Lessons learned from utilizing discrete-event simulation modeling for quantifying construction emissions in pre-planning phase

Pan, Wenjia; Lee, Sang Hyun; Peña‐Mora, Feniosky

doi:10.1109/wsc.2010.5679009

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…Guggemos and Horvath reported that these three operations account for 83% of the overall construction phase emissions of the structure studied in their work [104,113]. Several previous studies have focused on quantifying and minimizing the environmental impacts of earthmoving operations through optimizing operational parameters such as fleet size [114][115][116]. Kaboli and Carmichael showed that for earthmoving operations, placing the focus on minimizing costs could also lead to minimizing the carbon emissions associated with the process [117].…”

Section: Construction Optimization Strategiesmentioning

confidence: 99%

Estimation and Minimization of Embodied Carbon of Buildings: A Review

2017

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Building and construction is responsible for up to 30% of annual global greenhouse gas (GHG) emissions, commonly reported in carbon equivalent unit. Carbon emissions are incurred in all stages of a building's life cycle and are generally categorised into operating carbon and embodied carbon, each making varying contributions to the life cycle carbon depending on the building's characteristics. With recent advances in reducing the operating carbon of buildings, the available literature indicates a clear shift in attention towards investigating strategies to minimize embodied carbon. However, minimizing the embodied carbon of buildings is challenging and requires evaluating the effects of embodied carbon reduction strategies on the emissions incurred in different life cycle phases, as well as the operating carbon of the building. In this paper, the available literature on strategies for reducing the embodied carbon of buildings, as well as methods for estimating the embodied carbon of buildings, is reviewed and the strengths and weaknesses of each method are highlighted.

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Section: Construction Optimization Strategiesmentioning

confidence: 99%

Estimation and Minimization of Embodied Carbon of Buildings: A Review

2017

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“…The application of DES in estimating emissions gives several benefits such as getting reliable statistical results on the equipment activity. It can be used to compare construction emissions from other scenarios and to aid the designing of the construction operation which has few emissions [11]. In addition, DES can simulate a project or operation by running chronologically occurring events [2].…”

Section: Discrete Event Simulationmentioning

confidence: 99%

Development of Simulation Model for Estimating Gas Emissions From Equipment in Railway Construction Processes

Jewbunchu¹

2018

GEOMATE

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ABSTRACT:The railway construction utilizes several pieces of heavy equipment resulting in exhaust emissions such as pollution and greenhouse gas emissions (GHG). The release of emissions can affect the environment and human health. Although many previous studies have attempted to approximately estimate the amount of emissions, they did not consider the detailed processes of construction. The simulation model can be applied to improve this limitation and provides the ability to allocate resources and optimize the construction process. In addition, it can help to analyze alternative approaches to reduce emissions. This paper presents the development of simulation model to analyze the amount of exhaust emissions from the equipment usage in railway construction. It compares the amount of exhaust emissions from the situation in the railway construction process, which will demonstrate the effects on the relationship between the amount of exhaust emissions and the construction approach. As a result, this research provides an alternative method to manage exhaust emissions from the railway construction process and resource management.

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“…Ahn et al (2010) Lewis et al (2009b) discussed the challenges associated with quantification of non-road vehicle emissions and proposed a new research agenda that specifically focuses on air pollution generated by construction equipment. Artenian et al (2010) demonstrated that lowering emissions could be achieved through an intelligent and optimized GIS route planning for offsite transportations of construction equipment.…”

Section: Background and Related Workmentioning

confidence: 99%

Automated Benchmarking and Monitoring of an Earthmoving Operation's Carbon Footprint Using Video Cameras and a Greenhouse Gas Estimation Model

Heydarian

Memarzadeh

Golparvar-Fard

2012

Computing in Civil Engineering (2012)

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Benchmarking and monitoring are critical steps toward improving operational efficiency of earthmoving equipment and minimizing their environmental impacts. Despite the importance, the relationship between operational efficiency and total pollutant emissions of these operations has not been fully understood. To establish such relationship and find ways to minimize the excessive environmental impacts due to reduced operational efficiencies, there is a need for an inexpensive and automated benchmarking and monitoring method. This paper presents a novel cost-effective method for monitoring carbon footprint of earthmoving operations using a visionbased equipment action recognition method along with pollutant emission inventories of construction actions. First a site video stream is represented as a collection of spatio-temporal features by extracting space-time interest points and describing each feature with a histogram of oriented gradients. The algorithm automatically learns the probability distributions of the spatio-temporal features and action categories using a multiple binary support vector machine classifier. Next, using a new temporal sliding window model, the equipment action categories are classified over a long sequence of video frames. The recognized time-series of equipment actions are placed in an emission and carbon footprint estimation model where based on the amount of emission for each equipment action, the overall Green House Gas emissions are analyzed. The proposed method is validated for several videos collected on an ongoing construction project. The preliminary results with average action recognition accuracy of 85% reflect the promise that the proposed approach can help practitioners understand operational efficiency of their construction activities and minimize excessive environmental impacts due to reduced operational efficiencies.

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Lessons learned from utilizing discrete-event simulation modeling for quantifying construction emissions in pre-planning phase

Cited by 13 publications

References 10 publications

Estimation and Minimization of Embodied Carbon of Buildings: A Review

Estimation and Minimization of Embodied Carbon of Buildings: A Review

Development of Simulation Model for Estimating Gas Emissions From Equipment in Railway Construction Processes

Automated Benchmarking and Monitoring of an Earthmoving Operation's Carbon Footprint Using Video Cameras and a Greenhouse Gas Estimation Model

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