浙江工业企业异丙醇处理降碳排放评价数据

通过企业异丙醇处理，减少化石能源消耗，提高固碳和碳捕捉技术水平，降低能耗，清洁环保，不产生二次污染，实现了近零排放和废弃物的循环利用。为同行业企业异丙醇处理量转化碳排放量提供数据支持。1、数据来源：数据来源于本企业每日入库异丙醇，以及处理异丙醇的数据 2、废物处理量相关指标系数 ：a=Y/X。Y：处理后吨数；X：入库吨计量。采用一元线性回归模型，其中Y是目标变量，X是输入特征，而a是模型需要学习的参数。通过以往采集到的数据，对模型进行训练得到a的值为0.98，使得Y尽可能准确地反映出X的实际影响。3、企业降低二氧化碳排放量指标系数：a=Y/X。Y:降低二氧化碳排放量;X:处理后吨数.本系数采用一元线性回归模型，其中Y是目标变量，X是输入特征，而a是模型需要学习的参数。通过以往采集到的数据，对模型进行训练得到a的值为0.4，使得Y尽可能准确地反映出X的实际影响。降低二氧化碳排放量=0.4*处理后吨数。4、通过对企业危险废弃物的高效处理，减少化石能源消耗，提高固碳和碳捕捉技术水平，降低能耗，实现碳排放达标。

This dataset is established for enterprise isopropanol treatment scenarios, aiming to reduce fossil energy consumption, enhance carbon sequestration and carbon capture technologies, lower energy consumption, achieve clean and environment-friendly production without secondary pollution, realize near-zero emissions and waste recycling. It provides data support for converting enterprise isopropanol treatment volume into carbon emissions for peer enterprises.

1. Data Source: The data is derived from the daily inbound isopropanol and isopropanol treatment data of the enterprise.
2. Waste treatment volume-related indicator coefficient: a=Y/X. In this formula, Y represents the post-treatment tonnage, and X represents the inbound tonnage measurement. A univariate linear regression model is adopted, where Y is the target variable, X is the input feature, and a is the parameter that the model needs to learn. Based on previously collected data, the model is trained to obtain a value of 0.98, so that Y can accurately reflect the actual impact of X.
3. Enterprise carbon dioxide emission reduction indicator coefficient: a=Y/X. Here, Y represents the reduced carbon dioxide emission, and X represents the post-treatment tonnage. A univariate linear regression model is adopted, where Y is the target variable, X is the input feature, and a is the parameter that the model needs to learn. Based on previously collected data, the model is trained to obtain a value of 0.4, so that Y can accurately reflect the actual impact of X. The calculation formula for reduced carbon dioxide emission is: Reduced CO₂ Emissions = 0.4 × Post-treatment Tonnage.
4. Through efficient treatment of the enterprise's hazardous wastes, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are improved, energy consumption is lowered, and carbon emission compliance is achieved.