基于离散二阶差分算法的被动式木结构建筑碳排放预测方法

A Carbon Emission Prediction Method for Passive Wooden Structure Buildings Based on Discrete Second Order Difference Algorithm

常规的建筑碳排放预测方法受到初始数据序列波动性影响,导致预测误差较大,提出了基于离散二阶差分算法的被动式木结构建筑碳排放预测方法。选取围护结构与建筑外形碳排放影响因素,分别计算直接碳排放强度与间接碳排放强度,并进行扩展拟合,得到综合碳排放强度核算值,将影响指标与碳排放强度值作为离散二阶差分算法的输入数据,获取最终建筑碳排放值,结果表明,所提方法预测相对误差较小。

Conventional carbon emission prediction methods for buildings were affected by the fluctuation of initial data series,which led to large prediction errors.A carbon emission prediction method for passive wooden buildings based on discrete second-order difference algorithm was proposed.By selecting the influencing factors of carbon emission of envelope structure and building shape,the direct carbon emission intensity and indirect carbon emission intensity were calculated respectively,and the extended fitting was carried out to obtain the comprehensive carbon emission intensity calculation value,and then the influencing indexes and carbon emission intensity value were used as the input data of the discrete second-order difference algorithm to obtain the final carbon emission value of the buildings.The results show that the relative error of the proposed method is small.