浙江工业企业蒸馏残液处理降碳排放评价数据

通过企业蒸馏残液处理，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。为同行业企业蒸馏残液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危废量的体现，以及处理危废的数据 2、废物处理量相关指标系数 ：a=Y/X。Y：日处理吨数；X：日入库吨数。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0.98，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 achieves near-zero emissions and waste recycling through enterprise distillation residual liquid treatment, reducing fossil energy consumption, improving carbon sequestration and carbon capture technologies, lowering energy consumption, being clean and environmentally friendly without secondary pollution. It provides data support for converting distillation residual liquid treatment volume to carbon emissions for enterprises in the same industry.
1. Data Source: The data comes from the records of daily hazardous waste inbound volume and hazardous waste treatment data of our enterprise.
2. Indicator Coefficient for Waste Treatment Volume: a=Y/X. Y: Daily treatment tonnage; X: Daily inbound 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. Trained with previously collected data, the model yields a value of 0.98 for a, 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: Carbon dioxide emission reduction; X: Post-treatment tonnage. A univariate linear regression model is adopted for this coefficient, where Y is the target variable, X is the input feature, and a is the parameter to be learned by the model. Trained with previously collected data, the model yields a value of 0.4 for a, enabling Y to accurately reflect the actual impact of X as much as possible. Carbon dioxide emission reduction = 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.

搜集汇总

数据集介绍

特点

该数据集记录了浙江工业企业蒸馏残液处理过程中的降碳排放评价数据，包含1066条记录，每日更新。数据通过一元线性回归模型计算处理量和碳排放量之间的关系，旨在为同行业企业提供数据支持，实现近零排放和废弃物的循环利用。