浙江工业企业乙苯处理降碳排放评价数据

通过企业乙苯处理，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。为同行业企业乙苯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苯，以及处理乙苯的数据 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。

Through the enterprise's ethylbenzene treatment process, fossil energy consumption is reduced, the levels of carbon sequestration and carbon capture technologies are enhanced, energy consumption is lowered, clean and environmentally friendly production is realized without secondary pollution, and near-zero emissions and waste recycling are achieved. This dataset provides data support for converting the ethylbenzene treatment volume of enterprises in the same industry into carbon emissions.
1. Data Source: The data is collected from the daily inbound ethylbenzene and ethylbenzene treatment data of this enterprise.
2. Relevant indicator coefficient for waste treatment volume: a = Y/X. Herein, Y denotes the treated tonnage, and X denotes 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 to be learned by the model. Using previously collected data to train the model, the value of a is obtained as 0.98, enabling Y to accurately reflect the actual impact of X.
3. Indicator coefficient for enterprises' carbon dioxide emission reduction: a = Y/X. Herein, Y denotes the reduced carbon dioxide emission amount, and X denotes the treated tonnage. A univariate linear regression model is adopted, where Y is the target variable, X is the input feature, and a is the parameter to be learned by the model. Using previously collected data to train the model, the value of a is obtained as 0.4, enabling Y to accurately reflect the actual impact of X. The reduced carbon dioxide emission amount = 0.4 * treated tonnage.
4. Through the efficient treatment of hazardous wastes in the enterprise, fossil energy consumption is reduced, the levels of carbon sequestration and carbon capture technologies are enhanced, energy consumption is lowered, and carbon emission compliance is achieved.

搜集汇总

数据集介绍

特点

该数据集详细记录了浙江工业企业乙苯处理过程中的关键数据，旨在通过数据分析支持减少碳排放和实现环保目标。数据集每日更新，包含1058条记录，适用于制造业中的环保和能源管理领域。