We are the first chemical company in Greater China registered on the website of the Task Force on Climate-Related Financial Disclosures as a TCFD supporter, openly supporting TCFD. In accordance with the disclosure framework, we formulate adaptation measures and devise short-, medium- and long-term management goals based on four critical metrics: reduce GHG emissions, improve energy efficiency, establish a climate change risk control mechanism, and identify renewable energy.
In 2019, the total GHG emissions from operating sites in Taiwan and China were 796,817.71 metric tons of CO2e, of which Scope 1 emissions were 155,114.96 metric tons of CO2e, and Scope 2 emissions were 641,702.76 metric tons of CO2e. The Baytown site in the United States conducts inventory of only Scope 1 emissions in accordance with 40 CFR PART 93.30 issued by the government. In 2019, the Scope 1 emissions reached 50,507.3 metric tons of CO2e.
Based on the three-year average emissions per unit product of sites in Taiwan from 2016 to 2018
Short-term: ↓1% in 2022 from the baseline
Medium-term: ↓3% in 2025 from the baseline
Long-term: ↓5% in 2030 from the baseline
The total energy consumption in 2019 reached 9,981,025.05 GJ (including sites in Taiwan, China, and the United States), with 9,980,884.42 GJ of non-renewable energy consumption and 140.64 GJ of renewable energy consumption (the Dashe site in Taiwan is equipped with solar power generation equipment for its own consumption).
The energy consumption per unit product of sites in Taiwan decreases from the previous year:
Short-term: ↓1% in 2022 from the previous year
Medium-term: accumulated ↓5% in 2025
Long-term: ↓1.5% in 2030 from the previous year
In 2019, the water intake and the water intake per unit product were 3,662.64 million liters and 2,527.64 million liters / million tons, respectively. In 2019, the amount of water recovered reached 1,775.23 million liters.
Short-term: The use of recycled water in 2022 accounts for 10% of the total water consumption
Long-term: The use of recycled water in 2030 accounts for 20% of the total water consumption
TCFD performance - Kaohsiung site
A prediction model for chillers is established using machine/deep learning algorithms to analyze power consumption, current, temperature, flow, and other parameters. The optimized model balances the electrical load between the chiller and cooling tower under environmental and process requirements, as well as analyzes the best operating parameters to achieve the goal of energy saving. Note: The annual electricity saving is based on the optimized operations compared with last year’s operational power consumption.
TCFD performance - Huizhou site
The waste heat steam of the original equipment is not utilized effectively. The installation of heat exchangers allowes the waste heat to be used for heating other equipment to reuse water and reduce steam consumption. It is estimated that the medium pressure steam and wastewater discharge can be reduced every year. Note: The annual steam volume saved is based on the energy consumption before and after a project is implemented.