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

Şener, Erhan; Şener, Şehnaz

doi:10.3906/yer-2105-18

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…In the study, criteria were first established to identify potential geothermal areas. Six basic indicators were determined in line with literature studies (Şener & Şener, 2021;Li et al, 2023;Tinti et al ,2018;Kiavarz & Jelokhani-Niaraki, 2017;Xu et al, 2021;Meng et al, 2021) and expert opinions. These criteria are; "Proximity to fault line, Drainage density, Proximity to existing resources, Land surface temperature, Slope and Geological formation".…”

Section: Resultsmentioning

confidence: 98%

Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis

Gümüş,

Durduran

2024

TUZAL

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Energy is a critical element for environmental sustainability and community life. In this context, energy production and consumption are complex processes that can have significant impacts on the environment. Today, one of the main challenges that countries face in their economic and social development efforts is to ensure access to cheap, clean and reliable energy resources. Especially the damages caused by fossil fuels and major environmental problems such as global warming increase the need for renewable energy sources. At this point, the importance of renewable energy resources is emphasized and research on the effective use of these resources is drawing attention every day. Turkey is among the richest countries in the world in terms of geothermal energy potential. Our country has great geothermal potential, ranking first in Europe and seventh in the world. Seydişehir district of Konya province is a residential area that has attracted attention in recent years with its geothermal energy potential and developments in the field of thermal tourism and the process of exploring geothermal areas is ongoing. In this study, the Analytic Hierarchy Process (AHP) method, which is a GIS-based Multi-Criteria Decision Analysis method (MCDA), was used to identify potential geothermal areas. All criteria used for the AHP method were determined by taking expert opinion and literature research. The potential geothermal map of the region was produced by combining the weighted layers of the standardized data according to AHP. With such a study, it is foreseen that the geothermal potential areas identified in the region will constitute an important infrastructure inventory for local governments and decision-makers in terms of evaluating and developing geothermal resources and providing suggestions for investments to be made in order to bring the maximum capacity to the national economy.

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Section: Resultsmentioning

confidence: 98%

Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis

Gümüş,

Durduran

2024

TUZAL

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“…Consequently, the evaluation results fail to comprehensively account for various factors and lack accuracy in optimizing outcomes [16,17,29,30]. The analytic hierarchy process (AHP) is a widely used decision-making method that has been applied mainly in geothermal energy suitability analysis and geothermal resource potential evaluation [31][32][33]. In this study, we propose combining neural network techniques with AHP to optimize the EGS production plan, aiming to enhance power generation performance.…”

Section: Introduction Backgroundmentioning

confidence: 99%

Using Particle Swarm Optimization with Backpropagation Neural Networks and Analytic Hierarchy Process to Optimize the Power Generation Performance of Enhanced Geothermal System (EGS)

Zhou,

Yan,

Zhang

et al. 2024

Water

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The optimization of the production scheme for enhanced geothermal systems (EGS) in geothermal fields is crucial for enhancing heat production efficiency and prolonging the lifespan of thermal reservoirs. In this study, the 4100–4300 m granite diorite stratum in the Zhacang geothermal field was taken as the target stratum to establish a numerical model of water-heat coupling of three vertical wells. However, relying solely on numerical simulation for optimization is time-consuming and challenging for the determination of the globally optimal production plan. The present study proposes a comprehensive evaluation method for optimizing the performance of EGS power generation based on the integration of particle swarm optimization with backpropagation neural network (PSO-BPNN) and analytic hierarchy process (AHP). Five different PSO-BPNN models were constructed based on the numerical simulation data to predict different EGS power generation performance indexes, including the production temperature, the injection pressure, the total electricity generation, the electric energy efficiency and the levelized cost of electricity. Based on these PSO-BPNN models, the weights of various thermal development evaluation indexes were calculated by AHP to conduct a comprehensive evaluation of the power generation performance of the three vertical wells EGS. The results show that the PSO-BPNN model has good prediction accuracy for EGS prediction of various performance indicators, with a coefficient of determination (R2) exceeding 0.999. The AHP evaluation of all production schemes reveals that the optimal power generation scheme entails a well spacing of 580 m, water injection rate of 56 kg/s, injection temperature of 38 °C and fracture permeability of 2.0 × 10−10 m2. Over a span of 30 years, this scheme can provide a total power generation capacity amounting to 1775 GWh, with an associated LCOE value of 0.03837 USD/kWh. This not only provides a reference for the development and optimization of geothermal systems in the Zhacang geothermal field but also provides a new idea for the optimization design of other geothermal projects.

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GIS-based multi-criteria decision making under Silica Saturation Index (SSI) for selecting the best direct use scenarios for geothermal resources in Central and Southern Rift Valley, Kenya

Ng'ethe

Jalilinasrabady

2023

Geothermics

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

Cited by 4 publications

References 27 publications

Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis

Determination of Potential Geothermal Areas in Konya Seydişehir District Using GIS-based Multi-Criteria Decision Analysis

Using Particle Swarm Optimization with Backpropagation Neural Networks and Analytic Hierarchy Process to Optimize the Power Generation Performance of Enhanced Geothermal System (EGS)

GIS-based multi-criteria decision making under Silica Saturation Index (SSI) for selecting the best direct use scenarios for geothermal resources in Central and Southern Rift Valley, Kenya

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