A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece

Latinopoulos, Dionysis; Kechagia, K.

doi:10.1016/j.renene.2015.01.041

Cited by 310 publications

(197 citation statements)

References 22 publications

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“…Further, the related work pertaining to the development of wind projects considering these factors is evident in the literature. Latinopoulos and Kechagia [26] used GIS-based, multi-criteria assessment for wind project location selection in Greece; they considered economic, technological, social, and environmental factors as criteria with substantial numbers of sub-criteria. Azizi et al [27] used the environmental, technical, and economic factors in wind power plant site selection.…”

Section: Factor Analysis (Fa)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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Section: Factor Analysis (Fa)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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“…On the other hand, in [16] selection of an onshore wind farm location is also dealt with in [17], and an offshore one received a similar treatment in [5]. GIS decision systems were suggested, amongst other things in [18], [19], [20], [21]. These systems evaluate the potential of onshore areas regarding the situation of wind farms nearby.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It should be noted that, in order to solve decision-making problems related to wind energy, decision models are used, and these are characterized by various complexities. The amount of criteria considered while selecting a location or a design of a wind firm ranges from 6 [19] to 35 [6]. These criteria are often interrelated and interdependent.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[5], [6], [15], [17], [19]- [21], [23], [24], [26] C1.2 Output power of wind turbine [8] C1.3 Power grid voltage on the site of connection [26] C2 Economic C2.1 Yearly amount of energy generated [6], [7], [25] C2.2 Investment cost [5]- [7], [16], [25] C2.3 Operational costs per year [5], [6], [16], [25] C2.4 Incomes from generated energy per year [26] C2.5 Profits from generated energy per year [5], [6], [24] C2.6 Payback period [5]- [7] C3 Social C3.1 Number of generated workplaces [5], [6], [15] C3. C4.3 Location in Natura 2000 protected area [7], [19], [22], [23] C1.2 The maximum output power of a turbine is achieved at a specific wind speed, which is critical. If the wind speed is lower, then the output power is equally lower.…”

Section: The Proposed Decision Model For Dssmentioning

confidence: 99%

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MCDA-based Decision Support System for Sustainable Management – RES Case Study

Wątróbski¹,

Ziemba²,

Wolski³

2016

Annals of Computer Science and Information Systems

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Abstract-The MCDA methods are used in order to solve complex decision-making problems which require considering many interrelated criteria. They are also the basis of DSS. Nevertheless, these dependencies between criteria can have an influence on the obtained solution. A class of decision-making problems, in which there are intercriteria dependencies, are decisions in the sustainability area, e.g. selection of a location and a design of an RES-based power station. The article presents a complex model, taking into consideration dependencies between criteria.

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“…Additionally, geographic information system (GIS), which is a useful tool for spatial planning and management, can be particularly valuable for visualization and site selection assessment based on spatially related criteria [19][20][21]. The approach adopted in this study is MCDA integrated in GIS environments, which has been widely used to determine the suitability of fire stations [22][23][24], seismic stations [25], ecotourism [26,27], wind farm sites [19], and PV solar plant [28]. The methodology is to generate suitability map for building campgrounds.…”

Section: Introductionmentioning

confidence: 99%

Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China

Wang¹,

Yang²,

Liu³

et al. 2016

Open Geosciences

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Abstract:The main objective of this study was to evaluate the suitability and select the most appropriate areas for building campgrounds in Kuerdening, China. To achieve this aim, AHP and GIS-based weighted overlay methods were adopted. AHP was used to determine the weights of the indexes, and ArcGIS 10 was used to calculate and map the campground suitability. In pursuit of minimum environmental effects and sustainable development, this paper identifies four factors to evaluate the suitability of areas for building campgrounds: natural environment condition, landscape condition, safety condition and infrastructure condition. The final outcome of this study was the suitability map for building campgrounds. This research not only provides a theoretical guide for the construction of campgrounds in this area but also provides a scientific and efficient workflow to evaluate the appropriateness of other areas. The result is reasonable and operable for camping facilities development and also useful for managers and planners working in local governments as well as investors.

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A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece

Cited by 310 publications

References 22 publications

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

MCDA-based Decision Support System for Sustainable Management – RES Case Study

Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China

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