Improving heat extraction performance of enhanced geothermal systems: Insights from critical fracture network parameter and multi-objective optimization method

被引:12
|
作者
Zhang, Xu [1 ]
Huang, Zhaoqin [1 ]
Lei, Qinghua [2 ]
Yao, Jun [1 ]
Gong, Liang [1 ]
Yang, Wendong [3 ]
机构
[1] China Univ Petr East China, Res Ctr Multiphase Flow Porous Media, Qingdao, Peoples R China
[2] Dept Earth Sci, ETH Zurich, Zurich, Switzerland
[3] China Univ Petr East China, Coll Pipeline & Civil Engn, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
Enhanced geothermal system; Fracture network; Coupled thermo-hydro-mechanical processes; Connectivity; Multi-objective optimization; NUMERICAL-SIMULATION; FLUID-FLOW; EGS; CONNECTIVITY; STIMULATION; PERCOLATION; PERMEABILITY; RESERVOIRS; RECOVERY; DESIGN;
D O I
10.1016/j.applthermaleng.2022.118671
中图分类号
O414.1 [热力学];
学科分类号
摘要
The generation of a highly permeable fracture network in Enhanced Geothermal Systems (EGSs) is a prerequisite to develop such geothermal reservoirs efficiently. However, it lacks a quantitative geometrical metric to evaluate what kind of fracture network is preferable for geothermal production. To address this problem, we use our previously developed high-fidelity Thermo-Hydro-Mechanical (THM) coupling model to investigate the joint influence of fracture geometry and thermal stress on the THM behaviors of EGSs. Results show that the geometrical connectivity of fracture networks plays a dominant role in determining the THM processes and the thermal performance of EGSs, in which the network connectivity integrates multiple properties of fracture networks including the fracture length, intensity, location and orientation. Satisfactory thermal performance tends to be achieved when the connectivity of fracture systems ranges from 15 to 35. We focus on such fracture networks and design an appropriate production scenario for optimizing multiple objectives (i.e. maximum EGS service life, heat extraction rate, and global thermal power). The overall heat extraction performance of EGSs under the optimum scenario gets improved by 77.7% compared with the base case. This research provides an effective workflow and feasible methods for evaluating and optimizing energy exploitation efficiency of EGSs.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Performance optimization of latent heat storage device based on surrogate-assisted multi-objective evolutionary algorithm and CFD method
    Zheng, Siyu
    Li, Shuang
    Hu, Chenxing
    Li, Wei
    JOURNAL OF ENERGY STORAGE, 2024, 99
  • [32] New hybrid between SPEA/R with deep neural network: Application to predicting the multi-objective optimization of the stiffness parameter for powertrain mount systems
    Dinh-Nam Dao
    Guo, Li-Xin
    JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2020, 39 (04) : 850 - 865
  • [33] An Enhanced NSGA-II Algorithm with Parameter Categorization for Computational-Efficient Multi-Objective Optimization of Active Glass Curtain Wall Shading Systems
    Tang, Dezhao
    Wang, Zhiyong
    ENERGIES, 2025, 18 (07)
  • [34] Multi-objective optimization of a tubular heat exchanger enhanced with delta winglet vortex generator and nanofluid using a hybrid CFD-SVR method
    Ekrani, Seyed Mahdi
    Ganjehzadeh, Shayan
    Esfahani, Javad Abolfazli
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2023, 186
  • [35] Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity
    Yang, Yang
    Gao, Yuchao
    Wu, Jinran
    Ding, Zhe
    Zhao, Shangrui
    JOURNAL OF BIONIC ENGINEERING, 2024, 21 (05) : 2497 - 2514
  • [36] Coupled thermal-hydraulic investigation on the heat extraction performance considering a fractal-like tree fracture network in a multilateral well enhanced geothermal system
    Zhang, Bo
    Qu, Zhanqing
    Guo, Tiankui
    Sheng, Mao
    Chen, Ming
    Wang, Jiwei
    Wang, Yunpeng
    Guo, Chang
    APPLIED THERMAL ENGINEERING, 2022, 208
  • [37] Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile
    Ran, Longyi
    Babiker, Samah G.
    Singh, Pradeep Kumar
    Alghassab, Mohammed A.
    Vu-Thi-Minh, Ngoc
    Adnan, Myasar Mundher
    Knani, Salah
    AL Garalleh, Hakim
    Alrawashdeh, Albara Ibrahim
    Alharbi, Fawaz S.
    Alotaibi, Hadil Faris
    Riaz, Fahid
    CASE STUDIES IN THERMAL ENGINEERING, 2024, 61
  • [38] Interval Constrained Multi-Objective Optimization Scheduling Method for Island-Integrated Energy Systems Based on Meta-Learning and Enhanced Proximal Policy Optimization
    Jia, Dongbao
    Cao, Ming
    Sun, Jing
    Wang, Feimeng
    Xu, Wei
    Wang, Yichen
    ELECTRONICS, 2024, 13 (17)
  • [39] Enhanced reaction extraction distillation via multi-objective optimization and 4E analysis for sustainable recovery of organic compounds from wastewater
    Wang, Yumeng
    Zhu, Wenguang
    Cheng, Haiyang
    Zhong, Jianhui
    Li, Xin
    Qi, Jianguang
    Wang, Shuai
    Zhu, Zhaoyou
    Wang, Yinglong
    Cui, Peizhe
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 186 : 884 - 894
  • [40] Development of a Multi-Objective optimization framework for Earth-to-Air heat Exchanger Systems: Enhancing thermal performance and economic viability in Moroccan climates
    Sghiouri, Haitham
    Wakil, Marouane
    Charai, Mouatassim
    Mezrhab, Ahmed
    ENERGY CONVERSION AND MANAGEMENT, 2024, 321