A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea

Tercan, Emre; Tapkın, Serkan; Latinopoulos, Dionysis; Dereli̇, Mehmet Ali; Tsiropoulos, Anastasis; Ak, Muhammet Fatih

doi:10.1007/s10661-020-08603-9

Cited by 52 publications

(21 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of natural conditions, wind speed (C 1 ) was selected as an evaluation index. Wind speed index is directly related to the energy production and financial return on investment in offshore wind power [17][18][19][20]25,26,36,37], which is an important standard used to evaluate the spatial suitability of wind farm locations.…”

Section: Index System and Data Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

Huang

Song

et al. 2022

Sustainability

View full text Add to dashboard Cite

Actively promoting the development of offshore wind power is an inevitable choice if the People’s Republic of China plans to fulfill its international commitments, respond to climate change, ensure energy security, and improve energy infrastructure. Inevitably, offshore wind power development will conflict with other marine activities, including mariculture and shipping. Therefore, learning how to develop offshore wind power without affecting the environment or conflicting with other marine activities is crucial to the conservation of spatial marine resources. The rapid development of offshore wind power in Liaoning Province has allowed researchers to develop an index system that can be used to evaluate the suitability of offshore wind power development sites by considering costs, environmental protection, and sea management. Spatial analysis and a multi-attribute evaluation method integrating a fuzzy membership function were used to evaluate offshore wind farm placement in Liaoning. The results classified 5%, 18%, 21%, and 56% offshore areas of Liaoning as very suitable, relatively suitable, somewhat unsuitable, and unsuitable for wind power development, respectively. The results of this paper can provide a reference for decision makers who plan for offshore wind farm locations under the constraints of high-intensity development.

show abstract

Section: Index System and Data Sourcesmentioning

confidence: 99%

“…The distance from the nearest port index provides another basis for assessing the cost of installation, construction, and operation of wind farms [39]. Therefore, the site selection for offshore wind farms should involve areas as close to ports as possible to minimize the cost of construction, maintenance, and repair [36].…”

Section: Index System and Data Sourcesmentioning

confidence: 99%

Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

Huang

Song

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…First of all, considering the development cost, operation revenue forecast, wake effect, and other factors, the selection of offshore wind farm sites is a very complex problem (Wu et al 2019 ; Cranmer et al 2017 ). Tercan et al ( 2020 ) provided a solution to the problem of offshore wind power location. It combined multi-criteria decision-making (MCDM) methods and geographical information systems (GIS) and was implemented in Cyclades (Greece) and in the sea area of the İzmir region (Turkey).…”

Section: Literature Reviewmentioning

confidence: 99%

The influencing factors and hierarchical relationships of offshore wind power industry in China

Yang

Zhao

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

As a new and cost-effective renewable energy power generation technology, offshore wind power is getting more and more attention. The development of offshore wind power industry is affected by policy-making, technology management, resources and environment, market supply and demand, and the relationship among the influencing factors is complex. This paper analyzes the factors that affect offshore wind power industry from a unique and comprehensive perspective. Fourteen factors are selected and interpretative structural model (ISM) is established to study the relationship between the influencing factors of offshore wind power industry. The results show that 14 influencing factors can be divided into five levels: the first level is the surface factors, including the economic incentive policy, operation mechanism, industrial chain, energy market mechanism, investment, and financing mechanism; the second and third levels are the intermediate factors, including generation cost, operation management, and offshore wind power technology; the fourth and fifth levels are deep-seated factors, including development planning and grid price, site selection, R&D investment, environmental protection policy, and offshore wind power supply. Deep-seated factors have a direct impact on the intermediate factors, the intermediate factors have an important impact on the surface factors, and the surface factors directly affect the development of offshore wind power industry. The influence of the 14 factors selected in this paper on offshore wind power industry is from bottom to top, from deep to shallow.

show abstract

“…GIS technology provides a flexible background for the storage, analysis and visualization of digital data required for the detection of change and database development [19,20]. It has been frequently utilised in many research domains such as suitability assessment of urban construction land [21], high-speed railway route determination [22], sinkhole susceptibility mapping [23], location selection of fire stations [24], development of citrus cultivation suitability model [25], photovoltaic solar farms location selection [26], and offshore wind farms location selection [27]. The integration of GIS and RS can help generate useful information about the scale and extent of LULC changes.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of marble quarries expansion and land cover changes using satellite images and GIS on a rural settlement of Burdur province, Turkey

Tercan¹,

Dereli̇²

2021

El-Cezeri Fen Ve Mühendislik Dergisi

Self Cite

View full text Add to dashboard Cite

This study was actualized in Karamanlı district of Burdur province in order to draw attention to the increase in the surface areas of marble quarries and to monitor the changes of land cover types during the period from 1995 to 2020. Geographic information system tools and supervised maximum likelihood classification approach provided a methodological basis for this study. Landsat satellite images used in this study were

show abstract

A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea

Cited by 52 publications

References 78 publications

Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

The influencing factors and hierarchical relationships of offshore wind power industry in China

Monitoring of marble quarries expansion and land cover changes using satellite images and GIS on a rural settlement of Burdur province, Turkey

Contact Info

Product

Resources

About