities and Challenges of Solar and Wind Energy in South Korea: A Review

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