浙江工业企业乙酸乙酯处理降碳排放评价数据

通过企业乙酸乙酯处理，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。为同行业企业乙酸乙酯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乙酸乙酯，以及处理乙酸乙酯的数据 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 developed based on the enterprise's ethyl acetate treatment process, which reduces fossil energy consumption, enhances carbon sequestration and carbon capture technologies, lowers energy consumption, is clean and eco-friendly without secondary pollution, achieves near-zero emissions and waste recycling, and provides data support for converting ethyl acetate treatment volume into carbon emissions for peer enterprises.
1. Data Source: The data is collected from the daily inbound ethyl acetate volume and ethyl acetate treatment data of the enterprise.
2. Waste Treatment Volume-related Indicator Coefficient: The formula is a = Y/X, where Y stands for the tonnage after treatment, and X represents the measured inbound tonnage. A univariate linear regression model is adopted, with Y as the target variable, X as the input feature, and a as the parameter to be learned by the model. Based on previously collected data, the model is trained to obtain a value of 0.98, enabling Y to accurately reflect the actual impact of X.
3. Enterprise Carbon Dioxide Emission Reduction Indicator Coefficient: The formula is a = Y/X, where Y refers to the reduced carbon dioxide emissions, and X represents the tonnage after treatment. A univariate linear regression model is adopted, with Y as the target variable, X as the input feature, and a as the parameter to be learned by the model. Based on previously collected data, the model is trained to obtain a value of 0.4, enabling Y to accurately reflect the actual impact of X. The formula for reduced carbon dioxide emissions is: Reduced CO₂ Emissions = 0.4 × Tonnage after Treatment.
4. The efficient treatment of the enterprise's hazardous wastes reduces fossil energy consumption, enhances carbon sequestration and carbon capture technologies, lowers energy consumption, and achieves compliance with carbon emission standards.

搜集汇总

数据集介绍

特点

该数据集记录了浙江工业企业处理乙酸乙酯的相关数据，包括入库量、处理量及降低的二氧化碳排放量，旨在通过数据分析支持碳排放减少和废弃物循环利用。数据集规模为1062条，每日更新，适用于制造业中关注环保和碳排放的企业。