Evaluation and Optimization of Heat Extraction Strategies Based on Deep Neural Network in the Enhanced Geothermal System-Reference-Cited by-同舟云学术

Evaluation and Optimization of Heat Extraction Strategies Based on Deep Neural Network in the Enhanced Geothermal System

Published:2023-02 Issue:1 Volume:149 Page:
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Chen Jingyi¹,Xu Tianfu²,Liang Xu³,Zhang Siyu³

Affiliation:

1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Univ., Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin Univ., Changchun 130021, China (corresponding author).

2. Professor, Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Univ., Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin Univ., Changchun 130021, China.

3. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Univ., Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin Univ., Changchun 130021, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JLEED9.EYENG-4579

Reference59 articles.

1. Numerical simulation of multifracture HDR geothermal reservoirs

2. Sensitivity analysis of deep geothermal reservoir: Effect of reservoir parameters on production temperature

3. A review of surrogate models and their application to groundwater modeling

4. Simulation and optimization of enhanced geothermal systems using CO2 as a working fluid

5. Evolution of the Wairakei geothermal reservoir during 50 years of production

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