Literature DB >> 25947047

Real-time emissions from construction equipment compared with model predictions.

Bardia Heidari1, Linsey C Marr.   

Abstract

The construction industry is a large source of greenhouse gases and other air pollutants. Measuring and monitoring real-time emissions will provide practitioners with information to assess environmental impacts and improve the sustainability of construction. We employed a portable emission measurement system (PEMS) for real-time measurement of carbon dioxide (CO), nitrogen oxides (NOx), hydrocarbon, and carbon monoxide (CO) emissions from construction equipment to derive emission rates (mass of pollutant emitted per unit time) and emission factors (mass of pollutant emitted per unit volume of fuel consumed) under real-world operating conditions. Measurements were compared with emissions predicted by methodologies used in three models: NONROAD2008, OFFROAD2011, and a modal statistical model. Measured emission rates agreed with model predictions for some pieces of equipment but were up to 100 times lower for others. Much of the difference was driven by lower fuel consumption rates than predicted. Emission factors during idling and hauling were significantly different from each other and from those of other moving activities, such as digging and dumping. It appears that operating conditions introduce considerable variability in emission factors. Results of this research will aid researchers and practitioners in improving current emission estimation techniques, frameworks, and databases.

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Year:  2015        PMID: 25947047     DOI: 10.1080/10962247.2014.978485

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  1 in total

1.  Study on Emission Characteristics and Emission Reduction Effect for Construction Machinery under Actual Operating Conditions Using a Portable Emission Measurement System (Pems).

Authors:  Junhui Chen; Yuan Li; Zhongwei Meng; Xiaoqiong Feng; Junjie Wang; Honghui Zhou; Junjie Li; Jiacheng Shi; Qiang Chen; Hongle Shi; Shuxiao Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

  1 in total

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