Next Article in Journal
Sensitivity-Based Model of Low Voltage Distribution Systems with Distributed Energy Resources
Previous Article in Journal
Design and Optimization of an Efficient (96.1%) and Compact (2 kW/dm3) Bidirectional Isolated Single-Phase Dual Active Bridge AC-DC Converter
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2016, 9(10), 802; doi:10.3390/en9100802

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

Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Lulea 971 87, Sweden
*
Author to whom correspondence should be addressed.
Received: 24 May 2016 / Accepted: 20 September 2016 / Published: 3 October 2016
View Full-Text   |   Download PDF [3084 KB, uploaded 3 October 2016]   |  

Abstract

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. View Full-Text
Keywords: hauling operations; optimum schedule; energy consumption; CO2 emission; hauler hauling operations; optimum schedule; energy consumption; CO2 emission; hauler
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jassim, H.S.H.; Lu, W.; Olofsson, T. A Practical Method for Assessing the Energy Consumption and CO2 Emissions of Mass Haulers. Energies 2016, 9, 802.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top