Degree Type

Thesis

Date of Award

2018

Degree Name

Master of Science

Department

Civil, Construction, and Environmental Engineering

Major

Civil Engineering

First Advisor

Kristen Cetin

Second Advisor

Halil Ceylan

Abstract

Airports are moving toward the utilization of clean energy technologies along with the implementation of practices that reduce local sources of pollution. This includes replacing fossil fuel-based with electricity-based equipment, technologies, and operations. However, given the anticipated energy demands needed for airport operations electrification, it is important to study airport energy demand profile changes after implementing such systems. Electrically-conductive concrete (ECON) is currently a focus of heated pavement design for replacing conventional practices of removing snow and ice. ECON heated pavement systems (HPSs) use electricity to heat the surface of the pavement. Since experimental studies are resource intensive and the performance of ECON HPS depends on weather conditions, developing a field data-validated numerical model enables the evaluation of its long term energy costs. In this research, a finite element (FE) model is developed and experimentally-validated using two proposed model-updating methods for full-scale ECON HPS test slabs constructed at Des Moines International Airport (DSM), Iowa. The modeling methods are able to predict energy demands and average surface temperatures within 2% and 13% respectively, across a range of snowfall rates and weather conditions. This validated model is then used to evaluate the energy consumption and thermal performance of ECON HPS at DSM, using weather conditions during typical snow events derived from typical meteorological year (TMY) data as model inputs. The estimated power demand ranges from 325 to 460 W/m2 for different weather conditions; the monthly consumption is the highest in a typical January, ranging from 165 to 446 MWh for the smallest and largest typical airport terminal gate sizes. The results of this study demonstrate the accuracy benefits of the use of model updating methods, and provide a validated tool that can be used to evaluate the energy demand of ECON HPS and develop control strategies for minimizing the demand in a diversity of weather scenarios and locations.

Copyright Owner

Seyedmohammad Sajed Sadati

Language

en

File Format

application/pdf

File Size

55 pages

Share

COinS