Geothermal resource assessment of the Gediz Graben utilizing TOPSIS methodology

Cambazoğlu, Selim; Yal, Gözde Pınar; Eker, Arif Mert; Şen, Osman; Akgün, Haluk

doi:10.1016/j.geothermics.2019.01.005

Cited by 18 publications

(7 citation statements)

References 42 publications

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“…In present study geothermal potential exploration of the Ağrı province was performed using GIS based Fuzzy AHP method. Five different criteria were determined taken into consideration characteristics of the study area and also international literature (Yousefi et al, 2007;Yousefi et al, 2010;Tüfekçi et al, 2010;Noorollahi et al, 2015;Yalçın and Gül, 2017;Macharia et al, 2018;Cambazoğlu et al, 2019, Abuzied et al, 2020Meng et al, 2021). Geological formations, hot / mineral springs, lineaments, land surface temperature and hydrothermal alteration zones were analyzed to detect the presence of potential geothermal resources in the study area.…”

Section: Methodology and Analysismentioning

confidence: 99%

“…Countries around the world are turning to alternative energy sources in order to meet the energy needed by the rapidly increasing population and developing industry (Noorollahi et al, 2008;Yousefi et al, 2010;Cambazoğlu et al, 2019). In Turkey, comprehensive researches are carried out to discover geothermal resources, which are a renewable energy source that can replace conventional energy resources, and to find the maximum utilization ways from them (Şimşek, 2003;Sanlıyüksel and Baba, 2011;Pasvanoğlu, 2013;Demer and Memiş, 2015;Yalçın and Gül, 2017;Baba et al, 2019;Tut Hakkıdır and Özen Balaban, 2019;Tut Haklıdır et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is possible to determine the potential of very large areas in a short time and economically. GIS-based multi-criteria decision-making analyzes are used by different researchers in the exploration of geothermal resources in our country as well as in the world (Tüfekçi et al, 2010;Noorollahi et al, 2015;Yalçın and Gül, 2017;Cambazoğlu et al, 2019;Abuzied et al, 2020;Brahim et al, 2020;Bilić et al, 2020;Meng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Exploration of geothermal potential using integrated fuzzy logic and analytic hierarchy process (AHP) in Ağrı, Eastern Turkey

Şener¹,

Şener²

2021

Turkish J Earth Sci

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The demand for energy is increasing day by day worldwide due to population growth, industrialization and rising living standards. Geothermal energy, one of the alternative energy sources, is preferred in terms of providing environmentally friendly, quality and regular energy.Our country is rich in geothermal resource potential. However, there are still many unexplored geothermal resources. In this study, fuzzy-AHP method was used to determine the geothermal potential of Ağrı province. Five criteria such as geological formations, hot / mineral springs, lineaments, land surface temperature and hydrothermal alteration zones were evaluated to determine the having geothermal potential. The maps of lineament, land surface temperature and hydrothermal alteration zones were prepared using Landsat 8 OLI/TIRS satellite images.Each criterion was weighted with the fuzzy-AHP method, analyzed in the GIS environment, and the geothermal potential index (GPI) of the study area was calculated. As a result, areas with very high, high, medium and low geothermal potential were determined in the study area.According to the GPI map of the study area, Ağrı provincial center, Patnos, Eleşkirt and Doğubayazıt regions have high geothermal potential. In addition, the known geothermal fields in the study area have been identified as areas with very high geothermal potential. These data reveal the accuracy of the study and used method.

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Section: Methodology and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploration of geothermal potential using integrated fuzzy logic and analytic hierarchy process (AHP) in Ağrı, Eastern Turkey

Şener¹,

Şener²

2021

Turkish J Earth Sci

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“…Many researchers have used MCDM methods to determine geothermal project site location and, more precisely, for the weighting of selection criteria as well as the ranking of potential locations [37]. They have also been used to assess and rank potential geothermal power plant sites in different countries [38]. This section briefly reviews existing studies that have used MCDM methods to assess potentially suitable locations for geothermal projects: Ramazankhani et al [1] used the DEA method to rank 14 Iranian provinces according to adaptability to geothermal-powered hydrogen production.…”

Section: Mcdm Methods In the Assessment Of Geothermal Projectsmentioning

confidence: 99%

“…The paper identified the Puga field as the most important geothermal field in the studied region. Cambazoglu et al [38] used a GIS framework and the TOPSIS method to examine the potential of geothermal sources in Gediz Graben, Turkey and showed that 76% of the examined geothermal wells were of the two most favourable classes in terms of suitability. An article by Raos et al [43] examined the main features of MCDM tools for the economic and environmental assessment of geothermal projects.…”

Section: Mcdm Methods In the Assessment Of Geothermal Projectsmentioning

confidence: 99%

A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan

et al. 2020

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In recent decades, many countries have shown a growing interest in the use of renewable energies for power generation. Geothermal energy is a clean and environmentally friendly source of renewable energy that can be used to produce electricity and heat for industrial and domestic applications. While Afghanistan has undeniably good geothermal potential that can be utilised to alleviate the country’s current energy limitations, so far this potential has remained completely untapped. In this study, the suitability of 21 provinces for geothermal project implementation in Afghanistan was evaluated using multiple multi-criteria decision-making (MCDM) methods. The stepwise weight assessment ratio analysis (SWARA) method was used to weigh each criterion while the additive ratio assessment (ARAS) method was used to rank potential geothermal sites. The technique for order of preference by similarity to ideal solution (TOPSIS), the vlse kriterijumsk optimizacija kompromisno resenje (VIKOR), and the weighted aggregated sum product assessment (WASPAS) methods were also used in this study. These rankings were then examined via sensitivity analysis which indicated that a 5% change in criteria weights altered the rankings in all methods except the VIKOR method. Volcanic dome density was ranked the most important criteria. All the methods identified Ghazni province as the most suitable location for geothermal project implementation in Afghanistan.

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Mapping the spatial distribution of fossil geothermal manifestations and assessment of geothermal potential of the Tangyin rift, Southeast of Taihang Mountain in China

Mahwa

Ping

et al. 2022

J. Mt. Sci.

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The spatial prediction of geothermal sites along the southeast side of Taihang Mountain in the Tangyin rift is a critical goal in the development of renewable energy resources in cities such as Hebi in Henan province, which has significant potential for geothermal energy production due to the existence of deep faults and Cenozoic volcano. The study aimed to delineate areas with high geothermal manifestations for detailed geothermal exploration and well-test drilling. To define favorable zones for geothermal potentiality, multi-source datasets were chosen to generate evidence thematic layers that demonstrate the distribution of geothermal anomalies such as geologic maps, structural maps, Land Surface Temperature maps (LST), and hydrothermal mineral alterations maps. The remote sensing and Geographical Information System (GIS) approaches were integrated to map fossil geothermal manifestations and appraise the promising geothermal zones from Landsat 8 OLI/TIRS and Advanced Spaceborne Thermal Emission and Reflection Radiometer-Digital Elevation Model (ASTER-DEM) dataset using the Analytic Hierarchy Process (AHP), which is one of the Mult-criteria Decision Making methods. Results show LST values ranging from 22.6°C to 45.4°C, with the highest values found along the faults and volcanic areas. The hydrothermal alteration minerals discriminated from band ratios of 4/2, 6/5, and 6/7 for iron oxide, ferrous minerals, and clays reveal the presence of high amount of montmorillonite and illite minerals along the faults and volcanoes which are related to hot fluid circulation from subsurface. Structural analysis shows that the major structural trend follows the NNE Tangdong and Tangxi faults, with high density on the west side of the Tangxi fault where there is good exposure of outcrop but less fault density on the east side due to sedimentation in a low land which may conceal geological structures. Lastly, all the thematic layers of geothermal factors were reclassified, ranked, and integrated by the weight overlay logic model based on the influence of geothermal suitability to map potential areas for geothermal resources whereby 5 zones were obtained ranging from very poor to very good. The promising potential sites are mostly found along the highly deep structures of the major Tangxi fault crosscutting the permeable lithology of carbonate rocks and around the Hebi volcanoes. The distribution of hot springs and geothermal wells of the Hebi field were correlated and verified against the potential geothermal anomalies map. The overall integrated method proposes an advanced technique for designing the Tangyin rift’s exploration plan and development actions for geothermal resources utilization, which can be used for exploration of any unveiling geothermal potential sites.

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Geothermal resource assessment of the Gediz Graben utilizing TOPSIS methodology

Cited by 18 publications

References 42 publications

Exploration of geothermal potential using integrated fuzzy logic and analytic hierarchy process (AHP) in Ağrı, Eastern Turkey

Exploration of geothermal potential using integrated fuzzy logic and analytic hierarchy process (AHP) in Ağrı, Eastern Turkey

A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan

Mapping the spatial distribution of fossil geothermal manifestations and assessment of geothermal potential of the Tangyin rift, Southeast of Taihang Mountain in China

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