Title: Short-term carbon emission prediction method of green building based on IPAT model

Authors: Peng Fang

Addresses: College of Architecture and Urban Planning, Hunan City University, Yiyang, Hunan 413000, China

Abstract: In order to solve the problems of high complexity and low prediction accuracy of green building carbon emission prediction process, this paper proposes a green building short-term carbon emission prediction method based on IPAT model. The IPCC method is used to determine the influencing factors of carbon emission of green buildings, and the classification of influencing factors is completed according to the importance of influencing factors. The IPAT model is established to decompose the carbon emission into the products of different factors, and the model is used to predict the short-term carbon emission of green building construction stage and the whole stage. The experimental results show that the prediction time of this method is always less than 4 s and the prediction accuracy is always higher than 95%, which proves that this method has fast prediction process and high accuracy, and realises the design expectation.

Keywords: IPAT model; green building; short-term carbon emissions; emission factor; mutual information; impact factors.

DOI: 10.1504/IJGEI.2023.127664

International Journal of Global Energy Issues, 2023 Vol.45 No.1, pp.1 - 13

Received: 28 Jun 2021
Accepted: 29 Sep 2021
Published online: 13 Dec 2022 *