Comparative Numerical Simulation on Heat Transfer Performance of CO2 and Water in Closed-Cycle Geothermal Development Systems
Abstract
1. Introduction
2. Research Area
2.1. Geographical Location and Geological Background
2.2. Stratigraphic and Sandstone Reservoir Characteristics
2.3. Geothermal Field and Terrestrial Heat Flow Regimes
2.4. Integrated Heat Source–Reservoir–Cap Geothermal System
3. Numerical Model of Closed-Loop Geothermal System
3.1. Conceptual Model
- Axial flow dominates the movement of circulating working fluid inside the wellbore, and radial secondary flow is ignored;
- Thermophysical properties of formations and well walls are isotropic to avoid interference from complex anisotropic parameters;
- The circular cross-section of the wellbore is centrally symmetric along its trajectory, a standard simplification for near-wellbore conductive heat transfer modeling, and the 3D geometric model is simplified with the well trajectory as the reference axis;
- The influence of wellbore inclination angle on heat transfer is ignored, focusing on heat transfer dominated by the axial direction;
- Contact thermal resistance between formation layers is neglected, and continuous heat transfer between layers is assumed.
3.2. Definite Solution Conditions
3.3. Initial Parameters
3.4. Model Validation
4. Thermal Performance of Water-Based Systems
4.1. Influence of Injection Temperature on Heat Extraction Performance
4.1.1. Simulation Scheme
4.1.2. Comparative Analysis of Production Temperature and Heat Extraction Power
4.1.3. Analysis of Reservoir Geothermal Field Variation
4.2. Influence of Injection Mass Flow Rate on Heat Extraction Performance
4.2.1. Simulation Scheme
4.2.2. Comparative Analysis of Production Temperature and Heat Extraction Power
4.2.3. Analysis of Reservoir Geothermal Field Variation
4.3. Influence of Wellbore Type on Heat Extraction Performance
4.3.1. Simulation Scheme
4.3.2. Comparative Analysis of Production Temperature and Heat Extraction Power
4.3.3. Analysis of Reservoir Geothermal Field Variation
5. Thermal Performance of CO2-Based Systems
5.1. Influence of Injection Temperature on Heat Extraction Performance
5.1.1. Simulation Scheme
5.1.2. Comparative Analysis of Production Temperature and Heat Extraction Power
5.1.3. Analysis of Reservoir Geothermal Field Variation
5.2. Influence of Injection Mass Flow Rate on Heat Extraction Performance
5.2.1. Simulation Scheme
5.2.2. Comparative Analysis of Production Temperature and Heat Extraction Power
5.2.3. Analysis of Reservoir Geothermal Field Variation
5.3. Influence of Wellbore Type on Heat Extraction Performance
5.3.1. Simulation Scheme
5.3.2. Comparative Analysis of Production Temperature and Heat Extraction Power
5.3.3. Analysis of Reservoir Geothermal Field Variation
5.4. Limitations
6. Conclusions
- Distinct parameter sensitivities. For water, production temperature is positively correlated with injection temperature but negatively correlated with mass flow rate, governed by the heat transfer driving force and fluid residence time. In contrast, CO2 exhibits extremely low sensitivity to injection temperature variations, with its heat extraction power decreasing by only 1.5 kW when the injection temperature rises from 5 °C to 20 °C, indicating superior operational stability.
- Inverse matching preferences. Branched wells are optimal for water, increasing average production temperature by 5.56% and heat extraction power by 7.64% compared to connected wells, while effectively delaying reservoir thermal depletion. Conversely, connected wells are better suited for CO2, as buoyancy effects in branched wells cause uneven flow distribution, preventing the full utilization of deep high-temperature reservoirs.
- Performance compensation requirement. Under identical flow rates, CO2’s heat extraction power is only 80% of water’s due to its lower specific heat capacity. Equivalent heat yield can be achieved only when the CO2 injection flow rate is doubled (e.g., reaching 359.53 kW at 12 kg/s), compensating for its thermodynamic limitations in medium–low temperature reservoirs (≤75 °C). It should be noted that this elevated flow rate requirement for CO2 entails practical challenges including higher pumping energy consumption, stricter downhole phase control for supercritical CO2, and increased operation and maintenance costs, which will be addressed in our future engineering-focused follow-up studies.
- Differentiated geothermal field evolution. Water induces a homogeneous thermal attenuation across the reservoir, where lower injection temperatures and higher flow rates expand the disturbance range. CO2, however, creates a zonal disturbance characterized by an asymmetric pattern of “cooled injection zone and heated production zone” under high flow rates, differing fundamentally from the uniform decline observed with water.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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| Lithology | Density kg/m3 | Permeability ×10−12 m2 | Thermal Conductivity W/(m·°C) | Specific Heat Capacity J/(kg·°C) |
|---|---|---|---|---|
| Sandy gravel | 2000 | 2.2 | 2.1 | 909 |
| Mudstone | 1968 | 0.057 | 2.0 | 922 |
| Silty sandstone | 1850 | 0.8 | 1.8 | 909 |
| Pebbly coarse sandstone | 2000 | 1.3 | 2.1 | 909 |
| Steel casing | 7850 | 44.5 | 475 | |
| Thermal insulation casing | 7850 | 0.26 | 475 |
| Injection Temperature °C | Injection Flow Rate kg/s | Operation Life a |
|---|---|---|
| 5 | 6 | 40 |
| Case | Injection Temperature °C | Mass Flow Rate kg/s |
|---|---|---|
| 1 | 5 | 6 |
| 2 | 10 | 6 |
| 3 | 15 | 6 |
| 4 | 20 | 6 |
| Case | Injection Temperature °C | Mass Flow Rate kg/s |
|---|---|---|
| 1 | 5 | 6 |
| 2 | 5 | 8 |
| 3 | 5 | 10 |
| 4 | 5 | 12 |
| Case | Injection Temperature °C | Injection Mass Flow Rate kg/s | Wellbore Type |
|---|---|---|---|
| 1 | 5 | 6 | Connected Well |
| 2 | 5 | 6 | Branched Well |
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Zhu, Z.; Lei, H.; Li, Z.; Yao, Y.; Li, S.; Yang, J.; Cheng, Y. Comparative Numerical Simulation on Heat Transfer Performance of CO2 and Water in Closed-Cycle Geothermal Development Systems. Energies 2026, 19, 3956. https://doi.org/10.3390/en19173956
Zhu Z, Lei H, Li Z, Yao Y, Li S, Yang J, Cheng Y. Comparative Numerical Simulation on Heat Transfer Performance of CO2 and Water in Closed-Cycle Geothermal Development Systems. Energies. 2026; 19(17):3956. https://doi.org/10.3390/en19173956
Chicago/Turabian StyleZhu, Zhiyong, Heqing Lei, Zhiheng Li, Yonggang Yao, Shengyi Li, Jinhe Yang, and Yuxiang Cheng. 2026. "Comparative Numerical Simulation on Heat Transfer Performance of CO2 and Water in Closed-Cycle Geothermal Development Systems" Energies 19, no. 17: 3956. https://doi.org/10.3390/en19173956
APA StyleZhu, Z., Lei, H., Li, Z., Yao, Y., Li, S., Yang, J., & Cheng, Y. (2026). Comparative Numerical Simulation on Heat Transfer Performance of CO2 and Water in Closed-Cycle Geothermal Development Systems. Energies, 19(17), 3956. https://doi.org/10.3390/en19173956

