Process information
| Key Data Set Information | |
| Location | LYG-JS-CN |
| Geographical representativeness description | The case factory of the EEG route was selected from the project of Lianyungang Petrochemical Co. Ltd. that comprehensively process and utilize 3.2 million tons of light hydrocarbon annually. This project, built in 2018, is located in Lianyungang city of Jiangsu province, belonging to the economically developed Yangtze River Delta. The annual capacity of ethane processing is 1.64 million tons to produce1.82 million tons of ethylene glycol. |
| Reference year | 2018 |
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| Use advice for data set | Users of this LCA dataset for paraxylene production should note that we considered the waste flows from production processes but excluded the environmental burdens of waste disposals (e.g., incineration), factory infrastructure construction, and equipment maintenance from the scope of analysis. |
| Technical purpose of product or process | As a basic chemical material, ethylene glycol is crucial to its downstream economic industries of polyester, textile and apparel, packaging materials, electronic appliances. |
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| General comment on data set | The objective of the LCA model in this study is to quantitatively assess the environmental loads of ethylene glycol produced by EEG. The functional unit of the LCA model is defined as making one ton of ethylene glycol product with a purity of 99.9% in weight. The system boundary of ethylene glycol production was defined as "cradle to gate". The LCA was performed by the attributional method that assigns the specific environmental impacts to its functional unit. The specific process routes include (1) Ethylene production via ethane oxidative cracking, with intermediate mixed C3, C4, and C5+ co-produced, and (2) Production of epoxyethane, diethylene glycol, triethylene glycol via ethylene oxidation, then ethylene glycol production by epoxyethane hydration. |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Time representativeness | |
| Time representativeness description | Craft built in 2018 |
| Technological representativeness | |
| Technology description including background system | The inflows includes the consumption of all raw materials, energy, electricity, steam, water and auxiliary chemicals, while the outflows reflects the outputs of ethylene glycol and its byproducts (e.g., diethylene glycol and triethylene glycol). |
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| Mathematical model | |
| Model description | Feedstocks of coal, naphtha and ethane come from varied market sources. Therefore, we excluded the environmental burdens of raw materials transportation to lower the uncertainties. |
Modelling and validation
Administrative information
Inputs and Outputs