Show simple item record

dc.contributor.authorHeidari Haratmeh, Bardiaen_US
dc.date.accessioned2015-12-22T07:00:18Z
dc.date.available2015-12-22T07:00:18Z
dc.date.issued2014-06-29en_US
dc.identifier.othervt_gsexam:2866en_US
dc.identifier.urihttp://hdl.handle.net/10919/64345
dc.description.abstractThe construction industry is one of the largest emitters of greenhouse gases and health-related pollutants. Monitoring and benchmarking emissions will provide practitioners with information to assess environmental impacts and improve the sustainability of construction. This research focuses on real-time measurement of emissions from non-road construction equipment and development of a monitoring-benchmarking tool for comparison of expected vs. actual emissions. First, exhaust emissions were measured using a Portable Emission Measurement System (PEMS) during the operation of 18 pieces of construction equipment at actual job sites. Second-by-second emission rates and emission factors for carbon dioxide, carbon monoxide, nitrogen oxides, and hydrocarbons were calculated for all equipment. Results were compared to those of other commonly used emission estimation models. Significant differences in emission factors associated with different activities were not observed, except for idling and hauling. Moreover, emission rates were up to 200 times lower than the values estimated using EPA and California Air Resources Board (CARB) guidelines. Second, the resulting database of emissions was used in an automated, real-time environmental assessment system. Based on videos of actual construction activities, this system enabled real-time action recognition of construction operations. From the resulting time-series of activities, emissions were estimated for each piece of equipment and differed by only 2% from those estimated by manual action recognition. Third, the actual emissions were compared to estimated ones using discrete event simulation, a computational model of construction activities. Actual emissions were 28% to 144% of those estimated by manual action recognition. Results of this research will aid practitioners in implementing strategies to measure, monitor, benchmark, and possibly reduce air pollutant emissions stemming from construction.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectSustainable Constructionen_US
dc.subjectHeavy-duty Equipment Emissionsen_US
dc.subjectPortable Emission Measurement Systemen_US
dc.subjectVision-based Technologyen_US
dc.subjectDiscrete Event Simulationen_US
dc.titleNew Framework for Real-time Measurement, Monitoring, and Benchmarking of Construction Equipment Emissionsen_US
dc.typeThesisen_US
dc.contributor.departmentCivil and Environmental Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineCivil Engineeringen_US
dc.contributor.committeechairMarr, Linsey C.en_US
dc.contributor.committeememberPearce, Annie R.en_US
dc.contributor.committeememberGolparvar-Fard, Manien_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record