2018 Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2013 | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|---|
| Denitrification system - emission concentration | mg/standard m3 | <30 | 19 | ||||
| Denitrification transformation on 30 units | completed | 19 | |||||
| Desulfurization system - emission requirement | mg/standard m3 | 25 | 19 | ||||
| Dust emission | tons | 6400 | 19 | ||||
| Dust emission concentration (de-dusting system) | mg/standard m3 | <5 | 19 | ||||
| Dust emission rate | g/KWh | 0.05 | 0.03 | 0.02 | 0.025 | 29 | |
| Hebei Zhangjiakou Thermal Power Company - average emission concentration of NOx | mg/standard m3 | 31.04 | 19 | ||||
| Hebei Zhangjiakou Thermal Power Company - average emission concentration of SO2 | mg/standard m3 | 15.31 | 19 | ||||
| Hebei Zhangjiakou Thermal Power Company - average emission concentration of dust | mg/standard m3 | 3.79 | 19 | ||||
| Inner Mongolia Tuoketuo Power Generation Company - NOx emissions | tons | 410 | 19 | ||||
| Inner Mongolia Tuoketuo Power Generation Company - SO2 emissions | tons | 4235 | 19 | ||||
| Mangya Wind Power Plant NOX emission reduction | tons | 994.65 | 20 | ||||
| Mangya Wind Power Plant SO2 emission reduction | tons | 663 | 20 | ||||
| Mangya Wind Power Plant ash emission reduction | tons | 13800 | 20 | ||||
| Mangya Wind Power Plant soot emission reduction | tons | 82.88 | 20 | ||||
| NOx emission | tons | 14210 | 19 | ||||
| NOx emission rate | g/KWh | 0.24 | 0.16 | 0.13 | 0.16 | 29 | |
| Total discharge of wastewater | million tons | 1.69 | 19 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|
| CO2 emission | tons | 4600 | 19 | |||
| CO2 emissions (including emissions from desulfurization and purchased electricity) - direct emissions | million tons | 3776 | 19 | |||
| CO2 emissions (including emissions from desulfurization and purchased electricity) - indirect emissions | tons | 700000 | 19 | |||
| Mangya Wind Power Plant CO2 emission reduction | tons | 91300 | 20 | |||
| SO2 emission | kg/kWh | 7749 | 19 | |||
| SO2 emission rate | g/KWh | 0.17 | 0.12 | 0.09 | 0.11 | 29 |
| Ultra-low emission transformation - generating units in operation | units | 68 | 68 | 19 | ||
| Ultra-low emission transformation - total capacity | GW | 30.98 | 30.98 | 19 | ||
| Ultra-low emission transformation of 31 units | completed | 19 | ||||
| Ultra-low emission transformation on 7 units | completed | 19 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Inner Mongolia Tuoketuo Power Generation Company - wastewater discharge | million tons | 1.12 | 19 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Amount of fly ash utilized by Hebei New Energy Company | tons | 447200 | 23 |
| Amount of slag utilized by Hebei New Energy Company | tons | 8747.6 | 23 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Inner Mongolia Tuoketuo Power Generation Company - ultra-low emission control of all 15 units | completed | 19 | |||
| Ultra-low emission transformation - completion rate | % | 95.1 | 97 | 19 | |
| Ultra-low emission transformation on 28 units - completion rate | % | 78.4 | 19 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Comprehensive utilization rate of fly ash by Hebei New Energy Company | % | 81.7 | 23 |
| Comprehensive utilization rate of slag by Hebei New Energy Company | % | 12.36 | 23 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|---|
| Availability coefficient of generating equipment | % | 92.87 | 92.98 | 96.1 | 94.24 | 29 | |
| Coal Consumption for Power Generation | g of standard coal/kWh | 309.27 | 305.72 | 300.68 | 300.65 | 299.71 | 22 |
| Coal consumption for power supply | g of standard coal/KWh | 305.72 | 300.68 | 300.65 | 299.71 | 29 | |
| Company's transaction volume of electricity | TWh | 96.653 | 15 | ||||
| Comprehensive Power Consumption Rate | % | 5.45 | 5.32 | 5.25 | 5.3 | 5.56 | 22 |
| Comprehensive power consumption rate | % | 5.32 | 5.25 | 5.3 | 5.56 | 29 | |
| Electricity generated by the Company | TWh | 14127 | 21 | ||||
| Electricity generation | 100 million kWh | 1697 | 1725 | 2561 | 2697 | 29 | |
| Installed Hydropower Capacity | MW | 5048 | 6070 | 6155 | 8346 | 9205 | 20 |
| Installed PV Power Capacity | MW | 190 | 230 | 350 | 380 | 566 | 20 |
| Installed Wind Power Capacity | MW | 1276 | 1876 | 2033 | 2190 | 2735 | 20 |
| Installed capacity of clean energy and renewable energy (percentage increase) | % | 5.28% | 20 | ||||
| Installed capacity of clean energy and renewable energy (percentage of total) | % | 26.55% | 20 | ||||
| Mangya Wind Power Plant annual on-grid power | GWh | 115.43 | 20 | ||||
| Oil Consumption for Power Generation | ton/hundred million kWh | 2.52 | 2.5 | 2.97 | 2.39 | 5.2 | 22 |
| Oil consumption by the Company | tons | 11300 | 21 | ||||
| On-grid power | 100 million kWh | 1608 | 1635 | 2419 | 2564 | 29 | |
| Proportion of clean and renewable energy | percent | 25.6 | 8 | ||||
| Standard coal consumption by the Company | million tons | 64.861 | 21 | ||||
| Total Installed Capacity | MW | 41341 | 42337 | 44338 | 48031 | 62853 | 20 |
| Total electricity generated by the company | TWh | 269.704 | 15 | ||||
| Total installed capacity | MW | 42337 | 44338 | 48031 | 62853 | 29 | |
| Year-on-year increase in market electricity transacted after the reinstatement of the same period last year | % | 45.77 | 15 | ||||
| Year-on-year increase in power generation after the reinstatement of the same period last year | % | 5.31 | 15 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|---|
| Total water consumption by the Company | million tons | 190.4429 | 21 | ||||
| Waste water emission rate | kg/KWh | 0.03 | 0.027 | 0.026 | 0.035 | 29 | |
| Water Consumption for Power Generation | kg/kWh | 0.88 | 0.85 | 0.86 | 0.85 | 0.88 | 22 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of generating units recognized for outstanding efficiency | 25 | 21 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of environmental protection inspections conducted by governments at the prefecture-level or higher | 133 | 23 | |
| Number of fish fry released by Chongqing Pengshui Hydropower Company | fish | 480000 | 23 |
| Number of fish fry released by Sichuan Ganxi Hydropower Company in Changheba Hydropower Station and Huangjinping Hydropower Station | fish | 324000 | 23 |
| Number of fish fry released by Sichuan Ganxi Hydropower Company in Jinheba and Huangjinping basins along the main stream of Dadu River | million fish | 1.6 | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|
| Coverage of collective contract | % | 100 | 100 | 100 | 100 | 29 |
| Number of female employees | People | 5468 | 4232 | 4081 | 6653 | 29 |
| Number of minority employees | People | 1554 | 1006 | 1076 | 1473 | 29 |
| Number of on-job employees | People | 24704 | 19817 | 20242 | 33483 | 29 |
| Total assets | 100 million Yuan | 2332 | 2789 | 3034 | 2879 | 29 |
| Union membership rate of employees | % | 100 | 100 | 100 | 100 | 29 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of participants in enterprise management and knowhow training | 121882 | 25 | |
| Number of participants in other fields training | 7774 | 25 | |
| Number of participants in production skills training | 251657 | 25 | |
| Number of professional and technical examinations launched | 256 | 25 | |
| Number of professional training programs organized | 9072 | 25 | |
| Number of staff innovation workshops | 30 | 17 | |
| Year-on-year growth in R&D expenditure | % | 3.9 | 17 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Amount invested in staff training | million RMB | 38.1566 | 25 |
| Number of systematic training participants | 358962 | 25 | |
| Research and development (R&D) expenditure | million RMB | 78.86 | 17 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|
| Revenue from principal business operation | 100 million Yuan | 619 | 591 | 833 | 923 | 29 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Increase in number of patents granted compared to previous year | 101 | 17 | |
| Number of patents granted | 287 | 17 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of major science and technology projects - Datang Power level project | 15 | 17 | |
| Number of major science and technology projects - Group company level project | 21 | 17 | |
| Number of major science and technology projects - Sub-project of national project | 2 | 17 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 6400 |
| NOâ‚“ Emissions | tons | 14210 |
| SOâ‚“ Emissions | tons | 4235 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 3776000000 |
| Indirect Energy Emissions (Scope 2) | tons | 700000 |
| Total GHG Emissions | tons | 3776000000 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Hazardous Waste (Slop Water Discharged) | million tons | 1.12 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Non-Hazardous Waste Reused | tons | 447200 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | 78.4 | 95.1 | 97 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|
| Fossil Fuel Consumption | million tons | 2.52 | 2.5 | 2.97 | 2.39 | 64.861 |
| Hydropower Energy | MW | 5048 | 6070 | 6155 | 8346 | 9205 |
| Percentage of Renewable Energy Consumption | percent | 25.6 | ||||
| Solar Energy | MW | 190 | 230 | 350 | 380 | 566 |
| Wind Energy | GWh | 1276 | 1876 | 2033 | 2190 | 2735 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|
| Wastewater Discharge Intensity | kg/kWh | 0.03 | 0.027 | 0.026 | 0.035 | |
| Water Consumption | million tons | 190.4429 | ||||
| Water Consumption Intensity (By Revenue) | kg/kWh | 0.88 | 0.85 | 0.86 | 0.85 | 0.88 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|
| Number of Employees Aged 30-50 | People | 15706 | 12138 | 12450 | 21330 |
| Number of Employees Aged Above 50 | People | 3208 | 2923 | 2934 | 4347 |
| Number of Employees Aged Below 30 | People | 5930 | 4756 | 4858 | 8036 |
| Number of Female Employees | People | 5468 | 4232 | 4081 | 6653 |
| Number of Total Employees | People | 24704 | 19817 | 20242 | 33483 |
| Percentage of Bachelor's Degree Employees | % | 28 | 28 | 28 | 28 |
| Percentage of Below Junior College Employees | % | 23 | 23 | 23 | 23 |
| Percentage of Employees Aged 30-50 | % | 63 | 63 | 63 | 63 |
| Percentage of Employees Aged Above 50 | % | 13 | 13 | 13 | 13 |
| Percentage of Employees Aged Below 30 | % | 24 | 24 | 24 | 24 |
| Percentage of Female Employees | % | 22.1 | 21.4 | 20.2 | 19.9 |
| Percentage of Male Employees | % | 77.9 | 78.6 | 79.8 | 80.1 |
| Percentage of Master's Degree Employees | % | 2 | 2 | 2 | 2 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | None |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours per Employee | 1 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Accumulative Number of Patents Granted | 287 | |
| Number of Patents Granted | 287 |