Quantifying the CO2 Reduction Potential of CO2 Curing over Autoclave Curing for Calcium Silicate Boards: A Carbon Footprint Quantification
Abstract
1. Introduction
2. Materials and Methods
2.1. Goal and Scope Definition
2.2. Production Process Description
2.2.1. Raw Materials and Energy Consumption
2.2.2. Conventional Autoclave Curing Process
2.2.3. CO2 Mineralization Curing Process
2.3. Carbon Emission Factors
2.4. Carbon Emission Accounting Methodology
- Emissions from raw material extraction and transportation
- 2.
- Emissions from fossil fuel combustion
- 3.
- Emissions from purchased electricity and water
- 4.
- Emissions across the entire supply chain of purchased carbon sources
2.5. Measurement of CO2 Sequestration Rate
2.5.1. CO2 Mineralization Curing of Calcium Silicate Boards
2.5.2. CO2 Mineralization Curing of Cement Paste
2.6. Scenario and Uncertainty Analysis
3. Results and Discussion
3.1. CO2 Sequestration Experiment
3.1.1. CO2 Sequestration of Calcium Silicate Boards
3.1.2. CO2 Sequestration of Cement Paste
3.2. Carbon Emissions of Baseline and Project Scenarios
3.2.1. Carbon Emissions Calculation
3.2.2. Uncertainty Analysis
3.2.3. Carbon Reduction Benefits of Replacing Cement with Industrial Solid Waste Combined with CO2 Mineralization Curing
4. Conclusions
- (1)
- The results of the mineralization curing tests on pure cement mortar test specimens validated the reliability of the small dataset on CO2 sequestration rates for calcium silicate boards. Nevertheless, the CO2 sequestration rates measured in experiments with calcium silicate boards still need to be further validated through large-scale or repeated experimental testing.
- (2)
- Replacing autoclave curing with mineralization curing can reduce carbon emissions by 1007 t CO2. When CO2 sequestration is factored in, carbon emissions can be reduced by approximately 3097 t CO2.
- (3)
- The results of the uncertainty analysis indicate that mineralization and curing offer robust emission reduction benefits of at least 977 t CO2, which could reach approximately 2115 t CO2 when CO2 sequestration is factored in.
- (4)
- If 20 ωt% of cement is replaced with industrial solid waste to produce calcium silicate boards that meet physical and mechanical performance standards under mineralization and curing conditions, carbon emission reductions could reach 2497 t CO2.
- (1)
- Empirical Calibration: More accurate data on CO2 sequestration rates and consumption should be obtained through large-scale production line operations. Actual measurement data regarding energy consumption for gas injection, pressure control, circulation systems, safety systems, humidity control, and monitoring systems used in mineralization treatment should be obtained from the production line.
- (2)
- Boundary refinement: Key factors that may affect emissions—such as product scrap rates, equipment energy consumption, gas sources and purity, gas leaks, transportation methods and distances, energy consumption for carbon dioxide capture, and cement emission factors—should be dynamically adjusted within the calculation model.
- (3)
- Unlocking Potential: Conduct in-depth research into the mechanisms of synergistic mineralization of industrial solid waste to maximize the emission reduction benefits of calcium silicate boards, with the aim of achieving the construction industry’s “net-zero emissions” goal.
- (4)
- Engineering Validation: The primary focus should be on verifying that the mineralized panels are equivalent to traditional autoclave-cured panels in terms of mechanical properties and durability. Through industrial trials, strict control must be exercised over product pass rates and long-term service life to establish the safety and reliability of their engineering applications, thereby providing a key technological framework and empirical support for the low-carbon transformation and upgrading of the building materials industry.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Raw Material/Energy | Annual Consumption | Unit |
|---|---|---|
| Cement | 14,550 | tons |
| Quartz Sand | 22,415 | tons |
| Paper Fiber | 2835 | tons |
| Wollastonite | 700 | tons |
| Water/Steam | 1.5 × 104 | tons |
| Natural Gas | 6 × 105 | Nm3 |
| Electricity | 5.5 × 106 | kWh |
| No. | Raw Material/Energy | Carbon Emission Factors |
|---|---|---|
| 1 | Cement | 527.4 kg CO2/t [31] |
| 2 | Quartz Sand | 2.51 kg CO2/t [30] |
| 3 | Wollastonite | 40.7 kg CO2/t [30] |
| 4 | Paper Fiber | 190 kg CO2/t |
| 5 | Transportation of Raw Materials | 0.23 kg CO2/(t·km) [26] |
| 6 | Water | 0.452 kg CO2/t [30] |
| 7 | Natural Gas | 5.61 × 104 kg CO2/TJ [31] |
| 8 | Electricity | 0.2472 kg CO2/kWh [31] |
| Production Level | Electricity Factor (kg CO2/kWh) | Transport Distance (km) | Mineralization Efficiency (%) | CO2 Sequestration Rate (%) |
|---|---|---|---|---|
| Conservative | 0.2472 | 200 | 60 | |
| Backward | 0.3500 | 300 | 40 | |
| Progressive | 0.1500 | 100 | 80 |
| Sample Number | Mass Before Placing in the Oven | After Drying (m0i) | After Carbonation (mi) | Mass of Moisture (mw) |
|---|---|---|---|---|
| 1 | 101.6 | 94.4 | 96.1 | 9.1 |
| 2 | 113.7 | 109.0 | 111.3 | |
| 3 | 93.6 | 89.2 | 91.2 |
| Time (Hours) | 1 | 2 | 4 | 6 | 8 | 16 | |
|---|---|---|---|---|---|---|---|
| Pressure (MPa) | |||||||
| 0.1 | 7.84 | 10.61 | 14.45 | 16.01 | 17.50 | 19.31 | |
| 0.2 | 9.63 | 12.34 | 16.80 | 17.98 | 19.00 | 21.77 | |
| 0.3 | 10.94 | 13.74 | 17.74 | 19.25 | 20.32 | 22.63 | |
| 0.4 | 11.64 | 14.29 | 18.14 | 19.59 | 20.59 | 23.24 | |
| No. | Sources of Carbon Emissions | Baseline Scenario | Project Scenario | ||
|---|---|---|---|---|---|
| Annual Consumption | Carbon Emissions | Annual Consumption | Carbon Emissions | ||
| 1 | Cement | 14,550 t | 7682.40 | 14,550 t | 7682.40 |
| 2 | Quartz Sand | 22,415 t | 56.26 | 22,415 t | 56.26 |
| 3 | Wollastonite | 700 t | 28.49 | 700 t | 28.49 |
| 4 | Paper Fiber | 2835 t | 538.65 | 2835 t | 538.65 |
| 5 | Transportation | 40,500 t × 200 km | 1863.00 | 40,500 t × 200 km | 1863.00 |
| 6 | Water | 1.5 × 104 t | 6.78 | 1.2 × 104 t | 5.424 |
| 7 | Natural Gas | 6 × 105 Nm3 | 1198.63 | 0 | 0 |
| 8 | Electricity | 5.5 × 106 kWh | 1359.60 | 5.5 × 106 kWh | 1359.60 |
| 9 | CO2 | 0 | 0 | 3483 | 192.80 |
| TOTAL | 12,733.81 t CO2 | 11,726.63 t CO2 | |||
| Production Level | Baseline Scenario | CO2 Storage Capacity | Project Scenario | Emission Reduction | Net Emission Reduction |
|---|---|---|---|---|---|
| Backward | 14,230.71 | 1138.05 | 13,253.44 | 977.27 | 2115.32 |
| Conservative | 12,733.81 | 2089.80 | 11,726.63 | 1007.28 | 3097.08 |
| Progressive | 11,267.71 | 3377.70 | 10,209.93 | 1057.79 | 4435.49 |
| CO2 Sequestration Rate | CO2 Consumption | Carbon Emissions | Net Carbon Emissions | Emission Reduction | Net Emission Reduction |
|---|---|---|---|---|---|
| 5.16% | 3483.00 | 10,236.49 | 8146.69 | 2497.33 | 4587.13 |
| 8.00% | 5400.00 | 10,343.03 | 7103.03 | 2390.79 | 5630.79 |
| 10.00% | 6750.00 | 10,418.06 | 6368.06 | 2315.76 | 6365.76 |
| 15.00% | 10,125.00 | 10,605.63 | 4530.63 | 2128.18 | 8203.18 |
| 20.00% | 13,500.00 | 10,793.21 | 2693.21 | 1940.61 | 10,040.61 |
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Ma, Z.; Bai, F.; Fang, J.; Chen, G.; Ye, J.; Shi, X. Quantifying the CO2 Reduction Potential of CO2 Curing over Autoclave Curing for Calcium Silicate Boards: A Carbon Footprint Quantification. Buildings 2026, 16, 2566. https://doi.org/10.3390/buildings16132566
Ma Z, Bai F, Fang J, Chen G, Ye J, Shi X. Quantifying the CO2 Reduction Potential of CO2 Curing over Autoclave Curing for Calcium Silicate Boards: A Carbon Footprint Quantification. Buildings. 2026; 16(13):2566. https://doi.org/10.3390/buildings16132566
Chicago/Turabian StyleMa, Zhiqin, Feng Bai, Jingrui Fang, Ge Chen, Junhao Ye, and Xinchao Shi. 2026. "Quantifying the CO2 Reduction Potential of CO2 Curing over Autoclave Curing for Calcium Silicate Boards: A Carbon Footprint Quantification" Buildings 16, no. 13: 2566. https://doi.org/10.3390/buildings16132566
APA StyleMa, Z., Bai, F., Fang, J., Chen, G., Ye, J., & Shi, X. (2026). Quantifying the CO2 Reduction Potential of CO2 Curing over Autoclave Curing for Calcium Silicate Boards: A Carbon Footprint Quantification. Buildings, 16(13), 2566. https://doi.org/10.3390/buildings16132566
