World Green Energy

  1. Introduction Enhanced Geothermal Systems (EGS) represent a promising pathway for sustainable and continuous renewable energy generation. Understanding the natural temperature recovery of geothermal reservoirs after operational shutdown is crucial for evaluating long-term performance and reservoir resilience. This research introduces a numerical simulation framework to investigate post-shutdown thermal regeneration in dual-well geothermal systems, offering valuable insights into energy sustainability, system optimization, and future geothermal deployment strategies. 2. Numerical Modeling Methodology The numerical simulation approach employed in this study integrates heat transfer equations, reservoir properties, and fluid flow dynamics to model temperature evolution after system shutdown. Advanced computational techniques enable accurate prediction of thermal recovery rates and spatial temperature distribution, making the model a reliable tool for geothermal reservoir assessm...

  1. Introduction Understanding the spatial variability of thermodynamic properties in heterogeneous soft rock is essential for accurate geotechnical design and risk assessment. Natural rock formations exhibit significant randomness due to mineral composition, weathering, and structural discontinuities. This research introduces a probabilistic framework combining Random Field Theory and Copula statistical methods to capture spatial uncertainty and dependency structures, offering a more realistic representation of subsurface conditions. 2. Spatial Variability in Heterogeneous Soft Rock Heterogeneous soft rock exhibits complex spatial variability due to geological processes such as sedimentation, diagenesis, and tectonic activity. This variability directly influences mechanical and thermodynamic behavior, making deterministic approaches insufficient. Spatial modeling allows researchers to quantify randomness and understand how material properties change across a rock mass. 3. Ap...

1. Introduction The study on self-healing and sealing technology of fractured geothermal reservoirs focuses on overcoming one of the most critical challenges in geothermal energy extraction—fracture-induced fluid loss and permeability instability. By integrating self-healing materials and intelligent sealing mechanisms, this research aims to enhance reservoir durability, operational efficiency, and long-term sustainability. The topic is significant for advancing clean energy technologies and strengthening the reliability of geothermal systems worldwide. 2. Mechanisms of Self-Healing in Geothermal Reservoirs This topic examines the fundamental physical, chemical, and mechanical mechanisms that enable self-healing within fractured geothermal reservoirs. Research highlights how engineered materials respond to pressure, temperature, and fluid flow to autonomously repair fractures, thereby restoring permeability control and minimizing operational losses. 3. Sealing Technologies for Frac...

  1. Introduction This research introduces a novel standalone TRNSYS Type specifically designed for a patented shallow ground heat exchanger integrated into a dual-source heat pump system. The study addresses existing modeling limitations by offering a simplified yet accurate simulation approach, enabling better performance prediction and system optimization. The research contributes to sustainable energy solutions by advancing geothermal heat exchanger modeling and supporting energy-efficient building applications. 2. Development of the Standalone TRNSYS Type This section focuses on the methodological framework used to develop the standalone TRNSYS Type. It explains the mathematical formulation, thermal assumptions, and boundary conditions required to model the patented shallow ground heat exchanger accurately. The development process emphasizes modularity, computational efficiency, and compatibility with existing TRNSYS libraries, making the model adaptable for future research...

  1. Introduction Hot Dry Rock (HDR) geothermal energy represents a promising frontier in sustainable energy research, offering a reliable and low-carbon alternative to fossil fuels. This study introduces a scientific method for identifying HDR target areas by integrating geological, thermal, and tectonic data. Using Continental China as a case study, the research demonstrates how systematic analysis can improve geothermal resource assessment and support long-term clean energy strategies. 2. Geological Framework Analysis This topic examines the role of geological structures, including fault systems and crustal composition, in determining HDR potential zones. The research emphasizes how stable continental regions with favorable rock properties enhance geothermal heat retention, making them suitable for HDR development. 3. Thermal Characteristics and Heat Flow Understanding subsurface temperature gradients and regional heat flow is essential for HDR exploration. This section discusse...

  1. Introduction This study introduces the feasibility of reinjecting surface water into geothermal dolomite reservoirs in Tianjin, China, focusing on sustainable geothermal energy exploitation. It outlines the significance of reinjection in maintaining reservoir pressure, preventing land subsidence, and enhancing heat recovery while addressing environmental and operational challenges in urban geothermal systems. 2. Geological Characteristics of Dolomite Reservoirs This topic examines the structural and mineralogical properties of dolomite reservoirs, emphasizing porosity, permeability, and fracture systems that influence reinjection efficiency. Understanding these geological parameters is essential for predicting fluid migration, thermal exchange, and long-term reservoir stability in geothermal applications. 3. Surface Water as a Reinjection Medium This section evaluates the feasibility of using surface water for geothermal reinjection, considering chemical compatibility, sc...

  1. Introduction This research focuses on understanding the spatial variability of thermodynamic properties in heterogeneous soft rock formations. By integrating Random Field Theory with Copula Statistical Methods, the study addresses uncertainties inherent in geological materials, providing a probabilistic framework that enhances predictive accuracy and supports reliable engineering decision-making. 2. Heterogeneity in Soft Rock Materials Soft rock formations exhibit significant spatial heterogeneity due to variations in mineral composition, porosity, and moisture content. This topic discusses how such heterogeneity influences thermodynamic behavior and why conventional deterministic approaches often fail to capture realistic material responses. 3. Application of Random Field Theory Random Field Theory is used to represent spatially varying material properties mathematically. This section highlights how random fields model uncertainty, spatial correlation, and scale effects,...