| Title |
Methodology for Estimating Stochastic CO2 Emission for Construction Operation |
| Authors |
Yi, Chang-Yong ; Gwak, Han-Seong ; Lee, Dong-Eun |
| Keywords |
Carbon Dioxide ; Greenhouse Gas ; Discrete Event Simulation ; Construction Operation Model |
| Abstract |
Reducing greenhouse gas(GHG) emissions is a worldwide concern. Low carbon construction is an important operation management goal. Construction resources(i.e., equipment and laborer) are major contributors to producing GHG, and they are the main target for achieving low carbon construction. The amount of Carbon emissions varies depending on the operating conditions. This paper introduces a method which measures the variability of carbon emissions amounts. First, it allows creating construction operation models of which the level of detail is breakdown into the work task level. It makes use of the equipments' hourly fuel consumption and laborers' hourly respiration rate. Second, the method implements sensitivity analysis along with ranges of resources that are allocated in an operation model. It facilitates to find the optimal resource combination using the operation performances such as the amount of emissions, operation completion time, operation completion cost, and productivity. Third, it identifies the best fit probability distribution functions of performance criteria given a certain resource combination. It allows project manager to query the chance to complete the operation within limitations of multiple performance criteria specified by the system users. |