浙江工业企业高氟物处理降低碳排放评价数据

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。为同行业企业高氟物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。Through the treatment of enterprise distillation residual liquid, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are improved, energy consumption is lowered, and the process is clean and environmentally friendly without secondary pollution, achieving near-zero emissions and waste recycling. It provides data support for enterprises in the same industry to convert high-fluoride waste treatment volume into carbon emissions. 1. Data Source: The data comes from the records of daily inbound hazardous waste volume and hazardous waste treatment data of the 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. 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 as much as possible. 3. Indicator coefficient for enterprise carbon dioxide emission reduction: a=Y/X. Y: Reduced carbon dioxide emissions; X: Post-treatment tonnage. 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. 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 as much as possible. Reduced carbon dioxide emissions = 0.4 * post-treatment tonnage. 4. Through the efficient treatment of the enterprise's hazardous waste, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are improved, energy consumption is lowered, and carbon emission standards are met.

搜集汇总

数据集介绍

特点

该数据集聚焦于浙江工业企业高氟物处理过程中的碳排放降低效果，包含1066条每日更新的数据记录。通过一元线性回归模型，数据集展示了处理吨数与碳排放减少量之间的关系，支持企业优化环保处理流程，实现近零排放和废弃物的循环利用。