浙江工业企业含酚废水处理降碳排放评价数据

通过企业含酚废水处理，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。为同行业企业含酚废水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含酚废水，以及处理含酚废水的数据 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。

This dataset is developed based on the phenolic wastewater treatment operations of an enterprise. The treatment process reduces fossil energy consumption, enhances carbon sequestration and carbon capture technologies, lowers energy consumption, is environmentally friendly without producing secondary pollution, and achieves near-zero discharge and circular utilization of wastes. It provides data support for converting phenolic wastewater treatment volume into carbon emissions for peer enterprises.

1. Data Source: The data is collected from the daily incoming phenolic wastewater stored in the enterprise and the corresponding treatment records of phenolic wastewater.
2. Indicator Coefficient for Waste Treatment Volume: a = Y/X, where Y represents the tons of wastewater after treatment, and X represents the metered tons of incoming wastewater into storage. A univariate linear regression model is employed, with Y as the target variable, X as the input feature, and a as the parameter to be learned via model training. Using previously collected datasets, the model is trained to obtain a value of 0.98 for a, enabling Y to accurately reflect the actual impact of X.
3. Indicator Coefficient for Enterprise Carbon Dioxide Emission Reduction: a = Y/X, where Y represents the reduced amount of carbon dioxide emissions, and X represents the tons of wastewater after treatment. This coefficient is derived from a univariate linear regression model, with Y as the target variable, X as the input feature, and a as the parameter to be learned. Trained with historical collected data, the model yields a value of 0.4 for a, ensuring Y accurately reflects the actual impact of X. The formula for reduced carbon dioxide emissions is: Reduced Carbon Dioxide Emissions = 0.4 * Tons of Wastewater After Treatment.
4. Efficient treatment of hazardous wastes within the enterprise reduces fossil energy consumption, improves carbon sequestration and carbon capture technologies, lowers energy consumption, and ensures compliance with carbon emission standards.

搜集汇总

数据集介绍

特点

该数据集提供了浙江工业企业含酚废水处理的详细数据，包括处理前后的吨数和降低的二氧化碳排放量，旨在通过高效处理危险废弃物减少碳排放，支持环保技术的应用和发展。