浙江工业企业乙酸丁酯处理降碳排放评价数据

通过企业乙酸丁酯处理，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。为同行业企业乙酸丁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丁酯，以及处理乙酸丁酯的数据 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。

Through the treatment of butyl acetate in the enterprise, fossil energy consumption is reduced, the levels of 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. This dataset provides data support for converting butyl acetate treatment volume into carbon emissions for enterprises in the same industry.
1. Data Source: The data is sourced from the daily warehouse-in quantity of butyl acetate and the butyl acetate treatment data of this enterprise.
2. Indicator Coefficient for Waste Treatment Volume: a = Y/X. Here, Y represents the tonnage after treatment, and X represents the measured tonnage of warehouse-in butyl acetate. 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, 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. Here, Y represents the reduced carbon dioxide emission amount, and X represents the 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. 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 as much as possible. The reduced carbon dioxide emission amount = 0.4 × tonnage after treatment.
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 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处理乙酸丁酯的详细数据，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。数据集每日更新，适用于制造业企业评估碳排放和废弃物处理效果。