Relevant bibliographies by topics / Wind turbine, geographic information system, multi-criteria analysis, analytic hierarchy process

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'Wind turbine, geographic information system, multi-criteria analysis, analytic hierarchy process'

Author: Grafiati
Published: 24 April 2022
Last updated: 18 July 2025

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Journal articles on the topic "Wind turbine, geographic information system, multi-criteria analysis, analytic hierarchy process"

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Przewoźniak, Magdalena, Artur Wyrwa, Janusz Zyśk, Maciej Raczyński, and Marcin Pluta. "Conducting a Geographical Information System-Based Multi-Criteria Analysis to Assess the Potential and Location for Offshore Wind Farms in Poland." Energies 17, no. 2 (2024): 283. http://dx.doi.org/10.3390/en17020283.

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Offshore wind energy is becoming an increasingly important element in the decarbonisation of energy systems. This study aims to estimate the technical potential for offshore wind energy in the Polish exclusive economic zone (EZZ) of the Baltic Sea. Such estimates are necessary to plan the expansion of energy infrastructure. This paper proposes a multi-criteria analysis for the estimation of offshore wind potential and site selection using QGIS software (QGIS Desktop 3.28.6). The criteria include wind velocity, water depth, distance from nature conservation areas, distance from submarine cables
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Zalhaf, Amr S., Bahaa Elboshy, Kotb M. Kotb, et al. "A High-Resolution Wind Farms Suitability Mapping Using GIS and Fuzzy AHP Approach: A National-Level Case Study in Sudan." Sustainability 14, no. 1 (2021): 358. http://dx.doi.org/10.3390/su14010358.

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Wind energy is one of the most attractive sustainable energy resources since it has low operation, maintenance, and production costs and a relatively low impact on the environment. Identifying the optimal sites for installing wind power plants (WPPs) is considered an important challenge of wind energy development which requires careful and combined analyses of numerous criteria. This study introduces a high-resolution wind farms suitability mapping based on Fuzzy Analytical Hierarchy Process (FAHP) and Geographic Information System (GIS) approaches considering technical, environmental, social,
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Erkurtulmus, Selahattin Alp, and Emre Pesman. "GIS-based floating offshore wind turbine installation site selection using fuzzy analytic hierarchy process in northeast Aegean Sea." Brodogradnja 75, no. 2 (2024): 1–21. http://dx.doi.org/10.21278/brod75204.

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The ever-increasing consumption of electrical energy due to increasing requirements arising in parallel with the developing technology forces manufactures and users to seek new and environmentally compatible energy resources. Due to it endless energy potential and continuity, wind energy, which has been used by humanity for various purposes for centuries, continues its journey, which started with windmills that transform one form of mechanical energy into another, with offshore wind energy turbines. In this study, installation site selection, which is the first step for floating offshore wind
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Unel, Fatma Bunyan, Lutfiye Kusak, and Murat Yakar. "GeoValueIndex map of public property assets generating via Analytic Hierarchy Process and Geographic Information System for Mass Appraisal." Aestimum 82 (December 8, 2023): 51–69. http://dx.doi.org/10.36253/aestim-14110.

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The aim of this study is to develop a value-based GeoValueIndex with AHP weights and GIS for the criteria of the Mersin University (MEU) Çiftlikköy Campus real properties, and it is referred to as the “GeoValueIndex” in this study. GeoValueIndex is a symbolic value that combines geographic and non-geographic features of real properties. The data of the real properties on the campus were collected and arranged for mass appraisal. One of the Multi Criteria Decision Analysis (MCDA) methodologies, Analytic Hierarchy Process (AHP), was used to weight the criteria. GeoValueIndex was calculated by mu
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Yousefi, Hossein, Saheb Ghanbari Motlagh, and Mohammad Montazeri. "Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran." Sustainability 14, no. 13 (2022): 7640. http://dx.doi.org/10.3390/su14137640.

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Selecting the best place for constructing a renewable power plant is a vital issue that can be considered a site-selection problem. Various factors are involved in selecting the best location for a renewable power plant. Therefore, it categorizes as a multi-criteria decision-making (MCDM) problem. In this study, the site selection of a wind power plant is investigated in a central province of Iran, Semnan. The main criteria for classifying various parts of the province were selected and pairwise compared using experts’ opinions in this field. Furthermore, multiple restrictions were applied acc
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Elmahmoudi, F., O. E. K. Abra, A. Raihani, O. Serrar, and L. Bahatti. "Elaboration of a Wind Energy Potential Map in Morocco using GIS and Analytic Hierarchy Process." Engineering, Technology & Applied Science Research 10, no. 4 (2020): 6068–75. https://doi.org/10.5281/zenodo.4016252.

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The construction of a wind power generation center starts by the selection of a suitable wind farm location. The selection includes six factors, namely wind speed, slope, land use, distance from the power lines, distance from the roads, and distance from populated areas which have been integrated into QGIS by weights calculated using the Analytical Hierarchy Process (AHP) approach. As a result of this study, the areas having very high wind potentiality have been identified and a best wind farm location map has been prepared. The map, using the overlay function in GIS, exhibits the most and lea
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Tahri, Meryem, Mohamed Maanan, Mehdi Maanan, Hassan Bouksim, and Mustapha Hakdaoui. "Using Fuzzy Analytic Hierarchy Process multi-criteria and automatic computation to analyse coastal vulnerability." Progress in Physical Geography: Earth and Environment 41, no. 3 (2017): 268–85. http://dx.doi.org/10.1177/0309133317695158.

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This paper presents an integrated method to assess the vulnerability of coastal risks by applying the Fuzzy Analytic Hierarchy Process (FAHP) and spatial analysis techniques with a geographic information system (GIS). The coast of Mohammedia, located in Morocco, was chosen as the study site to implement and validate the proposed framework by applying a GIS-FAHP-based methodology. Coastal risk vulnerability mapping reflects multi-parametric causative factors such as sea level rise, significan twave height, tidal range, shoreline evolution, elevation, geomorphology and distance to an urban area.
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P. S. Rane and N. N. Firake. "Multi-Criteria Agricultural Land Suitability Analysis for Plantation in Mula River Basin, Rahuri Region by using Remote Sensing & GIS Technology." Journal of Agriculture Research and Technology 49, no. 01 (2024): 43–50. https://doi.org/10.56228/jart.2024.49107.

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The point of this study was primarily focused on the identification of the suitable land for agriculture crop in the Mula River Basin Rahuri Region which is mostly covered by vegetation cover. Analytic hierarchy process with a combination of Geographic information system (GIS) is utilized for the evaluation in which three distinct parameters were chosen. The Analytic hierarchy process with integration of GIS was established very useful for the identification of the suitable site for agriculture. At the end of the evaluation, it was computed that 136.4 km2 (27%) of the study area is highly suit
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Tarife, Rovick, Yosuke Nakanishi, Yicheng Zhou, Noel Estoperez, and Anacita Tahud. "Integrated GIS and Fuzzy-AHP Framework for Suitability Analysis of Hybrid Renewable Energy Systems: A Case in Southern Philippines." Sustainability 15, no. 3 (2023): 2372. http://dx.doi.org/10.3390/su15032372.

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This study proposes an integrated framework for assessing the suitability of renewable energy systems, including wind, solar, hydro and hybrid wind–solar and hydro–solar, in the southern Philippines. The framework employs a combination of the Fuzzy-Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) techniques to evaluate various socio-environmental and techno-economic factors. Several suitability indices were developed and used in the analysis. The criteria used in the analysis are based on a comprehensive literature review and input from experts in renewable energy and m
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Castro, Adalberto Ospino, Carlos Robles-Algarín, Luis Hernández-Callejo, Yecid Muñoz Maldonado, and Amanda Mangones Cordero. "Feasibility Analysis of Offshore Wind Power Projects in the Caribbean Region of Colombia: A Case Study Using FAHP–GIS." Sustainability 15, no. 24 (2023): 16620. http://dx.doi.org/10.3390/su152416620.

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Planning for offshore wind energy projects is intricate due to the consideration of multiple variables in identifying optimal project areas. The primary challenge lies in locating suitable sites, a process that often necessitates extensive feasibility studies spanning several years. The primary goal of this study is to apply the Fuzzy Analytic Hierarchy Process (FAHP) to prioritize criteria and sub-criteria, facilitating decision-making in choosing appropriate locations for offshore wind projects in the Colombian Caribbean Sea. The weights derived from FAHP were utilized in a Geographic Inform
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Dissertations / Theses on the topic "Wind turbine, geographic information system, multi-criteria analysis, analytic hierarchy process"

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Thyr, Erik. "Bostadsplanering i en mindre kommun : Lokalisering baserad på GIS-analys och Multikriterieanalys." Thesis, Högskolan i Gävle, Samhällsbyggnad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-34259.

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In an ever-changing world as ours, the population increases rapidly. There will be great challenges for urban planning when it comes to finding effective, optimized and sustainable solutions. The city planners must find the most optimal way of land usage and one way of reaching this can be obtained through a land-suitability analysis. Land-suitability analysis can be described as a combination of both Geographic information system (GIS) and Multi-criteria analysis (MCA) and is used to obtain the most optimal position for a specific land usage, e.g. residential areas. GIS and MCA can both be us
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Book chapters on the topic "Wind turbine, geographic information system, multi-criteria analysis, analytic hierarchy process"

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Colak, Arife Tugsan Isiacik, Hamid Reza Soltani Motlagh, Gizem Senel, and Cigdem Goksel. "Offshore Wind Turbine Site Selection in the Northern Aegean Sea by Utilizing GIS-Based Maritime Spatial Planning and Exergy Efficiency." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7303-0.ch005.

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Maritime spatial planning (MSP) is a mechanism of supporting adaptive decision making in response to possible conflicts over offshore wind turbine locations. The main purpose of this study is to determine the location of potential offshore wind turbine sites in the Northern Aegean Sea in Turkey by creating a geographical information systems-based marine spatial planning system for the region. A decision model has been proposed in which GIS and multi-criteria decision-making techniques are used to determine alternative areas. While the analytic hierarchy process (AHP) was utilized to identify viable sites based on several essential physical factors in this study, the Fuzzy TOPSIS approach was used to compare the Gökçeada, Bozcaada, and Enez study regions and find the optimal area. In the final stage, the areas where offshore wind turbine's locations are calculated are energy and exergy efficiency.
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Ali Khan, Mujahid, Rizwan Ahmad, and Haris Hasan Khan. "Multi-Criteria Land Suitability Analysis for Agriculture Using AHP and Remote Sensing Data of Northern Region India." In Geographic Information System [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102432.

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The purpose of this study was to identify adequate agricultural sites in Punjab’s Northern region India district (India). This research employed the “Analytic Hierarchy Process (AHP)” approach, which is extensively used in land use appropriateness studies. Great soil type, land use, land cover, soil moisture, slope, aspect, elevation, drainage, geology, and geomorphology were all incorporated into the application. The ranks of influencing criteria were calculated using expert judgments and correlation analysis, while the weights were determined using a pairwise comparison matrix. The scores for sub-parameters with internal variations in the criteria assigned based on field work and published norms. The study area is considered to be highly appropriate for agricultural production in 41.2% (39044.28 ha), moderately suitable in 14.3% (13498.76 ha), and marginally suitable in 4.2% (3993 ha). Furthermore, it was discovered that 1.9% of the land is now unfit for agricultural production (1766.6 ha), while 38.4% of the area is permanently unsuitable (36372.6 ha). The following facts were also discovered to be important in achieving these results: a large portion (approximately 45%) of the study area is covered with forests, built-up areas, and water bodies, the soil depth is insufficient for agricultural production, the slope in the study area is quite steep, and thus the erosion degree is high.
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Sinha, Suman. "Crisp and Fuzzy AHP in GIS-MCDA for Wildlife Habitat Suitability Analysis." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-5027-4.ch001.

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Geographic information system-based multi-criteria decision analysis (GIS-MCDA) is a process of decision making where geographical data and value judgments are integrated. Analytic hierarchy process (AHP) is a useful technique in MCDA for determining weights. This study focuses on the evaluation of GIS-MCDA using different uncertainty levels in AHP. Best suitable sites for tiger habitats are located and analyzed in Sariska Wildlife Reserve, India using crisp and fuzzy AHP in GIS-MCDA, and thereafter, an optimal habitat suitability model is proposed. The percentage deviation over the uncertainty levels ranges slightly over 5%. The relative difference between CAHP and FAHP is nearly 2.7%. Chi-square test reveals relationship between the degree of uncertainty and the difference between the maps. For real-world situations with increased variability, fuzzification is preferred and shows the best results. The worldwide declining status of the tigers is a serious threat to the overall biodiversity, and the methods adopted in this study thus target their conservation and management.
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