Applied Energy, Vol.179, 488-496, 2016
Development of a statistical analysis model to benchmark the energy use intensity of subway stations
This paper presents an Energy Use Intensity (EUI) indicator model for energy benchmarking subway stations. Among the mass transportation systems, a subway, in terms of its rapidity, punctuality, and efficiency, has been preferred in metropolitan area and recently spotlighted as it mitigates environmental impacts to global warming. Of its several advantages, a subway's carbon footprint is negligible, which directly contributes to energy savings. Therefore, demands of subway systems have increased. However, subway stations have rarely been included in most energy performance studies and surveys. Due to a lack of information and design complexity, most designers are not able to do optimal design practices. A statistical model was developed in this study using the benchmark process for 157 actual subway stations in Seoul, South Korea. It includes measured data, utility bills, simulation results, and regression modeling. This adjusted EUI benchmark model was developed using characteristics of subway stations and a statistical validation process. The effectiveness of the model is tested and verified by comparing between measured EUI and adjusted normalized EUI (EUInorm) of actual subway stations. This paper includes the test results of EUI indicator model to benchmark energy performance and assesses existing subway station. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:Subway stations;Underground;Energy performance benchmark;Measured and simulated data;Statistical validation;Regression model