AHP-Based Evaluation of the Suitability of Shallow Geothermal Energy Utilization in GSHP System

Dong, Jie; He, Ping; Liu, Honghua; Guan, Yong; Liu, Haisong; Xia, Weiqiang; Dong, Jierui

doi:10.3389/fenrg.2022.859454

Cited by 6 publications

(3 citation statements)

References 22 publications

(18 reference statements)

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“…According to the weight calculation formula in the AHP method, taking the thermal physical properties of geological layers (C) weighting calculation as an example, a judgment matrix is established for thermal conductivity (C1), specific heat capacity (C2) and geothermal gradient (C3). The judgment matrix exhibits consistency and does not require scale adjustments [25]. The judgment matrices and weight results for the attribute layers and factor layers can be found in Tables 3-7.…”

Section: Suitability Zoning For Sge In Jinan Start-up Areamentioning

confidence: 91%

Research on Sustainable Shallow Geothermal Potential in Jinan Start-Up Area, China

Hao,

Ji,

et al. 2023

Energies

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Shallow geothermal energy (SGE), as an important renewable energy, playing an important role in reducing carbon emissions. In order to efficiently and sustainably utilize SGE, field investigation and storage estimation are needed. In this study, the hydrogeological data obtained from the field exploration of Jinan Start-up Area were collected and compiled. By analyzing the geotechnical property data and thermal response test results, the information of geotechnical and thermal properties and underground temperature distribution characteristics were collected. Subsequently, the analytic hierarchy process (AHP) combined with the comprehensive index method (CIM) were used to classify the shallow geothermal potential of Jinan Start-up Area. The entire area was divided into a high-potential area, medium-potential area and general area, of which 92.2% was high-potential area. The preliminary results, combined with the parameters obtained from the testing, indicate that the SGE storage at a borehole depth of 120 m is estimated to be approximately 2.68 × 1012 kJ·K−1, while the heat exchanger power of the buried pipe at the same depth is calculated to be around 1.73 × 105 kW. Finally, suggestions are given for sustainable development and utilization of SGE in this area.

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Section: Suitability Zoning For Sge In Jinan Start-up Areamentioning

confidence: 91%

Research on Sustainable Shallow Geothermal Potential in Jinan Start-Up Area, China

Hao,

Ji,

et al. 2023

Energies

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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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“…In addition, it is closely related to the economy. In order to scientifically evaluate the suitability of SGE development, it is necessary to consider these factors comprehensively and use systematic methods and theories for a comprehensive evaluation [9]. At present, there are many studies on the suitability evaluation methods for the development of SGE in China.…”

Section: Introductionmentioning

confidence: 99%

Application of Variable Weight Theory in the Suitability Evaluation of Regional Shallow Geothermal Energy Development

Wang,

Shi,

Zhai

et al. 2024

Water

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Blindly developing shallow geothermal energy (SGE) may lead to difficulties in reinjection, a low coefficient of performance (COP), and the waste of funds. In order to avoid these problems and improve development efficiency, it is necessary to scientifically conduct a development suitability evaluation and classify the suitability levels before development. This article takes Chengde City, Hebei Province, China as an example and constructs an evaluation index system based on the analysis of regional basic conditions. The Analytic Hierarchy Process (AHP) was used to calculate the constant weight. A Fuzzy C-means Clustering (FCM) analysis was used to determine the critical value of evaluation index classification and the interval threshold of variable weights. The parameters of the variable-weight model were calculated using the method of model backcalculation. Based on the constructed variable-weight model, the suitability of SGE development for groundwater sources in the study area was evaluated, and it was divided into five levels: most suitable area, suitable area, relatively suitable area, less suitable area, and unsuitable area. Through a verification analysis of engineering examples and a comparison with the evaluation results under traditional constant-weight models, it was found that the evaluation results based on variable weight theory have better data discreteness and a higher accuracy. Research has shown that variable-weight models can adjust the weight of each index based on its state value. Through this study, the accuracy of the suitability evaluation for regional SGE development can be improved. This can provide a certain reference for the suitability evaluation of SGE development in other regions.

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AHP-Based Evaluation of the Suitability of Shallow Geothermal Energy Utilization in GSHP System

Cited by 6 publications

References 22 publications

Research on Sustainable Shallow Geothermal Potential in Jinan Start-Up Area, China

Research on Sustainable Shallow Geothermal Potential in Jinan Start-Up Area, China

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

Application of Variable Weight Theory in the Suitability Evaluation of Regional Shallow Geothermal Energy Development

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