Article
Thermodynamics
Kaixuan Wang, Zaobao Liu, Tao Zeng, Fei Wang, Wanqing Shen, Jianfu Shao
Summary: This paper investigates the heat extraction performance of an enhanced geothermal system (EGS) under the influence of injection-production parameters and reservoir properties. A thermal-hydro-mechanical (THM) coupled model is used to quantify the complicated heat extraction process, and three-dimensional geothermal reservoir models are established to study the impact of fracture numbers. The results show the importance of optimizing fractures and the dominance of injection mass flow rate, fracture permeability, and injection temperature in affecting heat extraction performance. The findings have practical implications for the efficient construction and operation of EGS.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Bo Zhang, Tiankui Guo, Zhanqing Qu, Jiwei Wang, Ming Chen, Xiaoqiang Liu
Summary: A coupled thermo-hydro-mechanical-damage (THMD) model was used to investigate hydraulic fracturing and production performance in a fractured geothermal reservoir. It was found that natural fractures (NFs) influence the propagation of hydraulic fractures, acting as the main channel for heat transfer. Fluid viscosity and injection flow rate are the main factors affecting fracturing and production performance. These results provide a theoretical basis for the optimal design of enhanced geothermal systems.
Article
Green & Sustainable Science & Technology
Muhammad Haris, Michael Z. Hou, Wentao Feng, Faisal Mehmood, Ammar bin Saleem
Summary: This study proposed an innovative concept of Enhanced Geothermal Systems (EGS) that integrates heat and electricity production with the storage of surplus renewable energy. Numerical simulations and coupled thermo-hydro-mechanical (THM) modeling were performed to investigate the evolution of fluid and heat transmissivity and optimize thermal production. The results showed a decrease in electric potential and the Levelized Cost of Electricity (LCOE), indicating the economic feasibility of the proposed EGS, and suggested several schemes for energy storage to extend the life of geothermal power plants.
Article
Thermodynamics
Saeid Jalilinasrabady, Toshiaki Tanaka, Ryuichi Itoi, Hiroki Goto
Summary: The numerical model developed for the Takigami geothermal reservoir accurately reproduced the initial temperature profiles of 13 wells located mainly in the production area. The prediction simulation considered two development scenarios, indicating no direct interaction between reinjection and production zones in the Takigami reservoir. The study concluded that installing a binary plant would not have a severe impact on reservoir performance.
Article
Thermodynamics
Manojkumar Gudala, Suresh Kumar Govindarajan, Bicheng Yan, Shuyu Sun
Summary: This study proposes an improved mathematical model to investigate the temperature variations and mechanical strain in the Puga geothermal reservoir. It is found that there are low-temperature regions within the fractures, and the number of hydraulic fractures and well patterns significantly influence the rock and fluid properties. The proposed mathematical model can effectively evaluate and predict the changes in the reservoir.
Review
Energy & Fuels
Ning Li, Heping Xie, Jianjun Hu, Cunbao Li
Summary: This article comprehensively reviews the latest research progress on cyclic hydraulic fracturing (CHF), clarifies six CHF cyclic loading schemes, and discusses the stimulation results. It is difficult to evaluate the advantages and disadvantages of different loading schemes, but confining pressure and fracturing fluid viscosity are key factors affecting the stimulation results of CHF. In addition, through the review and discussion of existing theoretical and numerical models, some aspects for further understanding the failure mechanism of CHF are proposed.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Green & Sustainable Science & Technology
Wenjiong Cao, Wenbo Huang, Juanwen Chen, Zhibin Li, Fangming Jiang
Summary: In this paper, a numerical model is developed to study the heat extraction performance in the well-fracture-reservoir combined system. The interaction among well boreholes, fractures, and the base rock reservoir is considered. A novel method to improve heat extraction performance through enhanced permeability is proposed. Results show that fluid flow path and pressure distribution are determined by well layout and fracture network. An optimized scheme for heat extraction is proposed based on the near-well enhancement approach and shows significant improvement in performance. This work provides a feasible improvement scheme for Enhanced or Engineered Geothermal Systems (EGS).
Article
Computer Science, Interdisciplinary Applications
Yulong Liu, Zixu Hu, Tianfu Xu, Bo Feng, Yilong Yuan, Pengju Xing
Summary: A seismic-fracturing model with a discrete fracture network (DFN) was developed to study how to increase stimulated reservoir volume (SRV) while reducing seismic risks at the FORGE site in Utah. The study found that the fluid channeling effect between each segment is the main reason for uneven fracture growth in horizontal wells. To solve these problems, a novel hydraulic fracturing method with a differentiated-stage, variable-injection volume suitable for multi-fracturing of horizontal wells in hot dry rock (HDR) was proposed.
COMPUTERS AND GEOTECHNICS
(2023)
Review
Energy & Fuels
Xiang Gao, Tailu Li, Yao Zhang, Xiangfei Kong, Nan Meng
Summary: This paper reviews the heat transfer model for geothermal reservoirs, the fracture network model in reservoirs, and the numerical model of hydraulic fracturing. The stimulated reservoir volume method is found to have advantages in describing the fracture network.
Review
Geosciences, Multidisciplinary
Xianzhi Song, Gensheng Li, Zhongwei Huang, Yu Shi, Gaosheng Wang, Guofeng Song, Fuqiang Xu
Summary: This paper comprehensively reviews geothermal drilling and completion technologies, as well as several fracturing methods. The thermal extraction performances of water and CO2 in geothermal systems are discussed. Several novel heat extraction methods are compared and analyzed, providing suggestions for research fields in geothermal drilling and exploitation.
Article
Thermodynamics
Xiaotian Wu, Yingchun Li, Tianjiao Li, Chun'an Tang
Summary: Fixed-plane-perforation fracturing (PFFP) has been introduced to enhance geothermal system (EGS) and has shown potential to stimulate longer fractures and achieve higher heat extraction compared to single-perforation fracturing (SPF). By using an improved sensitivity indicator, the injection rate is found to significantly affect the fracture network area, while the in-situ stress difference has the greatest impact on heat extraction.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Zhibin Li, Wenbo Huang, Juanwen Chen, Jiwen Cen, Wenjiong Cao, Feng Li, Fangming Jiang
Summary: A novel enhanced super-long heat pipe system (ESLHPS) is proposed to improve the heat transfer rate and thermal performance of the super-long gravity heat pipe (SLGHP) in a single-well geothermal system. An insulation layer is set around the heat pipe to reduce heat loss. The thermal performance of the ESLHPS is found to be dependent on the thermal conductivity, length, and radius of the heat transfer enhanced region.
Article
Thermodynamics
Xiong Zhang
Summary: This study establishes heat transfer and energy conversion models for MDGHP systems, investigates the influence of key design and control parameters on the system's performance, and proposes optimization strategies for system efficiency.
APPLIED THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Zhenjiao Jiang, Siyu Zhang, Chris Turnadge, Tianfu Xu
Summary: By combining the autoencoder neural network with a Bayesian inversion algorithm based on MCMC sampling, this study estimated the spatial distributions of permeability in an enhanced geothermal reservoir using observations from SWIW tests. The methodology achieved rapid stabilization and low permeability estimation error, demonstrating the potential for estimating permeability distributions in geo-energy reservoirs from a limited set of borehole data.
Article
Geosciences, Multidisciplinary
Xiaoyang LI, Yingying Tian, Xin Zhang, Gang Song, Ming Zhao, Jinqiang Liang, Wei Huang, Fanle Meng
Summary: A new gas hydrate reservoir stimulation method using in-situ fracturing with transient heating is proposed. Simulation results show significant improvements in daily efficiency and cumulative gas production compared to traditional methods.
ACTA GEOLOGICA SINICA-ENGLISH EDITION
(2022)
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)