Predicting the CO 2 Emission of Concrete Using Statistical Analysis

Abstract

Accurate assessment of CO2 emission from buildings requires gathering CO2 emission data of various construction materials. Unfortunately, the amount of available data is limited in most countries. This study was conducted to present the CO2 emission data of concrete, which is the most important construction material in Korea, by conducting a statistical analysis of the concrete mix proportion. Finally, regression models that can be used to estimate the CO2 emission of concrete in all strengths were developed, and the validity of these models was evaluated using 24 and 35MPa concrete data. The validation test showed that the error ratio of the estimated value did not exceed a maximum of 5.33%. This signifies that the models can be used in acquiring the CO2 emission data of concrete in all strengths. The proposed equations can be used in assessing the environmental impact of various construction structural designs by presenting the CO2 emission data of all concrete types.