Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory
Abstract
:1. Introduction
2. Methods
2.1. Data Collection
2.2. Establishment and Verification of Emissions Inventory
2.3. Establishment of Unequal Relations
2.4. Installed Efficiency
2.5. K-Means Clustering Analysis
2.6. Case Study
3. Results and Discussion
3.1. Production Scale and Emissions Data
3.2. Unit Classification
3.3. Emission Characteristics
3.4. Installed Efficiency
3.5. Energy Conservation and Emissions Reduction Scenario
- (1)
- All <50 MW units were shut down.
- (2)
- The 50–200 MW units met special emission standards (with emission concentrations no greater than 50 (SO2), 100 (NOx), and 20 (PM) mg/m3), with a standard coal consumption for power generation that was no greater than 293 g/kWh.
- (3)
- The 200–350 MW thermal power units met ultra-low emission standards (with emission concentrations no greater than 35 (SO2), 50 (NOx), and 10 (PM) mg/m3), with a standard coal consumption for power generation that was no greater than 293 g/kWh.
- (4)
- The existing 350–600 MW and 600+ MW thermal power units met ultra-low emission standards (as given in item 3), with a standard coal consumption for power generation no greater than 293 and 284 g/kWh when installed capacity was increased by 5% and 10%, respectively. The newly installed units met ultra-low emission standards and the standard coal consumption for power generation by the new thermal power units was no greater than 287 and 270 g/kWh, respectively.
- (1)
- Shutting down the 0–50 MW thermal power units reduced the installed capacity, power generation, and coal consumption by 3.4%, 3.7%, and 8.3%, respectively; the total emissions were reduced by 17.4% (SO2), 10.6% (NOx), 14.2% (PM) and 12.3% (PM2.5).
- (2)
- For the 50–200 MW units, the EE scenario with constant installed capacity and power generation reduced coal consumption by 0.9%; the total emissions by 8.6% (SO2), 5.8% (NOx), 5.9% (PM), and 5.1% (PM2.5).
- (3)
- For the 200–350 MW units, the EE scenario with constant installed capacity and power generation reduced coal consumption by 1.9%; the total emissions were reduced by 38.1% (SO2), 50.4% (NOx), 24.7% (PM), and 25.9% (PM2.5).
- (4)
- For the 350–600 MW units, the EE scenario increased the installed capacity, power generation, and coal consumption by 0.4%, 0.4%, and 0.4%, respectively; the total emissions were reduced by 3.6% (SO2), 6.4% (NOx), 5.0% (PM), and 5.1% (PM2.5).
- (5)
- For the 600+ MW units, the EE scenario increased the installed capacity, power generation, and coal consumption by 2.8%, 2.8%, and 2.1%, respectively; the total emissions were reduced by 12.1% (SO2), 11.7% (NOx), 11.1% (PM), and 11.4% (PM2.5).
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Information Category | Specific Description |
---|---|
Geographic location | City, province and longitude, latitude (°/′/′′) |
Unit information | Unit number, installation thermal capacity, boiler tonnage, construction conditions, construction property, and power generation hours |
Coal consumption construction | Standard coal consumption for power generation, coal consumption, coal quality information (ash content, sulfur content, nitrogen content, mercury content, coal source, and calorific value) |
Flue gas emissions | Flue gas volume, SO2 concentration, SO2 emission rate, NOx concentration, NOx emission rate, PM concentration, and PM emission rate |
Pollutant control | Treatment process, treatment efficiency, emission concentration, and emission load |
Chimney parameters | Height, outlet diameter, outlet temperature, flow rate, and emission pattern |
Installed Capacity | Coal Consumption (103 ton/MW) | SO2 (ton/MW) | NOx (ton/MW) | PM (ton/MW) | PM2.5 (ton/MW) | Cluster |
---|---|---|---|---|---|---|
0–50 | 0.87 | 27.76 | 34.04 | 5.45 | 2.3 | 1 |
50–100 | 0.58 | 10.3 | 15.07 | 2.63 | 1.18 | 2 |
100–150 | 0.54 | 9.92 | 13.1 | 1.78 | 0.87 | 2 |
150–200 | 0.53 | 10.05 | 14.69 | 2.45 | 1.06 | 2 |
200–250 | 0.46 | 4.94 | 13.8 | 1.16 | 0.6 | 5 |
250–300 | 0.4 | 4.84 | 12.33 | 1.17 | 0.62 | 5 |
300–350 | 0.36 | 5.13 | 11.82 | 1.29 | 0.65 | 5 |
350–400 | 0.31 | 3.58 | 11.71 | 1.05 | 0.53 | 4 |
400–450 * | - | - | - | - | - | - |
450–500 * | - | - | - | - | - | - |
500–550 | 0.35 | 2.93 | 12.08 | 1.05 | 0.52 | 4 |
550–600 * | - | - | - | - | - | - |
600–650 | 0.27 | 3.54 | 6 | 0.83 | 0.42 | 3 |
650–700 | 0.26 | 3.18 | 5.28 | 0.81 | 0.4 | 3 |
1000+ | 0.21 | 1.71 | 6.09 | 0.57 | 0.29 | 3 |
Installed Classification (MW) | Scenario | Number of Installed Units | Installed Capacity (MW) | Power Generation (106 MWh) | Coal Consumption (106 ton/a) | SO2 (103 ton/a) | NOx (103 ton/a) | PM (103 ton/a) | PM2.5 (103 ton/a) |
---|---|---|---|---|---|---|---|---|---|
0–50 | BAU | 156 | 1875.5 | 12.2 | 16.4 | 52.1 | 63.8 | 10.2 | 4.3 |
EE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
50–200 | BAU | 41 | 3453.0 | 21.6 | 19.0 | 33.6 | 51.3 | 7.7 | 3.5 |
EE | 41 | 3453.0 | 21.6 | 17.2 | 7.9 | 16.3 | 3.4 | 1.7 | |
200–350 | BAU | 105 | 29,082.0 | 174.3 | 105.0 | 146.8 | 351.3 | 36.7 | 18.6 |
EE | 105 | 29,082.0 | 174.3 | 101.2 | 33.1 | 47.3 | 18.9 | 9.5 | |
350–600 | BAU | 12 | 4830.0 | 27.9 | 15.7 | 16.0 | 46.1 | 5.1 | 2.5 |
EE | 12 | 5071.5 | 29.3 | 16.5 | 5.2 | 7.4 | 1.5 | 0.7 | |
600+ | BAU | 24 | 15,560.0 | 94.0 | 40.3 | 50.0 | 90.7 | 12.4 | 6.2 |
EE | 25 | 17,116.0 | 103.4 | 44.3 | 14.0 | 19.9 | 4.3 | 2.2 |
Scenario Comparison | Installed Capacity (MW) | Power Generation (106 MWh) | Coal Consumption (106 ton/a) | SO2 (103 ton/a) | NOx (103 ton/a) | PM (103 ton/a) | PM2.5 (103 ton/a) |
---|---|---|---|---|---|---|---|
BAU | 54,800.5 | 330.1 | 196.4 | 298.4 | 603.2 | 72.0 | 35.1 |
EE | 54,722.5 | 328.7 | 179.3 | 60.2 | 90.9 | 28.1 | 14.1 |
Ratio | −0.1% | −0.4% | −8.7% | −79.8% | −84.9% | −60.9% | −59.9% |
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Zhang, Y.; Wu, J.; Zhou, C.; Zhang, Q. Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory. Int. J. Environ. Res. Public Health 2019, 16, 938. https://doi.org/10.3390/ijerph16060938
Zhang Y, Wu J, Zhou C, Zhang Q. Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory. International Journal of Environmental Research and Public Health. 2019; 16(6):938. https://doi.org/10.3390/ijerph16060938
Chicago/Turabian StyleZhang, Yu, Jiayu Wu, Chunyao Zhou, and Qingyu Zhang. 2019. "Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory" International Journal of Environmental Research and Public Health 16, no. 6: 938. https://doi.org/10.3390/ijerph16060938