In the carbon reduction process, the essential core of an enterprise lies in its ability for data governance. To implement the ESG energy conservation and carbon reduction policy and fully grasp the electricity consumption condition, the Robotic Process Automation (RPA) technology was introduced in 2022 to automatically capture the monthly electricity consumption data of all units and post offices of Chunghwa Post and analyze the monthly power consumption with a visual and interactive dashboard. In addition, the electricity conservation rate is also calculated for the comparison of that during the same period in the previous year, which allows the unit in charge to make instant control of the electricity consumption of the whole company. This not only effectively reduces the entire time of data collection and inventory of electricity accounts by manpower but also improves the efficiency of electricity management as a whole.
Compared with the electricity consumption in the same period last year
Based on the electricity consumption data collected over the past two years (from 2022 to 2023), the overall electricity consumption rate of Chunghwa Post compared with the previous year was 1.42%, showing significant power conservation effect. To reasonably evaluate the power consumption situation of each office and to rate the fairness of power consumption efficiency, when calculating power consumption, the forementioned factors were excluded, and power conservation rate of the overall power consumption was 3.65% compared with last year, reaching the annual target. It was found in further analysis of the exclusion factors for power consumption that besides sharing electricity bills with other units, electricity consumption was mainly for asset leasing.
Statistics of electricity consumption for exclusion factors
From 2023, to take inventory of and grasp the carbon emission situations, Chunghwa Post installed a data dashboard to convert electricity consumption into carbon emissions. The electricity consumption data collected is multiplied by the electricity carbon emission factor announced annually to convert data into carbon emissions, allowing the unit in charge to grasp the instant carbon emissions from electricity consumption in each office and branch in every month and year.
The calculation formula to convert power consumption into carbon emissions in 2022-2023