浙江工业企业间二甲苯处理降碳排放评价数据

通过企业间二甲苯处理，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。为同行业企业间二甲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间二甲苯，以及处理间二甲苯的数据 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 m-xylene treatment in enterprises, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are enhanced, energy consumption is lowered, the process is clean and environmentally friendly with no secondary pollution generated, and near-zero emissions and waste recycling are achieved. This dataset provides data support for converting carbon emissions from m-xylene treatment volume among enterprises in the same industry.
1. Data Source: The data is collected from the daily inbound m-xylene inventory and m-xylene treatment data of the enterprise.
2. Indicator Coefficient for Waste Treatment Volume: a = Y/X. Y: Tonnage after treatment; X: 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, the model is trained to obtain a value of 0.98, enabling Y to accurately reflect the actual impact of X as much as possible.
3. Indicator Coefficient for Enterprise Carbon Dioxide Emission Reduction: a = Y/X. Y: Reduced carbon dioxide emissions; X: Tonnage after treatment. This coefficient adopts a univariate linear regression model, 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, the model is trained to obtain a value of 0.4, enabling Y to accurately reflect the actual impact of X as much as possible. Reduced carbon dioxide emissions = 0.4 × tonnage after treatment.
4. Through efficient treatment of hazardous wastes in the enterprise, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are enhanced, energy consumption is lowered, and compliance with carbon emission standards is achieved.

搜集汇总

数据集介绍

特点

该数据集记录了浙江工业企业间二甲苯处理过程中的降碳排放评价数据，包含1057条记录，每日更新。数据应用于通过处理间二甲苯减少化石能源消耗，提高固碳和碳捕捉技术，实现近零排放和废弃物循环利用，为同行业企业提供数据支持。