浙江工业企业三甲苯处理降碳排放评价数据

通过企业三甲苯处理，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。为同行业企业三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三甲苯，以及处理三甲苯的数据 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。

This enterprise's trimethylbenzene treatment process reduces fossil energy consumption, enhances carbon sequestration and carbon capture technologies, lowers energy consumption, is clean and environmentally friendly with no secondary pollution, and achieves near-zero emissions and waste recycling. It provides data support for converting trimethylbenzene treatment volume to carbon emissions for peer enterprises.
1. Data Source: The data is collected from the daily inbound trimethylbenzene inventory and trimethylbenzene treatment data of this enterprise.
2. Indicator Coefficient for Waste Treatment Volume: a = Y/X. Where Y represents the tonnage after treatment, and X represents the measured inbound tonnage. A univariate linear regression model is adopted, in which Y is the target variable, X is the input feature, and a is the parameter to be learned by the model. Trained on previously collected data, the model yields 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 carbon dioxide emission amount, and X represents the tonnage after treatment. This coefficient also adopts 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 on historical collected data, the model obtains an a value of 0.4, allowing Y to accurately reflect the actual impact of X. The reduced carbon dioxide emission amount = 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 improved, energy consumption is lowered, and compliance with carbon emission standards is achieved.

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数据集介绍

特点

该数据集记录了浙江工业企业三甲苯处理的相关数据，包括入库吨计量、处理后吨数和降低二氧化碳排放量等关键指标，共1058条数据，每日更新。应用场景主要是通过处理三甲苯减少化石能源消耗，降低碳排放，为同行业企业提供数据支持。