A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers

Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during the project pl...

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Main Authors: Hassanean S. H. Jassim, Weizhuo Lu, Thomas Olofsson
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/9/10/802
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author Hassanean S. H. Jassim
Weizhuo Lu
Thomas Olofsson
author_facet Hassanean S. H. Jassim
Weizhuo Lu
Thomas Olofsson
author_sort Hassanean S. H. Jassim
collection DOAJ
description Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during the project planning stage are scarce, while most of the previous methods focus on construction stage or after the construction stages which limited the practical adoption of reduction strategy in the early planning phase. This paper presents a detailed model for estimating the energy consumption and CO2 emissions of mass haulers that integrates the mass hauling plan with a set of predictive equations. The mass hauling plan is generated using a planning program such as DynaRoad in conjunction with data on the productivity of selected haulers and the amount of material to be hauled during cutting, filling, borrowing, and disposal operations. This plan is then used as input for estimating the energy consumption and CO2 emissions of the selected hauling fleet. The proposed model will help planners to assess the energy and environmental performance of mass hauling plans, and to select hauler and fleet configurations that will minimize these quantities. The model was applied in a case study, demonstrating that it can reliably predict energy consumption, CO2 emissions, and hauler productivity as functions of the hauling distance for individual haulers and entire hauling fleets.
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spelling doaj.art-67a24a3485384cb6be67afd738af730f2022-12-22T02:55:02ZengMDPI AGEnergies1996-10732016-10-0191080210.3390/en9100802en9100802A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass HaulersHassanean S. H. Jassim0Weizhuo Lu1Thomas Olofsson2Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Lulea 971 87, SwedenDepartment of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Lulea 971 87, SwedenDepartment of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Lulea 971 87, SwedenMass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during the project planning stage are scarce, while most of the previous methods focus on construction stage or after the construction stages which limited the practical adoption of reduction strategy in the early planning phase. This paper presents a detailed model for estimating the energy consumption and CO2 emissions of mass haulers that integrates the mass hauling plan with a set of predictive equations. The mass hauling plan is generated using a planning program such as DynaRoad in conjunction with data on the productivity of selected haulers and the amount of material to be hauled during cutting, filling, borrowing, and disposal operations. This plan is then used as input for estimating the energy consumption and CO2 emissions of the selected hauling fleet. The proposed model will help planners to assess the energy and environmental performance of mass hauling plans, and to select hauler and fleet configurations that will minimize these quantities. The model was applied in a case study, demonstrating that it can reliably predict energy consumption, CO2 emissions, and hauler productivity as functions of the hauling distance for individual haulers and entire hauling fleets.http://www.mdpi.com/1996-1073/9/10/802hauling operationsoptimum scheduleenergy consumptionCO2 emissionhauler
spellingShingle Hassanean S. H. Jassim
Weizhuo Lu
Thomas Olofsson
A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
Energies
hauling operations
optimum schedule
energy consumption
CO2 emission
hauler
title A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
title_full A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
title_fullStr A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
title_full_unstemmed A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
title_short A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers
title_sort practical method for assessing the energy consumption and co2 emissions of mass haulers
topic hauling operations
optimum schedule
energy consumption
CO2 emission
hauler
url http://www.mdpi.com/1996-1073/9/10/802
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