2025

Greenhouse gas inventory report

November 4, 2024

2024 Greenhouse Gas Emissions Inventory Results

Information on institutions conducting greenhouse gas inventories

Organization name, address, business license

Organization name: Lin screw

Address: 16th Floor, No. 159, Songde Road, Xinyi District, Taipei City, Taiwan

Business license: This information is not included in the document and may need to be entered by yourself. 

legal representative

Contact person name: Zheng Mingjie

Contact email: jay.cheng@lndata.com

Contact phone number: 0223948000

Production related industry areas

Lin Screws is engaged in industries involving screw manufacturing and processing and other industrial processes.

Information about the organization’s business operations and production activities and its activity data

The scope and boundaries of the organization’s business activities

The organizational boundaries of this report are set with reference to the requirements and recommendations of ISO14064-1:2018 and the Greenhouse Gas Inventory Protocol. The operational control method is adopted. For the greenhouse gas emissions caused by the facilities managed or under the operational control of the company, the organization will 100% Recognize the column.

The scope of this inventory is Linsuo, and the following addresses are set as the targets of this year's inventory:

Linsuo: No. 16, Floor 1, No. 159, Songde Road, Xinyi District, Taipei City, Taiwan, and its geographical boundaries are shown in Figure 2-1.

[Insert location map of base 1 ]

Figure 2- 1 [ Name of location map of base 1 ]

The size and capacity of the organization, and whether it meets the requirements for greenhouse gas emissions inventory

[ There is no specific scale and production capacity in the document and needs to be filled in by the organization. ]

Emission source

 
3.1 Direct greenhouse gas emissions (Category 1)

The company's direct greenhouse gas emission sources are shown in Table 3-1 . The types of greenhouse gases produced include CO2 , CH4 , N2O , R-401A , HCFC-22/HFC-152a/HCFC-124(53.0/13.0/34.0) , R- 502 , HCFC-22/CFC-115 (48.8/51.2) , HCFC-22 , CHF2Cl, etc., a total of 6 categories.

Table 3-1 Direct greenhouse gas emission sources of Linscrew

The total amount of the company's direct greenhouse gas emissions ( Category 1) in 2024 is 3790.5054 metric tons of CO2e (emissions are rounded to the fourth decimal place ) , accounting for 32.61% of the total emissions . The main emission source of Category 1 is fugitive emissions from man-made systems. The greenhouse gases produced are the largest ones , followed by CO2 . The emissions of Category 1 greenhouse gases are shown in Table 3-2 .

Table 3-2 Greenhouse gas emissions of Lin screw category 1

3.2 Indirect greenhouse gas emissions (categories 2 to 6)

The greenhouse gas inventory implementation team will work with relevant personnel of each unit to identify emission sources based on organizational boundaries before the end of each year [ time entered by the company ] to confirm the company's direct and indirect greenhouse gas emission source inventory projects. However, the materiality of indirect greenhouse gas emission sources is difficult to classify and quantify, and it is difficult to confirm their accuracy. Therefore, the "Significance Assessment Table" is used to identify emission source projects that pose significant risks and opportunities to the company, and priority is given to inventory. The evaluation criteria include the acquisition of activity data, carbon reduction opportunities and emission coefficients, etc. The identification results of significant emission sources are shown in Table 3-3 :

Table 3-3 Evaluation results of significant indirect emission sources of Lin screw

3.2.1 Energy indirect greenhouse gas emissions (Category 2)

Category 2 calculates indirect greenhouse gas emissions from purchased electricity, heat or steam. The company's Category 2 greenhouse gas emissions in 2024 are 7317.3326 metric tons of CO2e (emissions are rounded to the fourth decimal place), accounting for 62.96% of the total emissions .

3.2.2 Energy indirect greenhouse gas emissions (categories three to six )

Categories 3 to 6 are other indirect emissions generated by outsourcing activities. The emission sources are mainly owned or controlled by other companies. In 2024 , the company's greenhouse gas emissions from categories three to six are 514.7722 metric tons of CO 2 e (emissions are rounded to the fourth decimal place), accounting for 4.43% of the total emissions .

3.3 Total greenhouse gas emissions

The company's 2024 emission inventory is shown in Table 3-4 . The total greenhouse gas emissions are 11622.6102 metric tons CO2e , excluding CO2 directly emitted by biomass fuel , and the carbon dioxide emissions from biomass combustion are 0.0000 metric tons. The emissions of various greenhouse gases are: CO2 emissions 762.2917 metric tons CO2e ; CH4 emissions 16.2989 metric tons CO2e; N2O emissions 4.4865 metric tons CO2e; HFCs emissions 0.0000 metric tons CO2e; PFCs emissions 0.0000 metric tons CO2e; SF6 emissions 0.0000 metric tons CO2e ; NF3 emissions 0.0000 metric tons CO2e; Others emissions 10839.5330 metric tons CO2e .

Table 3-4 Linsuo’s 2024 Greenhouse Gas Inventory

Systems and data: data related to greenhouse gas emissions within the organization, and ways to monitor and manage emissions

Stationary and mobile combustion :

Refers to the fuel combustion of fixed equipment, and the summary results include spray incinerators , pulverized coal "dry bottom boilers" , gas boilers , and cyclone boilers . Mobile combustion emission sources are freight fleets and official vehicles . The respective emission coefficients are shown in Table 3-6, the GWP table is shown in 3-7, and their calculation formulas are shown in Appendix 1:

Table 3-6 Emission coefficient table for fixed and mobile emission sources

Table 3-7 GWP table of AR5

Anthropogenic system fugitive emissions

 
Our company collects the emissions from Linscrew-related refrigerant equipment (mobile air purifiers, ice water machines, residential and commercial building air conditioners, household refrigeration and refrigeration equipment), septic tanks (CH4), fire extinguishers (), etc., and the calculation formula and refrigerant escape rate emission factors are shown in Appendix 1 and Appendix 2.

Calculation of refrigerant extraction escape rate: Equipment emission factors refer to version 6.0.4 of the Greenhouse Gas Emission Coefficient Management Table of the Environmental Protection Agency of the Executive Yuan.

Septic tank CH4 equivalent calculation: The emission coefficient refers to version 6.0.4 of the "Greenhouse Gas Emission Coefficient Management Table" of the National Greenhouse Gas Registration Platform of the Environmental Protection Agency of the Executive Yuan.

Fire extinguisher CO2 equivalent calculation: The emission coefficient refers to version 6.0.4 of the "Greenhouse Gas Emission Coefficient Management Table" of the National Greenhouse Gas Registration Platform of the Environmental Protection Agency of the Executive Yuan.

Industrial process

The combustion emission sources of industrial processes are cement process and lime process. The respective emission coefficients are shown in Table 3-8. The GWP table is shown in 3-7. The calculation formulas are shown in Appendix 1:

Table 3-8 Emission coefficient table of industrial processes

Purchased electricity

According to the power coefficient announced by the Energy Bureau: Announcement year: 2023; Coefficient year: 2022; Emission coefficient: 0.495; Unit: kg CO2e/kWh 

Upstream transportation and distribution 

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient .

Downstream transportation and distribution

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient]

employee commuting

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

business trip

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Products and services purchased

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Fuel and energy related activities (not covered in Scope 1 and 2)

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Upstream emissions from purchasing capital goods

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Disposal of waste generated during operations

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Processing of products and services for sale

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

N. Use of products and services sold

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

O. End-of-life treatment of sold products and services

[Input by the company itself, list the emission sources according to the emission type, explain the calculation formula of the emission source, the source basis of the activity data (such as purchase orders, company systems, etc.) and the name and value of the emission coefficient

Results of Greenhouse Gas Emissions Inventory

Greenhouse gas emission inventory methods and plans (including data collection and emission coefficients)

Calculated using the "emission coefficient method", based on the latest coefficients and GWP values ​​announced by ISO ; see Appendix 1 for the specific calculation formula.

Total greenhouse gas emissions in a specific year

The total greenhouse gas emissions in 2024 are 11622.6102 metric tons of CO2e, divided into CO2, CH4, N2O, HFCs, etc.

The company's direct greenhouse gas emissions from Linshuo in 2024 will be 3790.5054 metric tons CO2e/year, and its indirect greenhouse gas emissions will be 7832.1047 metric tons CO2e/year. The relevant emission information is shown in Table 3-5.

Table 3-5 Direct and indirect greenhouse gas emission information of each site in 2024

The structure of greenhouse gas emissions

Category 1 (direct emissions): 3790.5054 metric tons CO2e, accounting for 32.61%

Category 2 (indirect emissions): 7317.3326 metric tons CO2e, accounting for 62.96%

Category 3 to 6 (other indirect emissions): 514.7722 metric tons CO2e, accounting for 4.43% ( IPCC5report 2024 (1)).

Analysis of data accuracy and uncertainty, and recommendations for organizations to improve greenhouse gas emissions management in the future

4.1.1 Uncertainty quantitative assessment method and accuracy

The company conducts uncertainty assessment of parameters (activity data, emission coefficients) in accordance with the uncertainty assessment guidelines for greenhouse gas inventory and calculation in the Greenhouse Gas Inventory Protocol . The uncertainty quantification assessment method mainly uses the "error propagation method" to add up the uncertainties, such as the uncertainty of the activity data and emission coefficients of the main emission sources, and evaluate them based on the emission weighted ratio. The accuracy levels of commonly used uncertainty assessment results are shown in Table 4-1 .

Table 4-1 Accuracy level of uncertainty assessment results

4.1.2 Sources of uncertainty

Category One and Category

[ The company enters the uncertainty quantification range of the company's greenhouse gas emissions by itself, and explains the uncertainty and source of the data ]

For emission coefficients, refer to Table 4-2 Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reporting Instructions. It is recommended that 7% of the manufacturing and energy industries be used for emission coefficient uncertainty assessment.

Table 4-2 Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reporting Instructions

Category three to six

Categories 3 to 6 present their uncertainties in a qualitative manner; a weighted average of the data quality of a single emission source and the total emissions of the category is used , and the calculation results are summed to obtain the uncertainty score, which is scored according to Table 4-3 Standards for grade determination. The company will use this scoring result to strengthen greenhouse gas data quality management and try its best to improve the uncertainty level.

Table 4-3 Data level classification table

4.1.3 Uncertain analysis results of greenhouse gas emission data

Category 1 and Category 2

Based on the uncertain single emission source and inventory quantification results, the uncertainty assessment results of the company's Category 1 to Category 2 greenhouse gas emissions in 2024 , the error value is between [ the company's own input " 95% confidence interval lower limit and 95% confidence interval" upper limit", the information can be obtained in the downloaded inventory]; the analysis results show that the quality accuracy level of the company's emission inventory data is [the company inputs the "inventory data quality accuracy" by itself, the information can be obtained in the downloaded inventory ] , it should be Has considerable credibility. In the future, our company will strengthen greenhouse gas data quality management based on this quantitative result and try its best to reduce uncertain values. The details of the company’s quantitative uncertainty assessment are shown in Table 4-4 .

Table 4-4 Category 1 to Category 2 greenhouse gas uncertainty quantitative assessment results

Category One and Category

The company's data quality analysis for Category 3 to Category 6 in 2024 is shown in Table 4-5 .

Table 4-5 Category 3 to Category 6 data quality analysis table

4.1.4 Recommendations for organizations to improve greenhouse gas emissions management in the future

 [
Companies provide their own input on future greenhouse gas emissions]