Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process

Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process

Abstract Numerical simulation is the most commonly used method to predict the power generation capacity of EGS during geothermal energy extraction. However, it is time-consuming to optimize the scheme only by comparing the numerical simulation methods, and it is difficult to determine the globally o...

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Bibliographic Details
Main Authors: Ling Zhou, Jingchao Sun, Yanjun Zhang, Yunjuan Chen, Honglei Lei
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Enhanced geothermal system
Optimization
PSO-GA-BPNN models
Analytic hierarchy process
Production performance
Online Access:https://doi.org/10.1038/s41598-025-07509-1
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https://doi.org/10.1038/s41598-025-07509-1

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