LCA dataset : raw coal

raw coal

raw coalUnit：kgActivity Type：Consumption Mix

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System boundary

Cradle to Consumer

Identity ID

7b6dd230-f0c8-4d22-93d9-6560e62c3af2

Dataset category

Materials

Associated ID

f8e51a0b-4d95-41fe-be5e-7244b8c5e57c

Included activities starts

The boundaries of market activities start with products from different regions

Included activities ends

The boundary of market activities ends with the general product supply to this area.

Description

This dataset is a market activitiy dataset, covering the average transport distance of the raw coal market in the southwestern region. In China, coal is mainly transported by rail, waterway, and road. The average coal transport losses are also included. The data reference sources include the Year Book of China Transportation & Communications, China Energy Statistics Yearbook, Chongqing Statistical Yearbook, Sichuan Province Statistical Yearbook, Guizhou Province Statistical Yearbook, Yunnan Province Statistical Yearbook, and the General Administration of Customs statistical data, etc.

Activity Description

This dataset is a market activity dataset, where each market represents a consumption mix of products within a specific region, connecting suppliers with consumers of the same product within that region. The market covers producers and importers of the product within the same geographical area. In addition, the market also takes into account the transport, freight of the product to the consumer, and losses during transportation.

Process Description

Raw coal refers to coal that is mined from underground and from which only visible gangue has been selected, without any further processing. Based on the degree of carbonization and physical properties, raw coal can be classified into types such as lignite, bituminous coal, and anthracite. Raw coal is widely used in energy, metallurgy, and chemical industries, and it is an important energy foundation for the national economy.

Time period

2022

2024

Geography

China,Southwest China

Geography comment

By merging multiple data sources, the average data for the southwestern region is formed.

Macroeconomic value

Business-as-Usual

Data validation

Yes

Technology

Current Technology

Technology comment

Not specified.

On-chain Information:

Blockchain Hash Value

35f9cb0790a697e21a0d2aa6afd576f2caf9c1afcdaeb00664d1e65fb9543bbd

Timestamp

2025-08-12

Block Number

1616595

Blockchain Technical Support

https://antdigital.com/products/baas

On-chain Data Query