Predicting the CO₂Emission of Concrete Using Statistical Analysis

Abstract

Accurate assessment of CO 2 emission from buildings requires gathering CO 2 emission data of various construction materials. Unfortunately, the amount of available data is limited in most countries. This study was conducted to present the CO 2 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 CO 2 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 CO 2 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 CO 2 emission data of all concrete types.

Multi-Objective Green Design Model Based on Costs, Co2 Emissions and Serviceability for High-Rise Buildings With a Mega-Structure System

“…The unit cost for each material was obtained from Korea Price Information [KPI] (2019). Unit CO 2 emissions for each material were derived from previous studies on the regression model for the emission factors of construction materials (Ji et al, 2014;Park et al, 2013;Hong et al, 2012). The rebar and H-beam are both made of steel; however, they have different unit costs and CO 2 emissions because of the different manufacturing processes.…”

“…The corresponding data were judged applicable because this study focused on analysing the CO 2 emission and cost trends with respect to the slenderness ratio for a high-rise building. (Ji et al, 2014;Park et al, 2013;Hong et al, 2012)…”